Impact of Canopy Representations on Regional Modeling of Evapotranspiration using the WRF-ACASA Coupled Model
Name
MITJPSPGC_Rpt287.pdf
Size
9.37 MB
Format
Adobe PDF
Checksum (MD5)
1bdc60a93d7a57d69824d06798152e29
Author(s)
Xu, L.
Pyles, R.D.
Paw U, K.T.
Snyder, R.
Monier, E.
Falk, M.
S.-H., Chen
Date Issued
December 2015
Publisher
MIT Joint Program on the Science and Policy of Global Change
Citation
Report 287
Series/Report no.
MIT Joint Program Report Series;287
Abstract
In this study, we couple the Weather Research and Forecasting Model (WRF) with the Advanced Canopy-Atmosphere-Soil Algorithm (ACASA), a high complexity land surface model, to investigate the impact of canopy representation on regional evapotranspiration. The WRF-ACASA model uses a multilayer structure to represent the canopy, consequently allowing microenvironmental variables such as leaf area index (LAI), air and canopy temperature, wind speed and humidity to vary both horizontally and vertically. The improvement in canopy representation and canopy-atmosphere interaction allow for more realistic simulation of evapotranspiration on both regional and local scales. Accurate estimates of evapotranspiration (both potential and actual) are especially important for regions with limited water availability and high water demand, such as California. Water availability has been and will continue to be the most important issue facing California for years and perhaps decades to come. Terrestrial evapotranspiration is influenced by many processes and interactions in the atmosphere and the bio-sphere such as water, carbon, and momentum exchanges. The need to improve representation within of surface-atmosphere interactions remains an urgent priority within the modeling community.
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