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First 4395 results for ” Francine J. Schevenhoven and Gregory S. Duane”

1. The community atmospheric chemistry box model CAABA/MECCA-4.0

   We present version 4.0 of the atmospheric chemistry box model CAABA/MECCA that now includes a num...

   R Sander, A Baumgaertner, D Cabrera-Perez, F Frank, S Gromov, JU Grooss, H Harder, V Huijnen, P Joeckel, VA Karydis, KE Niemeyer, A Pozzer, H Riede, MG Schultz, D Taraborelli | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 1365 | Last page: 1385 | doi: https://doi.org/10.5194/gmd-12-1365-2019

   Publication

2. Wetenschappelijk rapport KNMI'06-klimaatscenario's: Climate change scenarios 2006 for the Netherlands

   Climate change scenarios for the Netherlands for temperature, precipitation, potential evaporati...

   Bart van den Hurk, Albert Klein Tank, Geert Lenderink, Aad van Ulden, Geert Jan van Oldenborgh, Caroline Katsman, Henk van den Brink, Franziska Keller, Janette Bessembinder, Gerrit Burgers, Gerbrand Komen, Wilco Hazeleger and Sybren Drijfhout | Year: 2006 | Pages: 82

   Publication

3. Probabilities of climatic change

   In the present WR we evaluate a 4000 year spinup of the ocean component of the KNMI ECBILT coupl...

   Wieger Fransen (ed.) and Alice Reuvekamp | Year: 1995 | Pages: 164

   Publication

4. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples

   The modification of an existing cloud property retrieval scheme for the Spinning Enhanced Visibl...

   Hartwig Deneke, Carola Barrientos-Velasco, Sebastian Bley, Anja Hünerbein, Stephan Lenk, Andreas Macke, Jan Fokke Meirink, Marion Schroedter-Homscheidt, Fabian Senf, Ping Wang, Frank Werner, and Jonas Witthuhn | Journal: Atm. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 5107 | Last page: 5126 | doi: doi:10.5194/amt-14-5107-2021

   Publication

5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

   The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

   X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

   Publication