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First 204 results for ” Virta”

1. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

   Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

   SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

   Publication

2. Parameter Sensitivity in LSMs: An Analysis Using Stochastic Soil Moisture Models and ELDAS Soil Parameters

   Integration of simulated and observed states through data assimilation as well as model evaluatio...

   R Teuling, R Uijlenhoet, B van den Hurk, S Seneviratne | Status: published | Journal: J. Hydrometeor. | Volume: 10 | Year: 2009 | First page: 751 | Last page: 765 | doi: 10.1175/2008JHM1033.1

   Publication

3. A probabilistic approach for SeaWinds data assimilation
   M Portabella, A Stoffelen | Status: published | Journal: Quart. J. Royal Meteor. Soc. | Volume: 130 | Year: 2004 | First page: 127 | Last page: 159 | doi: 10.1256/qj.02.205

   Publication

4. A comparison of KNMI Quality Control and JPL Rain Flag for SeaWinds

   In the past few years, scatterometer winds have been successfully assimilated in weather analysis...

   M Portabella, A Stoffelen | Status: published | Journal: Canadian Journal of Remote Sensing | Volume: 28 | Year: 2002 | First page: 424 | Last page: 430 | doi: 10.5589/m02-040

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5. Rain Detection and Quality Control of SeaWinds
   M Portabella, A Stoffelen | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 18 | Year: 2001 | First page: 1171 | Last page: 1183 | doi: 10.1175/1520-0426(2001)018<1171:RDAQCO>2.0.CO;2

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