HR: 09:45h
AN: H31I-08 [Abstracts]
TI: GRACE-Based Estimates of Terrestrial Freshwater Discharge from Basin to Continental Scales
AU: * Syed, T H
EM: tsyed@uci.edu
AF: University of California-Irvine, 1101 Croul Hall, Dept. of Earth System Science, University of
California, irvine, CA 92697, United States
AU: Famiglietti, J S
EM: jfamigli@uci.edu
AF: University of California-Irvine, 1101 Croul Hall, Dept. of Earth System Science, University of
California, irvine, CA 92697, United States
AU: Chambers, D
EM: chambers@csr.utexas.edu
AF: University of Texas at Austin, Center for Space Research
3925 W. Braker Lane #200, Austin, TX 78759-532, United States
AU: Rodell, M
EM: Matthew.Rodell@nasa.gov
AF: NASA Goddard Space Flight Center, Hydrological Sciences Branch
Code 614.3
NASA's Goddard Space Flight Center, Greenbelt, MD 20771, United States
AB:
Consequences of a rapidly changing climate have become a major concern for scientists and policymakers alike.
It has become increasingly clear that pragmatic, near real-time information on freshwater water flux, at varied
spatial scales, over the globe is of paramount importance in assessing changes in the global water cycle.
Current capabilities for making such assessments are stalled by various issues. Large scale flow diversification
in the deltaic regions, floodplain inundation, direct groundwater flows, drainage into wetlands are some of the
pathways of water outflow that are not registered by the conventional streamgauges. Thus, in-channel
streamflow, often used as a surrogate of net basin outflow, may in reality represent only a part of the net
freshwater discharge and are therefore incomplete for proper budget analysis. Here we present large-scale
estimates of freshwater discharge using Gravity Recovery and Climate Experiment (GRACE)-derived monthly
terrestrial water storage changes in a combined land-atmosphere water mass balance. The computed estimates
of freshwater discharge are subsequently analyzed in the context of global climate and compared with previously
published estimates. This method has been previously tested on the Amazon, Mississippi and several large
Arctic river basins. Results and comparisons to observations indicate that the method has important potential for
global-scale discharge monitoring of combined surface water and submarine groundwater discharge at near-
real time.
DE: 1833 Hydroclimatology
DE: 1836 Hydrological cycles and budgets (1218, 1655)
DE: 1855 Remote sensing (1640)
SC: Hydrology [H]
MN: 2007 Fall Meeting