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First 2751 results for ” J Vila`-Guerau de Arellano”

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

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2. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2)

   An improved tropospheric nitrogen dioxide (NO2) retrieval algorithm from the Global Ozone Monitor...

   S Liu, P Valks, G Pinardi, J Xu, A Argyrouli, R Lutz, LG Tilstra, V Huijnen, F Hendrick, M Van Roozendael | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 775 | Last page: 787 | doi: 10.5194/amt-13-755-2020

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3. The benefits of global high resolution for climate simulation process understanding and the enabling of stakeholder decisions at the regional scale

   The time scales of the Paris Climate Agreement indicate urgent action is required on climate poli...

   MJ Roberts, PL Vidale, C Senior, HT Hewitt, C Bates, S Berthou, P Chang, HM Christensen, S Danilov, ME Demory, SM Griffies, RJ Haarsma, T Jung, G Martin, S Minobe | Status: published | Journal: Bull. Amer. Meteor. Soc. | Year: 2018 | doi: 10.1175/BAMS-D-15-00320.1

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4. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

   Global observations of tropospheric nitrogen dioxide (NO2) columns have been shown to be feasible...

   KF Boersma, HJ Eskes, A Richter, I De Smedt, A Lorente, JHGM van Geffen, M Zara, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 6651 | Last page: 6678 | doi: https://doi.org/10.5194/amt-11-6651-2018

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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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