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First 1573 results for ” Bas de Boer”

  1. Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China

    Himawari-8 (H8), as a new generation geostationary meteorological satellite, has great potential ...

    D Li, K Qin, L Wu, L Mei Uni Bremen, IUP, G de Leeuw, Y Xue, Y Shi, Y Li | Status: published | Journal: Remote Sensing | Volume: 987 | Year: 2020 | First page: 1 | Last page: 24 | doi: https://doi.org/10.3390/rs12060978

    Publication

  2. Rainfall measurement using cell phone links: classification of wet and dry periods using geostationary satellites

    Commercial cellular telecommunication networks can be used for rainfall estimation by measuring t...

    Schip, Overeem, Leijnse, Uijlenhoet, Meirink, Delden | Status: published | Journal: Hydrol. Sci. J. | Volume: 62 | Year: 2017 | First page: 1343 | Last page: 1353 | doi: 10.1080/02626667.2017.1329588

    Publication

  3. Deep ocean sound speed characteristics passively derived from the ambient acoustic noise field

    The propagation of acoustic waves in the ocean strongly depends on the temperature. Low-frequency...

    Evers, Wapenaar, Heaney, Snellen | Status: published | Journal: Geophys. J. Int. | Volume: 210 | Year: 2017 | First page: 27 | Last page: 33 | doi: 10.1093/gji/ggx061

    Publication

  4. Factors controlling rapid stratocumulus cloud thinning

    The relationship between the inversion stability and the liquid water path (LWP) tendency of a ve...

    JJ van der Dussen, SR de Roode, AP Siebesma | Status: published | Journal: J. Atmos. Sci. | Volume: 71 | Year: 2014 | First page: 655 | Last page: 664 | doi: 10.1175/JAS-D-13-0114.1

    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