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First 980 results for ”S Brönnimann”

1. Aeolus Rayleigh-channel winds in cloudy conditions

   Aeolus carried the first Doppler wind lidar to measure wind profiles from space. Aeolus was a Eur...

   Gert-Jan Marseille, Jos de Kloe, Alain Dabas, Thomas Flament, Michael Rennie | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 149 | Year: 2023 | First page: 3270 | Last page: 3289 | doi: https://doi.org/10.1002/qj.4555

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2. Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

   The Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC) has ado...

   Maialen Iturbide, Jesús Fernández, José M. Gutiérrez, Anna Pirani, David Huard, Alaa Al Khourdajie, Jorge Baño-Medina, Joaquin Bedia, Ana Casanueva, Ezequiel Cimadevilla, Antonio S. Cofiño, Matteo De Felice, Javier Diez-Sierra, Markel García-Díez, James Goldie, Dimitris A. Herrera, Sixto Herrera, Rodrigo Manzanas, Josipa Milovac, Aparna Radhakrishnan, Daniel San-Martín, Alessandro Spinuso, Kristen M. Thyng, Claire Trenham, Özge Yelekçi | Journal: Nature Scientific Data | Year: 2022 | doi: https://doi.org/10.1038/s41597-022-01739-y

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3. Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1)

   We report on an evaluation of tropospheric ozone and its precursor gases in three atmospheric che...

   V Huijnen, A Pozzer, J Arteta, G Brasseur, I Bouarar, S Chabrillat, Y Christophe, T Doumbia, J Flemming, J Guth, B Josse, V Karydis, V Marecal, S Pelletier | Status: published | Journal: Geoscientific Model Development | Volume: 12 | Year: 2019 | First page: 1725 | Last page: 1752 | doi: https://doi.org/10.5194/gmd-12-1725-2019

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4. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

   Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

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5. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

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