MarkSim: Software to generate daily weather data for Latin America and Africa

A software package to generate daily weather data for Latin America and Africa is described. The program is based on a stochastic weather generator that uses a third-order Markov process to model daily weather data. The model has been fitted to data from more than 9200 stations with long runs of dai...

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Detalles Bibliográficos
Autores principales: Jones, Peter G., Thornton, Philip K.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Wiley 2000
Materias:
Acceso en línea:https://hdl.handle.net/10568/30038
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author Jones, Peter G.
Thornton, Philip K.
author_browse Jones, Peter G.
Thornton, Philip K.
author_facet Jones, Peter G.
Thornton, Philip K.
author_sort Jones, Peter G.
collection Repository of Agricultural Research Outputs (CGSpace)
description A software package to generate daily weather data for Latin America and Africa is described. The program is based on a stochastic weather generator that uses a third-order Markov process to model daily weather data. The model has been fitted to data from more than 9200 stations with long runs of daily data throughout the world. The climate normals for these stations were assembled into 664 groups using a clustering algorithm. For each of these groups, rainfall model parmeters are predicted from monthly means of rainfall, air temperature, diurnal temperature range, and station elevation and latitude. The program identifies the cluster relevant to any required point using interpolated climate surfaces at a resolution of 10 min of arc (18 km2) and evaluates the model parameters for that point. The application currently contains surfaces for Latin America and Africa, and other regions will later be added. Use of the software is demonstrated by generating daily weather data files for running one of the DSSAT crop models.
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spelling CGSpace300382023-09-09T17:20:05Z MarkSim: Software to generate daily weather data for Latin America and Africa Jones, Peter G. Thornton, Philip K. weather software rain climate models A software package to generate daily weather data for Latin America and Africa is described. The program is based on a stochastic weather generator that uses a third-order Markov process to model daily weather data. The model has been fitted to data from more than 9200 stations with long runs of daily data throughout the world. The climate normals for these stations were assembled into 664 groups using a clustering algorithm. For each of these groups, rainfall model parmeters are predicted from monthly means of rainfall, air temperature, diurnal temperature range, and station elevation and latitude. The program identifies the cluster relevant to any required point using interpolated climate surfaces at a resolution of 10 min of arc (18 km2) and evaluates the model parameters for that point. The application currently contains surfaces for Latin America and Africa, and other regions will later be added. Use of the software is demonstrated by generating daily weather data files for running one of the DSSAT crop models. 2000-05 2013-06-11T09:25:57Z 2013-06-11T09:25:57Z Journal Article https://hdl.handle.net/10568/30038 en Limited Access Wiley Agronomy Journal;92(3): 445-453
spellingShingle weather
software
rain
climate
models
Jones, Peter G.
Thornton, Philip K.
MarkSim: Software to generate daily weather data for Latin America and Africa
title MarkSim: Software to generate daily weather data for Latin America and Africa
title_full MarkSim: Software to generate daily weather data for Latin America and Africa
title_fullStr MarkSim: Software to generate daily weather data for Latin America and Africa
title_full_unstemmed MarkSim: Software to generate daily weather data for Latin America and Africa
title_short MarkSim: Software to generate daily weather data for Latin America and Africa
title_sort marksim software to generate daily weather data for latin america and africa
topic weather
software
rain
climate
models
url https://hdl.handle.net/10568/30038
work_keys_str_mv AT jonespeterg marksimsoftwaretogeneratedailyweatherdataforlatinamericaandafrica
AT thorntonphilipk marksimsoftwaretogeneratedailyweatherdataforlatinamericaandafrica