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Generation of Simulated Daily Precipitation and Air and Soil Temperatures

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  • Paul D. Mitchell

Abstract

Mitchell describes a maximum likelihood method using historical weather data to estimate a parametric model of daily precipitation and maximum and minimum air temperatures. Historical weather data from Brookings, SD, and Boone, IA, are used to create the model. Mitchell describes the process of estimation for the precipitation parametric model, and then reports the actual parametric estimates. Next, he presents an algorithm designed to generate a simulated time series of weather variables using the parametric model. Finally, he describes a model that determines soil temperatures as functions of air temperatures and precipitation.

Suggested Citation

  • Paul D. Mitchell, 2000. "Generation of Simulated Daily Precipitation and Air and Soil Temperatures," Center for Agricultural and Rural Development (CARD) Publications 00-wp234, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:00-wp234
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    References listed on IDEAS

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    1. Torben Wiborg, 1998. "KRAM - A Sector Model of Danish Agriculture: Background and Framework Development," Center for Agricultural and Rural Development (CARD) Publications 98-wp193, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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