Advanced Climate Data Tool (CDT) Training and Automatic Weather Station Data Tool (ADT) Part II for Kenya Meteorological Department (KMD)

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cg.contributor.affiliationInternational Research Institute for Climate and Societyen_US
cg.contributor.donorWorld Banken_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.coverage.regionEastern Asiaen_US
cg.coverage.regionEastern Africaen_US
dc.contributor.authorDinh, Dannieen_US
dc.date.accessioned2023-01-12T23:11:15Zen_US
dc.date.available2023-01-12T23:11:15Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/127014en_US
dc.titleAdvanced Climate Data Tool (CDT) Training and Automatic Weather Station Data Tool (ADT) Part II for Kenya Meteorological Department (KMD)en_US
dcterms.abstractIn October 2022, the International Research Institute for Climate and Society (IRI) conducted an advanced training on Climate Data Tool (CDT) and Automatic Weather Station Data Tool (ADT) for Kenya Meteorological Department (KMD) staff in Nairobi, Kenya. The training involved software installation and hands-on instructional sessions at the KMD head office. The installation and training was requested by the KMD to support and improve the access and processing—including quality control and visualization—of automatic weather station (AWS) data collected by different systems and networks, on different servers, and in different formats.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationDinh D. 2022. Advanced Training on Climate Data Tool & Automatic Weather Station Data Tool for Kenya Meteorological Department. AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).en_US
dcterms.extent13 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.subjectclimateen_US
dcterms.subjectdataen_US
dcterms.subjectagricultureen_US
dcterms.subjectclimate changeen_US
dcterms.subjectclimate-smart agricultureen_US
dcterms.subjectweatheren_US
dcterms.subjectmeteorologyen_US
dcterms.typeReporten_US

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