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First 105 results for ” B Hirn”

  1. Impact of ASCAT Scatterometer Wind Observations on the High-Resolution Limited-Area Model (HIRLAM) within an Operational Context

    Denial experiments, also denoted observing system experiments (OSEs), are used to determine the i...

    S de Haan, GJ Marseille, P de Valk, J de Vries | Status: published | Journal: Weather and Forecasting | Year: 2013 | doi: https://doi.org/10.1175/WAF-D-12-00056.1

    Publication

  2. Hot-air balloon forecasts at KNMI, a validation study for the application of ECMWF and HIRLAM data

    This validation study focuses on the input data quality for the special hot-air balloon forecasts...

    Cisco de Bruijn, Bas de Haan, Paul de Valk, and Sander Tijm | Year: 2021 | Pages: 24

    Publication

  3. Evaluation of diabatic initialization improvements in the numerical weather prediction model Hirlam, focusing on the effect this may have on precipitation and dispersion forecasts

    GT Geertsema, BGJ Wichers Schreur | Status: published | Journal: Atmos. Environm. | Year: 2011 | First page: 6911 | Last page: 6916 | doi: 10.1016/j.atmosenv.2010.12.013

    Publication

  4. Model-based estimation of sampling-caused uncertainty in aerosol remote sensing for climate research applications

    To evaluate the effect of sampling frequency on the global monthly mean aerosol optical thickness...

    I Geogdzhayev, B Cairns, MI Mishchenko, K Tsigaridis, T van Noije | Status: published | Journal: Q.J.R. Meteorol. Soc. | Volume: 140 | Year: 2013 | First page: 2353 | Last page: 2363 | doi: 10.1002/qj.2305

    Publication

  5. First concurrent observations of NO2 and CO2 from power plant plumes by airborne remote sensing

    Combined NO2 and CO2 observations have the potential to constrain the identification of the locat...

    Tamaki Fujinawa, Akihiko Kuze, Hiroshi Suto, Kei Shiomi, Yugo Kanaya, Takahiro Kawashima, Fumie Kataoka, Shigetaka Mori, Henk Eskes, Hiroshi Tanimoto | Journal: Geophysical Research Letters | Volume: 48 | Year: 2021 | First page: e2021GL092685 | doi: 10.1029/2021GL092685

    Publication