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First 1284 results for ”HAM Sterk”

1. Technical description of the KNMI Rainfall Generators for the Rhine and Meuse basins

   This report gives a technical description of what is briefly known as the KNMI Rainfall (or Weath...

   Jules J. Beersma, T. Adri Buishand and Maurice J. Schmeits | Year: 2014 | Pages: 32

   Publication

2. The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products

   The EarthCARE mission aims to probe the Earth's atmosphere by measuring cloud and aerosol profile...

   Irbah, A., Delanoë, J., van Zadelhoff, G.-J., Donovan, D. P., Kollias, P., Puigdomènech Treserras, B., Mason, S., Hogan, R. J., and Tatarevic, A | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 2795 | Last page: 2820 | doi: 10.5194/amt-16-2795-2023

   Publication

3. An evaluation of the use of regional climate model data applied to extreme precipitation in the Meuse basin

   In July 2021, unprecedented extreme precipitation led to enormous summer discharges that were nev...

   L. van Voorst, H. van den Brink | Year: 2023 | Pages: 100

   Publication

4. Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty

   Global mapping of satellite tropospheric NO2 vertical column density (VCD), a key gas in air qual...

   Chimot, J.; Veefkind, J. P.; de Haan, J. F.; Stammes, P.; Levelt, P. F. | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-491-2019

   Publication

5. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach

   This paper presents an exploratory study on the aerosol layer height (ALH) retrieval from the OMI...

   Chimot, J.; Veefkind, J. P.; Vlemmix, T.; de Haan, J. F.; Amiridis, V.; Proestakis, E.; Marinou, E.; Levelt, P. F. | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: https://doi.org/10.5194/amt-10-783-2017

   Publication