1. Advances in Small Catchment Hydrology Measurement Methods
Investigation of the variety of mechanisms through which small catchments transmit water and chemical
fluxes has required field scientists to develop a host of prototype instruments, often by combining existing
technology in innovative ways. Typically, the goals of the researcher are to develop equipment to make a
measurement for which no instrument is commercially available, to modify such equipment for reliable use
under field conditions or to decrease per sensor cost to increase the spatial coverage of measurement. This
session focuses on the successes and failures of the measurement approaches employed by the hydrologic
field research community.
David Chandler, Dept. of Plants, Soils and Biometeorology, 4820 Old Main Hill, Logan, UT 84322-4820.
James McNamara, Dept. of Geosciences, 1910 University Dr., Boise, ID 83725. 208-426-1354
2. Groundwater - Surface Water Interaction: Linking Disciplines
The role played by groundwater - surface water interaction has been increasingly recognized as important to
our understanding of physical and biogeochemical processes in the hyporheic zone, aquatic ecology, and
conjunctive groundwater - surface water use. This session invites abstracts that deal with multi-disciplinary
approaches to resolving field characterization and the implications of groundwater - surface water
interaction, including mathematical description.
Index terms: groundwater, surface water, interaction, hyporheic
Kerry T.B. MacQuarrie, Ph.D., P.Eng.
Canada Research Chair in Groundwater-Surface Water Interactions
Associate Professor, Department of Civil Engineering
University of New Brunswick
P.O. Box 4400, Fredericton
New Brunswick, E3B 5A3
email: [email protected]
phone: (506) 453-4521
fax: (506) 453-3568
Cathy Ryan, Ph.D., P.Geol, P.Eng
Associate Professor, Department of Geology and Geophysics
University of Calgary
Calgary, Alberta, T2N 1N4
email: [email protected]
phone: (403)220-2793
fax: (403) 284-0074
3. Integrated Modeling for Hydrologic Decision Making and Policy Analysis
Water resources managers worldwide are being faced with increasing and competing demands on a limited
and more uncertain resource as populations grow, and climate varies. Proper hydrologic decision-making
and policy analysis requires that all available knowledge about the physical and behavioral (social) aspects of
the water resources system be brought to bear. The tightly coupled nature of the physical
(hydrologic/ecological) and behavioral/economic systems, the physical constraints on availability and
movement of water, and the complexities of the institutional and legal system overlays, suggest that
integrated basin-scale modeling is necessary to provide decision makers with realistic assessments of the first
and higher order implications of possible decisions and actions. Further, integrated models have the
potential to provide assessments of uncertainty and risk. This session invites presentations on all aspects of
integrated catchment management involving the use of models, the social and technical challenges involved,
and lessons learned.
Hoshin Gupta (SAHRA/HWR, The University of Arizona)
George Leavesley (USGS)
Everett Springer (LANL)
David Brookshire (UNM)
David Goodrich (USDA-ARS)
Vince Tidwell (SNL)
4. Hydrology and Water Resources in the Western U.S.
Many of the fastest growing cities in the western U.S. are located in arid or semi-arid environments and
depend on surface water originating from mountainous regions sometimes located hundreds of kilometers
away. Accurate short (days to weeks), seasonal (weeks to months), and long (months to years) term
forecasts of water supply from these mountainous areas is critical for water resource planning, design, and
operations. This session will cover a broad range of topics related to improving water supply forecasts in the
western U.S. including operational streamflow forecasting, land surface modeling and process, climate
change, and the development and evaluation of spatial and temporal distribution of important hydrologic
variables (e.g., precipitation, snow water equivalent, soil moisture, evaporation, transpiration, etc.). This will
be advertised as a posters-only session.
Douglas P. Boyle, Department of Hydrologic Sciences, Desert Research Institute, University and
Community College System of Nevada, 2215 Raggio Parkway, Reno, NV 89512-1095,
[email protected]
Steven L. Markstrom, U.S. Geological Survey, Box 25046, MS 412, DFC, Denver CO 80225,
[email protected]
Thomas Pagano, National Water and Climate Center, Natural Resources Conservation Services, U.S.
Department of Agriculture, 101 SW Main Suite 1600, Portland, OR 97204,
[email protected]
5. Observations and Modeling of Land Surface Hydrological Processes
Sponsor: Hydrology
CoSponsor: Atmospheric Sciences
Convener: Venkat Lakshmi
University of South Carolina
701 Sumter Street, Department of Geological Sciences
Columbia, SC29208USA
803 777 3552
[email protected]
Anthony Cahill
Texas A & M
3136 TAMU Department of Civil Engineering
College Station, TX77843-3136USA
[email protected]
Description: Numerous studies have resulted in observations from field experiments to study the dynamics of
land surface behavior; numerical modeling of the evolution of land surface response to solar heating and
precipitation; the comparison of simulations to observed quantities from field experiments; and the use of
satellite remote sensing data to both drive and validate hydrological models. It is widely believed that the
combination of field observations and satellite data with hydrological models through data assimilation or
other procedures will produce improved estimates of hydrologic fluxes and energy budgets, soil moisture,
runoff, streamflow, surface temperature, and latent, sensible ground heat, and net radiation fluxes. Abstracts
on the above topics are encouraged.
6. Stream and wetlands chemical variability in time and space: measuring and modeling diel, event
and seasonal scale processes
Tom Torgersen, UConn
George Hornberger (likely) UVirginia
Joint with
Biogeosciences (B), Hydrology (H)
Numerous recent studies have defined hourly changes in stream chemistry due to complex biogeochemical
processes in the water and the streambed. Photosynthetic O2 and CO2 variations alter pH and cause
desorption of metals, photo-reduction causes metal variations, large temperature changes drive metal
desorption. In wetlands, often viewed as chemical filters, diel stratification causes nutrient limitation in the
surface and anoxia at depths of 1m. This is drives the exchange of metals and CO2 between the water and
the sediment. On the slightly longer timescale (event and seasonal) changes in stream chemistry reflect
varying sources of water (groundwater, subsurface stormflow, overland flow runoff) yield complex c-Q
diagrams whose clockwise or couterclockwise rotation appears to be controlled by reaction time vs. 'soil'
residence time. Such complexities are also reflected in seasonal c-Q observations. This strong temporal and
spacial variation in water chemistry and flow source is critical in the interpretation of surface water flow and
water quality and in the net resultant downstream chemical export. This critical interaction of
biogeochemistry and transport directly impacts the design, implementation and operation of surface water
observatories (e.g CUAHSI).
1860, 1871, 1890, 1894, 1615, 1045, 1040, 1655,
7. Incorporating Observational Uncertainties into the Evaluation of Hydrological Models
Jim Freer
Dept. of Environmental Sciences (Room A532)
Lancaster University, Bailrigg
Lancaster, LANCS, LA1 4YQ, UK
Tel +44 (0)1524 593563 Fax +44 (0)1524 593985
Direct Computer FAX +44 (0)1524 525171
Jake Peters
Contributions are invited that explore novel ways in which we directly incorporate data (e.g., site
parameterization) uncertainties (both temporal and spatial) in the evaluation of hydrological models. Issues
that we'd like explore in this session include but are not limited to: (a) the propagation of uncertainties in
input data through hydrologic models to output forecasting uncertainties; (b) techniques for assessing the
data uncertainties in comparison with model simulated output, especially those techniques that explore the
use of diverse data sets some of which may be used to characterize processes over a range of effective spatial
scales; (c) the formulation of 'objective functions' that reflect data uncertainties and that account for the form
of the errors, where such error structures may have non-stationary properties; (d) methods that combine the
above techniques and uncertainties in initial boundary conditions to more explicitly understand model
structure errors; and (e) techniques for incorporating extreme events, which typically have large
measurement uncertainties, in model evaluation without the introduction of large bias. Both oral and poster
contributions addressing one or more of the above-mentioned issues are solicited.