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De eerste 3459 resultaten worden getoond op ”klimaatverandering”

  1. Updated SO2 emission estimates over China using OMI/Aura observations

    ME Koukouli, N Theys, J Ding, I Zyrichidou, B Mijling, D Balis, RJ van der A | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2018 | First page: 1817 | Last page: 1832 | doi: 10.5194/amt-11-1817-2018

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  2. Maritime NOx emissions over Chinese seas derived from satellite observations

    J Ding, RJ van der A, B Mijling, JP Jalkanen, L Johansson, PF Levelt | Status: published | Journal: Geophys. Res. Lett. | Year: 2018 | doi: 10.1002/2017GL076788

    Wetenschappelijke publicatie

  3. Antarctic contribution to future sea level from ice shelf basal melt as constrained by ice discharge observations

    Antarctic mass loss is the largest contributor to uncertainties in sea level projections on cente...

    Eveline C. van der Linden, Dewi Le Bars, Erwin Lambert, and Sybren Drijfhout | Journal: The Cryosphere | Volume: 17 | Year: 2023 | First page: 79 | Last page: 103 | doi: 10.5194/tc-17-79-2023

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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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