Standardized collection and processing of rainfall data from telecommunication networks: First Results from the Global Microwave Data Collection Initiative (GMDI)
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Le résumé fourni par la source
Accurate quantitative precipitation estimation (QPE) remains a major challenge in many data-scarce regions, particularly across low- and middle-income countries where conventional rain gauge and radar networks are sparse or absent. Commercial Microwave Links (CMLs), widely deployed for telecommunication purposes, provide an opportunistic measurement technique that enables high-temporal-resolution rainfall observations (1–15 minutes) with large spatial coverage, especially in densely populated areas.Recent studies in regions including Sri Lanka, Burkina Faso, Zambia, Nigeria, Ghana, and Cameroon have demonstrated that CML-based rainfall retrieval can complement and, in some cases, outperform satellite-based products such as IMERG in terms of accuracy and spatial representativeness. These results highlight the strong potential of CMLs to enhance QPE, particularly in regions where traditional observation infrastructure is limited.Despite this demonstrated potential, large-scale operational use of CML data is still constrained by technical, legal, and organizational barriers. To address these challenges, the Global Microwave Data Collection Initiative (GMDI), developed within the framework of the COST Action OpenSense, aims to establish a scalable and sustainable system for global collection and use of CML data for rainfall observation.In this contribution, we present first results from pilot implementations in Europe and Africa of the GMDI core system, the Data Collection, Archiving, and Processing (CAP) system. The CAP system enables near-real-time acquisition, storage, and processing of large volumes of CML data and supports their integration with complementary meteorological datasets. Furthermore, we discuss key challenges related to data quality and standardization, as well as the development of long-term data-sharing frameworks with mobile network operators.By improving access to high-resolution rainfall observations, particularly in the Global South, GMDI has the potential to significantly enhance QPE capabilities. This will facilitate the integration of CML and satellite-based rainfall estimates, ultimately strengthening flood early warning systems, water resource management, and climate adaptation strategies worldwide.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Standardized collection and processing of rainfall data from telecommunication networks: First Results from the Global Microwave Data Collection Initiative (GMDI)
- Date Crossref
- 22/06/2026
- Éditeur
- Copernicus GmbH
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Karlsruhe Institute of Technology pays non établi dans la noticeUniversité ou école supérieure
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Czech Technical University in Prague pays non établi dans la noticeUniversité ou école supérieure
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Royal Netherlands Meteorological Institute pays non établi dans la noticeOrganisme public
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Delft University of Technology pays non établi dans la noticeUniversité ou école supérieure
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Deutscher Wetterdienst pays non établi dans la noticeStructure de recherche
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Swedish Meteorological and Hydrological Institute pays non établi dans la noticeOrganisme public
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Norwegian University of Life Sciences pays non établi dans la noticeUniversité ou école supérieure
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Royal Meteorological Institute of Belgium pays non établi dans la noticeStructure de recherche
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Institut de Recherche pour le Développement Bénin (code pays fourni par la source)Organisme public
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Institut de Recherche pour le Développement pays non établi dans la noticeOrganisme public
Karlsruhe Institute of Technology, Czech Technical University in Prague et Royal Netherlands Meteorological Institute, avec 9 autres affiliations. Pays d’affiliation : Bénin.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.