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Fitting a third-order markov rainfall model to interpolated climate surfaces

By: Contributor(s): Material type: ArticleArticleLanguage: English Description: 97(3):213-231Subject(s): LOC classification:
  • 62045
In: Agricultural and Forest Meteorology (Netherlands)Summary: We describe a procedure to link a third-order Markov rainfall model to interpolated monthly mean climate surfaces. Such preliminary surfaces have been constructed for Africa and Latin America and these allow a user to generate daily weather data (rainfall, temperatures and solar radiation) that can be used for purposes of system characterisation and to drive a wide variety of crop and livestock production and ecosystem models. For applications with a time resolution of a few weeks or a growing season, the surfaces described already have substantial utility. We present indicators of reliability both spatially, in map form, and as summaries of goodness of fit for the model parameters. We test the surfaces for goodness of fit for three contrasting sites in the tropics and identify refinements to improve the interpolation methodology.
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Journal Article Journal Article CIAT Library Document collection CINFOS Document Collection CINFOS 62045 (Browse shelf(Opens below)) c.1 Short Loan 100032205
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We describe a procedure to link a third-order Markov rainfall model to interpolated monthly mean climate surfaces. Such preliminary surfaces have been constructed for Africa and Latin America and these allow a user to generate daily weather data (rainfall, temperatures and solar radiation) that can be used for purposes of system characterisation and to drive a wide variety of crop and livestock production and ecosystem models. For applications with a time resolution of a few weeks or a growing season, the surfaces described already have substantial utility. We present indicators of reliability both spatially, in map form, and as summaries of goodness of fit for the model parameters. We test the surfaces for goodness of fit for three contrasting sites in the tropics and identify refinements to improve the interpolation methodology. eng

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