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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

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