Basin scale estimates of evapotranspiration using GRACE and other observations

Geophysical Research Letters

Volumn 31, Issue 20, 2004, Pages

  Rodell, Matthew ^a   Famiglietti, J S ^b   Chen, J ^c   Seneviratne, S I ^a   Viterbo, P ^d   Holl, S ^b   Wilson, C R ^e  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c The University of Texas at Austin   (United States)

^d European Centre for Meadium Range Weather Forecasts   (United Kingdom)

^e UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

1640 Global change: Remote sensing; 1818 Hydrology: Evapotranspiration; 1836 Hydrology: Hydrologic budget (1655); 3337 Meteorology and atmospheric dynamics: Numerical modeling and data assimilation

Indexed keywords

CLIMATOLOGY; HYDROLOGY; MATHEMATICAL MODELS; PRECIPITATION (METEOROLOGY); RIVERS; RUNOFF; SATELLITE OBSERVATORIES;

LAND SURFACE; MISSISSIPPI RIVER; WATER STORAGE;

EVAPOTRANSPIRATION;

ESTIMATION METHOD; EVAPOTRANSPIRATION; REMOTE SENSING; RIVER BASIN; SATELLITE DATA;

MISSISSIPPI BASIN; NORTH AMERICA; UNITED STATES; WESTERN HEMISPHERE; WORLD;

EID: 11844290639     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004GL020873     Document Type: Article

References (28)

1. Bosilovich, M. G., and S. D. Schubert (2002), Water vapor tracers as diagnostics of the regional hydrologic cycle, J. Hydrometeorol., 3 149-165.
2. Brubaker, K. L., D. Entekhabi, and P. S. Eagleson (1993), Estimation of continental precipitation recycling, J. Clim., 6, 1077-1089.
3. Brutsaert, W., and M. B. Parlange (1998), Hydrologic cycle explains the evaporation paradox, Nature, 396, doi: 10.1038/23845.
4. Derber, J. C., D. F. Parrish, and S. J. Lord (1991), The new global operational analysis system at the National Meteorological Center, Weather Forecasting, 6, 538-547.
5. Dingman, S. L. (2001), Physical Hydrology, Prentice-Hall, Englewood Cliffs, N. J.
6. Dirmeyer, P. A., A. J. Dolman, and N. Sato (1999), The pilot phase of the global soil wetness project, Bull. Am. Meteorol. Soc., 80, 851-878.
7. Ek, M. B., K. E. Mitchell, Y. Lin et al. (2003), Implementation of the upgraded Noah land-surface model in the NCEP operational mesoscale Eta model, J. Geophys. Res., 108(D22), 8851, doi:10.1029/2002JD003296.
8. Eltahir, E. A. B., and R. L. Bras (1996), Precipitation recycling, Rev. Geophys., 34, 367-378.
9. Jiang, L., and S. Islam (2001), Estimation of surface evaporation map over southern great plains using remote sensing data, Water Resour. Res., 37, 329-340.
10. Kiehl, J. T., and K. E. Trenberth (1997), Earth's annual global mean energy budget, Bull. Am. Meteorol. Soc., 78, 197-208.
11. Koster, R. D., M. J. Suarez, and M. Heiser (2000), Variance and predictability of precipitation at seasonal-to-interannual timescales. J. Hydrometeorol., 1, 26-46.
12. Kustas, W. P., G. R. Diak, and J. M. Norman (2001), Time difference methods for monitoring regional-scale heat fluxes with remote sensing, in Land Surface Hydrology, Meteorology and Climate: Observations and Modeling, Water Sci. Appl., vol. 3, edited by V. Lakshmi, J. Albertson. and J. Schaake, pp. 15-30. AGU. Washington, D. C.
13. Norman, J. M., W. P. Kustas, J. H. Prueger, and G. R. Diak (2001), Surface flux estimation using radiometric temperature: A dual-temperaturedifference method to minimize measurement errors. Water Resour. Res., 36, 2263-2274.
14. Ohmura, A., and M. Wild (2002), Is the hydrological cycle accelerating?, Science, 298, 1345-1356.
15. Rasmusson, E. M. (1968), Atmospheric water vapor transport and the water balance of North America. II. Large-scale water balance investigations, Mon. Weather Rev., 96, 720-734.
16. Rodell, M., and J. S. Famiglietti (1999), Detectability of variations in continental water storage from satellite observations of the time dependent gravity field, Water Resour. Res., 35, 2705-2723.
17. Rodell, M., and J. S. Famiglietti (2001), An analysis of terrestrial water storage variations in Illinois with implications for the Gravity Recovery and Climate Experiment (GRACE), Water Resour. Res., 37, 1327-1340.
18. Rodell, M., and J. S. Famiglietti (2002), The potential for satellite-based monitoring of groundwater storage changes using GRACE: The High Plains aquifer, central U.S., J. Hydrol., 263, 245-256.
19. Rodell, M., et al. (2004), The Global Land Data Assimilation System, Bull. Am. Meteorol. Soc., 85, 381-394.
20. Roderick, M. L., and G. D. Farquhar (2002), The cause of decreased pan evaporation over the past 50 years, Science, 298, 1410-1412.
21. Seneviratne, S., P. Viterbo, D. Lüthi, and C. Schär (2004), Inferring changes to terrestrial water storage using ERA-40 reanalysis data: The Mississippi River basin, J. Clim., 17, 2039-2057.
22. Swenson, S., J. Wahr, and P. C. D. Milly (2003), Estimated accuracies of regional water storage variations inferred from the Gravity Recovery and Climate Experiment (GRACE), Water Resour Res., 39(8), 1223. doi: 10.1029/2002WR001808.
23. Tapley, B. D., S. Bettadpur, M. Watkins, and C. Reigber (2004a), The Gravity Recovery and Climate Experiment: Mission overview and early results, Geophys. Res. Lett., 31, L09607, doi:10.1029 /2004GL019920.
24. Tapley, B. D., S. Bettadpur, J. C. Ries et al. (2004b), GRACE measurements of mass variability in the Earth system, Science, 305 503-505.
25. Wahr, J., M. Molenaar, and F. Bryan (1998), Time-variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE, J. Geophys. Res., 103, 30,205-30,230.
26. Wahr, J., S. Swenson, V. Zlomicki, and I. Velicogna (2004), Time-variable gravity from GRACE: First results, Geophys. Res. Lett., 31, L11501, doi: 10.1029/2004GL019779.
27. Xie, P., and P. A. Arkin (1997), Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates and numerical model outputs, Bull. Am. Meteorol. Soc., 78, 2539-2558.
28. Yeh, P. J. F., M. Irizarry, and E. A. B. Eltahir (1998), Hydroclimatology of Illinois: A comparison of monthly evaporation estimates based on atmospheric water balance and soil water balance, J. Geophys. Res., 103, 19,823-19,837.