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First 2165 results for ” JA Lopez Comino”

1. Verificatie van GONO golfverwachtingen en van Engelse fine-mesh winden over de periode oktober 1986 - april 1987

   Wave heights predicted by the operational KNMI wave model ( GONO) and the wind fields derived fr...

   R.A. van Moerkerken | Year: 1989 | Pages: 89

   Publication

2. Higher-order calibration on WindRAD (Wind Radar) scatterometer winds

   WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E ...

   Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, Honggang Yin | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4769 | Last page: 4783 | doi: https://doi.org/10.5194/amt-16-4769-2023

   Publication

3. The generation of EarthCARE L1 test data sets using atmospheric model data sets

   The Earth Cloud, Aerosol and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud–a...

   David P Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, Gerd-Jan van Zadelhoff | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5327 | Last page: 5356 | doi: 10.5194/amt-16-5327-2023

   Publication

4. A perfect model study on the reliability of the added small-scale information in regional climate change projections

   he issue of the added value (AV) of high resolution regional climate models is complex and still ...

   Lenderink, Geert, de Vries, Hylke, van Meijgaard, Erik, van der Wiel, Karin and Selten, Frank | Journal: Climate Dynamics | Volume: 60 | Year: 2023 | First page: 2563 | Last page: 2579 | doi: 10.1007/s00382-022-06451-6

   Publication

5. EURADCLIM: The European climatological high-resolution gauge-adjusted radar precipitation dataset

   The European climatological high-resolution gauge-adjusted radar precipitation dataset, EURADCLIM...

   Aart Overeem, Else van den Besselaar, Gerard van der Schrier, Jan Fokke Meirink, Emiel van der Plas, and Hidde Leijnse | Journal: Earth System Science Data [preprint] | Year: 2022 | doi: https://doi.org/10.5194/essd-2022-334

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