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First 225 results for ” K Shiomi”

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. Cross-correlation beamforming

   An areal distribution of sensors can be used for estimating the direction of incoming waves throu...

   EN Ruigrok, S Gibbons, K Wapenaar | Status: accepted | Journal: J. Seism. | Year: 2016 | doi: 10.1007/s10950-016-9612-6

   Publication

3. The influence of the North Sea on coastal precipitation in the Netherlands in the present-day and future climate

   Coastal precipitation in the Netherlands for present-day and future climate using observations an...

   JJ Attema, G Lenderink | Status: published | Journal: Clim. Dyn. | Volume: 42 | Year: 2014 | First page: 505 | Last page: 519 | doi: 10.1007/s00382-013-1665-4

   Publication

4. Validation of Rain Rate Retrievals from SEVIRI using Weather Radar Observations

   This paper presents a method to detect precipitation and estimate rain rates using cloud physical...

   R Roebeling, I Holleman | Conference: EUMETSAT Meteorological Satellite Conference | Organisation: EUMETSAT | Place: Darmstadt | Year: 2008 | First page: 0 | Last page: 0

   Publication

5. SEVIRI rainfall retrieval and validation using weather radar observations

   This paper presents and validates a new algorithm to detect precipitating clouds and estimate rai...

   RA Roebeling, I Holleman | Status: published | Journal: J. Geophys. Res. | Volume: 114 | Year: 2009 | doi: 10.1029/2009JD012102

   Publication