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First 149 results for ” R & Otto”

  1. EARLINET evaluation of the CATS Level 2 aerosol backscatter coefficient product

    We present the evaluation activity of the European Aerosol Research Lidar Network (EARLINET) for ...

    E Proestakis, V Amiridis, I Binietoglou, E Marinoe, A Ansmann, U Wandinger, J Hofer, J Yorks, E Nowottnick, A Makhmudov, A Papayannis, A Pietruczuk, A Galitaki, A Apituley | Status: published | Journal: Atm. Chem. Phys. | Year: 2019 | doi: https://doi.org/10.5194/acp-19-11743-2019

    Publication

  2. Added value of regional reanalysis for climatological applications

    Regional reanalyses constitute valuable new data sources for climatological applications, by prov...

    AK Kaiser-Weiss, M Borsche, D Niermann, F Kaspar, C Lussanna, F Isotta, EJM van den Besselaar, G van der Schrier, P Unden | Status: published | Journal: Environmental Research Letters | Year: 2019 | doi: 10.1088/2515-7620/ab2ec3

    Publication

  3. Evaluation of Aeolus L2B wind product with wind profiling radar measurements and numerical weather prediction model equivalents over Australia

    Carrying a laser Doppler instrument, the Aeolus satellite was launched in 2018, becoming the firs...

    Haichen Zuo, Charlotte Bay Hasager, Ioanna Karagali, Ad Stoffelen, Gert-Jan Marseille, and Jos de Kloe | Journal: Atmos. Meas. Tech. | Volume: 15 | Year: 2022 | First page: 4107 | Last page: 4124 | doi: https://doi.org/10.5194/amt-15-4107-2022

    Publication

  4. From proof-of-concept to proof-of-value: Approaching third-party data to operational workflows of national meteorological services

    National meteorological services (NMS) are limited by practical and financial boundaries in the n...

    Irene Garcia-Marti Aart Overeem Jan Willem Noteboom Lotte de Vos Marijn de Haij Kirien Whan | Journal: International Journal of Climatology | Year: 2022 | First page: 1 | Last page: 18 | doi: 10.1002/joc.7757

    Publication

  5. Improving precipitation nowcasting for high-intensity events using deep generative models with balanced loss and temperature data: A case study in the Netherlands

    Precipitation nowcasting is essential for weather-dependent decision-making, but it remains a cha...

    Charlotte Cambier van Nooten, Koert Schreurs, Jasper S. Wijnands, Hidde Leijnse, Maurice Schmeits, Kirien Whan, Yuliya Shapovalova | Journal: Artificial Intelligence for the Earth Systems | Volume: 2 | Year: 2023 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1175/AIES-D-23-0017.1

    Publication