HR: 1340h
AN: H43A-0968 [Abstracts]
TI: Effects of Climate Variability on Water Storage in the Colorado River Basin
AU: * Hurkmans, R T
EM: ruud.hurkmans@wur.nl
AF: Hydrology and Quantitative Water Management, Wageningen University, P. O. Box 47,
Wageningen, 6700 AA, Netherlands
AU: Durcik, M
EM: mdurcik@hwr.arizona.edu
AF: Hydrology and Water Resources, University of Arizona, 1133 E. James E. Rogers Way,
Tucson, AZ 85721, United States
AU: Hasan, S
EM: shaakeel.hasan@wur.nl
AF: Hydrology and Quantitative Water Management, Wageningen University, P. O. Box 47,
Wageningen, 6700 AA, Netherlands
AU: Troch, P A
EM: patroch@hwr.arizona.edu
AF: Hydrology and Water Resources, University of Arizona, 1133 E. James E. Rogers Way,
Tucson, AZ 85721, United States
AB:
The Colorado river is one of the most important sources of surface water in the Western United States and it is
vital to drinking water supplies in the Southwestern United States. Estimating intra- and inter-annual variability of
water storage in the basin is important for sustainable water management. Several methods to estimate basin
scale terrestrial water storage (TWS) change were applied to the Colorado River basin. The methods reported
here are the Basin-Scale Water Balance (BSWB) method and distributed hydrological modeling. The BSWB-
method uses atmospheric moisture convergence and precipitable water from reanalysis data, together with
naturalized streamflow. We use two different reanalysis datasets, i.e., the European Center for Medium-range
Weather Forecasts dataset, spanning the period from 1958 to 2005, and the North American Regional
Reanalysis (NARR), spanning the period from 1979 to 2005. The land surface hydrologic model (VIC: Variable
Infiltration Capacity) is forced with gridded meteorological observations spanning the period between 1949 and
2005. The three TWS-change estimates show, apart from a strong annual cycle, a longer, near-decadal cycle.
This suggests an impact of long-term climate variability. The hydrological regime in the Colorado basin has been
linked to various indices of climate variability. Examples are the El-Nino/Southern Oscillation (ENSO), which is the
most important and the best predictable one, and the less predictable Pacific Decadal Oscillation (PDO). In this
study, a range of climate variability indices is investigated. When annual cycles are filtered out, especially ENSO,
the East-Pacific/North-Pacific pattern and Scandinavia pattern seem to be correlated to the TWS-change signal in
the Colorado basin, although this correlation is highest for the BSWB-NARR TWS-estimate. The combined effect
of the climate variability modes influencing TWS in the Colorado basin is further examined. Although it is difficult
to link a single climate index to TWS changes in the basin, investigating the effects of the combination of indices
affecting TWS can potentially improve its predictability, contributing to sustainable water management in the
region.
DE: 1807 Climate impacts
DE: 1833 Hydroclimatology
DE: 1880 Water management (6334)
SC: Hydrology [H]
MN: 2007 Fall Meeting