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First 1814 results for ” J Schellekens”

  1. Agile Development in Meteorological R&D: Achieving a Minimum Viable Product in a Scrum Work Setting

    In the Agile Way of Working (AoW) a group of developers jointly work to efficiently realize a pro...

    WJ Som de Cerff, J van de Vegte, R Boers, T Brandsma, MJ de Haij, WF van Moosel, JW Noteboom, GA Pagani, G van der Schrier | Status: submitted | Journal: BAMS | Year: 2018 | doi: doi:10.1175/BAMS-D-17-0273.1

    Publication

  2. The CAMS reanalysis of atmospheric composition

    The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis is the latest global reanalysis da...

    A Inness, M Ades, A Agusti-Panareda, J Barré, A Benedictow, AM Blechschmidt, JJ Dominguez, R Engelen, H Eskes, J Flemming, V Huijnen, L Jones, Z Kipling, S Massart, M Parrington | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 3515 | Last page: 3556 | doi: https://doi.org/10.5194/acp-19-3515-2019

    Publication

  3. Hindcast experiments of tropospheric composition during the summer 2010 fires over Western Russia

    V Huijnen, J Flemming, JW Kaiser, A Inness, J Leitao, A Heil, HJ Eskes, MG Schultz, A Benedetti, G Dufour, M Eremenko, J Hadji-Lazaro | Status: published | Journal: Atm. Chem. Phys. | Year: 2012 | First page: 4341 | Last page: 4364 | doi: doi:10.5194/acp-12-4341-2012

    Publication

  4. Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations: Reactive gases

    The Copernicus Atmosphere Monitoring Service (CAMS) is operationally providing forecast and reana...

    Wagner, A., Bennouna, Y., Blechschmidt, A.-M., Brasseur, G., Chabrillat, S., Christophe, Y., Errera, Q., Eskes, H., Flemming, J., Hansen, K. M., Inness, A., Kapsomenakis, J., Langerock, B., Richter, A., Sudarchikova, N., Thouret, V., Zerefos, C. | Journal: Elementa: Science of the Anthropocene | Volume: 9 | Year: 2021 | First page: 00171 | doi: 10.1525/elementa.2020.00171

    Publication

  5. 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