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First 2732 results for ” M Prodanova”

  1. Comparison of Ocean Surface Rain Rates From the Global Precipitation Mission and the Meteosat Second-Generation Satellite for Wind Scatterometer Quality Control

    Ocean surface rain rate information is crucial for quality control (QC) research in wind scattero...

    Xu, X., Stoffelen, A., and Meirink, J. F | Journal: IEEE Journal of Selected Topics in Applied Earth Observations, Remote Sensing | Volume: 13 | Year: 2020 | doi: https://doi.org/10.1109/JSTARS.2020.2995178

    Publication

  2. Global satellite observations of greenhouse gas emissions

    The EVERGREEN project, funded by the European Commission’s 5th Framework Environmental Programme ...

    APH Goede, JF Meirink, et al. | Journal: E.G.U. Newsletter | Volume: 21 | Year: 2007 | First page: 26 | Last page: 32

    Publication

  3. ECA&D: A high-resolution dataset for monitoring climate change and effects on viticulture in Europe

    Climate change will lead to persistent changes in temperature and precipitation patterns which wi...

    G van der Schrier, G Horstink, EJM van den Besselaar, AMG Klein Tank | Conference: proceedings of the IXth Intern. Terroir Congres | Organisation: Centre de Recherches de Climatologie / Biogeosciences - Université de Bourgogne | Place: Dijon en Reims | Year: 2012 | First page: 0 | Last page: 0

    Publication

  4. Sea Ice Screening Ability in Ku-Band and C-Band Wind Scatterometry

    In polar regions, sea ice introduces deviations of scatterometer observations from the empirical ...

    Xingou Xu, Ad Stoffelen | Journal: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium | Year: 2023 | doi: 10.1109/IGARSS52108.2023.10283179

    Publication

  5. CRAAS: A European Cloud Regime dAtAset Based on the CLAAS-2.1 Climate Data Record

    Given the important role of clouds in our planet’s climate system, it is crucial to further impro...

    Tzallas, V.; Hünerbein, A.; Stengel, M.; Meirink, J.F.; Benas, N.; Trentmann, J.; Macke, A. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: 10.3390/rs14215548

    Publication