East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2)
From October 3-11, an eight-day training of trainers (ToT) targeting East and Southern Africa (ESA) was implemented in Zanzibar, Tanzania by the International Research Institute for Climate and Society (IRI) of the Columbia Climate School, in close collaboration with the IGAD Climate Prediction and...
| Autores principales: | , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2022
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| Acceso en línea: | https://hdl.handle.net/10568/126758 |
| _version_ | 1855519278490451968 |
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| author | Grossi, Amanda Robertson, Andrew Muñoz, Angel Singh, Bohar Dinku, Tufa Demissie, Teferi Dejene Solomon, Dawit |
| author_browse | Demissie, Teferi Dejene Dinku, Tufa Grossi, Amanda Muñoz, Angel Robertson, Andrew Singh, Bohar Solomon, Dawit |
| author_facet | Grossi, Amanda Robertson, Andrew Muñoz, Angel Singh, Bohar Dinku, Tufa Demissie, Teferi Dejene Solomon, Dawit |
| author_sort | Grossi, Amanda |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | From October 3-11, an eight-day training of trainers (ToT) targeting East and Southern Africa (ESA) was implemented in Zanzibar, Tanzania by the International Research Institute for Climate and Society (IRI) of the Columbia Climate School, in close collaboration with the IGAD Climate Prediction and Applications Centre (ICPAC), the International Livestock Research Institute (ILRI), and the Tanzania Meteorological Authority (TMA). The workshop, which was organized as part of the World Bank’s Accelerating the Impact of CGIAR Climate Research for Africa (AICCRA) project, brought together 10 national meteorological services from the ESA region, as well as its regional climate center— IGAD Climate Prediction and Applications Centre (ICPAC)—to improve seasonal forecasting capacities using the “NextGen” approach and its concomitant PyCPT version 2 interface (PyCPT2). In particular, the major objectives of the training were to strengthen the knowledge and understanding of regional and national meteorological services of seasonal forecasting tools and approaches, introduce the new advances and functionalities of the Python (PyCPT2) interface for the NextGen forecasting approach, configure and run PyCPT version 2 to make the best-available forecasts in participants’ home countries, including forecast verification, and provide foundational training on best practices for forecast communication including the Flexible Forecast format. |
| format | Informe técnico |
| id | CGSpace126758 |
| 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 | CGSpace1267582025-11-11T16:33:53Z East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) Grossi, Amanda Robertson, Andrew Muñoz, Angel Singh, Bohar Dinku, Tufa Demissie, Teferi Dejene Solomon, Dawit agriculture next generation sequencing climate-smart agriculture climate change From October 3-11, an eight-day training of trainers (ToT) targeting East and Southern Africa (ESA) was implemented in Zanzibar, Tanzania by the International Research Institute for Climate and Society (IRI) of the Columbia Climate School, in close collaboration with the IGAD Climate Prediction and Applications Centre (ICPAC), the International Livestock Research Institute (ILRI), and the Tanzania Meteorological Authority (TMA). The workshop, which was organized as part of the World Bank’s Accelerating the Impact of CGIAR Climate Research for Africa (AICCRA) project, brought together 10 national meteorological services from the ESA region, as well as its regional climate center— IGAD Climate Prediction and Applications Centre (ICPAC)—to improve seasonal forecasting capacities using the “NextGen” approach and its concomitant PyCPT version 2 interface (PyCPT2). In particular, the major objectives of the training were to strengthen the knowledge and understanding of regional and national meteorological services of seasonal forecasting tools and approaches, introduce the new advances and functionalities of the Python (PyCPT2) interface for the NextGen forecasting approach, configure and run PyCPT version 2 to make the best-available forecasts in participants’ home countries, including forecast verification, and provide foundational training on best practices for forecast communication including the Flexible Forecast format. 2022-10 2023-01-10T16:45:40Z 2023-01-10T16:45:40Z Report https://hdl.handle.net/10568/126758 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Grossi A, Robertson A, Muñoz A, Singh B, Dinku T, Demissie T, Solomon D. 2022. East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2). AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | agriculture next generation sequencing climate-smart agriculture climate change Grossi, Amanda Robertson, Andrew Muñoz, Angel Singh, Bohar Dinku, Tufa Demissie, Teferi Dejene Solomon, Dawit East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title_full | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title_fullStr | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title_full_unstemmed | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title_short | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) |
| title_sort | east and southern africa regional training on the improved nextgen seasonal forecasting approach pycpt 2 |
| topic | agriculture next generation sequencing climate-smart agriculture climate change |
| url | https://hdl.handle.net/10568/126758 |
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