Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa

AICCRA is supporting African National Meteorological Services (NMS) and Regional Climate Centres to implement Next Generation (NextGen) seasonal and sub-seasonal climate forecast systems and an improved online Flexible Forecast presentation. This brief describes the NextGen forecast system and the t...

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Autores principales: Hansen, James, Grossi, Amanda, Trzaska, Sylwia, Dinku, Tufa, Beathgen, Walter, Ali, Abdou
Formato: Brief
Lenguaje:Inglés
Publicado: Accelerating Impacts of CGIAR Climate Research for Africa 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/125770
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author Hansen, James
Grossi, Amanda
Trzaska, Sylwia
Dinku, Tufa
Beathgen, Walter
Ali, Abdou
author_browse Ali, Abdou
Beathgen, Walter
Dinku, Tufa
Grossi, Amanda
Hansen, James
Trzaska, Sylwia
author_facet Hansen, James
Grossi, Amanda
Trzaska, Sylwia
Dinku, Tufa
Beathgen, Walter
Ali, Abdou
author_sort Hansen, James
collection Repository of Agricultural Research Outputs (CGSpace)
description AICCRA is supporting African National Meteorological Services (NMS) and Regional Climate Centres to implement Next Generation (NextGen) seasonal and sub-seasonal climate forecast systems and an improved online Flexible Forecast presentation. This brief describes the NextGen forecast system and the transformative presentation of these forecasts using an interactive web interface (Flexible Forecast Maproom), summarizes AICCRA training and support to scale out these forecast tools, and introduces a workshop process developed to equip farmers to take advantage of the Next Generation of seasonal forecasts and the Flexible Forecast Maproom.
format Brief
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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
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spelling CGSpace1257702025-11-11T16:27:05Z Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa Hansen, James Grossi, Amanda Trzaska, Sylwia Dinku, Tufa Beathgen, Walter Ali, Abdou forecasting agriculture climate-smart agriculture seasonality AICCRA is supporting African National Meteorological Services (NMS) and Regional Climate Centres to implement Next Generation (NextGen) seasonal and sub-seasonal climate forecast systems and an improved online Flexible Forecast presentation. This brief describes the NextGen forecast system and the transformative presentation of these forecasts using an interactive web interface (Flexible Forecast Maproom), summarizes AICCRA training and support to scale out these forecast tools, and introduces a workshop process developed to equip farmers to take advantage of the Next Generation of seasonal forecasts and the Flexible Forecast Maproom. 2022-11 2022-12-03T11:47:59Z 2022-12-03T11:47:59Z Brief https://hdl.handle.net/10568/125770 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Hansen J, Grossi A, Trzaska S, Dinku T, Baethgen W. 2022. Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa. AICCRA Info Note. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
spellingShingle forecasting
agriculture
climate-smart agriculture
seasonality
Hansen, James
Grossi, Amanda
Trzaska, Sylwia
Dinku, Tufa
Beathgen, Walter
Ali, Abdou
Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title_full Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title_fullStr Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title_full_unstemmed Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title_short Scaling Out the Next Generation of Seasonal Climate Forecasts in Africa
title_sort scaling out the next generation of seasonal climate forecasts in africa
topic forecasting
agriculture
climate-smart agriculture
seasonality
url https://hdl.handle.net/10568/125770
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