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First 367 results for ” Kengo Sudo”

  1. Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals

    Methane retrievals from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography...

    P Bergamaschi, C Frankenberg, JF Meirink, M Krol, MG Villani, S Houweling, F Dentener, EJ Dlugokencky, JB Miller, LV Gatti, A Engel, I Levin | Status: published | Journal: J. Geophys. Res. | Volume: 114 | Year: 2009 | First page: D22301 | doi: 10.1029/2009JD012287

    Publication

  2. Comparison of TROPOMI/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki

    We present a comparison between satellite-based TROPOMI (TROPOspheric Monitoring Instrument) NO2p...

    Ialongo, I., Virta, H., Eskes, H., Hovila, J., and Douros, J | Journal: Atmos. Meas. Tech. | Volume: 13 | Year: 2020 | First page: 205 | Last page: 218 | doi: 10.5194/amt-13-205-2020

    Publication

  3. 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

  4. Rain False-Alarm-Rate Reduction for CSCAT

    In tropical regions, Ku-band scatterometer observations are affected by heavy rain, and affected ...

    Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IEEE Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2020 | doi: https://doi.org/10.1109/LGRS.2020.3039622

    Publication

  5. Generalization of Ku-Band False-Alarm Reduction Method and Application to Cscat

    Space-borne scatterometer observations are well-known ocean surface wind remote sensing instrumen...

    Xingou Xu, Ad Stoffelen, Wenming Lin, Xiaolong Dong | Journal: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium | Year: 2020 | doi: https://doi.org/10.1109/IGARSS39084.2020.9323921

    Publication