Skip to main content
ARS Home » Pacific West Area » Maricopa, Arizona » U.S. Arid Land Agricultural Research Center » Water Management and Conservation Research » Research » Publications at this Location » Publication #165764
Title: OPTIMAL LAND SURFACE TEMPERATURE ESTIMATION AND ASSIMILATION FOR GLOBAL HYDROLOGICAL APPLICATIONS

Author
item French, Andrew
item HOUSER, PAUL - NASA/GSFC GREENBELT MD
item PINHEIRO, ANA - NASA/GSFC GREENBELT MD
item MENG, JESSE - NASA/GSFC GREENBELT MD

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 7/29/2004
Publication Date: 8/15/2004
Citation: French, A.N., Houser, P.R., Pinheiro, A., Meng, J. 2004. Optimal land surface temperature estimation and assimilation for global hydrological applications. Meeting Abstract. 2004 ERSDAC CD Rom (unpaginated).

Interpretive Summary:

Technical Abstract: Accurate land surface temperature estimation is a critical component of the global hydrological cycle. Using remote sensing observations of land surface temperature, spatial distributions can be retrieved. However, retrieval of accurate diurnal cycle temperatures is a difficult task. Current remote sensing platforms individually have either good spatial resolution or good temporal resolution, but not both. An upcoming project seeks to achieve both kilometer scale resolutions and hourly observations by merging 4x daily MODIS with hourly GOES geostationary data. Disaggregated and temporally interpolated temperatures will be inferred with the help of MODIS vegetation index observations. The utility of this merging procedure will be tested at regional scales using the hydrological model, CLM2, and a data assimilation procedure. Results from these tests will be useful for extending the merging procedure to global scales.