West Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2)

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cg.contributor.affiliationInternational Research Institute for Climate and Societyen_US
cg.contributor.donorWorld Banken_US
cg.coverage.regionAfricaen_US
cg.coverage.regionWestern Africaen_US
cg.creator.identifierAmanda Grossi: 0000-0001-9861-8551en_US
cg.creator.identifierAndrew Robertson: 0000-0002-9187-3805en_US
cg.creator.identifierSylwia Trzaska: 0000-0002-6950-3381en_US
cg.creator.identifierTufa Dinku: 0000-0003-1720-2816en_US
cg.creator.identifierRobert Zougmore: 0000-0002-6215-4852en_US
dc.contributor.authorGrossi, Amandaen_US
dc.contributor.authorRobertson, Andrewen_US
dc.contributor.authorTrzaska, Sylwiaen_US
dc.contributor.authorDinku, Tufaen_US
dc.contributor.authorZougmoré, Robert B.en_US
dc.contributor.authorMinoungou, Bernarden_US
dc.contributor.authorMohamed, Hamatanen_US
dc.date.accessioned2023-01-10T19:35:26Zen_US
dc.date.available2023-01-10T19:35:26Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/126770en_US
dc.titleWest Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2)en_US
dcterms.abstractFrom October 10-19, a nine-day training targeting West Africa (WA) was implemented in Lomé, Togo by the International Research Institute for Climate and Society (IRI) of the Columbia Climate School, in close collaboration with the AICCRA-West Africa team, the Regional Center for Training and Application in Agrometeorology and Operational Hydrology (AGRHYMET) and Meteo Togo. 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 7 national meteorological services from the WA region, as well as its regional climate center (AGRHYMET) 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 national meteorological services of seasonal forecasting tools, 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_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationGrossi A, Robertson A, Trzaska S, Dinku T, Zougmoré R, Minoungou B, Mohamed H. 2022. West Africa Regional Training On the Improved NextGen Seasonal Forecasting Approach (PyCPT 2). AICCRA Workshop. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).en_US
dcterms.extent29 p.en_US
dcterms.issued2022-10en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-4.0en_US
dcterms.publisherAccelerating Impacts of CGIAR Climate Research for Africaen_US
dcterms.subjectagricultureen_US
dcterms.subjectclimate-smart agricultureen_US
dcterms.subjectclimate changeen_US
dcterms.subjectforecastingen_US
dcterms.subjectcapacity developmenten_US
dcterms.subjectclimate variabilityen_US
dcterms.typeReporten_US

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