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First 4467 results for ”R.A. Pasmanter and X.-L. Wang”

1. The November 2019 record high water levels in Venice, Italy

   In the week from 11 to 18 November 2019, the city of Venice in Italy experienced four exceptional...

   Rianne Giesen, Emanuela Clementi, Marco Bajo, Ivan Federico, Ad Stoffelen and Rosalia Santoleri | Journal: Journal of Operational Oceanography (Copernicus Marine Service Ocean State Report, Issue 5) | Volume: 14:sup1 | Year: 2021 | First page: 156 | Last page: 162 | doi: 10.1080/1755876X.2021.1946240

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2. Ruimtelijke verdeling van neerslagtrends in Nederland in de afgelopen 100 jaar

   Recent zijn alle Nederlandse dagelijkse neerslagwaarnemingen uit de periode 1850-1950 gedigitalis...

   TA Buishand, T Brandsma, G de Martino, JN Spreeuw | Journal: H2O | Volume: 44 | Year: 2011 | First page: 31 | Last page: 33

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3. Rainfall generator for the Rhine basin: single-site generation of weather variables by nearest-neighbour resampling

   This report presents the first phase of a project for the development of a rainfall generator for...

   Theo Brandsma, Adri Buishand | Year: 1997 | Pages: 47

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4. Rainfall generator for the Rhine basin: multi-site generation of weather variables by nearest-neighbour resampling

   This report presents the second phase of a project on the development of a rain-fall generator fo...

   Theo Brandsma, Adri Buishand | Year: 1999 | Pages: 58

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5. Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres

   Data assimilation (DA) methods for convective-scale numerical weather predictionat operational ce...

   Nils Gustafsson, Tijana Janjić, Christoph Schraff, Daniel Leuenberger, Martin Weissmann, Hendrik Reich, Pierre Brousseau, Thibaut Montmerle, Eric Wattrelot, Antonín Bučánek, Máté Mile, Rafiq Hamdi, Magnus Lindskog, Jan Barkmeijer, Mats Dahlbom, Bruce Macpherson, Sue Ballard, Gordon Inverarity, Jacob Carley, Curtis Alexander, David Dowell, Shun Liu, Yasutaka Ikuta, Tadashi Fujita | Status: published | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2017 | doi: https://doi.org/10.1002/qj.3179

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