Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people

Meteorological tools can benefit farmers in multiple ways: they allow them to seed and harvest at the right moment, minimize crop losses, and inform agricultural decision making. Newly developed meteorological tools now allow better climate forecasting for a population of 125 million in East and Wes...

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Autor principal: CGIAR Research Program on Climate Change, Agriculture and Food Security
Formato: Case Study
Lenguaje:Inglés
Publicado: CGIAR Research Program on Climate Change, Agriculture and Food Security 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/114591
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author CGIAR Research Program on Climate Change, Agriculture and Food Security
author_browse CGIAR Research Program on Climate Change, Agriculture and Food Security
author_facet CGIAR Research Program on Climate Change, Agriculture and Food Security
author_sort CGIAR Research Program on Climate Change, Agriculture and Food Security
collection Repository of Agricultural Research Outputs (CGSpace)
description Meteorological tools can benefit farmers in multiple ways: they allow them to seed and harvest at the right moment, minimize crop losses, and inform agricultural decision making. Newly developed meteorological tools now allow better climate forecasting for a population of 125 million in East and West Africa. The so-called "Maproom" tools were developed by CCAFS and the Enhancing National Climate Services (ENACTS) initiative hosted by IRI at Columbia University's Earth Institute. CCAFS also supported implementation in the regions, holding 23 training visits and events.
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spelling CGSpace1145912023-03-12T14:30:41Z Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people CGIAR Research Program on Climate Change, Agriculture and Food Security climate change agriculture food security forecasting decision making Meteorological tools can benefit farmers in multiple ways: they allow them to seed and harvest at the right moment, minimize crop losses, and inform agricultural decision making. Newly developed meteorological tools now allow better climate forecasting for a population of 125 million in East and West Africa. The so-called "Maproom" tools were developed by CCAFS and the Enhancing National Climate Services (ENACTS) initiative hosted by IRI at Columbia University's Earth Institute. CCAFS also supported implementation in the regions, holding 23 training visits and events. 2021-06-01 2021-08-09T12:41:49Z 2021-08-09T12:41:49Z Case Study https://hdl.handle.net/10568/114591 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security CCAFS. 2021. Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle climate change
agriculture
food security
forecasting
decision making
CGIAR Research Program on Climate Change, Agriculture and Food Security
Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title_full Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title_fullStr Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title_full_unstemmed Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title_short Seasonal climate analyses improve agricultural decision-making in Africa, potentially benefitting 125 million people
title_sort seasonal climate analyses improve agricultural decision making in africa potentially benefitting 125 million people
topic climate change
agriculture
food security
forecasting
decision making
url https://hdl.handle.net/10568/114591
work_keys_str_mv AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity seasonalclimateanalysesimproveagriculturaldecisionmakinginafricapotentiallybenefitting125millionpeople