Author
Flanagan, Dennis | |
Meyer, Charles | |
YU, B - GRIFFITH UNIVERSITY | |
SCHEELE, D - USDA-FS |
Submitted to: Soil Erosion for 21st Century Symposium
Publication Type: Proceedings Publication Acceptance Date: 11/1/2000 Publication Date: N/A Citation: N/A Interpretive Summary: Technical Abstract: Stochastic weather generators are often employed with process-based soil erosion prediction models. Long-term observed weather station statistics (precipitation, temperature, etc.) can be used to provide a daily series of temperature, precipitation, solar radiation, and wind parameters needed by an erosion model in its calculations for evapotranspiration, plant growth, soil frost and thaw development, snow melt, infiltration, runoff, and soil erosion. The Water Erosion Prediction Project (WEPP) erosion model typically uses the CLIGEN weather describes recently identified problems with CLIGEN and its weather station database, as well as enhancements to improve the generator program and supporting database. |