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First 580 results for ” WR Leatch”

  1. Sensitivity of liquid cloud optical thickness and effective radius retrievals to cloud bow and glory conditions using two SEVIRI imagers

    Retrievals of cloud properties from geostationary satellite sensors offer extensive spatial and t...

    Benas, N., Meirink, J. F., Stengel, M., and Stammes, P | Journal: Atmospheric Measurement Techniques | Year: 2019 | doi: https://doi.org/10.5194/amt-12-2863-2019

    Publication

  2. Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations

    Wind scatterometry is an established technique for accurately measuring wind vectors over the wor...

    Jur Vogelzang, Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1002/qj.3349

    Publication

  3. An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic

    Accurate determination of radiative energy fluxes over the Arctic is of crucial importance for un...

    Riihel¨a, A., Key, J. R., Meirink, J. F., Kuipers Munneke, P., Palo, T., and Karlsson, K.-G | Journal: Journal of Geophysical Research (Atmospheres) | Year: 2017 | doi: https://doi.org/10.1002/2016JD026443

    Publication

  4. WFCatalog: a catalogue for seismological waveform data

    This paper reports advances in seismic waveform description and discovery leading to a new seismo...

    Luca Trani, Mathijs Koymans, Malcolm Atkinson, Reinoud Sleeman and Rosa Filgueira | Status: submitted | Journal: Computers and Geosciences | Volume: 106 | Year: 2017 | First page: 101 | Last page: 108 | doi: https://doi.org/10.1016/j.cageo.2017.06.008

    Publication

  5. A Conceptual Rain Effect Model for Ku-band Scatterometers

    Satellite scatterometer wind retrieval is affected by rain. Both the precipitating clouds in the ...

    Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264246

    Publication