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First 835 results for ”J.P. de Jong en S. Kruizinga ”

  1. Improving precipitation forecasts using extreme quantile regression

    Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regressio...

    J Velthoen, J Cai, G Jongbloed, M Schmeits | Status: published | Journal: Extremes | Volume: 22 | Year: 2019 | First page: 599 | Last page: 622 | doi: 10.1007/s10687-019-00355-1

    Publication

  2. Automatisering Visuele Waarnemingen Ontwikkeling Meetsystemen

    In kader van het project HOPWA (Herstructurering Operationeel Productieproces Weersverwachtingen ...

    Wiel Wauben Hans de Jongh | Year: 1999 | Pages: 49

    Publication

  3. Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020

    The Copernicus Atmosphere Monitoring Service (CAMS) has recently produced a greenhouse gas reanal...

    Agustí-Panareda, A., Barré, J., Massart, S., Inness, A., Aben, I., Ades, M., Baier, B. C., Balsamo, G., Borsdorff, T., Bousserez, N., Boussetta, S., Buchwitz, M., Cantarello, L., Crevoisier, C., Engelen, R., Eskes, H., Flemming, J., Garrigues, S., Hasekamp, O., Huijnen, V., Jones, L., Kipling, Z., Langerock, B., McNorton, J., Meilhac, N., Noël, S., Parrington, M., Peuch, V.-H., Ramonet, M., Razinger, M., Reuter, M., Ribas, R., Suttie, M., Sweeney, C., Tarniewicz, J., and Wu, L. | Journal: Atmos. Chem. Phys. | Volume: 23 | Year: 2023 | First page: 3829 | Last page: 3859 | doi: 10.5194/acp-23-3829-2023

    Publication

  4. Description of the KNMI operational waveforecast model GONO

    Description of the KNMI operational waveforecast model GONO

    J. Bruisma, P.A.E.M. Janssen, G.J. Komen, H.H. Peeck, M.J. Saraber, W.J.P. de Voogt | Year: 1980 | Pages: 80

    Publication

  5. Rain False-Alarm-Rate Reduction for CSCAT

    In tropical regions, Ku-band scatterometer observations are affected by heavy rain, and affected ...

    Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IEEE Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2020 | doi: https://doi.org/10.1109/LGRS.2020.3039622

    Publication