Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters

Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters

ANACIM already has a high resolution ENACTS datasets composed of rainfall and temperature data covering the period from 1981 to the present. In order to be able to produce a high-resolution evapotranspiration dataset computed with the Penman-Monteith method, a work has been carried out, with ANACIM staff from November 14th to 22nd 2022 at ANACIM headquarters in Dakar, to produce a high-resolution meteorological dataset required to compute the evapotranspiration.

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Bibliographic Details
Main Authors: Faniriantsoa, Rija, Hansen, James
Format: Report biblioteca
Language:English
Published: Accelerating Impacts of CGIAR Climate Research for Africa 2022-12-21
Subjects:agriculture, climate-smart agriculture, climate change, meteorological data,
Online Access:https://hdl.handle.net/10568/126634
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spelling dig-cgspace-10568-1266342023-09-15T12:26:07Z Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters Faniriantsoa, Rija Hansen, James agriculture climate-smart agriculture climate change meteorological data ANACIM already has a high resolution ENACTS datasets composed of rainfall and temperature data covering the period from 1981 to the present. In order to be able to produce a high-resolution evapotranspiration dataset computed with the Penman-Monteith method, a work has been carried out, with ANACIM staff from November 14th to 22nd 2022 at ANACIM headquarters in Dakar, to produce a high-resolution meteorological dataset required to compute the evapotranspiration. 2022-12-21 2023-01-05T19:59:44Z 2023-01-05T19:59:44Z Report Faniriantsoa R, Hansen J. 2022. Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters. AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). https://hdl.handle.net/10568/126634 en CC-BY-NC-4.0 Open Access 15 p. application/pdf Accelerating Impacts of CGIAR Climate Research for Africa
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic agriculture
climate-smart agriculture
climate change
meteorological data
agriculture
climate-smart agriculture
climate change
meteorological data
spellingShingle agriculture
climate-smart agriculture
climate change
meteorological data
agriculture
climate-smart agriculture
climate change
meteorological data
Faniriantsoa, Rija
Hansen, James
Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
description ANACIM already has a high resolution ENACTS datasets composed of rainfall and temperature data covering the period from 1981 to the present. In order to be able to produce a high-resolution evapotranspiration dataset computed with the Penman-Monteith method, a work has been carried out, with ANACIM staff from November 14th to 22nd 2022 at ANACIM headquarters in Dakar, to produce a high-resolution meteorological dataset required to compute the evapotranspiration.
format Report
topic_facet agriculture
climate-smart agriculture
climate change
meteorological data
author Faniriantsoa, Rija
Hansen, James
author_facet Faniriantsoa, Rija
Hansen, James
author_sort Faniriantsoa, Rija
title Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title_short Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title_full Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title_fullStr Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title_full_unstemmed Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title_sort enhancing anacim high-resolution merged historical datasets by generating additional meteorological parameters
publisher Accelerating Impacts of CGIAR Climate Research for Africa
publishDate 2022-12-21
url https://hdl.handle.net/10568/126634
work_keys_str_mv AT faniriantsoarija enhancinganacimhighresolutionmergedhistoricaldatasetsbygeneratingadditionalmeteorologicalparameters
AT hansenjames enhancinganacimhighresolutionmergedhistoricaldatasetsbygeneratingadditionalmeteorologicalparameters
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