HR: 0800h
AN: H11B-1262    [Abstracts]
TI: Spatial and Temporal Evolution of Evaporation in a Drying Soil
AU: * Eichinger, W
EM: william-eichinger@uiowa.edu
AF: University of Iowa, 300 Riverside Drive, Iowa City, IA 52242 United States
AU: Nichols, J
EM: jennifer-nichols@uiowa.edu
AF: University of Iowa, 300 Riverside Drive, Iowa City, IA 52242 United States
AU: Cooper, D
EM: dcooper@lanl.gov
AF: Los Alamos National Laboratory, MS 527, Los Alamos, NM 87545 United States
AU: Prueger, J
EM: prueger@nstl.gov
AF: National Soil Tilth Laboratory, 2150 Pammel Drive , Ames, IA 50011 United States
AB: The Los Alamos Scanning Raman Lidar is capable of making spatially resolved estimates of evapotranspiration over an area approaching a square kilometer, with relatively fine (25 meter) spatial resolution, using three dimensional measurements of water vapor concentrations. The method is based upon Monin-Obukhov similarity theory applied to spatially and temporally averaged data. During SMEX02, the instrument was positioned between fields of corn and soybeans. Periodic maps of evapotranspiration rates over the two fields are presented. The maps show the relatively uniform response in the early morning when surface moisture is available and progress through the day as surface water becomes increasingly limited. The change in ET rates between the two crop types is noted as are the spatial patterns as the surface dries non-uniformly.
DE: 1631 Land/atmosphere interactions (1218, 1843, 3322)
DE: 1819 Geographic Information Systems (GIS)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: Fall Meeting 2005