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First 5020 results for ” A.C.A.P. van Lammeren and A.J. Feijt”

1. Rainfall generator for the Rhine basin: nearest-neighbour resampling of daily circulation indices and conditional generation of weather variables

   This is the third progress report of a project on the development of a rainfall generator for the...

   Jules Beersma, Adri Buishand | Year: 1999 | Pages: 34

   Publication

2. Rainfall generator for the Rhine basin: Description of simulations using gridded precipitation datasets and uncertainty analysis

   The rainfall generator has been used to generate long synthetic series of daily precipitation and...

   Maurice Schmeits, Erwin Wolters, Jules Beersma, Adri Buishand | Year: 2014 | Pages: 29

   Publication

3. Rainfall Generator for the Rhine Basin: Sensitivity to the composition of the feature vector and passive simulations

   Since the mid 1990s rainfall generators for the Rhine and Meuse basins have been developed. These...

   Jules Beersma | Year: 2011 | Pages: 18

   Publication

4. A global model–measurement evaluation of particle light scattering coefficients at elevated relative humidity

   The uptake of water by atmospheric aerosols has a pronounced effect on particle light scattering ...

   MA Burgos, EJ Andrews, G Titos, A Benedetti, H Bian, V Buchard, G Curci, Z Kipling, A Kirkevåg, H Kokkola, A Laakso, J Letertre-Danczak, MT Lund, H Matsui, G Myhre, C Randles, M Schulz, T van Noije, K Zhang, L Alados-Arboledas, U Baltensperger, A Jefferson, J Sherman, J Sun, E Weingartner, P Zieger | Status: published | Journal: Atmos. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 10231 | Last page: 10258 | doi: 10.5194/acp-20-10231-2020

   Publication

5. Toward the generation of a wind geophysical model function for spaceborne GNSS-R

   This paper presents a comprehensive procedure to improve the wind geophysical model function (GMF...

   Wenming Lin, Marcos Portabella, Giuseppe Foti, Ad Stoffelen, Christine Gommenginger, Yijun He | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 57 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2018.2859191

   Publication