East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2)
cg.authorship.types | CGIAR and advanced research institute | en |
cg.contributor.affiliation | International Research Institute for Climate and Society | en |
cg.contributor.donor | World Bank | en |
cg.coverage.region | Africa | |
cg.coverage.region | Eastern Africa | |
cg.coverage.region | Southern Africa | |
cg.coverage.region | Sub-Saharan Africa | |
cg.creator.identifier | Amanda Grossi: 0000-0001-9861-8551 | en |
cg.creator.identifier | Bohar Singh: 0000-0001-7638-6470 | en |
cg.creator.identifier | Tufa Dinku: 0000-0003-1720-2816 | en |
cg.creator.identifier | Dawit Solomon: 0000-0002-6839-6801 | en |
cg.subject.impactArea | Climate adaptation and mitigation | |
cg.subject.impactArea | Nutrition, health and food security | |
cg.subject.sdg | SDG 2 - Zero hunger | en |
cg.subject.sdg | SDG 13 - Climate action | en |
dc.contributor.author | Grossi, Amanda | en |
dc.contributor.author | Robertson, Andrew | en |
dc.contributor.author | Muñoz, Angel | en |
dc.contributor.author | Singh, Bohar | en |
dc.contributor.author | Dinku, Tufa | en |
dc.contributor.author | Demissie, Teferi Dejene | en |
dc.contributor.author | Solomon, Dawit | en |
dc.date.accessioned | 2023-01-10T16:45:40Z | en |
dc.date.available | 2023-01-10T16:45:40Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/126758 | |
dc.title | East and Southern Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2) | en |
dcterms.abstract | 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. | en |
dcterms.accessRights | Open Access | |
dcterms.audience | Scientists | en |
dcterms.bibliographicCitation | 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). | en |
dcterms.extent | 30 p. | en |
dcterms.issued | 2022-10 | en |
dcterms.language | en | |
dcterms.license | CC-BY-NC-4.0 | |
dcterms.publisher | Accelerating Impacts of CGIAR Climate Research for Africa | en |
dcterms.subject | agriculture | en |
dcterms.subject | next generation sequencing | en |
dcterms.subject | climate-smart agriculture | en |
dcterms.subject | climate change | en |
dcterms.type | Report |
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