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...
| Main Authors: | , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
Accelerating Impacts of CGIAR Climate Research for Africa
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126634 |
| _version_ | 1855538104331403264 |
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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 |