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First 549 results for ” S Benhamou”

  1. Description of the Earth system model of intermediate complexity LOVECLIM version 1.2

    H Goosse, V Brovkin, T Fichefet, RJ Haarsma, P Huybrechts, J Jongma, A Mouchet, F Selten, PY Barriat, JM Campin, E Deleersnijder, E Driesschaert, H Goelzer, I Janssens, SL Weber | Status: published | Journal: Geoscientific Model Development | Year: 2010 | First page: 603 | Last page: 633 | doi: doi:10.5194/gmd-3-603-2010

    Publication

  2. First ground-based validation of SCIAMACHY V5.01 O3 column

    JC Lambert, MAF Allaart, SB Andersen, T Blumenstock, G Bodeker, EJ Brinksma, C Cambridge, M de Maziere, P De Moulin, P Gerard, M Gil, F Goutail, J Granville, DV Ionov, .............................. | Conference: Second workshop on the Atmospheric Chemistry Validation of Envisat (ACVE-2) SP-562 | Organisation: ESRIN | Place: Frascati | Year: 2004 | First page: 0 | Last page: 0

    Publication

  3. Geophysical validation of Sciamachy NO2 vertical columns: Overview of early 2004 results

    JC Lambert, T Blumenstock, KF Boersma, A Bracher, M De Mazière, P Demoulin, I De Smedt, H Eskes, M Gil, F Goutail, J Granville, F Hendrick, DV Ionov, PV Johnston, .............................. | Conference: Second workshop on the Atmospheric Chemistry Validation of Envisat (ACVE-2) SP-562 | Organisation: ESRIN | Place: Frascati | Year: 2004 | First page: 0 | Last page: 0

    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