Skip to main content
Article
Soil moisture in a regional climate model: Simulation and projection
Geophysical Research Letters
  • Zaitao Pan, Iowa State University
  • Raymond W. Arritt, Iowa State University
  • William J. Gutowski, Jr., Iowa State University
  • Eugene S. Takle, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
8-1-2001
DOI
10.1029/2000GL012172
Abstract

Regional climate simulations driven by three sets of initial and lateral boundary conditions—analyzed observations, GCM control climate, and GCM enhanced greenhouse-gas scenario climate—are used to assess model accuracy in predicting soil moisture and to examine changes in soil moisture in the scenario climate. Simulated soil moisture does not show noticeable drift during the 10-year simulations. Observed and simulated soil moisture for Illinois and Iowa correspond reasonably well for the top 10 cm soil layer but a consistent low bias is present in the top 1 m. Growing season depletion of soil water is simulated well but recharge after growing season is slower than observed, at least in part due to underprediction of precipitation in autumn. This suggests that improvements in simulating soil moisture depend greatly on improvements in simulating precipitation. The climate change scenario produces drier soil in the top 10 cm during winter but wetter top soil in warm seasons because of greater precipitation, while top l m soil is wetter in all seasons.

Comments

This article is from Geophysical Research Letters 28 (2001): 2947–2950, doi:10.1029/2000GL012172. Posted with permission.

Copyright Owner
American Geophysical Union
Language
en
File Format
application/pdf
Citation Information
Zaitao Pan, Raymond W. Arritt, William J. Gutowski and Eugene S. Takle. "Soil moisture in a regional climate model: Simulation and projection" Geophysical Research Letters Vol. 28 Iss. 15 (2001) p. 2947 - 2950
Available at: http://works.bepress.com/william-gutowski/63/