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First 2379 results for ” K Metselaar”

  1. Internal Wave and Turbulence Observations with Very High-Resolution Temperature Sensors along the Cabauw Mast

    Knowledge about the characteristics of the atmospheric boundary layer is vital for the understand...

    H van Haren and FC Bosveld | Journal: JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY | Volume: 39 | Year: 2022 | First page: 1149 | Last page: 1165 | doi: 10.1175/JTECH-D-21-0153.1

    Publication

  2. A Study on Combined C- and Ku-Band Rain Effects for Wind Scatterometry Quality Control

    Scatterometers provide consistent observations of ocean surface wind with reliable quality. In tr...

    Xingou Xu, Saibun Tjuatja, Ad Stoffelen, Xiaolong Dong | Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium | Year: 2020 | doi: https://doi.org/10.1109/IGARSS39084.2020.9323343

    Publication

  3. Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models

    This study provides a comprehensive assessment of NO2 changes across the main European urban area...

    Jérôme Barré, John Douros | Journal: Atmospheric Chemistry and Physics | Volume: Volume 21, Issue 9 | Year: 2021 | doi: https://doi.org/10.5194/acp-21-7373-2021

    Publication

  4. Intercalibration of Backscatter Measurements among Ku-Band Scatterometers Onboard the Chinese HY-2 Satellite Constellation

    The Chinese HY-2D satellite was launched on 19 May 2021, carrying a Ku-band scatterometer. Togeth...

    Zhixiong Wang, Juhong Zou, Youguang Zhang, Ad Stoffelen, Wenming Lin, Yijun He, Qian Feng, Yi Zhang, Bo Mu, Mingsen Lin | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13234783

    Publication

  5. Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

    Wind retrieval parameters, i.e. quality indicators and the two-dimensional variational ambiguity ...

    Xingou Xu, Ad Stoffelen | Journal: Atmospheric Measurement Techniques | Volume: 14 | Year: 2021 | doi: https://doi.org/10.5194/amt-14-7435-2021

    Publication