HYDROLOGICAL MODELING OF ALBERTA USING SWAT MODEL A preliminary Report Karim C. Abbaspour abbaspour@eawag.ch EAWAG, Swiss Federal Institute of Aquatic Scienec and Technology Monireh Faramarzi monireh.faramarzi@cc.iut.ac.ir Departement of Natural Resources, Isfahan University of Technology, Iran Elham Rouholahnejad EAWAG, Swiss Federal Institute of Aquatic Scienec and Technology elham.rouholahnejad@eawagh.ch Dec 2 2010 1 Content 1. Summary 3 2. Introduction 2.1 Climate 2.2 Water availability 2.3 Water use and water management 2.4 Future climate change impact 2.5 Project objectives 4 4 5 9 15 15 3. Methodology 3.1 SWAT simulator 3.2. The calibration program 3.3 The calibration setup and analysis 17 17 19 20 4. Input data 21 5. Preliminary results 29 6. Final results 6.1 Final results using observed climate data as input to the SWAT model 6.1 Final results using CRU gridded climate data as input to the SWAT model 36 36 7. Data gap 53 8. Future plan 55 9. References 56 Appendix I Appendix II Appendix III 59 79 81 42 2 1. Summary Water is Alberta's most important renewable natural resource. It is reported that it has a good supply of surface water. However, spatial and temporal variation of the climate and hydrologic cycle has caused regions of water scarcity in this province. Numerous factors contribute to the complexity of water management in Alberta. These include: conflict over water resources; inadequacy of knowledge about existing programs, water uses, and water availability; and the nature and extent of stakeholder participation. An exact knowledge of internal renewable water resources of Alberta is needed to lay a strong basis for a systematic analysis of water use-water availability for its long-term planning of the water and food security. The main objective of this project is the quantification of Alberta’s water resources including all components of the water balance at the subbasin spatial and monthly temporal scale. This includes blue water flow (river discharge plus deep aquifer recharge), green water flow (evapotranspiration), green water storage (soil moisture), and aquifer recharge. In this study we used the program Soil and Water Assessment Tool (SWAT) in combination with the Sequential Uncertainty Fitting program (SUFI-2) to calibrate and validate a hydrologic model of Alberta based on river discharges. Uncertainty analyses were also performed to assess the model performance. The results were not very satisfactory by using the observed climate data, but more reasonable results were obtained through the use of CRU (Climate Research Unit, http://www.cru.uea.ac.uk/) gridded climate data. The study period modeled was 1985–2006 for calibration (1991-2006) and validation (1985-1990). We quantified all components of the water balance including blue water flow (water yield plus deep aquifer recharge), 3 green water flow (actual and potential evapotranspiration) and green water storage (soil moisture) at sub-basin level with monthly time-steps. The spatially aggregated water resources components were used to predict subprovincial blue and green water resources availability. Using the 2.5 arcmin population map available from the Center for International Earth Science Information Network in 2005, 20015, and 2015 (CIESIN, http://sedac.ciesin.columbia.edu/gpw), the water scarcity indicator, was obtained and presented as per-capita blue water availability per year at subbasin level. The results show that the lack of information on the dam operation, water diversion, and consumptive water use causes a large uncertainty in the areas concerned, hence we do not show this graph until more accurate information is used. Pertaining to the staple food crops in the province, the vulnerable situation of water resources availability has serious implications for the province’s food security, and the looming impact of climate change could only worsen the situation. This study provides a strong basis for further studies concerning the water and food security and the water resources management strategies in the province and a good basis for the analysis of impact of climate change on blue and green water resources in Alberta. 2. Introduction 2.1 Climate Alberta, as the fourth largest province in Canada, has an area of 661,185 km2. It is located between 45-65°N and 105-125 ° E. The altitude varies from 170 m in the Wood Buffalo National Park in the northeast to 3747 m in the Rocky Mountains along the southwestern border. This variation as well as the variation in sea surface temperature of the Pacific Ocean has a pronounced influence on the diversity of the climate. Although most parts of Alberta could be classified as semi-arid, it has a wide range of climatic 4 conditions. The average annual precipitation is 510 mm yr-1. The leeward side of the Canadian Rocky Mountains, part of which is known as the Foothills, is relatively wet, with an average annual precipitation of 600 mm or more, while that of northern Alberta ranges from about 400 mm (northeast) to over 500 mm on the northwest, and that of southern Alberta from less than 350 mm (southeast) to about 450 mm [Mwale et al., 2009]. Arctic air masses in the winter produce extreme minimum temperatures varying from −54 °C in northern Alberta to −46 °C in southern Alberta. In the summer, continental air masses produce maximum temperatures from 32 °C in the mountains to 40 °C in southern Alberta. 2.2 Water availability Although Alberta is abundant in terms of fresh water, but the spatial and temporal variation of this resource has caused regions of scarcity. Northern regions of Alberta are the wettest. The majority of Alberta's water is generated in the Peace River system and flows northward through the Slave River. In contrast, in the south, where water use is highest, the least amount is available. There are three main reasons of variation in stream flow: i) The size of drainage basin (e.g., the Peace River Basin encompasses nearly 44% of total area of Alberta); ii) The location of headwater systems (the mountains and foothills receive more precipitation than do the plains); iii) The variation in climate (temperature is higher and evaporation greater in southeastern Alberta than in northern and western regions). Based on the hydrologic deviation by Alberta Environment (http://www.environment.alberta.ca/apps/basins/default.aspx?Basin=12), there are ten River Basins (RB) or River Sub-basins (RSB) in Alberta (Figure 1). These include: Hay River Basin: the Hay River is located in the northwest portion of the province and originates in British Columbia's Rocky Mountains. It flows from 5 the Hay River eventually meet Arctic Ocean. The basin has a drainage area of 47,900 km2 at the Alberta-Northwest Territories border. The mean annual discharge at the border is 3,630 million m3. Peace River Basin: the Peace River begins in the mountains of British Columbia, and flows to Alberta. The W.A.C. Bennett Dam is located Figure 1. The modeled region of Alberta including main river basins/subbasins. The white area is the modeled subbasins which are not located within Alberta boundary. on the Peace River in British and influences the stream flow in downstream. 6 The river flows northeast across the province, through the town of Peace River and empties into the Slave River. At Peace Point the Peace River has a mean annual discharge of 68,200 million m3 and a drainage area of 293,000 km2. The Peace/Slave River Basin includes the Wapiti, Smoky, Little Smoky and Wabasca rivers. Athabasca River Basin: the Athabasca River originates in the Rocky Mountains of Alberta. The river flows northeast through the province, past the urban centers of Jasper, Hinton, Whitecourt, Athabasca and Fort McMurray prior to emptying into Lake Athabasca. Flows from the basin eventually make their way to the Arctic Ocean. At Jasper, Athabasca and Fort McMurray the mean annual discharge is 2,790 million m3, 13,600 million m3 and 20,860 million m3, respectively. The drainage areas at Jasper, Athabasca and Fort McMurray are 3,880 km2, 74,600 km2 and 133,000 km2 respectively. The Athabasca River Basin includes the McLeod, Pembina and Clearwater rivers. Beaver River Basin: the Beaver River is one of the smaller basins within the province with a catchment area of about 14,500 km2. The basin and river extend east, across the provinces of Saskatchewan and Manitoba, emptying into Hudson's Bay. The Beaver River begins at Beaver Lake, and then flows through urban centres of Bonnyville, Cold Lake and Grand Centre. The mean annual discharge of the Beaver River at the Alberta-Saskatchewan border is 653 million m3. The Cold Lake Area Weapons Range comprises the majority of the northern part of the basin. The basin is characterized by many meandering streams and rivers which drain such lakes as Cold, Moose, Muriel, Ethel and Wolf Lake. North Saskatchewan River Basin: covers about 80,000 km2 of the province. 7 The basin begins in the ice fields of Banff and Jasper National Parks and generally flows in an eastward direction to the Alberta-Saskatchewan border. The Brazeau, Nordegg, Ram, Clearwater, Sturgeon and Vermilion rivers flow into the North Saskatchewan River within Alberta. The Battle River also forms part of the North Saskatchewan Basin and joins with the North Saskatchewan River in Saskatchewan. There are two large dams located in the basin. The Big Horn Dam on the North Saskatchewan River creates Lake Abraham. The Brazeau Reservoir is created by the Brazeau Dam, located on the Brazeau River. Major centres within the basin include Drayton Valley, Edmonton, Fort Saskatchewan and the Saddle Lake Indian Reserve. The mean annual discharge from the basin in Alberta into Saskatchewan is over seven billion m3. The Red Deer, Oldman and Bow River Subbasins: are part of South Saskatchewan River Basin; begin in the Rocky Mountains, generally flowing eastward through foothills and prairie. The combined watershed of the basins is 121,095 km2, of which 41% is from the Red Deer sub-basin. The mean annual discharge from the combined basin into Saskatchewan is 9,280 million m3. Milk River Basin: is the smallest of the province's major river basins encompassing an area of about 6,500 km2. The river is a northern part of the Missouri-Mississippi River Basin. The Milk River enters Alberta from Montana, flows eastward through the southern portion of the province prior to looping back to Montana. Mean annual flows entering Alberta are 106 million m3 and leaving Alberta are 167 million m3. The annual variation of water resources causes critical water supply licensing problems in the areas where water users have already been licensed to 8 withdraw a certain amount of the estimated mean annual flow volume. Total annual runoff from the high mountain regions varies little from year to year. The variation is large for Bow River from about 900 million m3 in 1949 to 160 million m3 in 1954. In contrast, total annual flow variation in the Battle River at Ponoka, a central plain stream, has ranged from 15 million m3 in 1976 to 260 million m3 in 1927. Located midway between these two, the Red Deer River, at Red Deer, which rises on the eastern slopes of the Rocky Mountains, has experienced a variation in total annual flow volume from less than 700 million m3 in 1949 to almost 4000 million m3 in 1915. Seasonal variations also affect water supply. Spring melts and summer rains produce the great volumes of flow while drier fall weather and temporary storage of water in snow and ice during winter are reflected in low runoff patterns. This seasonal change in surface water flow varies across the province. Mountain-fed streams such as the Bow River generally experience greatest flows in June or July during the mountain snow melting period, while streams located in the plains usually peak in April. The Battle River is an example of the latter. The West Arrow wood and Sounding creeks respond almost entirely to an early spring melt. 2.3 Water use and water management Aside from hydro power production (a very significant but non-consumptive use) there are five main water withdrawal (consumptive) uses in Alberta: agricultural, thermal power, municipal, industrial and water injection. In addition there are instream uses other than hydro, which include fisheries, recreation and effluent dilution. The total amount of water withdrawn by users is not fully consumed; some, such as sewage effluent, irrigation return flow and thermal cooling water is returned to the natural drainage system. For example, the total amount of surface water withdrawn by major water users in Alberta in 1989 was approximately 4700 million m3, while the total 9 volume consumed was 2600 million m3. The irrigation is the largest water user so far. In addition to the sources of surface water, groundwater is an important component of Alberta's water resource. Practically every part of the province has groundwater, but aquifer depths, yields, and water potability vary. Aquifer discharge establishes the base flow of many rivers and streams, sustaining them during winter and other dry periods. Of all the water currently withdrawn in Alberta, only about 3% comes from the groundwater system. However, this relatively small volume is of vital importance, since a great many Albertans depend upon groundwater for their domestic water supply. Currently there are approximately 500,000 domestic wells in the province and about 7,000 are added each year. Figure 2 shows the percent of natural water flow which is allocated in each river basin. It is shown that in the central and southern part of Alberta water use is high and in some areas it is fully allocated for different sectors of uses. Irrigation for agriculture is the largest user of water in Alberta, accounting for 60 to 65 per cent of all water consumed on average. In 2007, irrigation including small, private irrigators - accounted for nearly 43% of allocated surface water, or more than 4.1 billion m3. It represents almost 73% of all water allocated in the South Saskatchewan River Basin. Thirteen organized irrigation districts collectively represent the largest amount of water allocated for a specific purpose in Alberta at over 3.5 billion m3 (Figure 3). The four largest districts account for 83% of total diversions. 10 Figure 2. Water allocations in 2008 by river basins compared to average natural flow [Government of Alberta, Environment]. Figure 3. Thirteen organized irrigation districts in Alberta 11 Nearly all uses of water result in some water that is not returned back to the ecosystem from which it was derived. With irrigation, the majority of water applied to crops is taken up by plants for growth, or evapo-transpires into the atmosphere. Additionally, a small amount of water is never used for irrigation itself; however, it is required to maintain the minimum depth of water in canals and reservoirs in order to transport irrigation water through the system. Therefore, some of this water ends up as return flow back into other creeks and/or rivers, though seepage and evaporation losses in canals and reservoirs can occur. In much of southern Alberta, there is not enough rainfall and moisture to naturally sustain agricultural crops. However, there is abundant sunshine and heat that can contribute to growing many different crops if water were not a limiting factor. Early in the settlement of Alberta, it was recognized that agriculture would not be successful in the southern region without an abundant and assured supply of water to irrigate fields. Irrigation Districts were organized and granted water licenses to divert large quantities of water from the tributaries of the South Saskatchewan River, primarily the Oldman (St. Mary, Waterton and Belly) and Bow Rivers [Alberta Water Portal, http://www.albertawater.com/index.php?option=com_content&view=article &id=84]. Numerous factors contribute to the complexity of water management, including conflict over water resources; adequacy of knowledge about existing programs, water uses, and water availability; and the nature and extent of stakeholder participation. The manmade changes on natural water systems have a significant impact, both spatially and temporally, on hydrological water balance of the region [Faramarzi et al., 2009]. Figure 4 shows the Alberta water management infrastructure and projects 12 Northern Region Central Region Southern Region Alberta Central Region Figure 4. Major water management infrastructure projects in Alberta [owned and operated by Alberta Environment, 2005]. 13 [http://www3.gov.ab.ca/env/water/wmo/resources/maps.html]. Table 1 shows the projects operating in Central Region of Alberta. Table 1. List of the water projects which are operated by Alberta Environment within the Central Region http://www3.gov.ab.ca/env/water/wmo/resources/maps.html 14 2.4 Future climate change impact It is reported that all dry regions of the world show an overall net negative impact of climate change on water resources and freshwater ecosystems. Decrease of runoff will likely result in reduction in the value of the services provided by water resources and the increase of annual runoff in other areas are likely to be tempered in some areas by negative effects of increased precipitation variability and seasonal runoff shifts on water supply, water quality and flood risks (IPCC, 2007). Increases in temperature can affect the amount and duration of snow cover which, in turn, can affect timing of streamflow. Glaciers are expected to continue retreating, and many small glaciers may disappear entirely. Peak streamflow may move from late spring to early spring/late winter in those areas where snowpack is important in determining water availability. Changes in streamflow have important implications for water and flood management, irrigation, and planning. If supplies are reduced, off-stream users of water such as irrigated agriculture and in-stream users such as hydropower, fisheries, recreation and navigation could be most directly affected. Canada, with a wide range of climate conditions is expected to face changes on both water quantity and quality. The earlier stream peak flow in spring [Whitefield and Cannon, 2000], Drought conditions in Prairie Provinces [Nyirfa and Harron, 2001], saltwater intrusion into estuarine groundwater [Forbes et al., 1997] are repoted in Canada to be evidence of global climate change. It is of strategic importance for Canadian provinces to assess the impact of climate change on freshwater resources availability with a high spatial and temporal resolution model such as the one created here. 2.5 Project objectives Numerous factors contribute to the complexity of water management, including conflict over water resources; inadequacy of knowledge about 15 existing programs, water uses, and water availability; and the nature and extent of stakeholder participation. The main objective of this project is the quantification of Alberta’s water resources including all components of the water balance at the subbasin spatial and monthly temporal scale. This includes blue water flow (river discharge plus deep aquifer recharge), green water flow (evapotranspiration), green water storage (soil moisture), and aquifer recharge as shown in Figure 5. Blue and Green Water Definition Figure 5. Definition of water balance components including blue water flow, green water flow, and green water storage. 16 3. Methodology To model Alberta’s water resources we used the hydrologic model Soil and Water Assessment Tool (SWAT) [Arnold et al., 1998] in combination with the Sequential Uncertainty Fitting program (SUFI-2) [Abbaspour 2007, Abbaspour et al., 2007] to calibrate, validate, and perform uncertainty analysis based on the available measured river discharge data. The modeled region of Alberta is shown in Figure 1. 3.1 The SWAT simulator SWAT is a computationally efficient simulator of hydrology and water quality at various scales. It is a mechanistic time-continuous model that can handle very large watersheds in a data efficient manner. The model is already used in the “Hydrologic Unit Model for the United States” (HUMUS) [Arnold et al., 1999; Srinivasan et al., 1998], where the entire U.S. was simulated with good results for river discharges at around 6000 gauging stations. This study is now extended within the national assessment of the USDA Conservation Effects Assessment Project (CEAP, http://www.nrcs.usda.gov/Technical/nri/ceap/ceapgeneralfact.pdf). A more recent large scale SWAT application included the work of Gosain et al., [2006] where twelve large river basins in India were modelled with the purpose of quantifying the climate change impact on hydrology. SWAT is recognized by the U.S. Environmental Protection Agency (EPA) and has been incorporated into the EPA’s BASINS (Better Assessment Science Integrating Point and Non-point Sources) [Di Luzio et al., 2002]. We used SWAT to model the whole of Africa [Schuol et al., 2008a,b], and the country of Iran [Faramarzi et al., 2009] as well as smaller watershed in Switzerland [Abbaspour et al., 2007] and China [Yang et al., 2008]. 17 SWAT is developed to quantify the impact of land management practices on water, sediment and agricultural chemical yields in large complex watersheds with varying soils, land uses, and management conditions over long periods of time. The main components of SWAT are hydrology, climate, nutrient cycling, soil temperature, sediment movement, crop growth, agricultural management, and pesticide dynamics. In this study, we used Arc-SWAT [Olivera et al., 2006], where ArcGIS (ver. 9.3) environment is used for project development. Spatial parameterization of the SWAT model is performed by dividing the watershed into subbasins based on topography. These are further subdivided into a series of hydrologic response units (HRU), based on unique elevation, soil, landuse, and slope characteristics. The responses of each HRU in terms of water and nutrient transformations and losses are determined individually, aggregated at the subbasin level and routed to the associated reach and catchment outlet through the channel network. SWAT represents the local water balance through four storage volumes: snow, soil profile (0–2 m), shallow aquifer (2–20 m) and deep aquifer (>20 m). The soil water balance equation is the basis of hydrological modeling. The simulated processes include surface runoff, infiltration, evaporation, plant water uptake, lateral flow, and percolation to shallow and deep aquifers. Surface runoff is estimated by SCS curve number equation using daily precipitation data based on soil hydrologic group, land use/land cover characteristics and antecedent soil moisture. In this study, potential evapotranspiration (PET) was simulated using Hargreaves method (Hargreaves et al., 1985). Actual evapotranspiration (AET) was predicted based on the methodology developed by Ritchie [1972]. The daily value of the leaf area index (LAI) was used to partition the PET 18 into potential soil evaporation and potential plant transpiration. LAI and root development were simulated using the "crop growth" component of SWAT. This component represents the interrelation between vegetation and hydrologic balance. A more detailed description of the model is given by Neitsch et al. [2002]. 3.2 The calibration program SUFI-2 The program SUFI-2 [Abbaspour 2007; Abbaspour et al., 2007; Abbaspour et al., 2004] was used for a combined calibration and uncertainty analysis. In any (hydrological) modeling work there are uncertainties in input (e.g., rainfall), in conceptual model (e.g., by process simplification or by ignoring important processes), in model parameters (non-uniqueness) and in the measured data (e.g., discharge used for calibration). SUFI-2 maps the aggregated uncertainties to the parameters and aims to obtain the smallest parameter uncertainty (ranges). The parameter uncertainty leads to uncertainty in the output which is quantified by the 95% prediction uncertainty (95PPU) calculated at the 2.5% (L95PPU) and the 97.5% (U95PPU) levels of the cumulative distribution obtained through Latin hypercube sampling. Starting with large but physically meaningful parameter ranges that bracket ‘most’ of the measured data within the 95PPU, SUFI-2 decreases the parameter uncertainties iteratively. After each iteration, new and narrower parameter uncertainties are calculated [see Abbaspour 2007] where the more sensitive parameters find a larger uncertainty reduction than the less sensitive parameters. In deterministic simulations, output (i.e., river discharge) is a signal and can be compared to a measured signal using indices such as R2, root mean square error, or Nash-Sutcliffe, NS. In stochastic simulations where predicted output is given by a prediction uncertainty band instead of a signal, we devised two different indices to compare measurement to simulation: the P-factor and the R-factor 19 [Abbaspour 2007; Abbaspour et al., 2004]. These indices were used to gauge the strength of calibration and uncertainty measures. The P-factor is the percentage of measured data bracketed by the 95PPU. As all correct processes and model inputs are reflected in the observations, the degree to which they are bracketed in the 95PPU indicates the degree to which the model uncertainties are being accounted for. The maximum value for the Pfactor is 100%, and ideally we would like to bracket all measured data, except the outliers, in the 95PPU band. The R-factor is calculated as the ratio between the average thickness of the 95PPU band and the standard deviation of the measured data. It represents the width of the uncertainty interval and should be as small as possible. R-factor indicates the strength of the calibration and should be close to or smaller than a practical value of 1. As a larger P-factor can be found at the expense of a larger R-factor, often a tradeoff between the two must be sought. 3.3 The calibration setup and analysis Sensitivity, calibration, validation, and uncertainty analysis were performed for the hydrology using river discharge. As SWAT model involve a large number of parameters, a sensitivity analysis was essential to identify the key parameters across different hydrologic regions. For the sensitivity analysis, 22 parameters integrally related to stream flow [Liu et al., 2008; Levesque et al., 2008; Holvoet et al., 2005; White and Chaubey, 2005; Abbaspour et al., 2007a, Faramarzi et al., 2009] were initially selected (Table 2). We refer to these as the ‘global’ parameters. In a second step, these global parameters were further differentiated by main river basins in order to account for spatial variation in climate and management conditions (i.e., SCS curve number CN2 of agricultural areas was assigned differently in Beaver River Basin from that of Milk River Basin areas). This resulted in 102 scaled parameters. 20 As different calibration procedures produce different parameter sets (Abbaspour et al., 1999; Abbaspour et al., 2007a; Schuol et al., 2008b; Yang et al., 2008), we used two different approaches here for comparison of observed and simulated discharge data to provide more confidence in the results. These include: (i) the “global approach”, where all discharge gauges from all river basins were calibrated within a single calibration framework, (ii) the “regional approach”, where discharge gauges were separately calibrated for different water regions. Based on the deviation presented in Figure 1, we considered six major water regions for the regional calibration and did not consider the “River Sub Basins (RSB)” as a single water region. The six calibrated water regions were: - RB1 and RB2 (for RB 1 we did not have any discharge data) - RB 3 - RB 4 - RB 5 - RB 6, 7, 8, and 9 - RB 10 4. Input data SWAT can run on different ranges of data availability. Clearly, the more the input data the better will be the output results. Table 3 summarizes a list of essential and optional SWAT data requirement. The status of data availability is also indicated in Table 3. The preliminary results are based on the data indicated in the Table. Figures 6 to 10 show spatial distribution of the land use classes, soil types, climate stations, river discharge stations and CRU raster climate points used in this study. 21 Table 2. Sensitive input parameters in the calibration processes Parameter Name Definition SURLAG.bsn Surface runoff lag time (days) SMTMP.bsn Snow melt base temperature (ºC) SFTMP.bsn Snowfall temperature (ºC) SMFMN.bsn Minimum melt rate for snow during the year (mm/ºC-day) TIMP.bsn Snow pack temperature lag factor CN2.mgt SCS runoff curve number for moisture condition II ALPHA_BF.gw Base flow alpha factor (days) REVAPMN.gw Threshold depth of water in the shallow aquifer for ‘revap’ to occur (mm) GW_DELAY.gw Groundwater delay time (days) GW_REVAP.gw Groundwater revap. coefficient RCHRG_DP.gw Threshold depth of water in the shallow aquifer required for return flow to occur (mm) Deep aquifer percolation fraction ESCO.hru Soil evaporation compensation factor SOL_AWC.sol Soil available water storage capacity (mm H2O/mm soil) SOL_K.sol Soil conductivity (mm/hr) SOL_BD.sol Soil bulk density (g/cm3) SMFMX.bsn Maximum melt rate for snow during the year (mm/ºC-day) EPCO.hru Plant uptake compensation factor OV_N.hrul Manning’s n value for overland flow SOL_ALB.sol Moist soil albedo CH_N2.rte Manning’s n value for main channel CH_K2.rte Effective hydraulic conductivity in the main channel (mm/hr) GWQMN.gw 22 Table 3. Data requirement of SWAT Data name Required information DEM - we are using 90m x 90m resolution data from: ESRI Global Digital Elevation Model (SRTM) Landuse - we are using 250 m resolution data from: Natural Resources Canada - NRCan's EOSD data - Earth Observation for Sustainable Development. This is augmented for areas surrounding Alberta with 1000 m resolution data from global database Soil - we are using the data from Agriculture Canada or CANSIS - Canadian Soils Inventory System and some data from Agriculture Canada found under the Canadian Geography Networks Arc Voyager's ArcIMS site. The spatial resolution is 1:250000. For the Alberta surrounding area we used the FAO global soil map. We have created as associated database containing the following variables needed for SWAT simulations: - Two soil layers (0-30 cm, 30-100 cm) - Soil Hydrologic group (A, B, C, or D) - Maximum rooting depth (mm) - Textural class of first soil layer - Depth from soil surface to bottom of each layer (mm) - Moist bulk density (g/cm3) - Available water capacity (mm H2O/mm soil) - Saturated hydraulic conductivity (mm/hr) - Organic carbon content (% soil weight) - Clay content (% soil weight) - Silt content (% soil weight) - Sand content (% soil weight) - Rock fragment content (% total weight) - Moist soil albedo - Soil erodibility factor, K, in USLE equation Stream network map - missing We would like to have a river map with river names Climate data 1- we bought a CD from: http:\\climate.weatheroffice.ec.gc.ca\proods_servs\documentation_index_e.html The database in sparse in northern Alberta The data base includes: - Daily precipitation (mm) for the period of 1985 to 2007 23 - Dail Max temperature (degree C.) for the period of 1985 to 2007 - Dail Min temperature (degree C.) for the period of 1985 to 2007 - Location (lat, long, elevation) of the climate stations 2. we downloaded the raster data from http://www.cru.uea.ac.uk/cru/data These are gridded climate database (0.5 degree) CRU TS3.0 and include: - Daily precipitation (mm) for the period of 1985 to 2006 - Dail Max temperature (degree C.) for the period of 1985 to 2006 - Dail Min temperature (degree C.) for the period of 1985 to 2006 - Location (lat, long, elevation) of the climate stations Reservoir operation - missing information We would need information on the location of dams and reservoirs and their operations as follows: - Month the reservoir became operational (0-12) - Reservoir surface area when the reservoir is filled to the emergency spillway (ha) - Volume of water needed to fill the reservoir to the emergency spillway (104 m3) - Reservoir surface area when the reservoir is filled to the principal spillway (ha) - Volume of water needed to fill the reservoir to the principal spillway (104 m3) - Initial reservoir volume. - Initial sediment concentration in the reservoir (mg/L) - Equilibrium sediment concentration in the reservoir (mg/L) - Hydraulic conductivity of the reservoir bottom (mm/hr) - Daily reservoir outflow (m3/s). - missing Inlet - Lat and long for any inlet to the watershed is required - daily data for any inlet (optional) Agricultural data management - missing - Planting and harvest dates - Fertilization information (when, where, how much) - Tillage operation (method, date) - Irrigation (source, date, amount) - Grazing - Tile drains (exits or not, if yes, at what depth) - Pesticide application - Crop rotation 24 Water management - missing - Water transfer information, water use from shallow and deep aquifer, river, and ponds River discharge data - have daily river discharge (m3/s) data for 167 stations. However, some are given at hydrometric stations in terms of water height rather than discharge; some are controlled by dams and reservoirs, and some by glaciers. Need to know this information but we currently don’t have them. Source: http://www.wsc.ec.gc.ca/hydat/H2O/index_e.cfm Crop yield data - missing Need: - Annual yield for major crops in the region Water quality at - missing hydrometric stations (if This data would be needed for water quality studies. Needed data are some or all water quality is required) of the following depending on the objectives: - Sediment load transported by the river (daily, or monthly) (tn), or - River sediment concentration (mg/l) - Nitrate load transported by the river (kg N) - Phosphorus load transported by the river (Kg P) - Dissolved oxygen transported by the river (kg O2) - Algal biomass transported by river (kg) - Other chemicals such as: NH4, NO2, Mineral P, organic P, Organic N, CBOD are also considered by SWAT Point sources - missing - Input from water treatment plants (quantity and quality of water) - Lat-Lon location - Springs (quantity and quality, and also Lat-Long location) 25 Figure 6. Landuse map of Alberta (250 m resolution) and surrounding areas (1000 m resolution). Figure 7. Soil map of Alberta (1000 m resolution). 26 Figure 8. Distribution of observed temperature and precipitation stations. Figure 9. Distribution of the 167 outlets used in the initial run. 27 Figure 10. Distribution of the 101 outlets used in the initial run Figure 11. Distribution of the gridded climate points with 0.5 degree resolution from CRU providing daily precipitation and maximum and minimum daily temperature data for the entire Alberta. 28 5. Preliminary results To calibrate and validate the hydrologic model, we started with one first run to get an indication of the model performance and observed discharge stations to be used for calibration. The results show that many stations are: - small creeks - under the influence of reservoirs, dams and glaciers, - some stations are not properly placed on the correct river or stream (a river map with river names would be useful to identify these stations), and - some have only reported water heights and no discharge numbers After identifying and properly accounting for this, we calibrated in the next step using the discharge data of 101 stations (Figure 10) rather than 167 (Figure 9). Examples of discharge stations under the influence of dam, reservoir, Glacier, consumptive water use, water transfer, or wrong data (water height instead of discharge) are presented in Figures 12 to 14. Figure 15 shows a station located downstream of a dam, Figure 16 shows a station located in a small creek. To calibrate the former we need to know dam’s operation while the data from the small creek is not reliable. Performance of these stations cannot be improved by calibration unless we know the exact nature of the observed discharge. Figure 17 shows example of stations that can be improved by calibration. Because, the first run shows a rather good prediction in terms of BR2 and Pfactor but the R-factor (a measure of uncertainty) has to be decreased through parameter optimization in the next calibration iterations. 29 0 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1999 Jan, 1998 Jan, 1997 Jan, 1996 Jan, 1995 Jan, 1994 Jan, 1993 Jan, 1992 Jan, 1991 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 Jan, 1986 Jan, 1985 Jan, 2006 200 Jan, 2005 400 Jan, 2006 600 Jan, 2004 800 Jan, 2005 1000 Jan, 2003 RED DEER RIVER AT DRUMHELLER (Red Deer RSB) Jan, 2004 1400 Jan, 2003 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1999 Jan, 1998 Jan, 1997 Jan, 1996 Jan, 1995 Jan, 1994 Jan, 1993 Jan, 1992 Jan, 1991 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 -1 1200 Jan, 1986 Jan, 1985 3 Discharge (m sec ) Discharge (m3 sec -1) 1200 1000 OLDMAN RIVER NEAR LETHBRIDGE (Oldman RSB) 800 600 400 200 0 Figure 12. Example of stations that could not benefit from calibration and most likely is affected by a dam or reservoir or water extract from upstream. 30 Jan, 1999 Jan, 2000 Jan, 2001 Jan, 2002 Jan, 2003 Jan, 2004 Jan, 2005 Jan, 2006 Jan, 2007 Jan, 2000 Jan, 2002 Jan, 2003 Jan, 2006 Jan, 2007 Jan, 2005 Jan, 2004 Jan, 2001 a Jan, 1998 350 Jan, 1997 Jan, 1994 Jan, 1999 Jan, 1989 Jan, 1990 Jan, 1991 Jan, 1988 Jan, 1996 Jan, 1997 Jan, 1998 0 Jan, 1995 100 Jan, 1996 200 Jan, 1995 300 Jan, 1993 Jan, 1994 400 Jan, 1992 500 Jan, 1993 b Jan, 1992 Jan, 1991 600 Jan, 1990 800 Jan, 1989 900 Jan, 1988 250 Jan, 1987 Jan, 1985 Jan, 1986 Jan, 1987 -1 3 Discharge (m sec ) 300 Jan, 1986 Jan, 1985 -1 700 3 Discharge (m sec ) 400 95PPU SWAT prediction Best simulated Observed 200 150 100 50 0 Figure 13. Example of stations that are affected by glaciers at upstream. The glaciers have additional input to the rivers. We modified this in SWAT model. 31 100 0 Jan, 1999 Feb, 1999 Oct, 2007 Sep, 2006 Aug, 2005 Jul, 2004 Jun, 2003 May, 2002 Apr, 2001 Jan, 2007 Jan, 2006 Jan, 2005 Jan, 2004 Jan, 2003 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1998 Mar, 2000 Jan, 1997 Jan, 1998 Jan, 1996 Jan, 1995 Jan, 1994 Jan, 1993 Jan, 1992 Jan, 1991 Dec, 1996 Nov, 1995 Oct, 1994 Sep, 1993 Aug, 1992 Jul, 1991 Jan, 1990 3 -1 Discharge (m sec ) 500 Jun, 1990 Jan, 1989 200 May, 1989 300 Jan, 1988 400 Jan, 1987 500 Apr, 1988 600 Mar, 1987 700 Jan, 1986 Jan, 1985 0 Feb, 1986 Jan, 1985 Discharge (m3 sec-1) 700 600 95PPU SWAT prediction Best simulated Observed 400 300 200 100 Figure 14. Example of stations where we have water heights instead of discharges. We need to obtain discharges, or remove them from calibration process. 32 Figure 15. Example of stations located downstream of a dam. To calibrate this station we need to know the dam’s operation 33 Figure 16. Example of a discharge station located in a small creek. The data from these statioins are not reliable 34 Jan, 1985 Jan, 1986 Jan, 1987 Jan, 1988 Jan, 1989 Jan, 1990 Jan, 1991 Jan, 1992 Jan, 1993 Jan, 1994 Jan, 1995 Jan, 1996 Jan, 1997 Jan, 1998 Jan, 1999 Jan, 2000 Jan, 2001 Jan, 2002 Jan, 2003 Jan, 2004 Jan, 2005 Jan, 2006 3 -1 Discharge (m sec ) Jan, 1985 Jan, 1986 Jan, 1987 Jan, 1988 Jan, 1989 Jan, 1990 Jan, 1991 Jan, 1992 Jan, 1993 Jan, 1994 Jan, 1995 Jan, 1996 Jan, 1997 Jan, 1998 Jan, 1999 Jan, 2000 Jan, 2001 Jan, 2002 Jan, 2003 Jan, 2004 Jan, 2005 Jan, 2006 3 -1 Discharge (m sec ) 140 120 95PPU SWAT prediction Best simulated Observed 100 80 60 40 20 0 300 250 200 150 100 50 0 Figure 17. Example of a stations that could be improved with calibration. 35 6. Final results 6.1 Final results using the observed climate data as input to the SWAT model Using the observed climate data of 194 rain gauge and 189 temperature gauges as input in the SWAT model (Figure 8), the calibration results for 101 discharge stations produced a poor performance as presented in Table 3. In general, we started with a rather wide initial range of parameter values for each water region and tried to narrow this uncertainty in the next calibration iterations. All water regions performed poor in terms of goal function and R2. The initial P-factor was in general satisfactory but attempt to narrow uncertainty band while improving goal function, resulted in quite small percentage of observed data bracketed within uncertainty band (i.e. in average for the whole Alberta the P-factor was 0.17, at final stage of calibration procedure). To improve the calibration performance in some stations which were likely affected by glaciers, we considered additional water inflow using “inlet” option in the model. Figure 18 shows how the calibration performance was improved in a downstream station of a glacier in the model (namely “Athabasca River near Windfall” station, Figure 19). In this station, the calibration performance was improved from 0.45 to 0.63 for P-factor, from 1.47 to 1.43 for R-factor, from 0.17 to 0.80 for R2 and from 0.02 to 0.66 for goal function (bR2). Table 3. Calibration performance of different water regions while using observed climate data as input in the SWAT model. P‐factor R‐factor R2 Goal function River basin/subbasin initial Final initial Final initial Final initial Final Hay & Peac/Slave RB 0.46 0.16 4.40 1.70 0.09 0.08 0.07 0.08 Athabasca RB 0.61 0.27 4.46 2.56 0.04 0.06 0.02 0.03 Beaver RB 0.51 0.18 4.62 2.75 0.06 0.07 0.02 0.03 North Sasketchwan RSB 0.37 0.08 19.37 7.38 0.04 0.05 0.03 0.05 Red Deer, Bow, South Sas., 0.48 0.23 4.93 2.95 0.07 0.11 0.04 0.05 Oldman RSB Milk RB 0.20 0.11 79.04 56.73 0.11 0.14 0.09 0.12 36 1400 95PPU SWAT prediction Observed 3 -1 Discharge (m sec ) 1200 1000 800 600 400 200 Jan, 2006 Jan, 2005 Jan, 2004 Jan, 2003 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1999 Jan, 1998 Jan, 1997 Jan, 1996 Jan, 1995 Jan, 1994 Jan, 1993 Jan, 1992 Jan, 1991 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 Jan, 1986 Jan, 1985 0 Figure 18. Calibration performance of the “Athabasca River near Windfall” station that was improved compare to its performance with the initial model setup where the effect of glacier did not considered (Figure 13b). Athabasca River near Windfall Figure 19. Athabasca River near Windfall station, located at downstream side of a glacier. 37 Using the optimized parameter ranges we further intended to calculate the long-term average hydrological components at subbasin level to be able to compare the results with improved input data in the next phase. Figures 20 to 24 show different hydrological components of Alberta resulted from this phase of the analysis. Figure 20. Long term (1985-2007) average distribution of precipitation. 38 Figure 21. Long term (1985-2007) average distribution of maximum and minimum temperature. 39 Figure 22. Long term (1985-2007) average distribution of green water flow (actual and potential evapotranspiration). 40 Figure 23. Long term (1985-2007) average distribution of blue water (water yield plus deep aquifer recharge) and green water storage (soil moisture). 41 Figure 24. Long term (1985-2007) average distribution of deep aquifer recharge. 6.2 Final results using the CRU gridded climate data as input to the SWAT model In general, a poor calibration result from previous section enforced the idea that i) climate data may have large errors associated with it, or ii) lack of stations in the northern part of Alberta (Figure 8) has a large impact on the overall model performance, or iii) the distribution of the observed stations is such that they are not assigned to the correct subbasins in the SWAT model. To test some of these hypotheses, we obtained gridded climate data from Climate Research Unit, UK (CRU) to set up a new SWAT project for Alberta 42 taking the effect of glaciers in some subbasins as described in the previous section. The CRU provides 0.5 degree daily precipitation and temperature data. We performed calibration, validation, and uncertainty analysis using the discharge data of 101 stations (Figure 10). The calibration results were better in terms of P-factor, R-factor and goal function compared to the results using observed climate data. Table 4 shows calibration results aggregated at water region level. As shown in Table 4 the R-factor, R2 and goal function were improved from their initial values while having a more satisfactory P-factor compare to the condition where we used the observed climate data for Alberta. Figures 25 to 27 show the calibration (1991-2006) and validation (1985-1990) results for some discharge stations. A high uncertainty (large R-factor) and small p-factor in some stations relates to insufficient accounting of agricultural and industrial water use, water diversion or water transfer projects and the construction or operation of dams/reservoirs in the province during the period of study. The water management maps of Alberta Environment (Figures 2, 3, and 4) show some of the man’s activities influencing natural hydrology during the period of study. Regions with the highest activities have the worst calibration/validation results as well as the largest uncertainties. The construction of dams, reservoirs, roads, and tunnels can affect the local hydrology for many years. This is an important and often neglected source of uncertainty in large-scale hydrological modeling. As the extent of management in water resources development increases, hydrological modeling will become more and more difficult and will depend on the availability of detailed knowledge of the management operations. Using the optimized parameter ranges, Figures 28 to 32 are shown as example of the type of maps that can be produced based on long-term averages. These variables are available at monthly resolution and could also 43 be tabulated with upper and lower uncertainty bonds for every one of 928 subbasins in the region of study. Appendix I gives the long-term (1985-2006) average values of hydrological components for each of 928 subbasins. In Appendix II the location of the numbered subbasins is shown. In Appendix III we aggregated the subbasin data into the major subbasins suggested in Figure 1. Also shown is the graphical representation of these data. We could not find much measured data to compare with our results. But water yield (net amount of water contributed to the river by the subbasin) estimated by SWAT was compared to the values give by Environment Alberta: (http://www.environment.alberta.ca/apps/basins/default.aspx?Basin=12) although we are not sure if both values are referring to the same things. The water yield Figure shows large uncertainties in the water yield of water rich subbasins. The reported uncertainty contains natural year to year variation due to climate as well as water use and water abstraction. The later information was not available to us. Hence, our reported values could be taken as naturalized values. 44 Table 4. Calibration performance of different water regions while using CRU gridded climate data as input in the SWAT model. P_factor R‐factor R 2 Goal function River basin/subbasin initial Final initial Final initial Final initial Final Hay & Peac/Slave RB 0.45 0.47 3.36 2.87 0.27 0.28 0.21 0.21 Athabasca RB 0.67 0.39 3.94 3.01 0.30 0.33 0.23 0.24 Beaver RB 0.56 0.31 4.27 3.29 0.18 0.23 0.13 0.21 North Sasketchwan RSB 0.56 0.35 38.61 1.95 0.29 0.37 0.23 0.29 Red Deer, Bow, South 0.48 0.30 6.58 4.47 0.37 0.39 0.26 0.27 Sas., Oldman RSB Milk RB 0.28 0.55 108.78 3.89 0.22 0.34 0.17 0.33 45 (Calibration) 350 -1 3 Discharge (m sec ) 250 200 P-factor= 0.6, R-factor= 1.4, R2= 0.44 95PPU SWAT prediction Observed 300 150 100 50 -1 3 Oct, 2006 Jan, 2006 Apr, 2005 Jul, 2004 Oct, 2003 Jan, 2003 Apr, 2002 Jul, 2001 Oct, 2000 Jan, 2000 Apr, 1999 Jul, 1998 Oct, 1997 Jan, 1997 Apr, 1996 Jul, 1995 Oct, 1994 Jan, 1994 Apr, 1993 Jul, 1992 (Validation) 250 Discharge (m sec ) Oct, 1991 Jan, 1991 0 P-factor= 0.51 R-factor= 1.42 R2= 0.38 200 150 100 50 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 Jan, 1986 Jan, 1985 0 Figure 25. Comparison of the observed (blue line) and simulated (expressed as 95% prediction uncertainty band) discharges for “Nordegg River at Sunchild Road” station located in North Sasketchwan River Subbasin (subbasin number 645). 46 (Calibration) 450 350 3 -1 Discharge (m sec ) P-factor= 0.68 R-factor= 0.57 R2= 0.61 95PPU SWAT prediction Observed 400 300 250 200 150 100 50 -1 Jan, 2006 Jan, 2005 Jan, 2004 Jan, 2003 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1999 Jan, 1998 Jan, 1997 Jan, 1996 Jan, 1995 Jan, 1994 P-factor= 0.60 R-factor= 0.61 R2= 0.59 400 3 Jan, 1993 (Validation) 450 Discharge (m sec ) Jan, 1992 Jan, 1991 0 350 300 250 200 150 100 50 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 Jan, 1986 Jan, 1985 0 Figure 26. Comparison of the observed (blue line) and simulated (expressed as 95% prediction uncertainty band) discharges for “Smoky River Over Hells Creek” station located in Peace/Slave River Basin (subbasin number 496). 47 (Calibration) 3 -1 Discharge (m sec ) 120 P-factor= 0.86 R-factor= 2.27 R2= 0.57 95PPU SWAT prediction Observed 100 80 60 40 20 -1 3 Discharge (m sec ) 40 Jan, 2006 Jan, 2005 Jan, 2004 Jan, 2003 Jan, 2002 Jan, 2001 Jan, 2000 Jan, 1999 Jan, 1998 Jan, 1997 Jan, 1996 Jan, 1995 Jan, 1994 Jan, 1993 (Validation) 60 50 Jan, 1992 Jan, 1991 0 P-factor= 0.82 R-factor= 2.38 R2= 0.41 30 20 10 Jan, 1990 Jan, 1989 Jan, 1988 Jan, 1987 Jan, 1986 Jan, 1985 0 Figure 27. Comparison of the observed (blue line) and simulated (expressed as 95% prediction uncertainty band) discharges for “Elbow River at Bragg Creek” station located in Bow River Subbasin (subbasin number 780). 48 Figure 28. Long term (1985-2006) average distribution of precipitation using CRU gridded climate data. 49 Figure 29. Long term (1985-2006) average distribution of maximum and minimum temperature using CRU gridded climate data. 50 Figure 30. Long term (1985-2006) average distribution of green water flow (actual and potential evapotranspiration) using CRU gridded climate data. 51 Figure 31. Long term (1985-2006) average distribution of blue water (water yield plus deep aquifer recharge) and green water storage (soil moisture) using CRU gridded climate data. 52 Figure 32. Long term (1985-2006) average distribution of deep aquifer recharge using CRU gridded climate data. 53 7. Data gap What we have produced pertains to more or less natural conditions. More data regarding irrigation, cropping structure, water transfer, and dams and reservoirs are needed to produce a more real picture. In the following we identify some data gaps. 1. A precise water use data is needed to draw a more reliable picture of blue water resources availability with smaller uncertainty band. An application of blue water information could be to draw a water scarcity map of Alberta presenting per capita water availability per year. Drawing water scarcity map based only on naturalized blue water resources availability or blue water availability with a high uncertainty band might not present the real scarcity situation in the regions. 2. Calibration of a large-scale distributed hydrologic model against river discharge alone does not provide sufficient confidence for all components of the water balance. We suggest a multi-criteria calibration (Abbaspour et al. 2007) for a better characterization of different components and as a way of dealing with the non-uniqueness problem (narrowing of the prediction uncertainty). For example because of the direct relationship between crop yield and evapotranspiration, we can included yield as an additional target variable in the calibration process in order to improve the simulation of ET, soil moisture, and deep aquifer recharge. We assume that if yield is correct, then actual evapotranspiration and also soil moisture are simulated correctly. This in turn indicates that deep aquifer recharge is correct; hence, increasing our confidence on the calculated blue water, that is the sum of river discharge and deep aquifer recharge. 54 3. Water transfer between/in different river systems is another source of uncertainty in hydrological model results, as it can change the hydrologic regime from its natural condition. We need this data to use as another input in the model to improve the calibration results. 4. Agricultural management data is required for the reasons explained previously to model major crop yields. 5. Future climate change data are useful to use as input in our calibrated hydrological model to assess the impact of climate change on hydrological components and water resources availability as well as crop yield. 8. Suggestion for project continuation The next phase of this project could combine the water availability (this project) and water use (the project by Liu et al.) to build a more integrated model of Alberta. Furthermore, a more refined input database could improve model calibration. Such a model could be used for analysis of various water balance component as well as water supply-water demand analysis similar to the study by Faramarzi et al. [2010a, b]. Using the improved calibrated model, climate change scenarios could be run for foreseen future management changes and their impacts on water resources quantified. With the use of a population map, hot spots of water scarcity could be identified. 55 9. References Abbaspour, K. C. (2007), User Manual for SWAT-CUP, SWAT Calibration and Uncertainty Analysis Programs. Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland. http://www.eawag.ch/forschung/siam/software/swat/index Abbaspour, K.C, Faramarzi, M., Seyed Ghasemi, S., Yang, H. (2009), Assessing impact of climate change on water resources of Iran, Water Resources Research 45, W10434. http://www.eawag.ch/organisation/abteilungen/siam/software/swat/index_EN Abbaspour, K. C., Yang,J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., Srinivasan, R. (2007), Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, Journal of Hydrology 333, 413-430. Abbaspour, K.C., Johnson, A., van Genuchten, M.Th., (2004). Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal, 3, 1340-1352. Arnold, J. G., Srinivasan, R., Muttiah, R. S., Williams, J. R. (1998), Large area hydrologic modeling and assessment - Part 1: Model development, Journal of American Water Resources Association 34(1), 73-89. Arnold, J. G., Srinivasan, R., Muttiah, R. S., Allen, P. M. (1999), Continental scale simulation of the hydrologic balance, American Water Resources Association 35(5), 1037-1051. Di Luzio, M., Srinivasan R., Arnold J.G. (2002), Integration of watershed tools and SWAT model into basins, Journal of American Water Resources Association 38(4), 1127-1141. Faramarzi, M., Abbaspour, K.C., Schulin, R., Yang, H. (2009), Modeling blue and green water availability in Iran, Hydrological Processes 23(3), 486-501. Faramarzi, M., Abbaspour, K.C., Schulin, R., Yang, H. (2010a), Modeling wheat yield and crop water productivity in Iran: implications of agricultural water management for wheat production, Agricultural Water Management 97, 1861-1875 Faramarzi, M., Yang, H., Mousavi, J., Schulin, R., Binder, R.C., Abbaspour, K.C. (2010b), Analysis of intra-country virtual water trade to alleviate water scarcity in Iran, HESS: Hydrology and Earth System Sciences 14, 1417-1433 56 Gosain, A.K., Rao, S., Basuray, D. (2006), Climate change impact assessment on hydrology of Indian river basins. Curr. Sci. 90(3), 346353. Hargreaves GL, Hargreaves GH, Riley JP. (1985), Agricultural benefits for Senegal River Basin, Journal of Irrigation and Drainage EngineeringASCE 111, 113-124. Neitsch, S.L., Arnold, J.G., Kiniry, J.R., Williams, J.R., King, K.W. (2002), Soil and water assessment tool, Theoretical documentation: Version 2000. TWRI TR-191. College Station, Texas: Texas Water Resources Institute. Olivera, F., Valenzuela, M., Srinivasan, R., Choi, J., Cho, H.D., Koka, S., Agrawal, A. (2006) ArcGIS-SWAT: A geodata model and GIS interface for SWAT, Journal of the American Water Resources Association 42, 295-309. Ritchie, J.T. (1972), A model for predicting evaporation from a row crop with incomplete cover, Water Resources Research 8: 1204-1213. Schuol, J., Abbaspour, K.C., Sarinivasan, R., Yang, H. (2008a), Estimation of freshwater availability in the West African Sub-continent using the SWAT hydrologic model, Journal of Hydroloy, 352(1-2), 30-49. Schuol, J., Abbaspour, K.C., Sarinivasan, R., Yang, H. (2008b), Modelling Blue and Green Water Availability in Africa at monthly intervals and subbasin level, Water Resources Research 44, W07406. Srinivasan, R., Ramanarayanan, T. S., Arnold, J. G., Bednarz, S. T. (1998), Large area hydrologic modeling and assessment - Part II: Model application, Journal of American Water Resources Association, 34(1), 91-101. Yang, J., Reichert, P., Abbaspour, K. C., Yang, H. (2007), Hydrological Modelling of the Chaohe Basin in China: Statistical Model Formulation and Bayesian Inference, Journal of Hydrology 340, 167-182. Forbes, D.L., J. Shaw and R.B. Taylor. 1997. “Climate Change Impacts in the Coastal Zone of Atlantic Canada”. In: Abraham, J. T. Canavan and R. Shaw. Climate Change and Climate Variability in Atlantic Canada. Volume VI of the Canada Country Study: Climate Impacts and Adaptation. Environment Canada, Atlantic Region. Page 130. Whitfield, P.H., Cannon, A.J. (2000), Recent Variations in Climate and Hydrology in Canada, Canadian Water Resources Journal 25(1). 57 Nyirfa, W. Harron., B., (2001), Assessment of Climate Change on the Agricultural Resources of the Canadian Prairies, PFRA, Agricultural and Agri-Food Canada. http://www.parc.ca/research_pub_agriculture.htm Intergovernmental Panel on Climate Change (IPCC) (2007), Climate Change 2007: Impacts, Adaptation, and Vulnerability—Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by M. L. Parry et al., Cambridge Univ. Press, Cambridge, U. K. Alberta Government, Environment: http://www3.gov.ab.ca/env/water/reports/water_overview.html Mwale D., Yew, Gan T., Devito, K., Mendoza, C., Silins, U., Petrone, R. (2009), Precipitation variability and its relationship to hydrologic variability in Alberta, Hydrological Processes 23, 3040-3056. Liu, Y., Yang, W., Wang, X. (2008), Development of a SWAT extension module to simulate riparian wetland hydrologic processes at a watershed scale, Hydrological Processes 22, 2901-2915. Levesque, E., Anctil, F., Van Grinsven, A. (2008), Evaluation of streamflow simulation by SWAT model for two small watersheds under snowmelt and rainfall, Hydrological Sciences Journal 53, 961-976. 58 Appendix I Long-term average (1985-2007) hydrological components at subbasin level obtained with M95ppu. The M95PPU is calculated at the 50% level of the cumulative distribution obtained through Latin hypercube sampling. Subbasin 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 RB NAME Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB N_Hay RB N_Hay RB N_Hay RB Hay RB Hay RB N_Hay RB Hay RB N_Hay RB Hay RB Hay RB N_Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB N_Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Hay RB Peace RB PCP 377.54 369.34 367.95 384.69 333.11 333.11 339.34 358.7 366.14 358.7 339.34 333.11 358.7 354.77 362.3 412.06 365.57 366.14 371.49 402.93 402.93 390.94 358.71 354.77 354.77 391.15 391.15 399.15 358.71 402.93 371.49 384.69 392.86 365.57 412.06 402.93 399.15 372.89 404.89 412.06 412.06 393.16 364.96 TMAX 4.1 4.16 4.05 5.08 4.44 4.44 4.5 3.49 2.75 3.49 4.5 4.44 3.49 5.14 3.01 6.31 5.23 2.75 3.62 6.5 6.5 5.05 4.45 5.14 5.14 5.24 5.24 6.12 4.45 6.5 3.62 5.08 2.2 5.23 6.31 6.5 6.12 5.1 6.38 6.31 6.31 5.87 3.71 TMIN ‐7.84 ‐7.96 ‐8.28 ‐7.47 ‐8.23 ‐8.23 ‐7.79 ‐7.79 ‐8.21 ‐7.79 ‐7.79 ‐8.23 ‐7.79 ‐7.58 ‐7.8 ‐6.13 ‐7.6 ‐8.21 ‐8.04 ‐5.86 ‐5.86 ‐7.06 ‐7.82 ‐7.58 ‐7.58 ‐7.11 ‐7.11 ‐6.67 ‐7.82 ‐5.86 ‐8.04 ‐7.47 ‐8.8 ‐7.6 ‐6.13 ‐5.86 ‐6.67 ‐7.62 ‐6.15 ‐6.13 ‐6.13 ‐7.04 ‐7.32 BLUE 334.16 326.02 324.44 340.27 290.37 290.16 295.67 316.65 325.05 316.39 295.1 288.75 316.37 310.38 324.39 365.04 319.99 321.04 327.18 355.5 356.01 345.1 314.16 309.86 309.44 344.79 345.15 359.83 314.25 356.31 327.49 338.65 336.77 320.27 364.94 355.34 353.13 327.38 365.15 364.81 365.05 354.21 322.31 DA 184.91 151.94 148.21 157.89 123.09 123 108.34 10.38 11.84 10.21 109.68 110.21 115.28 136.57 10.99 177.49 140.77 1.7 127.05 172.27 81.13 166.18 123.36 139.2 126.92 138.46 164.23 104.05 122.74 95.24 143.5 132.12 2.41 125.06 178.23 204.9 143.32 128.12 147.94 178.57 175.78 96.86 104.62 ET 45.4 45.29 44.95 46.07 44.84 45.04 45.1 42.72 42.06 42.63 45.16 44.99 43.13 45.18 37.77 47.35 45.76 43.11 44.91 47.36 47.02 45.93 45.04 45.38 45.75 46.1 45.85 39.26 45.09 46.68 44.66 45.95 41.99 45.44 47.27 47.73 46.29 45.66 39.34 47.58 47.29 38.76 43.68 PET 47.76 49.01 48.27 49.36 48.02 48.01 48.12 45.67 44.61 45.32 47.63 47.95 46.12 48.1 45.41 49.69 49.01 46.08 47.25 50.27 50.18 48.56 48.27 48.29 48.67 49 49.04 49.5 48.02 49.81 47.49 48.82 45.01 48.13 50.26 50.92 50.11 48.85 49.68 50.71 50.48 49.49 46.54 SW 2493.64 2409.11 2427.85 2382.78 2438.35 2438.1 2402.7 2275.6 2374.67 2272.51 2402.58 2411.43 2429.68 2399.29 2303.77 2353.65 2410.04 7801.62 2433 2338.61 1573.03 2386.28 2407.72 2398.84 2377.47 2356.22 2376.9 337.26 2407.64 1574.85 2456.08 2370.03 8189.46 1138.84 2353.69 2388.69 2338.61 2358.78 271.04 2353.41 2353.6 409.33 3447.99 59 44 45 46 Hay RB N_Hay RB Hay RB 392.9 358.35 404.89 5.42 3.44 6.38 ‐7.52 ‐7.39 ‐6.15 347.43 317.13 365.32 141.59 10.71 123.69 45.48 42.38 39.22 48.09 45.73 49.07 1142.55 2300.37 251.38 PCP TMAX TMIN BLUE DA ET PET SW 399.15 393.16 353.84 412.06 388.85 399.15 412.65 361.89 412.65 393.16 364.96 360.54 412.06 394.08 368.1 360.54 364.96 415.38 412.06 367.93 368.38 368.91 412.06 389.84 392.52 366.44 368.41 368.41 366.44 367.93 375.85 379.25 388.85 383.16 383.16 367.93 406.59 375.85 367.93 411.2 368.91 382.73 376.69 382.73 383.16 6.12 5.87 3.41 6.31 5.23 6.12 6.08 3.76 6.08 5.87 3.71 3.43 6.31 2.59 4.14 3.43 3.71 6.29 6.31 4.08 2.77 4.33 6.31 4.01 2.33 4.37 4.36 4.36 4.37 4.08 3.64 5.07 5.23 6.2 6.2 4.08 6.07 3.64 4.08 6.08 4.33 4.01 6.24 4.01 6.2 ‐6.67 ‐7.04 ‐7.32 ‐6.13 ‐7.45 ‐6.67 ‐6.86 ‐7.33 ‐6.86 ‐7.04 ‐7.32 ‐7.23 ‐6.13 ‐8.29 ‐6.97 ‐7.23 ‐7.32 ‐6.36 ‐6.13 ‐6.83 ‐7.56 ‐6.88 ‐6.13 ‐7.05 ‐8.56 ‐6.83 ‐6.95 ‐6.95 ‐6.83 ‐6.83 ‐7.04 ‐7.12 ‐7.45 ‐6.1 ‐6.1 ‐6.83 ‐7.05 ‐7.04 ‐6.83 ‐6.99 ‐6.88 ‐7.19 ‐5.01 ‐7.19 ‐6.1 360.19 347.01 310.64 364.66 343.08 352.75 365.85 318.83 365.59 346.79 322.33 317.93 364.3 351.56 325.8 317.85 322 367.65 364.43 325.07 325.59 325.93 364.29 344.91 349.97 323.3 325.8 325.9 323.2 331.72 333.07 333.87 342.98 336.15 336.1 331.56 360.25 332.87 331.42 364 332.98 338.26 330.47 338.24 336.22 104.62 139.19 10.99 179.84 141.61 142.35 148.04 11.25 135.51 141.3 152.18 175.33 178.43 146.9 129.76 175.57 146.93 176.18 206.27 181.93 109.17 186.99 179.36 151.95 148.23 149.27 149.71 184.64 148.87 115.67 184.8 139.17 140.57 134.43 139.74 136.08 139.42 183.13 137.53 140.03 140.28 155.47 128.07 172.65 130.4 39.05 46.62 43.08 47.77 45.75 46.86 46.85 43.78 47 46.81 43.7 44.27 48.04 42.68 43.3 44.31 43.75 47.86 48.22 44.85 43.84 45.15 48.17 45.82 42.39 44.48 44.43 44.59 44.57 37.46 44.79 45.85 45.8 47.28 47.38 37.59 46.29 44.85 37.63 47.24 37.52 45.71 47.34 45.74 47.25 49.64 49.48 46.51 50.06 48.97 49.8 49.94 47 49.28 49.83 46.96 47.5 51.4 45.97 46.31 47.33 47.29 50.71 51.39 48.61 47.4 47.95 51.42 49.08 45.3 47.46 47.45 47.52 48 47.97 47.75 49.24 48.89 50.34 50.25 48.05 49.35 47.99 48.57 50.31 48.48 48.9 50.29 48.7 50.45 350.19 1111.6 2298.13 2353.37 2374.42 1104.85 1104.5 2818.53 2366.81 1111.43 1119.9 1204.23 2353.19 2542.64 2395.27 1204.6 2431.28 2361.12 2404.29 1168.75 1458.77 2484.56 2353.15 2414.15 2527.35 2411.63 2412.02 2479.85 2411.55 498.46 1205.41 1128.67 1139.26 2312.26 2308.86 542.48 2368.83 1205.21 542.47 2370.98 524.74 2428.23 2322.14 2434.65 2343.15 Table 5. Continued. Subbasin 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 RB NAME Hay RB Hay RB N_Hay RB Hay RB Hay RB Hay RB Hay RB N_Hay RB Hay RB Hay RB Peace RB Peace RB Hay RB Peace RB Peace RB Peace RB Peace RB Hay RB Hay RB Peace RB Athabasca RB Peace RB Hay RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Hay RB Peace RB Peace RB Peace RB Peace RB Peace RB 60 92 93 94 Peace RB Peace RB Peace RB 376.69 376.69 382.73 6.24 6.24 4.01 PCP 367.93 376.08 376.69 376.08 389.84 373.32 376.08 376.08 412.65 373 414.71 376.69 393.02 415.69 376.78 376.69 375.74 393.02 375.74 376.69 375.74 422.15 422.15 377.54 376.69 373.98 406.59 376.69 435.07 422.15 383.16 420.19 397.79 422.15 381.59 420.25 397.79 397.79 376.02 435.07 435.07 373.64 375.74 375.51 TMAX 4.08 4.79 6.24 4.79 4.01 5.14 4.79 4.79 6.08 4.27 6.12 6.24 3.62 5.59 4.65 6.24 6.21 3.62 6.21 6.24 6.21 5.97 5.97 6.16 6.24 6.26 6.07 6.24 5.94 5.97 6.2 5.31 6.85 5.97 4.45 6.32 6.85 6.85 4.55 5.94 5.94 6.17 6.21 5.08 ‐5.01 ‐5.01 ‐7.19 330.69 330.75 338.87 127.53 125.78 136.76 47.29 47.3 45.17 50.17 50.23 48.12 2322.16 2320.92 2392.13 ET 45.13 45.91 47.35 46.07 45.45 46.06 45.97 45.93 47.29 44.58 47.26 45.72 43.39 47.37 45.71 47.8 47.08 44.42 47.14 47.5 47.13 48.63 48.25 46.93 47.44 46.49 46.55 47.69 49.25 49.57 47.49 47.4 46.95 48.25 46.01 47.63 46.86 46.94 130.42 48.91 49.21 46.83 47.77 46.05 PET 48.19 49.34 50.25 49.08 48.82 49.44 48.99 48.82 50.25 47.78 50.56 50.63 46.35 50.25 48.98 51.17 50.02 47.35 50.28 50.41 50.07 51.57 51.32 49.98 50.36 50.86 49.48 50.69 52.28 52.65 50.58 50.62 49.97 51.2 49.66 50.18 49.89 49.96 188.84 51.15 52.29 49.99 50.38 49.29 SW 1168.12 2397.11 2322.13 2450.7 2486.86 1755.32 2379.41 1740.71 2371.52 2481.45 2364.28 2317.04 2427.67 2373.28 1137.65 2308.73 2321.2 2476.32 2321.17 2308.89 2321.16 2388.81 2350 2305.74 2308.91 2298.73 2368.55 2308.8 1381.54 1353.98 2308.73 2364.4 2308.17 2417.2 3641.77 2369.42 2308.17 2331.74 0.13 2374.12 1381.4 3017.71 2303.6 3087.57 Table 5. Continued. Subbasin 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 RB NAME Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB TMIN ‐6.83 ‐6.37 ‐5.01 ‐6.37 ‐7.05 ‐6.29 ‐6.37 ‐6.37 ‐6.86 ‐7.05 ‐6.89 ‐5.01 ‐7.45 ‐7.11 ‐6.49 ‐5.01 ‐5.07 ‐7.45 ‐5.07 ‐5.01 ‐5.07 ‐6.38 ‐6.38 ‐5.15 ‐5.01 ‐5.26 ‐7.05 ‐5.01 ‐6.05 ‐6.38 ‐6.1 ‐7.05 ‐6.3 ‐6.38 ‐6.45 ‐6.96 ‐6.3 ‐6.3 ‐6.43 ‐6.05 ‐6.05 ‐5.22 ‐5.07 ‐6.58 BLUE 324.92 330.69 330.6 331.09 345.66 328.66 330.5 330.48 365.5 329.95 367.75 332.23 350.06 368.74 332.4 330.14 329.9 349.29 329.81 330.46 329.9 373.9 374.49 331.39 330.56 328.15 360.02 330.31 386.28 373.18 336.18 372.46 351.25 374.23 337.66 372.68 351.33 351.16 3.15 386.8 386.41 328.15 329.36 329.77 DA 180.8 151.63 129.15 188.08 187.41 161.74 135.84 138.18 172.5 191.6 174.17 124.71 130.27 171.45 184.8 140.67 130.78 175.16 129.86 140.51 129.59 151.85 139.27 145.66 139.3 127.67 143 140.69 155.98 138.98 147.64 138.64 144.7 207.75 88.19 148.31 143.57 134.7 1.65 136.12 155.42 93.48 169.85 94.33 61 139 140 141 Athabasca RB Athabasca RB Athabasca RB 376.78 379.76 379.76 4.65 5.98 5.98 ‐6.49 ‐5.51 ‐5.51 352.87 333.53 333.51 119.34 79.79 80.4 7.77 46.74 46.74 48.48 49.69 49.4 53.92 3004.81 3004.81 PCP 375.95 397.79 376.02 422.15 414.71 387.21 385.79 376.02 387.21 396.53 379.76 421.4 373.64 375.74 395.6 385.79 381.59 394.67 422.15 422.15 435.07 391.5 391.5 435.07 394.67 422.15 435.07 435.07 391.5 435.07 396.53 435.07 435.07 392.16 414.81 414.81 393.1 426.92 401.78 394.02 395.6 441.91 435.07 408.17 TMAX 5.02 6.85 4.55 5.97 6.12 5.64 6.68 4.55 5.64 5.22 5.98 5.75 6.17 6.21 6.07 6.68 4.45 6.26 5.97 5.97 5.94 5.1 5.1 5.94 6.26 5.97 5.94 5.94 5.1 5.94 5.22 5.94 5.94 5.38 5.96 5.96 6.32 5.84 4.76 7.04 6.07 7.48 5.94 5.25 TMIN ‐6.47 ‐6.3 ‐6.43 ‐6.38 ‐6.89 ‐5.96 ‐5.79 ‐6.43 ‐5.96 ‐6.5 ‐5.51 ‐6.93 ‐5.22 ‐5.07 ‐5.4 ‐5.79 ‐6.45 ‐5.14 ‐6.38 ‐6.38 ‐6.05 ‐6.29 ‐6.29 ‐6.05 ‐5.14 ‐6.38 ‐6.05 ‐6.05 ‐6.29 ‐6.05 ‐6.5 ‐6.05 ‐6.05 ‐6.25 ‐6.91 ‐6.91 ‐5.12 ‐6.73 ‐6.43 ‐5.57 ‐5.4 ‐4.56 ‐6.05 ‐6.16 BLUE 2.97 350.79 2.92 374.64 366.66 339.94 337.81 2.62 340.9 350.69 333.43 372.97 327.01 328.74 348.79 338.02 336.9 347.56 373.63 373.72 385.81 2.6 357.78 386.6 347.8 373.83 386.67 386.56 345.97 385.9 349.25 387.1 387.34 357.17 368.82 368.84 345.24 378.43 355.54 346.93 349.31 392.15 387.22 361.48 DA 1.47 134.15 1.41 175.63 171.21 83.05 132.74 1.27 82.95 97.12 94.28 172.29 81.8 144.56 105.07 139.84 94.68 172.72 139.17 140.17 162.73 1.23 106.35 150.16 175.77 175.21 150.06 150.32 95.97 148.27 86.56 139.12 135.24 105.95 149.31 148.87 178.26 147.84 87.4 135.94 134.54 145.18 141.16 161.94 ET 131.5 47 130.66 48.03 47.88 47.04 48.43 130.72 46.63 45.46 46.69 47.93 47.07 47.66 47.15 48.21 46.17 47.54 48.42 48.4 49.23 131.88 35.06 48.55 47.3 48.59 48.58 48.71 46.88 49.46 46.85 48.54 48.36 34.81 46.06 46.03 48.48 48.47 46.64 48.11 47.54 49.76 48.53 47.64 PET 190.01 49.38 189.22 50.57 51.13 50.38 51.03 189.32 48.98 48.24 49.44 50.59 50.5 50.3 50.38 50.88 49.19 50.11 51.5 51.51 52.42 191.12 49.02 51.34 50.58 51.65 51.82 51.8 49.98 52.1 49.95 51.1 51.39 49.81 48.86 49.09 51.68 51.65 49.73 50.66 50.58 52.55 51.63 50.69 SW 5.41 2331.67 0.13 2359.05 2363.86 3017.97 2314.12 0.13 2210 3086.99 3026.46 2377.5 2991.88 2308.73 3026.54 2299.45 3738.59 2309.6 2370.83 2349.87 1382.77 5.78 415.85 2390.34 2309.26 2360.07 2390.16 2368.41 3702.9 1379.57 2518.88 2374.51 2396.58 385.1 2378.56 2378.59 2318.37 2383.56 2653.76 2355.05 3057.51 2344.51 2374.29 2361.59 Table 5. Continued. Subbasin 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 RB NAME Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Peace RB 62 186 187 188 Peace RB Peace RB Peace RB 397.79 397.41 426.92 6.85 5.56 5.84 ‐6.3 ‐6.17 ‐6.73 PCP 441.91 394.67 408.17 394.67 435.07 435.07 394.96 408.12 395.73 401.78 435.07 441.91 401.78 465.47 414.81 408.12 392.16 441.91 441.91 441.91 441.91 441.91 408.14 424.41 404.44 441.91 441.91 401.78 417.78 441.91 441.91 394.96 404.44 391.35 411.48 441.91 435.07 426.92 441.91 410.21 392.16 402.78 465.47 441.91 TMAX 7.48 6.26 5.25 6.26 5.94 5.94 7.3 6.56 5.22 4.76 5.94 7.48 4.76 7.61 5.96 6.56 5.38 7.48 7.48 7.48 7.48 7.48 6.38 4.81 7.1 7.48 7.48 4.76 6.62 7.48 7.48 7.3 7.1 7.68 5.54 7.48 5.94 5.84 7.48 6.97 5.38 6.92 7.61 7.48 TMIN ‐4.56 ‐5.14 ‐6.16 ‐5.14 ‐6.05 ‐6.05 ‐5.91 ‐6.51 ‐6.62 ‐6.43 ‐6.05 ‐4.56 ‐6.43 ‐4.21 ‐6.91 ‐6.51 ‐6.25 ‐4.56 ‐4.56 ‐4.56 ‐4.56 ‐4.56 ‐5.61 ‐6.8 ‐5.44 ‐4.56 ‐4.56 ‐6.43 ‐5.61 ‐4.56 ‐4.56 ‐5.91 ‐5.44 ‐5.09 ‐5.98 ‐4.56 ‐6.05 ‐6.73 ‐4.56 ‐5.41 ‐6.25 ‐4.71 ‐4.21 ‐4.56 350.84 350.23 378.37 134.79 139.06 149.49 47.45 47.84 48.68 50.55 50.81 51.66 2370.08 2338.79 2383.37 PET 54.27 50.63 50.63 50.88 51.65 51.73 50.86 50.62 49.75 49.79 50.78 52.83 50.2 52.8 49.33 50.58 50.23 52.72 53.08 53.08 53.19 53.15 51.7 49.38 51.62 53.04 52.92 50.32 50.95 53.79 52.89 51.13 52.42 51.93 50.92 52.88 51.87 51.25 52.72 51.4 50.62 50.87 52.6 53.26 SW 2329.66 2309.12 2346.53 2343.59 2368.95 2368.44 2307.21 2354.49 396.37 2646.27 2374.5 2315.37 2647.26 1361.99 2378.44 2381.16 3693.37 1333.15 1333.21 2315.32 1333.19 2344.39 2318.97 3149.2 2358.46 2344.49 2315.35 2645.7 2338.21 2314.97 2315.3 2366.44 2364.49 2301.73 2357.24 2315.32 2353.52 2404.36 2364.04 2366.47 3694.03 2316.9 2356.18 2344.36 Table 5. Continued. Subbasin 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 RB NAME Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB BLUE 390.96 348.01 361.64 348.17 387.38 387.33 349.25 361.57 361.3 355.25 387.67 392.12 355.17 415.82 368.95 363.47 345.66 391.81 392.17 392.09 392.03 392.16 360.29 378.81 358.69 392.01 392.11 355.24 369.96 391.38 392.07 347.43 355.91 343.07 363.76 392.24 387.17 378.99 392.4 363.44 345.84 355.14 416.57 392.07 DA 78.59 177.07 139.24 187.65 183.64 151.76 133.72 149.15 82.73 85.4 139.45 157.61 86.68 160.29 152.41 128.63 98.7 157.76 159.62 153.63 160.14 143.4 149.18 137.1 128.41 144.7 156.64 89.84 155.82 133.55 150.89 134.22 134.99 140.79 161.63 152.18 138.55 136.06 142.64 214.98 99.99 157.91 161.45 143.32 ET 51.29 47.79 47.36 47.84 48.31 48.5 46.28 47.56 34.87 47.09 48.26 49.82 46.99 50.19 46.16 45.7 47.19 50.13 49.83 49.88 50.05 49.95 48.61 46.26 46.63 50.03 49.84 47.09 48.35 50.74 49.91 48.05 49.41 48.91 47.91 49.86 48.81 48.24 49.75 48.26 46.98 48.29 49.54 50.07 63 233 234 235 Peace RB Peace RB Athabasca RB 441.91 425.21 413.83 7.48 5.92 5.86 ‐4.56 ‐5.55 ‐6.15 392.02 377.19 366.15 148.31 167.5 100.28 49.88 48.39 48.83 52.98 51.52 51.92 2314.04 2337.07 3707.56 PCP 391.35 429.25 410.37 410.37 441.91 441.91 416.74 441.91 441.91 441.91 441.91 391.35 413.83 416.74 420.17 417.78 429.25 429.72 391.35 404.44 465.47 465.47 465.47 409.18 414.29 410.21 424.7 421.07 441.91 445.53 429.25 445.95 438 422.46 422.46 422.46 495.41 495.41 440.06 437.53 441.91 398.23 465.47 422.46 TMAX 7.68 4.9 6.75 6.75 7.48 7.48 5.5 7.48 7.48 7.48 7.48 7.68 5.86 5.5 7.32 6.62 4.9 6.74 7.68 7.1 7.61 7.61 7.61 7.39 5.61 6.97 6.58 7.44 5.82 7.14 4.9 7.42 6.22 6.67 6.67 6.67 8.43 8.43 6.44 5.32 5.82 7.78 7.61 6.67 TMIN ‐5.09 ‐6.56 ‐4.76 ‐4.76 ‐4.56 ‐4.56 ‐6.25 ‐4.56 ‐4.56 ‐4.56 ‐4.56 ‐5.09 ‐6.15 ‐6.25 ‐4.47 ‐5.61 ‐6.56 ‐5.15 ‐5.09 ‐5.44 ‐4.21 ‐4.21 ‐4.21 ‐4.1 ‐6.55 ‐5.41 ‐5.51 ‐4.95 ‐6.38 ‐4.93 ‐6.56 ‐3.96 ‐6.04 ‐5.93 ‐5.93 ‐5.93 ‐3.73 ‐3.73 ‐5.06 ‐6.18 ‐6.38 ‐4.29 ‐4.21 ‐5.93 BLUE 343.03 383.19 362.29 362.43 392.24 392.23 368.28 392.66 392.12 392.41 392.17 342.78 366.13 368.73 371.03 369.23 383.07 381.89 342.63 355.82 416.24 415.39 416.84 359.99 365.75 363.12 376.17 371.3 392.85 397.37 382.99 396.71 389.35 372.83 373.27 373.17 445.58 444.75 390.33 390.21 394.39 349.12 416.25 373.3 DA 147.52 92.58 186.49 211.76 146.26 148.4 89.36 144.27 150.66 142.41 151.26 141.54 99.78 89.58 154.69 143.53 94.67 155.84 144.84 134.38 157.74 176.62 151.24 140.12 86.58 144.39 158.91 139.73 98.02 157.2 87.83 149 92.54 89.17 88.61 87.57 175.24 172.21 171.48 166.8 104.48 139.5 154.18 87.55 ET 49.14 47.03 48.52 48.47 49.81 49.88 48.82 49.47 49.91 49.66 49.88 49.22 48.88 48.33 49.46 48.89 47.11 48.5 49.45 49.45 49.87 50.69 49.42 49.95 48.41 48.46 49.1 50.04 48.4 48.63 47.2 49.53 49.27 49.66 49.52 49.62 49.93 50.85 49.97 47.92 48 49.79 49.92 49.53 PET 51.68 50.15 51.07 51.67 53.38 53 51.95 52.03 52.98 52.74 52.97 52.31 51.87 50.91 52.02 52.02 50.26 51.07 52.57 52.43 52.87 53.92 52.62 53.05 51.53 51 52.2 53.08 51.54 51.26 50.44 52.07 52.52 52.3 52.15 52.27 52.56 54.12 53.19 51.08 51.19 52.44 52.97 52.71 SW 2301.67 2728.87 2309.99 2339.36 2325.38 2314.05 2243.42 2309.56 2311.88 2364.01 2311.9 2301.62 3707.55 2243.63 2311.32 2326.62 2727.66 2320.67 2301.55 2364.49 2356.65 1362.81 2394.34 2348.92 2512.8 2321.71 2336.77 2354.09 2510.84 2329.02 2734.34 2361.63 2221.17 2484.47 2200.68 2200.66 2384.64 1382.14 2334.31 2385.33 3068.96 2353.84 2356.43 2200.66 Table 5. Continued. Subbasin 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 RB NAME Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB 64 280 281 282 Peace RB Athabasca RB Peace RB 398.23 422.46 465.47 7.78 6.67 7.61 ‐4.29 ‐5.93 ‐4.21 348.8 373.24 417 137.76 88.83 151.01 50.13 49.61 49.28 52.94 52.7 51.88 2354.27 2200.7 2389.67 PCP 420.17 429.25 420.17 429.72 420.17 438.89 398.23 465.47 438.89 420.88 398.23 448.24 448.24 438.89 445.95 433.33 495.41 455.08 435.58 465.47 495.41 422.46 449.91 430.3 449.91 438 448.97 449.91 409.18 398.23 465.47 442.83 444.68 450.96 426.37 434.11 495.41 449.91 438.89 495.41 495.41 433.33 452.88 454.41 TMAX 7.32 4.9 7.32 6.74 7.32 7.9 7.78 7.61 7.9 7.33 7.78 7.45 7.45 7.9 7.42 6.57 8.43 5.11 6.52 7.61 8.43 6.67 8.28 7.2 8.28 6.22 7.46 8.28 7.39 7.78 7.61 5.53 6.55 6.61 7.22 8.06 8.43 8.28 7.9 8.43 8.43 6.57 7.6 6.87 TMIN ‐4.47 ‐6.56 ‐4.47 ‐5.15 ‐4.47 ‐3.19 ‐4.29 ‐4.21 ‐3.19 ‐4.42 ‐4.29 ‐4.46 ‐4.46 ‐3.19 ‐3.96 ‐4.99 ‐3.73 ‐6.51 ‐5.26 ‐4.21 ‐3.73 ‐5.93 ‐2.99 ‐3.78 ‐2.99 ‐6.04 ‐4.65 ‐2.99 ‐4.1 ‐4.29 ‐4.21 ‐6.4 ‐5.49 ‐5.66 ‐4.84 ‐3.79 ‐3.73 ‐2.99 ‐3.19 ‐3.73 ‐3.73 ‐4.99 ‐4.33 ‐5.3 BLUE 371.01 382.58 370.7 381.39 370.85 391.12 349.03 416.43 389.43 374.21 349.09 398.07 398.47 390.45 396.71 383.15 445.18 408.12 385.43 416.2 444.58 373.21 402.98 383.26 401.07 389.27 398.88 402.92 362.29 350.56 416.19 394.45 394.64 401.02 377.99 387.19 445.03 402.85 388.44 444.02 445.13 383.06 403.57 404.16 DA 195.98 89.5 193.05 154.35 193.53 138.53 142.65 153.39 136.41 137.3 139.32 162.35 207.41 138.76 149.36 155.6 176.08 97.63 188.34 152.42 173.46 90.26 143.41 136.11 142.58 90.87 160.97 139.98 132.72 130.95 159.93 140.76 114.39 148.33 161.29 142.18 181.27 142.55 144.21 185.3 179.56 195.56 158.24 97.94 ET 49.62 47.47 49.86 48.76 49.88 48.52 50.07 49.84 50.23 47.7 49.88 50.13 49.95 49.14 49.63 50.09 50.34 48.42 50.02 50.13 51.18 49.77 48.18 47.72 50.08 49.44 50.38 48.18 47.77 48.61 50.25 48.82 49.94 50.12 49.11 47.86 50.58 48.3 51.3 51.74 50.35 50.44 49.65 50.22 PET 52.97 50.89 52.39 52.02 52.99 53.66 53.12 52.85 53.37 52.63 52.97 53.19 53.3 54.37 52.72 53.27 53.46 51.72 52.7 53.2 54.39 53.01 53.16 53.14 53.18 52.6 52.98 53.69 53.16 53.37 53.3 52.1 53.03 52.85 52.04 53.35 53.72 53.91 54.44 54.88 53.63 53.65 52.88 53.4 SW 2319.16 2726.4 2321.34 2320.58 2321.33 2301.79 2304.88 2394.41 2343.06 2344.84 2353.79 2318.76 2326.29 2339.88 2361.55 2318.56 2384.39 2771.81 2319.5 2394.19 1382.01 2200.61 2337.97 2346.96 2343.06 2221.06 2323.5 2337.9 2342.41 2346.73 2394.01 3121.08 3027.24 3066.1 2334.03 2310.33 2385.29 2337.93 2361.63 1382.73 2385.31 2321.42 2327.84 2205.84 Table 5. Continued. Subbasin 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 RB NAME Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB 65 327 328 329 Athabasca RB Peace RB Athabasca RB 452.8 495.41 454.41 6.33 8.43 6.87 ‐5.66 ‐3.73 ‐5.3 403.8 444.9 404.16 148.22 182.44 93.42 49.95 50.72 50.19 52.67 53.6 53.46 3070.98 2385.31 2205.74 PCP 454.85 434.11 455.08 455.08 454.41 454.41 453.56 427.42 444.48 449.91 455.08 444.48 488.21 440.06 455.08 455.08 448.36 554.28 454.41 452.8 452.8 449.91 455.08 427.42 470.82 448.36 427.42 452.97 477.34 554.28 444.48 479.2 448.24 448.36 554.28 470.82 448.36 455.08 450.96 452.88 483.61 451.86 554.28 487.17 TMAX 6.71 8.06 5.11 5.11 6.87 6.87 6.84 8.57 7.18 8.28 5.11 7.18 5.93 6.44 5.11 5.11 5.98 8.48 6.87 6.33 6.33 8.28 5.11 8.57 7.58 5.98 8.57 7.16 8.6 8.48 7.18 7.77 7.45 5.98 8.48 7.58 5.98 5.11 6.61 7.6 7.36 7.02 8.48 7.72 TMIN ‐5.6 ‐3.79 ‐6.51 ‐6.51 ‐5.3 ‐5.3 ‐5 ‐3.33 ‐4.37 ‐2.99 ‐6.51 ‐4.37 ‐6.16 ‐5.06 ‐6.51 ‐6.51 ‐5.75 ‐3.7 ‐5.3 ‐5.66 ‐5.66 ‐2.99 ‐6.51 ‐3.33 ‐4.59 ‐5.75 ‐3.33 ‐4.4 ‐3.68 ‐3.7 ‐4.37 ‐4.52 ‐4.46 ‐5.75 ‐3.7 ‐4.59 ‐5.75 ‐6.51 ‐5.66 ‐4.33 ‐4.39 ‐5.06 ‐3.7 ‐4.39 BLUE 404.61 387.26 407.94 407.8 403.99 404.37 403.48 376.87 393.81 399.89 407.8 393.78 438.12 389.99 407.64 407.79 399.67 503.45 403.66 402.86 403.51 399.95 407.66 376.48 420.67 400.19 376.85 402.2 425.83 501.74 393.72 429.13 398.53 400.24 503.8 428.17 400.26 407.67 401.18 405.74 432.72 401.19 502.28 435.73 DA 95.82 143.2 143.2 142.38 139.93 101.25 206.58 159.75 202.64 149.02 139.76 202.49 152.18 177.48 137.44 143.95 96.55 217.05 145 109.52 140.8 158.34 144.13 157.16 166.14 146.79 144.44 209.61 161.62 216.47 203.54 170.35 240.25 93.99 207.51 151.57 140.28 143.37 104.22 150.21 223.95 115.3 192.1 186.5 ET 50.11 47.9 48.17 48.27 50.38 50.07 50.63 50.98 51 51.13 48.33 50.93 50.37 50.55 48.36 48.36 49.7 50.81 50.55 49.93 50.12 50.97 48.36 51.41 50.2 49.26 51.08 51.29 52.12 52.49 51.05 50.63 50.31 49.38 50.48 42.49 49.39 48.64 50.03 47.8 51.24 51.12 52.3 51.6 PET 52.81 52.9 51.57 51.43 53.29 53.07 53.54 54.28 54.39 54.46 51.7 54.06 53.78 53.5 51.79 51.5 52.68 53.53 53.99 52.82 52.81 53.78 51.72 54.28 53.32 52.69 54.01 54.42 55.54 55.81 54.72 53.97 53.57 53.3 53.11 54.01 52.6 51.75 52.98 52.39 54.66 54.78 55.09 54.93 SW 2202.35 2343.61 879.87 879.81 3064.08 3029.65 2322.6 2303.53 2318.37 2360.49 879.49 2318.38 3104.33 2334.06 878.69 879.73 2219.79 1407.22 3064.04 3035.33 3070.88 2307.48 879.7 2303.36 2330.1 784.74 2342.49 2324.88 2360.04 1406.83 2318.35 2329.1 2364.03 2600.52 2410.08 160.97 3087.28 879.42 2204.48 2359.71 2329.6 3028.96 1405.38 2339.57 Table 5. Continued. Subbasin 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 RB NAME Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB 66 374 375 376 Athabasca RB Peace RB Peace RB 448.36 434.11 444.48 5.98 8.06 7.18 ‐5.75 ‐3.79 ‐4.37 399.9 387.44 393.61 104.66 140.2 205.32 49.75 48.13 51.25 53 53.16 54.6 2710.09 2343.5 2318.31 PCP 474.19 452.8 495.41 495.41 483.14 462.07 474.19 519.95 451.86 467.47 474.18 471.45 462.07 467.47 519.95 554.28 465.72 488.21 462.07 470.82 485.77 455.81 465.72 465.72 499.02 483.14 455.81 514.11 454.53 448.36 554.28 554.28 554.28 499.02 554.28 554.28 499.02 502.36 554.28 674.66 477.34 474.19 485.77 499.02 TMAX 8.76 6.33 8.43 8.43 7.18 8.27 8.76 8.66 7.02 6.91 6.54 7.15 8.27 6.91 8.66 8.48 8.83 5.93 8.27 7.58 8.27 8.22 8.83 8.83 8.11 7.18 8.22 8.83 6.64 5.98 8.48 8.48 8.48 8.11 8.48 8.48 8.11 8.88 8.48 6.02 8.6 8.76 8.27 8.11 TMIN ‐3.16 ‐5.66 ‐3.73 ‐3.73 ‐4.68 ‐3.42 ‐3.16 ‐3.86 ‐5.06 ‐5.24 ‐5.63 ‐4.67 ‐3.42 ‐5.24 ‐3.86 ‐3.7 ‐3.58 ‐6.16 ‐3.42 ‐4.59 ‐3.7 ‐3.62 ‐3.58 ‐3.58 ‐4.22 ‐4.68 ‐3.62 ‐4 ‐5.4 ‐5.75 ‐3.7 ‐3.7 ‐3.7 ‐4.22 ‐3.7 ‐3.7 ‐4.22 ‐3.75 ‐3.7 ‐4.8 ‐3.68 ‐3.16 ‐3.7 ‐4.22 BLUE 422.33 403.77 447.72 447.55 432.95 411.33 423.07 470.32 401.75 417.56 423.57 420.6 413.33 417.49 470.26 504.38 416.41 437.2 413.42 433.64 448.63 405.37 414.81 417.23 467.72 432.68 405.69 462.98 405.66 400.04 503.37 503.45 503.94 467.86 503.81 503.52 467.81 451.44 502.71 629.41 426.92 422.58 434.55 447.51 DA 160.63 143 159.59 161.17 223.45 154.29 159.47 176.38 96.52 97.05 156.54 210.8 159.11 117.49 180.95 191.07 159.07 101.55 162.01 101.4 106.35 167.04 157.52 151.9 110.26 218.76 156.71 174.69 145.14 145.71 217.74 211.19 204 108.04 197.05 203.63 108.18 176.14 205.16 227.68 160.24 162.75 166.78 105.96 ET 52.06 50.16 48.17 48.24 50.75 51.38 51.46 50.29 50.87 50.89 50.53 51.38 49.45 50.87 50.56 49.92 49.85 49.8 49.43 37.55 38.01 51.42 51.48 49.08 31.47 51.2 50.9 51.52 50.67 49.89 51.11 51.11 50.48 31.5 50.71 50.98 31.52 51.5 51.73 46.19 51.79 52.22 51.8 51.5 PET 55.42 53.44 53.16 53.63 54.24 54.87 54.56 53.51 54.14 53.58 53.26 54.34 54.78 54.29 53.29 53.18 55.1 53.1 53.98 53.56 53.61 54.19 54.67 55.03 53.94 53.99 54.55 54.75 53.99 52.83 54.04 54.63 53.93 54.12 53.53 54.37 54.15 54.27 55.06 49.71 55.23 55.42 55.06 54.72 SW 2359.99 3070.88 2399.76 2399.76 2335.74 2387.15 2360.19 2418.67 2205.61 2206.03 3073.09 2336.07 2333.98 3033.36 2377.53 2391.57 2325.16 3030.07 2334.01 131.57 131.78 2333.41 1696.34 1694.34 136.9 2337.31 1693.64 2409.62 3067.27 3087.24 1407.09 1406.68 2409.91 136.89 2408.83 2409.74 136.88 2362.53 2409.48 1521.72 2385.59 2359.89 2363.37 2486.34 Table 5. Continued. Subbasin 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 RB NAME Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB 67 421 422 423 Athabasca RB Athabasca RB N_Beaver 453.56 466.53 451.31 6.84 7.06 6.49 PCP 451.31 510.92 479.2 451.31 454.53 517.56 451.31 451.31 465.81 454.53 465.81 517.56 510.92 514.11 471.24 451.31 474.19 674.66 514.11 502.36 502.36 591.97 464.27 464.27 471.24 499.02 485.94 487.75 506.77 528.59 506.77 487.75 528.59 497.01 511.79 506.77 482.89 471.24 506.77 533.04 540.65 506.77 487.75 528.59 TMAX 6.49 8.23 7.77 6.49 6.64 8.1 6.49 6.49 7.28 6.64 7.28 8.1 8.23 8.83 6.35 6.49 8.76 6.02 8.83 8.88 8.88 7.36 6.22 6.22 6.35 8.11 6.69 6.48 7.89 9.36 7.89 6.48 9.36 7.77 7.56 7.89 6.51 6.35 7.89 8.86 9.04 7.89 6.48 9.36 ‐5 ‐4.88 ‐5.36 403.74 416.86 400.1 119.42 117.76 158.6 50.8 50.97 50.85 53.76 53.96 53.66 3028.44 3030.92 2466.82 ET 50.49 51.9 7.41 50.55 50.9 140.98 50.59 50.35 50.96 50.8 51.6 51.9 52.57 51.85 50.26 50.73 52.17 46.85 52.08 51.93 51.86 49.64 50.37 50.59 50.55 51.45 51.41 50.86 51.64 53.63 51.76 50.79 53.64 52.04 51.5 51.45 50.97 50.67 51.82 52.11 53.15 51.77 51.02 54.1 PET 53.69 55.11 53.64 53.69 53.83 203.84 52.94 53.66 54.45 53.6 54.53 54.68 55.39 54.59 53.64 53.44 55.1 50.2 55.61 55.26 55.15 53 53.89 53.38 53.52 54.44 54.18 53.94 54.67 56.32 55.14 53.58 56.61 55.44 54.19 54.44 53.71 53.65 54.73 54.85 56.49 55.18 53.81 57.14 SW 2469.27 2486.25 51.2 3062.59 3067.21 387.4 2469.14 2469.38 3023.31 3032.03 3023.15 2490.32 2492.35 2347.98 3014.92 3062.49 2386.21 1523.19 2362.01 2362.31 2362.28 2446.89 3015.54 3074.07 3074.95 2489.29 3071.38 3073.68 3019.04 2368.08 3016.4 3073.71 2368.03 3016.3 2489.1 3012.64 3077.92 3074.9 3016.35 2393.96 2409.24 3016.35 3073.61 2407.93 Table 5. Continued. Subbasin 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 RB NAME N_Beaver Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB N_Beaver N_Beaver Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Athabasca RB Peace RB Peace RB Peace RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Peace RB Peace RB Athabasca RB Athabasca RB Peace RB TMIN ‐5.36 ‐4.42 ‐4.52 ‐5.36 ‐5.4 ‐4.42 ‐5.36 ‐5.36 ‐4.82 ‐5.4 ‐4.82 ‐4.42 ‐4.42 ‐4 ‐5.7 ‐5.36 ‐3.16 ‐4.8 ‐4 ‐3.75 ‐3.75 ‐3.94 ‐5.56 ‐5.56 ‐5.7 ‐4.22 ‐5.39 ‐5.66 ‐4.81 ‐2.83 ‐4.81 ‐5.66 ‐2.83 ‐4.69 ‐4.38 ‐4.81 ‐5.66 ‐5.7 ‐4.81 ‐3.3 ‐3.51 ‐4.81 ‐5.66 ‐2.83 BLUE 400.74 459.44 454.52 402.41 405.7 4.02 400.25 400.42 415.17 405.1 414.52 465.21 458.07 462.49 420.09 401.68 422.12 628.03 462.11 450.44 450.47 542.65 414.23 415.18 421.13 447.2 435.21 437.36 454.54 474.91 454.53 437.6 474.97 445.21 461.23 455.12 432.98 421.39 454.45 480.97 487.61 454.24 437.34 474.54 DA 169.46 111.74 155.71 144.97 145.81 1.81 168.08 169.03 120.15 110.97 119.55 108.67 108.01 193.62 94.92 148.27 159.18 243.6 178.43 174.48 172.5 213.92 98.35 148.31 149.79 106.46 155.16 157.93 108.94 181.33 105.97 158.77 178.69 106.83 107.73 105.93 153.03 148.72 104.64 204.11 185.93 104.34 158.07 198.49 68 468 469 470 Athabasca RB Peace RB Peace RB 471.24 535.82 563.25 6.35 8.93 8.39 ‐5.7 ‐3.19 ‐3.88 PCP 517.56 451.31 464.27 596.53 464.27 464.27 535.82 596.53 471.24 464.27 486.36 533.04 591.97 518.29 782.76 518.29 508.69 506.77 688.43 473.72 465.81 518.29 483.02 464.27 479.41 688.43 483.02 483.02 508.69 670.16 486.36 584.1 782.76 688.43 485.67 497.01 478.06 512.85 478.06 485.78 485.78 477.22 478.06 518.29 TMAX 8.1 6.49 6.22 8.75 6.22 6.22 8.93 8.75 6.35 6.22 7.11 8.86 7.36 8.42 4.79 8.42 8.69 7.89 6.12 7.55 7.28 8.42 7.34 6.22 6.83 6.12 7.34 7.34 8.69 5.84 7.11 9.24 4.79 6.12 6.99 7.77 7.53 8.22 7.53 7.9 7.9 7.65 7.53 8.42 TMIN ‐4.42 ‐5.36 ‐5.56 ‐3.57 ‐5.56 ‐5.56 ‐3.19 ‐3.57 ‐5.7 ‐5.56 ‐5 ‐3.3 ‐3.94 ‐4.67 ‐5.24 ‐4.67 ‐4.31 ‐4.81 ‐4.36 ‐4.41 ‐4.82 ‐4.67 ‐4.68 ‐5.56 ‐5.28 ‐4.36 ‐4.68 ‐4.68 ‐4.31 ‐5.18 ‐5 ‐3.16 ‐5.24 ‐4.36 ‐5.08 ‐4.69 ‐4.37 ‐3.91 ‐4.37 ‐3.19 ‐3.19 ‐4.19 ‐4.37 ‐4.67 420.98 482.2 511.47 149.11 199.43 213.38 50.96 53.75 51.7 54.38 56.67 55.1 3074.81 2411.61 2398.41 PET 56.38 53.36 53.58 54.8 53.86 53.8 57.12 55.89 54.49 53.82 54.74 56.13 52.9 56.28 46.99 56.58 55.57 54.71 49.46 55.56 54.42 55.71 54.6 53.68 54.68 50.19 55.4 54.62 55.52 50.62 55.28 57.24 48.99 51.36 55.13 55.07 54.91 55.69 54.95 55.92 55.61 54.94 54.85 55.79 SW 2493.7 2207.62 2480.66 2396.89 60.32 2222.91 2381.57 2396.59 3074.79 2480.49 3073.52 2393.08 1397.68 2489.76 1677.67 3044.74 2483.15 2490.97 1460.38 3001.73 3064.61 2488.42 3033.21 2480.43 3066.21 1461 3007.29 3003.6 3012.33 1538.46 3008.22 2431.26 1672.1 1522.15 3010.01 3014.75 3002.82 3007.47 3003.52 3002.12 3001.25 3001.67 2472.79 2488.32 Table 5. Continued. Subbasin 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 RB NAME Athabasca RB N_Beaver N_Beaver Peace RB N_Beaver N_Beaver Peace RB Peace RB Athabasca RB N_Beaver Athabasca RB Peace RB Peace RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB N_Beaver Athabasca RB Peace RB Athabasca RB Athabasca RB Athabasca RB Peace RB Athabasca RB Peace RB Peace RB Peace RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB BLUE 464.38 400.45 412.77 544.8 431.72 412.33 482.27 544.01 421.33 412.33 435.21 480.05 543.5 465.71 740.63 466.12 456.35 454.94 643.01 421.96 415.11 466.02 433.49 412.17 428.44 642.48 431.05 431.56 455.93 621.95 434.36 530.21 739.39 642.19 434.37 445.38 426.06 459.61 425.98 433.05 433.34 425.13 426.54 465.41 DA 110.62 165.98 162.77 223.54 149.45 170.69 196.57 224.49 152.92 163.17 159.45 205.16 185.63 109.09 254.75 129.57 105.15 109.26 195.59 102.31 151.06 106.84 100.51 162.82 153.42 202.71 100.25 99.89 107.72 250.37 100.84 233.92 229.92 223.27 103.24 107.89 96.06 105.55 101.16 100.37 102.62 101.41 97.03 108.24 ET 52.94 50.57 50.24 51.58 8.07 50.4 53.85 52.49 50.99 50.76 51.52 53.06 49.54 52.87 44.11 52.97 52.77 51.98 46.73 51.92 51.68 52.73 50.25 50.87 51.48 47.23 51.97 51.68 52.85 47.79 51.76 54.52 45.18 47.76 51.64 52.38 52.21 53.01 52.15 53.19 52.92 52.23 52.15 53.11 69 515 516 517 Athabasca RB Athabasca RB Athabasca RB 508.69 478.06 478.97 8.69 7.53 7.74 PCP 583.83 456.65 577.74 604.2 580.47 580.47 481.64 581.91 583.83 568.77 490.67 572.76 568.77 508.69 490.67 456.65 456.65 501.28 540.7 568.77 575.15 503.73 461.74 444.49 581.91 738.66 437.9 477.22 461.41 437.9 501.28 503.73 437.9 437.9 490.67 583.83 564.5 564.5 610.71 587.97 587.97 587.97 469.9 587.97 TMAX 9.31 6.5 7.05 7.16 9.35 9.35 8.36 8.48 9.31 8.51 9.27 8.96 8.51 8.69 9.27 6.5 6.5 8.79 9.11 8.51 9.47 9.22 6.67 7.14 8.48 5.38 7.08 7.65 8.16 7.08 8.79 9.22 7.08 7.08 9.27 9.31 9.79 9.79 9.04 9.14 9.14 9.14 7.36 9.14 ‐4.31 ‐4.37 ‐4 456.33 426.1 426.87 129.76 98.59 103.46 52.8 52.39 52.5 55.78 55.15 55.26 3033.76 2472.67 3006.02 ET 52.85 51.13 50.46 48.58 54.89 54.58 40.5 51.25 53.28 53.09 53.65 54.25 141.96 53.01 53.77 51.57 51.5 52.14 53.67 52.95 53.91 51.96 51.43 52.37 51.2 45.69 52.15 52.66 53.02 52.25 51.62 52.13 52.36 52.61 53.88 53.25 54.24 54.37 54.08 54.28 54.15 54.22 52.44 54.37 PET 55.63 54.04 53.69 51.44 57.74 57.45 56.42 54.12 56.17 55.99 56.42 57.05 205.18 55.31 56.53 54.4 54.84 56.97 56.39 55.72 56.68 56.56 54.23 55.69 54.42 48.66 55.04 55.87 56.33 55.58 57.15 56.68 55.13 55.82 57.07 56.05 57.1 57.17 56.91 57.25 57.39 57.15 55.69 57.66 SW 2497.72 2468.73 2523.04 2559.51 2485 2485.08 120.65 2838.9 2497.6 2506.14 2474.35 2496.76 447.08 3013.47 2474.3 2469.23 2468.59 3007.11 2491.68 2502.24 2498.2 3032.62 2476.24 2455.6 2838.82 1907.46 2462.75 2443.01 2431.61 2455.26 2474.51 3032.55 2455.24 2455.12 2474.33 2497.5 2929.11 2487.55 2508.05 3100.74 2501.5 3100.75 2456.02 3100.72 Table 5. Continued. Subbasin 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 RB NAME Athabasca RB N_Beaver Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Beaver RB Beaver RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Beaver RB Beaver RB Athabasca RB Athabasca RB Beaver RB Beaver RB Beaver RB Beaver RB Athabasca RB Athabasca RB Beaver RB Beaver RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Beaver RB Athabasca RB TMIN ‐3.77 ‐5.33 ‐5.6 ‐4.81 ‐2.85 ‐2.85 ‐3 ‐4.26 ‐3.77 ‐4.89 ‐4.27 ‐3.88 ‐4.89 ‐4.31 ‐4.27 ‐5.33 ‐5.33 ‐2.98 ‐4.61 ‐4.89 ‐4.77 ‐3.44 ‐5.37 ‐4.95 ‐4.26 ‐5.91 ‐4.69 ‐4.19 ‐3.71 ‐4.69 ‐2.98 ‐3.44 ‐4.69 ‐4.69 ‐4.27 ‐3.77 ‐3.98 ‐3.98 ‐4.1 ‐4.54 ‐4.54 ‐4.54 ‐4.76 ‐4.54 BLUE 531.09 403.56 524.96 548.8 525.77 525.97 442.04 528.05 530.28 515.41 437.46 518.44 3.78 455.16 437.23 401.33 402.8 449.34 487.52 515.95 521.49 452.3 407.29 390.46 527.76 688.58 382.64 421.27 405.57 382.75 450.05 452.01 382.77 382.3 437.07 530.48 510.45 510.18 555.84 534.44 533.67 534.62 412.93 534.36 DA 125.12 158.67 118.69 127.81 119.25 122.46 109.33 120.03 123.12 115.69 96.59 119.44 1.19 112.49 103.2 168.15 157.55 104.75 111.56 111.11 113.9 107.48 168.56 154.32 120.16 109.25 161.69 164.68 160.94 153.25 104.31 104.52 153.15 152.96 100.2 124.85 114.22 112.42 127.33 193.21 123.63 189.91 152.74 190.77 70 562 563 564 Beaver RB Beaver RB Beaver RB 437.9 463.48 460.26 7.08 8.13 7.86 ‐4.69 ‐3.83 ‐4.31 PCP 610.71 460.26 460.26 437.9 800.45 637.21 738.66 575.15 431 425.81 437.9 609.56 425.81 609.56 481.64 431 431 425.81 738.66 461.41 431 738.66 564.5 609.56 533.82 478.94 479.66 481.64 478.94 635.32 879.03 425.81 879.03 454.13 530.63 845.49 494.91 494.91 494.91 437.59 463.48 425.81 845.49 530.63 TMAX 9.04 7.86 7.86 7.08 4.74 7.54 5.38 9.47 7.83 7.73 7.08 9.68 7.73 9.68 8.36 7.83 7.83 7.73 5.38 8.16 7.83 5.38 9.79 9.68 9.69 8.66 8.04 8.36 8.66 8.65 5.19 7.73 5.19 9.01 9.44 5.65 9.39 9.39 9.39 8.63 8.13 7.73 5.65 9.44 TMIN ‐4.1 ‐4.31 ‐4.31 ‐4.69 ‐5.75 ‐4.93 ‐5.91 ‐4.77 ‐4.46 ‐3.99 ‐4.69 ‐4.28 ‐3.99 ‐4.28 ‐3 ‐4.46 ‐4.46 ‐3.99 ‐5.91 ‐3.71 ‐4.46 ‐5.91 ‐3.98 ‐4.28 ‐2.99 ‐2.87 ‐3.73 ‐3 ‐2.87 ‐4.62 ‐5.55 ‐3.99 ‐5.55 ‐2.44 ‐2.16 ‐5.65 ‐2.09 ‐2.09 ‐2.09 ‐3.42 ‐3.83 ‐3.99 ‐5.65 ‐2.16 382.86 408.11 403.65 152.94 161.19 150.36 52.43 53.04 53.13 55.73 56.18 56.37 2455.17 2437.19 2455.73 PET 57.31 56.9 56.26 55.64 48.39 54.87 47.82 57.18 55.53 56.19 55.52 57.73 56.45 57.85 56.51 55.56 56.33 56.8 48.02 56.24 56 50.29 57.37 57.82 56.59 56.67 56.18 56.35 56.56 55.8 46.65 56.3 46.89 57.79 57.68 49.15 58.15 57.97 58.09 56.47 56.03 55.88 49.76 58.07 SW 3106.54 2453.98 2455.71 2455.16 1943.08 1806.38 1910.55 2499.93 2437.24 2437.85 2445.8 3111.8 2438.04 2834.04 118.87 2437.22 2436.97 2437.63 1906.56 2867.55 2436.92 1869.77 2487.46 2834.02 2480.75 2868.26 2871.01 2873.11 2868.48 2854.38 1937.21 2437.73 1943.16 2867.22 2592.93 1886.77 2871.6 2871.61 2870.98 2863.23 2869.58 2421.79 1887.16 2592.85 Table 5. Continued. Subbasin 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 RB NAME Athabasca RB Beaver RB Beaver RB Beaver RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB Beaver RB Beaver RB Beaver RB Athabasca RB Beaver RB Athabasca RB North Sas. RSB Beaver RB Beaver RB Beaver RB Athabasca RB North Sas. RSB Beaver RB Athabasca RB Athabasca RB Athabasca RB Athabasca RB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB Athabasca RB Athabasca RB Beaver RB Athabasca RB North Sas. RSB North Sas. RSB Athabasca RB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB Beaver RB Athabasca RB North Sas. RSB BLUE 557.28 403.25 403.7 382.81 749.39 584.69 689.75 521.38 375.8 371.26 383.12 555.82 371.04 553.18 441.97 375.57 375.12 370.35 689.7 407.96 375.08 688.45 510.22 552.93 480.42 426.34 427.04 426.73 425.49 577.8 828.33 370.92 828.04 400.33 476.23 793.7 440.45 440.45 440.7 385.81 410.99 373.61 793.61 476.33 DA 200.35 150.56 150.31 153.24 109.81 103.02 125.29 120.95 139.95 137.86 149.24 201.68 137.38 129.68 113.64 139.39 138.98 138.25 103.19 100.57 139.06 92.38 114.29 129.79 110.67 105.01 107.74 112.17 119.71 129.21 117.39 138.45 155.75 102.65 113.84 101.78 108.6 110.39 108.17 97.02 99.36 147.7 106.7 109.7 ET 54.13 53.55 53.12 52.43 45.12 51.94 44.92 54.26 52.66 53.12 52.51 54.57 53.13 54.79 39.61 52.72 53.2 53.73 44.89 53.45 53.32 47.24 54.62 54.98 53.75 52.97 52.5 53.68 53.87 53.07 43.66 53.43 43.76 54.79 54.98 46.48 54.35 54.28 54.42 52.67 53.36 51.26 46.73 55.2 71 609 610 611 Athabasca RB North Sas. RSB North Sas. RSB 594.06 454.13 494.91 9.54 9.01 9.39 ‐4.83 ‐2.44 ‐2.09 540.35 400.37 438.83 189.91 104.41 92.28 55.38 55 55.47 58.11 58.21 58.11 3105.42 2867.35 2874.86 PCP 570.06 570.06 482.25 591.53 591.53 585.13 585.13 504.32 482.25 482.25 435.13 544.71 435.13 570.06 504.32 434.24 585.13 570.06 435.13 426.97 429.43 621.12 477.22 436.06 429.15 608.55 589.92 592.08 589.92 429.43 589.92 592.08 621.12 746.57 429.43 436.06 429.15 425.76 429.15 416.7 589.92 429.43 429.43 502.91 TMAX 10.09 10.09 9.17 9.7 9.7 9.89 9.89 9.63 9.17 9.17 8.15 9.72 8.15 10.09 9.63 8.42 9.89 10.09 8.15 8.02 8.06 8.45 8.91 8.94 8.75 9.58 9.88 9.49 9.88 8.06 9.88 9.49 8.45 6.4 8.06 8.94 8.75 8.58 8.75 8.58 9.88 8.06 8.06 9.44 TMIN ‐2 ‐2 ‐2.97 ‐4.69 ‐4.69 ‐3.46 ‐3.46 ‐2.75 ‐2.97 ‐2.97 ‐3.93 ‐1.77 ‐3.93 ‐2 ‐2.75 ‐3.58 ‐3.46 ‐2 ‐3.93 ‐4.21 ‐4 ‐5.57 ‐2.63 ‐3.13 ‐3.12 ‐2.93 ‐3.89 ‐5.1 ‐3.89 ‐4 ‐3.89 ‐5.1 ‐5.57 ‐6.23 ‐4 ‐3.13 ‐3.12 ‐3.37 ‐3.12 ‐3.72 ‐3.89 ‐4 ‐4 ‐2.69 BLUE 516.27 515.8 427.56 538.8 538.28 530.85 530.6 450.8 428.27 427.58 383.25 489.33 384.01 515.53 449.6 382.87 530.86 515.64 383.14 374.44 376.54 563.94 422.56 382.92 377.46 553.96 535.39 538.83 533.64 377.78 533.55 535.96 569.21 696.31 376.66 383.33 376.84 373.04 377.41 363.74 533.74 379.15 378.64 449.6 DA 119.49 121.16 90.78 195.79 193.06 120.24 145.13 106.98 104.5 107.04 98.52 120.98 93.8 119.03 112.92 96.52 152.83 121.25 92.16 88.54 86.66 130.36 109.34 100.75 94.27 135.35 155.5 204.36 128.06 88.22 129.19 129.53 136.33 111.62 86.65 94.96 97.68 92.67 95.5 91.23 129.94 88.02 90.56 111.01 ET 55.57 55.79 54.53 54.61 55.13 55.04 55.33 54.01 53.63 54.75 53.56 55.59 52.84 55.96 55.54 53.08 55.16 55.73 53.72 53.31 53.71 50.97 54.94 53.54 53.2 55.49 55.18 54.12 55.12 52.79 55.2 54.64 51.76 48.51 53.76 53.28 53.56 54.19 53.46 53.37 55.19 51.4 51.68 54.38 PET 58.11 58.57 57.27 57.19 58.48 58.29 58.17 57.95 57.23 57.39 56.2 58.21 56.69 58.61 58.29 56.93 57.77 58.61 56.5 55.95 56.3 53.64 57.71 57.42 56.9 58.16 57.92 57.04 58.3 56.6 57.84 57.49 54.64 51.3 56.45 57.03 57.3 56.82 57.13 56.96 57.87 56.77 56.43 57.91 SW 2871.31 2587.14 2876.01 3096.8 3096.68 2485.12 3043.37 2874.23 2872.32 2874.05 2864.87 2872.88 2867.49 2587.07 2876.16 2869.57 2889.79 2587.15 2864.78 2580.18 2864.53 2910.54 2581.71 2857.57 2864.23 2604.51 2895.28 2956.41 2855.68 2866.34 2855.66 2869.35 1705.28 1772.12 2866.21 2857.65 2858.61 2863.44 2864.15 2864.1 2855.65 2866.65 2862.49 2881.73 Table 5. Continued. Subbasin 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 RB NAME North Sas. RSB North Sas. RSB North Sas. RSB Athabasca RB Athabasca RB Athabasca RB Athabasca RB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB 72 656 657 658 North Sas. RSB North Sas. RSB North Sas. RSB 589.92 482.25 750.1 9.88 9.17 6.04 ‐3.89 ‐2.97 ‐6.74 533.06 428.22 702.9 132.71 105.86 139.76 55.77 54.08 46.59 58.52 57.75 49.39 2855.5 2875.9 1818.97 PCP 1031.92 477.22 433.01 502.91 502.91 416.7 750.1 622.55 694.06 622.55 425.76 416.7 416.7 1018.43 592.67 592.67 694.06 551.85 608.55 551.85 622.55 537.12 501.71 460.09 460.09 447.83 433.01 433.01 428.32 420.66 428.32 428.16 428.16 489.92 460.09 420.66 420.66 501.71 447.83 462 669.89 420.66 462 428.32 TMAX 2.47 8.91 9.48 9.44 9.44 8.58 6.04 8.97 6.88 8.97 8.58 8.58 8.58 2.72 9.81 9.81 6.88 9.45 9.58 9.45 8.97 9.44 9.54 9.29 9.29 9.28 9.48 9.48 8.47 9.08 8.47 9.19 9.19 9.41 9.29 9.08 9.08 9.54 9.28 9.71 7.79 9.08 9.71 8.47 TMIN ‐8.46 ‐2.63 ‐2.21 ‐2.69 ‐2.69 ‐3.72 ‐6.74 ‐5.83 ‐6.96 ‐5.83 ‐3.37 ‐3.72 ‐3.72 ‐8.52 ‐3.53 ‐3.53 ‐6.96 ‐3.24 ‐2.93 ‐3.24 ‐5.83 ‐2.63 ‐3.16 ‐2.51 ‐2.51 ‐2.65 ‐2.21 ‐2.21 ‐3.61 ‐3.09 ‐3.61 ‐2.98 ‐2.98 ‐2.9 ‐2.51 ‐3.09 ‐3.09 ‐3.16 ‐2.65 ‐2.98 ‐5.95 ‐3.09 ‐2.98 ‐3.61 BLUE 992.97 423.95 380.2 449.36 448.41 363.6 677.39 567.98 630.25 567.53 373.68 363.59 363.55 977.91 537.29 538.85 645.4 499.53 555.26 499.46 565.98 484.49 447.95 407.79 407.7 394.78 380.02 379.19 375.06 367.29 374.69 375.82 375.1 435.94 406.33 367.84 367.09 447.99 394.35 408.15 609.7 366.71 407.98 373.35 DA 97.99 104.65 92.51 114.15 110.66 88.31 115.04 128.59 125.47 128.9 92.29 86.11 87.38 104.5 121.98 139.87 119.94 130.66 147.87 131.69 128.09 135.25 124.02 100.72 99.66 98 89.1 88.78 91.31 84.61 90.64 80.75 93.21 123.2 112.95 85.69 91.35 123.76 87.04 112.89 149.72 94.22 110.75 95.5 ET 35.36 54.17 53.66 54.72 55.53 53.68 47.32 52.71 48.08 53.1 53.63 53.73 53.75 36.07 55.68 55.55 49.02 54.44 55.75 54.48 53.52 55.05 55.73 53.53 53.49 54.14 54.09 54.94 53.79 54.14 54.03 53.19 53.65 55.78 55.06 53.36 54.2 54.83 54.22 54.81 49.58 54.37 54.83 54.45 PET 38.2 57.72 57.36 58.3 58.26 57.36 50.08 55.4 50.95 55.88 57.39 57.32 57.31 38.73 58.26 58.27 52.09 58.38 58.62 58.71 56.48 57.74 58.68 57.46 57.21 57.8 57.79 57.59 57.25 56.75 57.52 57.08 57.28 58.4 57.89 57.12 56.84 58.46 58.36 57.43 52.53 57.34 57.46 57.27 SW 2152.99 2872.57 2854.31 2881.62 2590.12 2863.92 3007.46 2638.76 2972.88 2638.59 2864.39 2863.89 2863.88 2090.72 2605.56 2190.51 1768.53 2184.81 2186.82 2184.81 2886.37 2175.33 2207.8 2873.01 2872.99 2858.5 2860.25 2859.61 2867.7 2863.11 2867.58 2666.58 2864.34 2206.65 2196.59 2862.89 2081.24 2209.23 2668.49 2195.84 1340.04 2081.16 2195.81 2863.95 Table 5. Continued. Subbasin 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 RB NAME North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB Red Deer RSB North Sas. RSB Red Deer RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB Red Deer RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB Red Deer RSB Red Deer RSB North Sas. RSB North Sas. RSB Red Deer RSB North Sas. RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB North Sas. RSB 73 703 704 705 North Sas. RSB Red Deer RSB North Sas. RSB 428.32 431.23 420.66 8.47 9.43 9.08 ‐3.61 ‐2.76 ‐3.09 373.07 378.32 369.6 95.65 104.51 86.76 54.37 54.04 51.06 57.05 56.65 57.31 2866.71 2189.69 2078.78 PCP 420.66 462 551.85 551.85 551.85 551.85 501.71 551.85 551.85 669.89 420.66 490.23 558.69 558.69 490.23 413.08 420.66 414.8 425.5 390.43 837.23 558.69 669.89 558.69 837.23 390.43 558.69 669.89 416.95 558.69 414.8 390.43 490.23 398.65 390.43 468.66 468.66 969.29 881.11 881.11 389.79 342.91 390.43 417.55 TMAX 9.08 9.71 9.45 9.45 9.45 9.45 9.54 9.45 9.45 7.79 9.08 10.31 9.95 9.95 10.31 9.32 9.08 9.65 9.38 9.35 4.32 9.95 7.79 9.95 4.32 9.35 9.95 7.79 9.29 9.95 9.65 9.35 10.31 9.39 9.35 9.98 9.98 4.36 3.97 3.97 10.09 9.71 9.35 10.16 TMIN ‐3.09 ‐2.98 ‐3.24 ‐3.24 ‐3.24 ‐3.24 ‐3.16 ‐3.24 ‐3.24 ‐5.95 ‐3.09 ‐2.55 ‐4.19 ‐4.19 ‐2.55 ‐3.23 ‐3.09 ‐2.13 ‐2.7 ‐3.04 ‐8.19 ‐4.19 ‐5.95 ‐4.19 ‐8.19 ‐3.04 ‐4.19 ‐5.95 ‐3.14 ‐4.19 ‐2.13 ‐3.04 ‐2.55 ‐3.13 ‐3.04 ‐2.86 ‐2.86 ‐6.81 ‐7.74 ‐7.74 ‐2.69 ‐3.16 ‐3.04 ‐3.07 BLUE 366.51 408.79 496.87 497.98 498.06 498.26 447.5 496.81 497.16 608.33 366.49 436.52 503.59 505.09 436.65 360.45 369.66 361.29 373.76 337.59 771.71 503.72 608.84 502.71 771.75 337.11 502.08 609.03 362.39 503.16 363.03 336.3 435.92 344.39 338.15 415.5 415.37 896.12 812.87 812.15 337.87 290.59 336.42 365.92 DA 84.04 113.78 133.47 134.92 131.03 134.47 125.24 132.74 133.4 151.25 89.21 123.28 131.66 133.34 124.07 79.1 86.53 89.19 89.02 80.34 104.12 138.7 147.61 139.33 106.62 83.7 138.46 139.96 110.76 141.33 87.22 83.46 126.93 79.6 79.37 114.91 114.88 120.62 96.8 106.85 82.69 69.42 78.73 101.14 ET 54.09 53.9 56 54.88 54.77 54.71 55.02 56.07 55.95 49.81 54.37 54.85 55.26 53.75 54.81 53.14 51.25 54.58 52.45 53.82 44.25 55.47 50.62 56.45 42.95 54.64 56.23 50.63 55.01 56.07 53.22 55.14 55.64 54.31 53.59 54.39 54.49 43.66 42.41 41.03 53.5 53.36 55.36 53.42 PET 56.74 57.72 58.83 58.88 58.78 58.69 58.95 58.97 58.85 52.84 57.31 58.62 58.1 58.01 58.83 57.47 57.35 57.22 56.25 57.57 46.87 58.11 53.65 59.42 46.03 57.27 58.86 53.66 57.9 58.79 57.57 57.77 59.42 57.19 57.72 58.13 58.46 46.63 45.12 43.74 57.71 55.98 57.87 57.21 SW 2863.15 2198.9 2216.68 2219.87 2219.9 2219.95 2209.18 2183.37 2216.67 2277.79 2863.12 2206.64 2185.83 2188.15 2206.65 2655.01 2078.71 2850.95 2857.79 2858.6 1476.97 2188.42 1339.93 2187.99 1511.01 2858.02 2200.05 1339.5 2082.19 2188.07 2852.82 2856.8 2206.34 2860.86 2076.6 2204.24 2204.2 1509.28 1489.73 1529.54 2856.27 2850.86 2856.94 2199.23 Table 5. Continued. Subbasin 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 RB NAME North Sas. RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB North Sas. RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB North Sas. RSB North Sas. RSB Red Deer RSB North Sas. RSB North Sas. RSB Red Deer RSB Red Deer RSB Bow RSB Bow RSB Bow RSB North Sas. RSB North Sas. RSB North Sas. RSB Red Deer RSB 74 750 751 752 Red Deer RSB Bow RSB North Sas. RSB 417.55 841.01 342.91 10.16 3.81 9.71 ‐3.07 ‐7.87 ‐3.16 366.01 772.09 291.37 100.06 93.43 69.14 53.33 41.93 52.45 57.28 44.81 56.22 2199.3 1516.49 2851.19 PCP 377.56 342.42 726.73 386.32 386.32 342.91 386.32 585.69 415.56 585.69 726.73 386.32 585.69 386.32 377.97 434.77 377.97 841.01 499.78 335.39 342.42 499.78 499.78 434.77 342.91 377.56 499.78 709.99 335.39 561.13 499.78 335.39 335.39 342.8 561.13 418.16 370.3 342.8 561.13 418.16 418.16 418.16 395.5 377.97 TMAX 9.56 9.41 6.01 10.6 10.6 9.71 10.6 9.62 10.6 9.62 6.01 10.6 9.62 10.6 10.94 10.72 10.94 3.81 10.07 9.84 9.41 10.07 10.07 10.72 9.71 9.56 10.07 6.37 9.84 9.91 10.07 9.84 9.84 10.51 9.91 11.28 10.74 10.51 9.91 11.28 11.28 11.28 11.14 10.94 TMIN ‐3.2 ‐3.92 ‐6.92 ‐2.43 ‐2.43 ‐3.16 ‐2.43 ‐4.45 ‐2.73 ‐4.45 ‐6.92 ‐2.43 ‐4.45 ‐2.43 ‐2.49 ‐2.35 ‐2.49 ‐7.87 ‐3.29 ‐3.02 ‐3.92 ‐3.29 ‐3.29 ‐2.35 ‐3.16 ‐3.2 ‐3.29 ‐6.92 ‐3.02 ‐4 ‐3.29 ‐3.02 ‐3.02 ‐3.26 ‐4 ‐2.12 ‐2.68 ‐3.26 ‐4 ‐2.12 ‐2.12 ‐2.12 ‐2.1 ‐2.49 BLUE 324.9 290.2 662.08 333.75 333.26 289.73 333.45 529.8 362.64 531.34 662.08 333.47 529.5 333.23 323.96 380.51 323.93 770.95 445.84 281.78 289.46 445.52 446.82 380.45 289.28 325.18 445.32 643.48 282.34 505.79 445.78 281.69 284.8 289.23 506.84 364.13 316.94 289.02 503.54 364.2 364.03 363.87 341.7 323.17 DA 78.66 71.92 127.68 89.3 93.68 69.07 87.99 134.19 98.76 135.71 103.36 90.12 141.07 91.89 88.46 111.74 91.92 96.75 126.01 80.37 71.08 105.24 122.31 108.6 68.5 89.6 122.56 100.4 71.22 107.23 105.03 78.85 81.03 79.55 124.81 93.33 87.78 84.93 124.41 95.42 93.79 94.22 92.51 92.51 ET 53.22 53.24 46.96 54.52 54.34 53.72 54.48 53.5 53.66 53.27 47.51 54.66 53.65 54.68 54.83 54.56 55.03 42.52 54.29 54.98 53.59 54.26 53.06 54.84 53.87 53.63 54.56 48.12 54.08 53.72 54.23 55.23 51.91 55.06 52.82 54.29 54.59 55.22 54.42 54.2 54.37 54.46 54.35 55.46 PET 55.73 55.8 49.65 58.51 58.24 56.4 58.25 56.17 57.96 55.94 50.55 58.53 56.42 58.82 58.66 58.4 59.01 45.35 56.87 57.85 56.26 56.81 57.03 58.83 56.66 56.21 57.3 51.11 57.89 56.29 56.93 57.91 57.78 57.77 56.71 58.76 57.28 57.92 57.17 58.65 58.7 58.79 58.47 59.26 SW 2850.82 2848.92 1406.12 2180.29 2184.32 2845.02 2180.26 2211.34 2199.77 2234.66 1401.73 2180.24 2215.73 2180.29 2188.31 2197.7 2182.36 1516.77 2210.79 2177.32 2848.69 2216.67 2214.01 2197.67 2845.59 2170.6 2210.68 1398.45 2847.68 2232.82 2216.68 2177.23 2160.78 2168.72 2227.79 2189.53 2190.01 2168.68 2223.12 2189.59 2189.49 2189.44 2189.21 2188.02 Table 5. Continued. Subbasin 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 RB NAME North Sas. RSB North Sas. RSB Bow RSB Red Deer RSB Red Deer RSB North Sas. RSB Red Deer RSB Bow RSB Red Deer RSB Bow RSB Bow RSB Red Deer RSB Bow RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Bow RSB Bow RSB NN North Sas. RSB Bow RSB Bow RSB Red Deer RSB North Sas. RSB Red Deer RSB Bow RSB Bow RSB North Sas. RSB Bow RSB Bow RSB NN NN Red Deer RSB Bow RSB Bow RSB Red Deer RSB Red Deer RSB Bow RSB Bow RSB Bow RSB Bow RSB Bow RSB Bow RSB 75 797 798 799 Red Deer RSB Bow RSB Bow RSB 342.8 561.13 392.77 10.51 9.91 11.29 ‐3.26 ‐4 ‐2.02 288.92 506.38 339.08 80.5 124.23 91.91 55.23 53.06 54.4 57.91 56.98 58.37 2168.59 2227.61 2193.52 PCP 418.16 395.5 392.77 395.5 370.3 678.3 342.8 308.77 678.3 366.9 753.88 333.97 333.97 333.97 333.97 309.49 333.97 308.77 295.84 294.16 333.97 294.16 333.97 333.97 392.77 294.16 306.93 306.93 292.66 292.66 295.84 306.93 292.66 292.66 445.88 306.93 306.93 306.93 292.66 418.16 445.88 292.66 678.3 445.88 TMAX 11.28 11.14 11.29 11.14 10.74 9.05 10.51 10.37 9.05 11.4 5.24 11.45 11.45 11.45 11.45 10.51 11.45 10.37 11.36 11.49 11.45 11.49 11.45 11.45 11.29 11.49 10.62 10.62 11.61 11.61 11.36 10.62 11.61 11.61 11.55 10.62 10.62 10.62 11.61 11.28 11.55 11.61 9.05 11.55 TMIN ‐2.12 ‐2.1 ‐2.02 ‐2.1 ‐2.68 ‐4.61 ‐3.26 ‐3.25 ‐4.61 ‐2.2 ‐6.26 ‐2.15 ‐2.15 ‐2.15 ‐2.15 ‐2.49 ‐2.15 ‐3.25 ‐1.68 ‐1.97 ‐2.15 ‐1.97 ‐2.15 ‐2.15 ‐2.02 ‐1.97 ‐2.46 ‐2.46 ‐1.61 ‐1.61 ‐1.68 ‐2.46 ‐1.61 ‐1.61 ‐1.92 ‐2.46 ‐2.46 ‐2.46 ‐1.61 ‐2.12 ‐1.92 ‐1.61 ‐4.61 ‐1.92 BLUE 363.61 341.63 337.75 341.02 317.74 616.27 288.76 253.9 616.11 313.51 685.06 279.83 279.62 279.75 279.36 254.34 279.32 254.13 239.92 239.84 279.23 239.54 279.02 280.18 338.39 239.58 252.84 251.05 236.13 235.99 239.63 254.44 239.04 238.85 389.4 254.31 251.21 251.03 238.83 362.82 389.55 239.04 614.72 386.5 DA 95.01 93.04 92.7 92.43 88.5 118.57 84.67 73.91 128.89 88.79 100.87 93.41 92.84 85.95 77.02 74.87 78.25 74.21 68.98 69.98 76.85 71.39 77.29 79.74 93.55 72.14 71.48 74.47 68.94 68.61 71.59 72.34 69.13 68.24 98.67 74.76 73.4 71.74 69.35 97.75 98.79 67.86 116.85 94.25 ET 54.65 54.3 55.69 54.8 53.53 52.75 55.3 56.29 52.99 54.72 46.99 55.49 55.63 55.48 55.58 56.54 55.56 56.05 56.99 55.77 55.54 55.96 55.71 54.55 54.79 55.7 55.17 56.72 57.09 57.3 56.87 53.08 53.89 54.02 55.18 53.08 56.23 56.45 54.1 54.51 55.13 53.92 53.65 57.65 PET 59.01 58.42 58.38 58.97 57.47 55.44 58.13 58.95 55.62 58.53 49.84 58.1 58.35 58.19 58.26 59.19 58.19 58.7 59.65 58.36 58.11 58.62 58.29 58.52 58.62 58.42 59.12 59.36 59.76 59.87 59.44 59.15 59.68 59.75 59.38 59.23 58.88 59.1 59.96 58.75 59.44 59.74 56.22 60.49 SW 2189.35 2189.17 2192.27 2188.94 2190.32 2252.14 2168.49 2161.93 2250.91 2167.55 1417.09 1591.71 1591.61 1591.54 2161.51 2180.1 2161.54 2162.05 2170.67 2174.46 2161.52 2174.38 2161.44 2161.14 2193.27 2155.56 2179.1 2177.26 2172.22 2172.12 2170.72 2179.62 2172.1 2172.07 2194.48 2179.63 2176.47 2176.31 2170.85 2189.39 2194.5 2172.1 2251.81 2190.39 Table 5. Continued. Subbasin 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 RB NAME Bow RSB Bow RSB Bow RSB Bow RSB Red Deer RSB Bow RSB Red Deer RSB Red Deer RSB Bow RSB Red Deer RSB Bow RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB Bow RSB Red Deer RSB Red Deer RSB NN Red Deer RSB Red Deer RSB Red Deer RSB Red Deer RSB NN NN Oldman RSB NN NN NN NN Oldman RSB Oldman RSB NN Oldman RSB Oldman RSB 76 844 845 846 Oldman RSB Oldman RSB Oldman RSB 445.88 403.93 403.93 11.55 12.03 12.03 ‐1.92 ‐1.26 ‐1.26 387.58 346.44 346.57 96.9 92.46 91.31 57.09 56.51 56.43 59.78 60.29 60.23 2193.58 2182.71 2182.73 PCP 445.88 403.93 445.88 312.27 295.84 313.4 498.8 422.29 351.81 351.81 650.71 292.66 313.4 325.23 325.23 498.8 390.33 325.23 356.83 650.71 650.71 498.8 422.29 650.71 325.23 356.83 498.8 334.39 498.8 381.43 809.26 356.83 313.4 313.4 313.4 334.39 313.4 334.8 335.1 422.29 381.43 422.29 334.39 422.29 TMAX 11.55 12.03 11.55 11.72 11.36 11.93 11.53 12.53 12.14 12.14 8.74 11.61 11.93 12.19 12.19 11.53 11.95 12.19 12.77 8.74 8.74 11.53 12.53 8.74 12.19 12.77 11.53 12.84 11.53 12.57 7.71 12.77 11.93 11.93 11.93 12.84 11.93 12.6 11.81 12.53 12.57 12.53 12.84 12.53 TMIN ‐1.92 ‐1.26 ‐1.92 ‐1.6 ‐1.68 ‐0.98 ‐1.49 ‐0.65 ‐1.65 ‐1.65 ‐3.74 ‐1.61 ‐0.98 ‐1.36 ‐1.36 ‐1.49 ‐1.37 ‐1.36 ‐0.74 ‐3.74 ‐3.74 ‐1.49 ‐0.65 ‐3.74 ‐1.36 ‐0.74 ‐1.49 ‐0.66 ‐1.49 ‐0.7 ‐3.38 ‐0.74 ‐0.98 ‐0.98 ‐0.98 ‐0.66 ‐0.98 ‐0.33 ‐1.08 ‐0.65 ‐0.7 ‐0.65 ‐0.66 ‐0.65 BLUE 387.62 346.42 387.74 257.38 239.23 258.06 438.65 364.3 296.21 296.56 583.54 235.91 257.97 269.82 270.39 439.54 334.44 269.55 300.51 583.05 586.77 439.64 364.43 587.13 269.52 301.08 438.34 277.38 438.89 323.85 737.41 300.48 258.03 258.09 258.1 277.74 257.93 279.5 278.45 364.39 323.56 364.45 278.63 364.18 DA 99.04 92.14 97.85 75.35 69.69 73.46 92.92 100.17 90.85 84.61 113.33 71.97 75.99 81.24 79.84 106.71 90.98 77.32 82.04 120.53 124.67 107.42 98.14 125.08 78.79 85.3 101.29 78.87 105.95 91.38 147.95 87.07 61 77.07 71.94 77.18 61.28 79.73 77.68 96.72 90.44 97.83 78.74 97.45 ET 57.06 56.67 56.99 55.5 57.31 56.27 57.79 57.23 56.57 56.2 55.02 57.73 56.68 56.45 55.88 57.72 56.14 56.69 56.86 55.28 54.03 57.65 57.31 53.86 56.84 56.38 58.43 57.85 58.28 57.33 52.33 57.25 56.85 56.76 56.78 57.8 56.94 56.3 57.89 57.51 57.72 57.51 56.71 57.71 PET 59.77 60.47 59.71 61.4 59.95 58.88 60.51 60.85 59.31 59.9 57.9 60.5 59.29 59.14 59.36 60.43 59.94 59.39 60.32 58.13 56.82 60.52 60.96 56.55 59.67 60.52 61.16 60.58 60.99 60.78 55.12 60.98 59.51 59.34 59.49 60.46 59.57 60.26 60.62 61.13 61.13 61.1 60.9 61.3 SW 2193.61 2182.63 2193.62 2174.5 2170.46 2174.98 2197.66 2181 2183.42 2183.1 1309.85 2171.88 2174.73 2158.5 2176.41 2201.8 2188.11 2158.33 2180.74 1309.97 2253.32 2201.81 2180.94 2253.32 2176.44 2179.25 2197.6 2176.69 2189.1 2179.3 2297.57 2180.59 2174.4 2174.6 2172.58 2176.6 2174.35 2171.9 2178.14 2180.8 2179.09 2180.8 2175.08 2180.71 Table 5. Continued. Subbasin 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 RB NAME Oldman RSB Oldman RSB Oldman RSB NN South Sas. RSB South Sas. RSB Oldman RSB Oldman RSB Bow RSB Bow RSB Oldman RSB South Sas. RSB South Sas. RSB Bow RSB Bow RSB Oldman RSB Oldman RSB Bow RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Bow RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB Oldman RSB South Sas. RSB South Sas. RSB South Sas. RSB South Sas. RSB South Sas. RSB South Sas. RSB South Sas. RSB Oldman RSB Oldman RSB Oldman RSB South Sas. RSB Oldman RSB 77 891 892 893 NN Oldman RSB Oldman RSB 312.27 405.95 523.48 11.72 11.82 12.24 ‐1.6 ‐1.23 ‐0.76 258.97 347.48 465.22 72.79 91.08 112.69 54.33 58.24 57.37 60.09 62.17 61.22 2175.24 2188.17 2195.07 PCP 337.57 337.57 523.48 757.25 337.57 523.48 335.1 757.25 523.48 334.39 335.1 523.48 322.66 523.48 346.77 405.95 523.48 349.81 757.25 349.81 349.81 523.48 323.59 353.61 323.59 323.59 346.77 323.59 323.59 323.59 323.59 323.59 323.59 323.59 323.59 TMAX 10.92 10.92 12.24 10.43 10.92 12.24 11.81 10.43 12.24 12.84 11.81 12.24 12.69 12.24 12.48 11.82 12.24 12.28 10.43 12.28 12.28 12.24 11.77 12.94 11.77 11.77 12.48 11.77 11.77 11.77 11.77 11.77 11.77 11.77 11.77 TMIN ‐2.65 ‐2.65 ‐0.76 ‐1.42 ‐2.65 ‐0.76 ‐1.08 ‐1.42 ‐0.76 ‐0.66 ‐1.08 ‐0.76 ‐0.42 ‐0.76 ‐0.85 ‐1.23 ‐0.76 ‐0.77 ‐1.42 ‐0.77 ‐0.77 ‐0.76 ‐2.48 ‐0.18 ‐2.48 ‐2.48 ‐0.85 ‐2.48 ‐2.48 ‐2.48 ‐2.48 ‐2.48 ‐2.48 ‐2.48 ‐2.48 BLUE 280.74 280.51 464.75 694.02 284.49 465.47 279.88 693.23 463.15 278.14 278.26 464.73 265.53 463.3 288.82 344.69 463.09 293.61 693.03 293.47 293.59 462.23 269.45 293.55 264.85 269.17 287.23 264.7 264.21 264.24 268.82 268.57 266.77 268.72 268.67 DA 72.09 73.3 113.33 148.9 73.88 116.37 77.27 86.93 113.01 82.84 76.5 111.82 80.8 109.33 80.37 58.67 110.57 50.53 95.36 50.55 51.08 73.81 44.78 53.38 44.78 45.06 55.69 44.8 48.83 49.69 45.63 45.16 44.94 43.73 43.61 ET 57.28 57.31 57.49 56.91 53.55 57.22 56.03 58.22 59.29 57.1 57.85 58.02 58.19 59.23 58.68 59.79 59.59 55.33 58.79 55.7 55.43 59.64 53.71 59.45 58.37 53.82 58.79 58.27 58.46 58.55 53.85 54.04 55.72 53.95 53.99 PET 60.06 59.96 61.32 59.69 60.14 61.02 60.18 60.97 62.04 61.39 60.56 61.91 62.34 61.94 61.45 62.52 62.12 62.3 61.34 62.66 62.09 62.16 60.75 61.91 60.9 60.82 61.26 60.82 60.97 61.08 60.85 61.04 60.93 60.93 60.96 SW 2186.29 2186.26 2190.13 2220.95 2188.9 2195.08 2178.74 2219.66 2190.12 2174.82 2177.62 2195.12 2162.55 2190.11 2179.47 2350.49 2189.98 2332.47 2219.96 2332.29 2331.11 2360.73 2345.4 2327.32 2345.2 2345.28 2342.91 2345.51 2351.8 2351.69 2345.32 2345.05 2345.21 2344.97 2344.9 Table 5. Continued. Subbasin 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 RB NAME NN South Sas. RSB Oldman RSB Oldman RSB NN Oldman RSB South Sas. RSB Oldman RSB Oldman RSB South Sas. RSB South Sas. RSB Oldman RSB South Sas. RSB Oldman RSB South Sas. RSB Milk RB Oldman RSB Milk RB Oldman RSB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB Milk RB RB: river basin, RSB: river subbasin, N_Hay RB: the modeled subbasins located nearby Hay River basin which are not part of Alberta main river basins. N_Beaver: the modeled subbasins located nearby Beaver River basin which are not part of Alberta main river basins, PCP: precipitation (mm), TMAX: maximum temperature oC), TMIN: minimum temperature (oC), Blue: blue water and is total water yield plus deep aquifer recharge (mm yr-1), DA: deep aquifer recharge (mm yr-1), SW: green water storage (soil water, mm), ET: green water flow (actual evapotransiration, (mm yr-1), PET: potential evapotranspiration (mm yr-1). 78 Appendix II Subbasin number 79 80 Appendix III Water balance components aggregated for major subbasins River basin/sub basin Hay Blue L95PPU ET U95PPU L95PPU SW U95PPU L95PPU PET U95PPU L95PPU DA U95PPU L95PPU WYLD U95PPU L95PPU U95PPU 6.20 14.86 1.28 1.47 59.79 73.21 1.32 2.56 1.56 7.78 1.14 10.88 Peace 45.88 94.55 7.91 8.98 370.54 448.11 8.10 15.58 11.26 51.75 8.85 68.20 Athabasca 50.72 90.02 7.34 8.45 332.81 506.16 7.84 14.68 6.78 31.39 28.30 75.29 Beaver 4.15 8.39 0.77 0.86 33.42 44.06 0.78 1.45 0.99 4.11 1.74 6.14 North Sask. 30.73 49.01 4.32 4.95 200.05 277.09 4.45 7.90 4.59 13.88 19.11 40.97 Red Deer 15.06 23.80 2.41 2.74 91.70 113.81 2.48 4.31 2.35 7.90 8.92 19.40 Bow 8.92 18.56 1.13 1.51 47.94 61.11 1.16 2.36 1.10 4.57 5.68 15.89 Oldman 7.40 12.13 1.15 1.32 42.20 52.82 1.19 2.03 1.01 3.52 4.65 10.15 South Sask. 3.62 5.69 0.95 1.03 33.94 42.30 0.99 1.59 0.63 2.05 2.00 4.54 Milk 1.33 2.55 0.37 0.40 12.59 18.69 0.39 0.61 0.01 0.78 0.82 2.32 100 80 70 60 50 40 30 20 10 Milk South Sask. Oldman Bow Red Deer North Sask. Beaver Athabasca Peace 0 Hay Blue water ( km 3 yr -1) 90 81 Milk South Sask. Oldman 16 Bow Red Deer North Sask. Beaver Athabasca Peace Hay Green water flow ( km 3 yr -1) Milk South Sask. Oldman Bow Red Deer North Sask. Beaver Athabasca Peace Hay Deep aquifer recharge ( km 3 yr -1) 100 90 80 70 60 50 40 30 20 10 0 18 potential ET actual ET 14 12 10 8 6 4 2 0 82 ROB Milk South Sask. Oldman Bow Red Deer 3 yr -1) 90 North Sask. Beaver Athabasca Peace Hay Water yield (km Milk South Sask. Oldman Bow Red Deer North Sask. Beaver Athabasca Peace Hay Green water storage ( km 3) 600 500 400 300 200 100 0 100 based on data from Environment Alberta 80 70 60 50 40 30 20 10 0 83