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...

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Main Authors: Faniriantsoa, Rija, Hansen, James
Format: Informe técnico
Language:Inglés
Published: Accelerating Impacts of CGIAR Climate Research for Africa 2022
Subjects:
Online Access:https://hdl.handle.net/10568/126634
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author Faniriantsoa, Rija
Hansen, James
author_browse Faniriantsoa, Rija
Hansen, James
author_facet Faniriantsoa, Rija
Hansen, James
author_sort Faniriantsoa, Rija
collection Repository of Agricultural Research Outputs (CGSpace)
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 Informe técnico
id CGSpace126634
institution CGIAR Consortium
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher Accelerating Impacts of CGIAR Climate Research for Africa
publisherStr Accelerating Impacts of CGIAR Climate Research for Africa
record_format dspace
spelling CGSpace1266342025-11-11T16:27:58Z 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 https://hdl.handle.net/10568/126634 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa 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).
spellingShingle agriculture
climate-smart agriculture
climate change
meteorological data
Faniriantsoa, Rija
Hansen, James
Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
title 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_short 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
topic agriculture
climate-smart agriculture
climate change
meteorological data
url https://hdl.handle.net/10568/126634
work_keys_str_mv AT faniriantsoarija enhancinganacimhighresolutionmergedhistoricaldatasetsbygeneratingadditionalmeteorologicalparameters
AT hansenjames enhancinganacimhighresolutionmergedhistoricaldatasetsbygeneratingadditionalmeteorologicalparameters