Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO
The recent expansion of weather observation networks has focused on the use of automatic weather stations (AWS). AWS offer a number of advantages, including automated reporting at very fine temporal resolution. The challenge that many national meteorological services have faced with the exploitation...
| Autores principales: | , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/130650 |
| _version_ | 1855532037564268544 |
|---|---|
| author | Faniriantsoa, Rija List, Geneva |
| author_browse | Faniriantsoa, Rija List, Geneva |
| author_facet | Faniriantsoa, Rija List, Geneva |
| author_sort | Faniriantsoa, Rija |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The recent expansion of weather observation networks has focused on the use of automatic weather stations (AWS). AWS offer a number of advantages, including automated reporting at very fine temporal resolution. The challenge that many national meteorological services have faced with the exploitation of AWS data is that initiatives and donors have provided different types of AWS from different suppliers, leading to a variety of systems and networks in multiple formats. Although applications are provided with each AWS network to access and visualize the data, data access is still done manually and station by station.
The Automatic Weather Station Data Tool (ADT) is a web-based application developed by the International Research Institution for Climate and Society (IRI) to alleviate the difficulties associated with accessing and using AWS data collected on different systems, networks, servers, and in different formats. ADT features an easy-to-use graphical user interface and enables national meteorological services to access, process, quality control, analyse, visualize and disseminate data from different AWS systems in a single location.
The intention of this workshop was to install ADT for the National Meteorological Agency of Mali (L’Agence Nationale de la Météorologie du Mali, MALI-METEO) and provide training on its use. Installation and training took place from February 27 to March 10, 2023 in Dakar, Senegal. |
| format | Informe técnico |
| id | CGSpace130650 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1306502025-11-11T17:03:33Z Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO Faniriantsoa, Rija List, Geneva agriculture climate information services weather meteorology The recent expansion of weather observation networks has focused on the use of automatic weather stations (AWS). AWS offer a number of advantages, including automated reporting at very fine temporal resolution. The challenge that many national meteorological services have faced with the exploitation of AWS data is that initiatives and donors have provided different types of AWS from different suppliers, leading to a variety of systems and networks in multiple formats. Although applications are provided with each AWS network to access and visualize the data, data access is still done manually and station by station. The Automatic Weather Station Data Tool (ADT) is a web-based application developed by the International Research Institution for Climate and Society (IRI) to alleviate the difficulties associated with accessing and using AWS data collected on different systems, networks, servers, and in different formats. ADT features an easy-to-use graphical user interface and enables national meteorological services to access, process, quality control, analyse, visualize and disseminate data from different AWS systems in a single location. The intention of this workshop was to install ADT for the National Meteorological Agency of Mali (L’Agence Nationale de la Météorologie du Mali, MALI-METEO) and provide training on its use. Installation and training took place from February 27 to March 10, 2023 in Dakar, Senegal. 2023-05 2023-06-05T21:09:42Z 2023-06-05T21:09:42Z Report https://hdl.handle.net/10568/130650 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Faniriantsoa R, List G. 2023.Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO. AICCRA Workshop Report. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | agriculture climate information services weather meteorology Faniriantsoa, Rija List, Geneva Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title | Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title_full | Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title_fullStr | Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title_full_unstemmed | Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title_short | Installation and Training on the Automatic Weather Station Data Tool (ADT) for MALI-METEO |
| title_sort | installation and training on the automatic weather station data tool adt for mali meteo |
| topic | agriculture climate information services weather meteorology |
| url | https://hdl.handle.net/10568/130650 |
| work_keys_str_mv | AT faniriantsoarija installationandtrainingontheautomaticweatherstationdatatooladtformalimeteo AT listgeneva installationandtrainingontheautomaticweatherstationdatatooladtformalimeteo |