Constrained Stochastic Climate Simulation
Name
10691587.pdf
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12.62 MB
Format
Adobe PDF
Checksum (MD5)
eea7f2b5594ba704e84f8417d5ae35d1
Author(s)
Curtis, David Carleton
Eagleson, Peter S.
Date Issued
May 1982
Publisher
Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering
Series/Report no.
R (Massachusetts Institute of Technology. Department of Civil Engineering) ; 82-25.
Report (Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics) ; 274.
Abstract
A stochastic, multivariate, hydrometeorological data generation algorithm is presented. Hourly values of precipitation, cloud cover, shortwave radiation, longwave radiation, temperature, dewpoint, wind speed, and wind direction are jointly generated for the two-meter level. The procedure is designed to provide coherent sets of input data for models of various land surface processes. The model's flexibility and economy allow the study of land surface responses to different atmospheric forcings. Generated data plots, model output statistics, and generated mean diurnal curves are compared to observations for the months of January and July at two sites, Boston, Massachusetts and Dodge City, Kansas. Data representing three "climates", normal, wet, and temperature-biased were generated and applied to a detailed model of the land surface. The resulting energy fluxes across the land-atmosphere interface are reviewed and the differences are noted.
Description
Prepared with the Support of the National Oceanic and Atmospheric Administration, the National Weather Service, and the National Science Foundation.
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