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Titel |
Development of a Global Fire Weather Database |
VerfasserIn |
R. D. Field, A. C. Spessa, N. A. Aziz, A. Camia, A. Cantin, R. Carr, W. J. Groot, A. J. Dowdy, M. D. Flannigan, K. Manomaiphiboon, F. Pappenberger, V. Tanpipat, X. Wang |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 6 ; Nr. 15, no. 6 (2015-06-30), S.1407-1423 |
Datensatznummer |
250119546
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Publikation (Nr.) |
copernicus.org/nhess-15-1407-2015.pdf |
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Zusammenfassung |
The Canadian Forest Fire Weather Index (FWI) System is the mostly widely used fire danger rating system in the world. We
have developed a global database of daily FWI System calculations, beginning
in 1980, called the Global Fire WEather Database (GFWED) gridded to a spatial
resolution of 0.5° latitude by 2/3° longitude. Input weather
data were obtained from the NASA Modern Era Retrospective-Analysis for
Research and Applications (MERRA), and two different estimates of daily
precipitation from rain gauges over land. FWI System Drought Code
calculations from the gridded data sets were compared to calculations from
individual weather station data for a representative set of 48 stations in
North, Central and South America, Europe, Russia, Southeast Asia and
Australia. Agreement between gridded calculations and the station-based
calculations tended to be most different at low latitudes for strictly
MERRA-based calculations. Strong biases could be seen in either direction:
MERRA DC over the Mato Grosso in Brazil reached unrealistically high values
exceeding DC = 1500 during the dry season but was too low over Southeast
Asia during the dry season. These biases are consistent with those previously
identified in MERRA's precipitation, and they reinforce the need to consider
alternative sources of precipitation data. GFWED can be used for analyzing
historical relationships between fire weather and fire activity at
continental and global scales, in identifying large-scale atmosphere–ocean
controls on fire weather, and calibration of FWI-based fire prediction
models. |
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