CPASW March 23, 2006 INTEGRATED FORECAST AND MANAGEMENT IN NORTHERN CALIFORNIA – INFORM A Demonstration Project Present: Eylon Shamir HYDROLOGIC RESEARCH CENTER GEORGIA WATER RESOURCES INSTITUTE Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org INFORM: Integrated Forecast and Management in Northern California Hydrologic Research Center & Georgia Water Resources Institute Sponsors: CALFED Bay Delta Authority California Energy Commission National Oceanic and Atmospheric Administration Collaborators: California Department of Water Resources California-Nevada River Forecast Center Sacramento Area Flood Control Agency U.S. Army Corps of Engineers U.S. Bureau of Reclamation Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Vision Statement Increase efficiency of water use in Northern California using climate, hydrologic and decision science Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Goal and Objectives Demonstrate the utility of climate and hydrologic forecasts for water resources management in Northern California Implement integrated forecast-management systems for the Northern California reservoirs using real-time data Perform tests with actual data and with management input Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Major Resevoirs in Nothern California Application Area 41.5 Capacity of Major Reservoirs Sacramen to Ri ver (million acre-feet): 41 Pit River Trinity - 2.4 Shasta - 4.5 Oroville - 3.5 Folsom - 1 Trinity Degrees North Latitude Trinity 40.5 Shast a Shasta Trinity River Feath er Ri ver 40 39.5 O rovil le Oroville N. Fo rk Ame rican River 39 F olsom Folsom 38.5 123.5 123 122.5 122 121.5 121 120.5 Degrees West Longitude 0 500 1000 1500 2000 2500 3000 3500 4000 Elevation (meters) Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org The hydrologic objectives complexity Objectives Comply with water supply to the delta Flood mitigation and control Water resources (2/3 of California potable water) Fishery (Salmon hatching) (manage water temperature) Agriculture in the Central Valley (7 million acres of irrigated AG) Hydro power generation In-stream ecology Recreation Issues Increasing Demand (California‘s Growing economy) Aging infrastructure Climate Change in the Sierra Nevada Environmental Regulations Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Utility of hydrologic forecast: A retrospective study for Folsom Lake Compare between: current operational rules (nowcast with no forecast) and 1970-1992 forecast was generated every 5-day with daily resolution for 2-month horizon from: NWS procedure for Ensemble Streamflow Prediction (ESP) Monthly estimates of precipitation and temperature from two Global Climate Models (GCM) a) Canadian model (CGCM) b) Max Plank Institute of Meteorology (ECHAM) Perfect forecast scenario (retrospective) data Georgakakos et al. 2005 EOS Carpenter and Georgakakos 2001 J. of Hydrology Yao and Georgakakos 2001 J. of Hydrology Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org ESP Results of operation based on rigid operational rules 0 70 10 PERFECT 20 ECHAM 30 CGCM 40 ESP 50 OPERATIONAL ENERGY VALUE (M$) 60 0 Carpenter and Georgakakos (2001); Yao and Georgakakos (2001); Georgakakos et al., (2004) Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org PERFECT 200 ECHAM 400 CGCM 600 ESP 0 800 OPERATIONAL MAXIMUM FLOOD DAMAGE (M$) 2 PERFECT 4 dependent on: the quality of forecast and the decision ECHAM 6 Benefit CGCM 8 1000 ESP SPILLAGE (BCF) 10 Benefits For Folsom Reservoir Feasibility Studies OPERATIONAL 12 The problem Synoptic and climatic forecast contain uncertainty The effective use of these needs to explicitly account for the uncertainty both in the forecast and the operational management Reservoir is operated based on nowcast information and under institutional constrains Rigid rules that provide list of actions based on current information Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Demonstration Concept Fixed Operation Real Time Input Rules ACTUAL System VIRTUAL Characteristics Flexible Trade-offs Measurable Benefits Eylon Shamir: EShamir@hrc-lab.org Other Benefits Decision Maker www.hrc-web.org Measurable Other Benefits Benefits The modeling Components Global Forecast System (GFS) Climate Forecasts System (CFS) (1° x 1°) 8 traces, 6-hour time step, Updated 4-time per day 0-16 days lead time 16-day to-9-month lead time Updated daily Downscale Precipitation Orographic model (10 x 10) km Radiative transfer Surface temperature Conditional ESP 16-day to 9-month Ensembles 12-hr/1-day resolution Semi distributed Snow and Hydrologic model Ensemble Hydrologic Model Input Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org DSS – Multi Objective and temporal scale Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Precipitation Downscaling – Performance Measures Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Temperature Downscaling - Tests Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Examples of Hydrologic Performance Analysis – Time Series OROVILLE DAILY FLOW - CMS 1000 400 500 200 0 0 50 100 150 200 250 Water Year 1961 300 350 3000 0 0 50 100 150 200 250 Water Year 1962 300 350 0 50 100 150 200 250 Water Year 1964 300 350 0 50 100 150 200 250 Water Year 1966 300 350 0 50 100 150 200 250 Water Year 1968 300 350 0 50 100 150 200 250 Water Year 1970 300 350 400 2000 200 1000 CMS 0 0 50 100 150 200 250 Water Year 1963 300 350 0 4000 400 2000 200 0 0 50 100 150 200 250 Water Year 1965 300 350 1500 0 1000 1000 500 500 0 0 50 100 150 200 250 Water Year 1967 300 350 3000 3000 2000 2000 1000 1000 0 0 0 50 100 150 200 250 Water Year 1969 Eylon Shamir: EShamir@hrc-lab.org 300 350 0 www.hrc-web.org Examples of Hydrologic Performance Analysis – Monthly Climatology 0.5 0.5 Observed Simulated 0.4 0.4 0.35 0.35 Folsom 0.3 0.25 0.2 0.2 0.1 0.1 0.05 0.05 4 6 8 Month (Oct through Sep) 10 0 12 0.5 4 6 8 Month (Oct through Sep) 10 12 Observed Simulated 0.45 0.4 0.4 Trinity 0.3 0.35 Montly fraction 0.35 0.25 0.2 0.25 0.2 0.15 0.1 0.1 0.05 0.05 2 4 6 8 Month (Oct through Sep) Eylon Shamir: EShamir@hrc-lab.org 10 12 Shasta 0.3 0.15 0 2 0.5 Observed Simulated 0.45 Montly fraction 0.25 0.15 2 Oroville 0.3 0.15 0 Observed Simulated 0.45 Montly fraction Montly fraction 0.45 0 2 4 6 8 Month (Oct through Sep) www.hrc-web.org 10 12 SAMPLE RELIABILITY DIAGRAMS Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Conclusion of Hydrologic Performance Analysis ¾INFORM hydrology model performed well and captured the hydrologic response with respect to timing and magnitude, and for various temporal scales ¾Performance analogous to what was found for the operational CNRFC hydrology forecast model running with the same parameters ¾Ensemble Streamflow Predictions (ESP) have been validated over the historical horizon for all reservoir sites Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Sample of INFORM Product Global Forecast System (GFS) Eylon Shamir: EShamir@hrc-lab.org Ensemble Streamflow Prediction (ESP) www.hrc-web.org Web Dissemination Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Forecast issued: March 9, 2006 22:00 PST Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org Forecast issued: March 9, 2006 22:00 PST Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org FUTURE PLANS ¾INFORM quasi-operational testing during Winter 2005 and performance assessment ¾Use the INFORM structure for assessing climate and demand change impacts on management for conservation, flood control, downstream objectives and energy production ¾What-if simulations for training, preparation and modification of current operational procedures Eylon Shamir: EShamir@hrc-lab.org www.hrc-web.org