- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90 ; day:17 ; month:02 ; year:2023 ; pages:1-17 ; extent:17
Natural hazards and earth system sciences discussions ; (17.02.2023), 1-17 (gesamt 17)
- Creator
- DOI
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10.5194/nhess-2023-9
- URN
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urn:nbn:de:101:1-2023033006521654449822
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
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Associated
- Vorobevskii, Ivan
- Luong, Thi Thanh
- Kronenberg, Rico
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Reliability of meteorological drought indices for predicting soil moisture droughts
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Downscaling of seasonal soil moisture forecasts using satellite data
Ambiguous agricultural drought: characterising soil moisture and vegetation droughts in Europe from earth observation
Historical trends of seasonal droughts in Australia
Sub-seasonal variability of surface soil moisture over eastern China
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Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach
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Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
Resolution-dependence of future European soil moisture droughts
Reliability of meteorological drought indices for predicting soil moisture droughts
Soil moisture droughts in Germany : retrospective analysis, parametric uncertainty, and monitoring
Forecasting droughts in East Africa
Downscaling of seasonal soil moisture forecasts using satellite data
Ambiguous agricultural drought: characterising soil moisture and vegetation droughts in Europe from earth observation
Historical trends of seasonal droughts in Australia
Sub-seasonal variability of surface soil moisture over eastern China
Temporal Characteristics and Atmospheric Drivers of Onsets and Terminations of Soil Moisture Droughts in Europe
Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach