The Global Drought Monitor Portal - The Foundation for a Global Drought Early Warning System
Notice bibliographique
Résumé
International workshops and conferences have, for many years, noted the importance of drought monitoring and have called for the creation of drought early warning systems (the 2007 GEO Ministerial Summit in Cape Town, South Africa, the 2009 WMO-sponsored Inter-\nRegional Workshop on Indices and Early Warning Systems for Drought in Lincoln, Nebraska, USA, and the 2010 Global Drought Assessment Workshop [GDAW] in Asheville, North Carolina, USA, are recent examples). Drought monitoring, assessment, response, mitigation, adaptation, and early warning systems have been created in a number of countries around the world, and some regional and continental efforts have been successful, but a global drought early warning system (GDEWS) remains elusive. The National Integrated Drought Information System (NIDIS) U.S. Drought Portal is a web-based information system created to address drought services and early warning in the United States, including drought monitoring, forecasting, impacts, mitigation, research, and education. It was recognized at the April 2010 GDAW that the creation of a Global Drought Monitoring web portal (GDMP) as a clearinghouse for global drought information would be\nhighly beneficial, but neither the World Meteorological Organization (WMO) nor Group on Earth Observations (GEO) has the resources to provide such a program (GEO does not directly fund initiatives but relies upon donated efforts from GEO members). The managers\nof the NIDIS portal agreed to develop a prototype GDMP. The GDMP is made interoperable with the Global Earth Observation System of Systems (GEOSS) by utilizing Open Geospatial Consortium (OGC) Web Mapping Services (WMS) and other web services to exchange\ndrought maps (and other information) among existing continental and regional drought monitoring efforts, including the North American Drought Monitor (which provides coverage for North America, including Canada, USA, and Mexico), the European Drought Observatory\n(which provides coverage for the European continental region), and the Princeton University African Drought Monitor (which provides African continental coverage). The Republic of Argentina is a full member and is currently being integrated into the GDMP, and the\nCommonwealth of Australia is also in the process of having portions of the Australia Water Availability Project being incorporated into the GDMP. The GDMP will provide global coverage of drought indicators computed using a standard methodology, such as the\nStandardized Precipitation Index (SPI) (at time scales corresponding to meteorological and hydrological drought) computed from Global Historical Climatology Network (GHCN) in situ data, deployment of hydrologic drought indicators for full water budget drought assessment\nin semi-arid terrains, and satellite-observed and modeled soil moisture (for agricultural drought). In addition, the OGC and other web services will empower the GDMP with a drill down capability providing access to the regional and continental assessments, national\ndrought products, and local drought analyses produced within the participating countries. This paper will discuss the creation of the GDMP, its functionality, and its potential applications within the context of a GDEWS.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,005 | 0,011 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,053 | 0,056 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
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