DocumentCode :
2156172
Title :
Improved evapotranspiration estimates to aid water management practices in the Rio Grande River Basin
Author :
Pinheiro, Ana C T ; Arsenault, Kristi ; Houser, Paul ; Toll, David ; Kumar, Sujay ; Matthews, David ; Stodt, Richard W.
Author_Institution :
Hydrological Sci. Branch, NASA Goddard Space Flight Center, Greenbelt, MD
Volume :
3
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
2123
Abstract :
To improve the efficiency of water management and irrigation scheduling in the Rio Grande River basin, the U.S. Bureau of Reclamation helped create the Agricultural Water Resources Decision Support (AWARDS) system. Through its Evapotranspiration (ET) Toolbox interface, the AWARDS system provides guidance to local farmers on when and where to deliver water to the crops. The ET Toolbox is based on water usage estimates (evapotranspiration and open water evaporation) on a grid cell basis (4 kmtimes4 km). Currently, crop water use estimates are determined using a modified-Penman ET approach. To improve upon this parameterization, we use the Community Land Model (CLM2.0) within the LDAS system downscaled to a 1 km grid cell resolution. Our work aims to improve evapotranspiration and soil moisture estimates in the Rio Grande River basin through the improvement of the CLM2.0 parameterization of surface processes. We specifically intend to assimilate up to four land surface temperature (LST) observations per day from the Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) instruments, at 1 km resolution, into the CLM2.0 land surface model. To verify the performance of the assimilation approach we deploy flux towers at two different sites. We focus our ground data collection on riparian and agricultural areas. Ultimately, our results should improve the daily forecasts of vegetation water requirements and, when integrated into operational decision support tools, aid water resource managers in making flood and drought assessments and predictions
Keywords :
crops; data assimilation; decision support systems; environmental management; evaporation; floods; geophysics computing; irrigation; land surface temperature; rivers; soil; transpiration; water resources; water supply; AWARDS; Agricultural Water Resources Decision Support system; Aqua Moderate Resolution Imaging Spectroradiometer instrument; CLM2.0 land surface model; CLM2.0 parameterization; Community Land Model; ET Toolbox; Evapotranspiration Toolbox interface; LDAS system; LST; MODIS; Penman ETmethod; Rio Grande River Basin; Terra Moderate Resolution Imaging Spectroradiometer instrument; agricultural areas; crop water; daily forecast; data assimilation; drought assessment; flood assessment; flux towers; grid cell basis; ground data collection; integrated system; irrigation scheduling; land surface temperature; local farmers guidance; open water evaporation; operational decision support tools; riparian areas; soil moisture; surface processes; vegetation water requirements; water delivery; water management; water resource manager aids; water usage estimates; Crops; Instruments; Irrigation; Land surface; Land surface temperature; Linear discriminant analysis; MODIS; Rivers; Soil moisture; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370777
Filename :
1370777
Link To Document :
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