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First 2551 results for ” J Verlinde”

1. The role of spatial and temporal model resolution in a flood event storyline approach in western Norway

   We apply a physical climate storyline approach to an autumn flood event in the West Coast of Norw...

   N Schaller, J Sillmann, M Muller, R Haarsma, W Hazeleger, TJ Hegdahl, T Kelder, G vd Oord, A Weerts, KRP Whan | Status: published | Journal: Weather and Climate Extremes | Volume: 29 | Year: 2020 | doi: 10.1016/j.wace.2020.100259

   Publication

2. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2

   Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data ...

   V Huijnen, K Miyazaki, J Flemming, A Inness, T Sekiya, MG Schultz | Status: published | Journal: Geoscientific Model Development | Year: 2020 | First page: 1513 | Last page: 1544 | doi: https://doi.org/10.5194/gmd-13-1513-2020

   Publication

3. Future evolution of surface solar radiation and photovoltaic potential in Europe: investigating the role of aerosols

   In recent decades, trends in photovoltaic (PV) technology deployment have shown an overall increa...

   C Gutiérrez, S Somot, P Nabat, M Mallet, L Corre, E van Meijgaard, O Perpiñán, M&Aac Gaertner | Status: published | Journal: Environmental Research Letters | Volume: 15 | Year: 2020 | doi: 10.1088/1748-9326/ab6666

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4. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation

   Stratosphere-to-troposphere transport (STT) is an important natural source of tropospheric ozone,...

   D Akritidis, E Katragkou, P Zanis, I Pytharoulis, D Melas, J Flemming, A Inness, H Clark, M Plu, H Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 18 | Year: 2018 | First page: 15515 | Last page: 15534 | doi: https://doi.org/10.5194/acp-18-15515-2018

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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

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