Bias correction schemes for CMORPH satellite rainfall estimates in the Zambezi River Basin
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Bias correction schemes for CMORPH satellite rainfall estimates in the Zambezi River Basin ; year:2016 ; pages:1-36
Hydrology and earth system sciences discussions ; (2016), 1-36
- Creator
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Gumindoga, W.
Rientjes, T. H. M.
Haile, A. T.
Makurira, H.
Reggiani, P.
- DOI
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10.5194/hess-2016-33
- URN
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urn:nbn:de:101:1-2017110512258
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
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Associated
- Gumindoga, W.
- Rientjes, T. H. M.
- Haile, A. T.
- Makurira, H.
- Reggiani, P.
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Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin
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Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa
Evaluation of satellite rainfall estimates over Ethiopian river basins
Multi-satellite rainfall sampling error estimates – a comparative study
Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting?
Bias correction of satellite rainfall estimates using a radar-gauge product – a case study in Oklahoma (USA)
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Validation of satellite daily rainfall estimates in complex terrain of Bali Island, Indonesia
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Satellite-based rainfall estimates to simulate daily streamflow using a hydrological model over Gambia watershed
Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin
Performance of bias correction schemes for CMORPH rainfall estimates in the Zambezi River Basin
Bias correction of daily satellite-based rainfall estimates for hydrologic forecasting in the Upper Zambezi, Africa
Evaluation of satellite rainfall estimates over Ethiopian river basins
Multi-satellite rainfall sampling error estimates – a comparative study
Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting?
Bias correction of satellite rainfall estimates using a radar-gauge product – a case study in Oklahoma (USA)
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