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First 161 results for ”W.R. Raaff”

  1. GCOS reference upper air network (GRUAN): Steps towards assuring future climate records

    The observational climate record is a cornerstone of our scientific understanding of climate chan...

    PW Thorne, H Vömel, G Bodeker, M Sommer, A Apituley, F Berger, S Bojinski, G Braathen, B Calpini, B Demoz, H Diamond, J Dykema, A Fasso, M Fujiwara, T Gardiner | Conference: TEMPERATURE: ITS MEASUREMENT AND CONTROL IN SCIENCE AND INDUSTRY | Place: Los Angeles | Year: 2012 | First page: 1042 | Last page: 1047

    Publication

  2. THESEO-Euro, Solve, Final Report, Improved understanding of stratospheric ozone loss by measurements and modelling

    GO Braathen, F Goutail, H Flentje, F Stroh, M Chipperfield, P von der Gathen, G Vaughan, K Kuenzi, E Kyroe, B Knudsen, C Brogniez, KH Fricke, G Hochschild, A Goede, K Pfeilsticker | Year: 2006

    Publication

  3. Vortex-averaged Arctic ozone depletion in the winter 2002/2003

    A total ozone depletion of 68±7 Dobson units between 380 and 525K from 10 December 2002 to 10 Mar...

    T Christensen, BM Knudsen, M Streiberl, SB Andersen, A Benesova, G Braathen, H Claude, J Davies, H De Backer, H Dier, V Dorokhov, M Gerding, M Gil, B Henchoz, H Kelder | Status: published | Journal: Atm. Chem. Phys. | Volume: 5 | Year: 2005 | First page: 131 | Last page: 138 | doi: 1680-7324/acp/2005-5-131

    Publication

  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

    Publication

  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

    Publication