HR: 1340h
AN: B33B-1206 [Abstracts]
TI: High-resolution evapotranspiration estimates for California using satellite imagery and weather station measurements and the Weather Research Forecasting (WRF) model
AU: * Matthias, F
EM: mfalk@cstars.ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, 467 Hart Hall, University of
California, Davis, One Shields Ave, Davis, CA 95616, United States
AU: Hart, Q J
EM: qjhart@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, 467 Hart Hall, University of
California, Davis, One Shields Ave, Davis, CA 95616, United States
AU: Ustin, S L
EM: slustin@ucdavis.edu
AF: Center for Spatial Technologies and Remote Sensing, 467 Hart Hall, University of
California, Davis, One Shields Ave, Davis, CA 95616, United States
AB:
Spatially distributed potential Evapotranspiration, ET0, has been calculated to produce daily and hourly ET0
maps for the State of California at 2 km2 resolution. Hourly NOAA GOES imager satellite visible data are
used to predict daily radiation. These are combined with interpolated California Irrigation Management
Information System (CIMIS) weather station meteorological data for temperature, wind speed and humidity to
satisfy the Penman-Monteith ET0 equation.
In the next step, we investigate the use of the Weather Research Forecasting (WRF) model to improve the spatial
estimates of daily evapotranspiration for the state of California. CIMIS real-time weather station and real-time
satellite data are integrated into a prognostic version of the WRF model using its data nudging scheme. This
paper we compares spatially interpolated climate parameters and evapotranspiration to the output of WRF with
and without data assimilation of CIMIS data. The research assists California's Department of Water Resources
to better monitor water use and water management. In addition to the scientific advances in understanding short-
term weather systems and their impacts on plant resources, there is considerable societal importance, given
impacts of current droughts and predictions for significantly reduced winter snow packs in California under some
climate change scenarios.
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0466 Modeling
DE: 1655 Water cycles (1836)
SC: Biogeosciences [B]
MN: 2007 Fall Meeting