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First 435 results for ”KRP Whan”

  1. Statistical Postprocessing and Multivariate Structuring of High-Resolution Ensemble Precipitation Forecasts

    A comparison of statistical postprocessing methods is performed for high-resolution precipitation...

    C van Straaten, K Whan, M Schmeits | Status: published | Journal: J. Hydrometeor. | Volume: 19 | Year: 2018 | First page: 1815 | Last page: 1833 | doi: 10.1175/JHM-D-18-0105.1

    Publication

  2. Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation

    The increased usage of solar energy places additional importance on forecasts of solar radiation....

    K Bakker, K Whan, W Knap, M Schmeits | Status: published | Journal: Solar Energy | Volume: 191 | Year: 2019 | First page: 138 | Last page: 150 | doi: 10.1016/j.solener.2019.08.044

    Publication

  3. Calibration of ECMWF Seasonal Ensemble Precipitation Reforecasts in Java (Indonesia) Using Bias-Corrected Precipitation and Climate Indices

    The seasonal precipitation forecast is one of the essential inputs for economic and agricultural ...

    Ratri, D. N., Whan, K., and Schmeits, M. | Journal: Weather and Forecasting | Volume: 36 | Year: 2021 | First page: 1375 | Last page: 1386 | doi: 10.1175/WAF-D-20-0124.1

    Publication

  4. What controls the vertical distribution of aerosol? Relationships between process sensitivity in HadGEM3–UKCA and inter-model variation from AeroCom Phase II

    The vertical profile of aerosol is important for its radiative effects, but weakly constrained by...

    Z Kipling, P Stier, CE Johnson, GW Mann, N Bellouin, SE Bauer, T Bergman, M Chin, T Diehl, SJ Ghan, T Iversen, A Kirkevåg, H Kokkola, X Liu, G Luo, T van Noije, KJ Pringle, K von Salzen, M Schulz, Ø Seland, RB Skeie, T Takemura, K Tsigaridis, K Zhang | Status: published | Journal: Atmos. Chem. Phys. | Volume: 16 | Year: 2016 | First page: 2221 | Last page: 2241 | doi: 10.5194/acp-16-2221-2016

    Publication

  5. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

    Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

    Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

    Publication