Estimating the water budget of major US river basins via remote sensing

Nine satellite-based products, each of which provides information about land surface water budget terms, are used to estimate seasonal and annual variations in the water budget of the major river basins of the conterminous USA from 2003 to 2006. The remotely sensed terms are compared with gridded gauge precipitation, and estimates of evapotranspiration (E) and total water storage (TWS) derived from the Variable Infiltration Capacity (VIC) macroscale hydrology model. Among the remote sensing estimates, precipitation has the largest uncertainties. In general, apparent errors for E and TWS show substantial spatial variations, but the consistencies among these remote sensing products are greater than among precipitation products, possibly due in part to similarities in methodology, especially for TWS. Inferred run-off (as a residual of remote sensing estimates of precipitation, E, and TWS) is generally overestimated, due both to excessive precipitation and underestimation of combined E and terrestrial water storage change (TWSC) from remote sensing.

[1]  D. Lettenmaier,et al.  Streamflow simulation for continental‐scale river basins , 1997 .

[2]  Kenneth E. Mitchell,et al.  Eta model estimated land surface processes and the hydrologic cycle of the Mississippi basin , 2003 .

[3]  D. Lettenmaier,et al.  Satellite‐based near‐real‐time estimation of irrigated crop water consumption , 2009 .

[4]  Eric F. Wood,et al.  Application of a macroscale hydrologic model to estimate the water balance of the Arkansas-Red River Basin , 1996 .

[5]  S. Kanae,et al.  Global Hydrological Cycles and World Water Resources , 2006, Science.

[6]  E. Wood,et al.  Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter , 2006 .

[7]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[8]  D. Lettenmaier,et al.  Evaluation of the land surface water budget in NCEP/NCAR and NCEP/DOE reanalyses using an off‐line hydrologic model , 2001 .

[9]  Eric F. Wood,et al.  Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA , 2010 .

[10]  Naota Hanasaki,et al.  A reservoir operation scheme for global river routing models , 2006 .

[11]  Paul R. Ehrlich,et al.  Human Appropriation of Renewable Fresh Water , 1996, Science.

[12]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[13]  Eric F. Wood,et al.  Predicting the Discharge of Global Rivers , 2001, Journal of Climate.

[14]  Robert F. Adler,et al.  Estimation of Monthly Rainfall over Japan and Surrounding Waters from a Combination of Low-Orbit Microwave and Geosynchronous IR Data , 1993 .

[15]  D. Chambers.  Evaluation of new GRACE time‐variable gravity data over the ocean , 2006 .

[16]  Phillip A. Arkin,et al.  An Intercomparison and Validation of High-Resolution Satellite Precipitation Estimates with 3-Hourly Gauge Data , 2009 .

[17]  D. Lettenmaier,et al.  Estimation of the Surface Water Budget of the La Plata Basin , 2009 .

[18]  Matthew F. McCabe,et al.  Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies , 2008 .

[19]  Dennis P. Lettenmaier,et al.  Long-Term Climate and Derived Surface Hydrology and Energy Flux Data for Mexico: 1925–2004 , 2007 .

[20]  C. Daly,et al.  A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .

[21]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[22]  S. Sorooshian,et al.  Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks , 1997 .

[23]  J. Janowiak,et al.  CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .

[24]  Bart Nijssen,et al.  Eegional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model , 1998 .

[25]  D. Lettenmaier,et al.  Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification , 1996 .

[26]  D. Lettenmaier,et al.  Water budget record from variable infiltration capacity (VIC) model , 2010 .

[27]  Dag Lohmann,et al.  A large‐scale horizontal routing model to be coupled to land surface parametrization schemes , 1996 .

[28]  Douglas A. Miller,et al.  GCIP water and energy budget synthesis (WEBS) , 2002 .

[29]  T. Oki,et al.  Dynamics of terrestrial water storage change from satellite and surface observations and modeling. , 2010 .

[30]  D. Lettenmaier,et al.  Hydrologic effects of land and water management in North America and Asia: 1700–1992 , 2006 .

[31]  C. Revenga,et al.  Fragmentation and Flow Regulation of the World's Large River Systems , 2005, Science.

[32]  T. Schmugge,et al.  Remote sensing in hydrology , 2002 .

[33]  D. Lettenmaier,et al.  Twentieth-Century Drought in the Conterminous United States , 2005 .

[34]  C. Daly,et al.  A knowledge-based approach to the statistical mapping of climate , 2002 .

[35]  Dennis P. Lettenmaier,et al.  Variable infiltration capacity cold land process model updates , 2003 .

[36]  S. Seneviratne,et al.  Basin scale estimates of evapotranspiration using GRACE and other observations , 2004 .

[37]  C. Vörösmarty,et al.  Anthropogenic Disturbance of the Terrestrial Water Cycle , 2000 .

[38]  S. Running,et al.  Regional evaporation estimates from flux tower and MODIS satellite data , 2007 .

[39]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[40]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[41]  Dennis P. Lettenmaier,et al.  Hydrology: Water from on high , 2006, Nature.

[42]  M. Kanamitsu,et al.  Surface water characteristics in NCEP global spectral model and reanalysis , 1999 .

[43]  E. Wood,et al.  A simulated soil moisture based drought analysis for the United States , 2004 .

[44]  S. Sorooshian,et al.  Evaluation of PERSIANN system satellite-based estimates of tropical rainfall , 2000 .

[45]  K. Mitchell,et al.  The Operational Eta Model Precipitation and Surface Hydrologic Cycle of the Columbia and Colorado Basins , 2005 .

[46]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[47]  Jennifer C. Adam,et al.  Evaluation of surface water fluxes of the pan‐Arctic land region with a land surface model and ERA‐40 reanalysis , 2006 .

[48]  M. Mccabe,et al.  Closing the terrestrial water budget from satellite remote sensing , 2009 .

[49]  Surface Water Monitor : An experimental platform for national hydrologic assessment and prediction , 2008 .

[50]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

[51]  B. Sohn,et al.  Use of Numerical Forecasts for Improving TMI Rain Retrievals over the Mountainous Area in Korea , 2008 .

[52]  J. Monteith.  Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.