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Cited by 219

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Toward Global Drought Early Warning Capability: Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting

Open access
Pozzi, Will, Sheffield, Justin, Stefanski, Robert, Cripe, Douglas, Pulwarty, Roger, Vogt, Jürgen V., Heim, Richard R., Brewer, Michael J., Svoboda, Mark, Westerhoff, Rogier, van Dijk, Albert I. J. M., Lloyd-Hughes, Benjamin, Pappenberger, Florian, Werner, Micha, Dutra, Emanuel, Wetterhall, Fredrik, Wagner, Wolfgang, Schubert, Siegfried, Mo, Kingtse, Nicholson, Margaret, Bettio, Lynette, Nunez, Liliana, van Beek, Rens, Bierkens, Marc, de Goncalves, Luis Gustavo Goncalves, de Mattos, João Gerd Zell, Lawford, Richard·2013·Bulletin of the American Meteorological Society

Abstract

Drought is a global problem that has far-reaching impacts, especially on vulnerable populations in developing regions. This paper highlights the need for a Global Drought Early Warning System (GDEWS), the elements that constitute its underlying framework (GDEWF), and the recent progress made toward its development. Many countries lack drought monitoring systems, as well as the capacity to respond via appropriate political, institutional, and technological frameworks, and these have inhibited the development of integrated drought management plans or early warning systems. The GDEWS will provide a source of drought tools and products via the GDEWF for countries and regions to develop tailored drought early warning systems for their own users. A key goal of a GDEWS is to maximize the lead time for early warning, allowing drought managers and disaster coordinators more time to put mitigation measures in place to reduce the vulnerability to drought. To address this, the GDEWF will take both a top-down approach to provide global realtime drought monitoring and seasonal forecasting, and a bottom-up approach that builds upon existing national and regional systems to provide continental-to-global coverage. A number of challenges must be overcome, however, before a GDEWS can become a reality, including the lack of in situ measurement networks and modest seasonal forecast skill in many regions, and the lack of infrastructure to translate data into useable information. A set of international partners, through a series of recent workshops and evolving collaborations, has made progress toward meeting these challenges and developing a global system.

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Metadata

Authors
Pozzi, W., Sheffield, J., Stefanski, R., Cripe, D., Pulwarty, R., Vogt, J. V., Heim, R. R., Brewer, M. J., Svoboda, M., Westerhoff, R., van Dijk, A. I. J. M., Lloyd-Hughes, B., Pappenberger, F., Werner, M., Dutra, E., Wetterhall, F., Wagner, W., Schubert, S., Mo, K., Nicholson, M., Bettio, L., Nunez, L., van Beek, R., Bierkens, M., de Goncalves, L. G. G., de Mattos, J. G. Z., & Lawford, R.
Venue
Bulletin of the American Meteorological Society
Published
2013-06-01
Volume
94
Issue
6
Pages
776-785
ISSN
  • 0003-0007 (ISSN-L)
  • 1520-0477
OpenAlex
W2104923199
Cited by
219
References
2
FWCI
11.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Toward Global Drought Early Warning Capability: Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting. https://app.cochat.ai/papers/10.1175/bams-d-11-00176.1
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Pozzi, W., Sheffield, J., Stefanski, R., Cripe, D., Pulwarty, R., Vogt, J. V., Heim, R. R., Brewer, M. J., Svoboda, M., Westerhoff, R., van Dijk, A. I. J. M., Lloyd-Hughes, B., Pappenberger, F., Werner, M., Dutra, E., Wetterhall, F., Wagner, W., Schubert, S., Mo, K., . . . Lawford, R. (2013). Toward Global Drought Early Warning Capability: Expanding International Cooperation for the Development of a Framework for Monitoring and Forecasting. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-11-00176.1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.