HR: 09:00h
AN: H11A-05    [PDF]
TI: Comparing the Performances of Common Land Model (CLM2) and Other Land Surface Schemes at Regional Scale (Oklahoma)
AU: * Park, G
EM: gihyeonp@uci.edu
AF: Department of Civil and Environmental Engineering Univeristy of California, Irvine, E/4130 Engineering Gateway, Irvine, CA 92697-2175 United States
AU: Imam, B
EM: bisher@hwr.arizona.edu
AF: Department of Civil and Environmental Engineering Univeristy of California, Irvine, E/4130 Engineering Gateway, Irvine, CA 92697-2175 United States
AU: Gao, X
EM: gao@hwr.arizona.edu
AF: Department of Civil and Environmental Engineering Univeristy of California, Irvine, E/4130 Engineering Gateway, Irvine, CA 92697-2175 United States
AU: Sorooshian, S
EM: soroosh@uci.edu
AF: Department of Civil and Environmental Engineering Univeristy of California, Irvine, E/4130 Engineering Gateway, Irvine, CA 92697-2175 United States
AB: The newly developed Common Land Model (CLM2) is one of the most complex land surface models among others and its performance needs to be evaluated with observations. The main goal of this study is to examine CLM2 in estimating soil moisture and runoff at regional scales. NASA Land Data Assimilation System (LDAS) is currently processing three land surface model runs (Mosaic, Variable Infiltration capacity model (VIC), and NOAH), except CLM2, over North America with 1/8-degree spatial resolution and hourly temporal resolution, which will be referenced in this study. The land surface models, CLM2 and VIC, are run and compared over the Oklahoma region with different rainfall data sets such as rain-gauge data, and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) at 3 hourly and 1/8 degree resolutions. The Oklahoma region is chosen for this study because it has a well-defined observation network for water and energy exchanges including soil moisture contents, and relatively homogeneous topography. The IGBP vegetation classification and STASCO soil data are used to represent the land surface characteristics. This study is intended to extend the LDAS study, but is focusing on analyzing the effects of hydrological processes in current land surface models.
DE: 1800 HYDROLOGY
DE: 1854 Precipitation (3354)
DE: 1860 Runoff and streamflow
DE: 1866 Soil moisture
DE: 3319 General circulation
SC: Hydrology [H]
MN: 2003 Fall Meeting