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First 227 results for ” Xin Tian”

  1. Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area.

    New Particle Formation (NPF) is an important process of secondary aerosol production in the atmos...

    Zhang Ying, Dai, Liuxin, Zhang, Peng, de Leeuw, Gerrit. Li, Zhengqiang, Fan Cheng, Ma, Jinji, | Journal: Science of the Total Environment (STOTEN) | Volume: 954 | Year: 2024 | First page: 176693 | Last page: 13 pp | doi: https://doi.org/10.1016/j.scitotenv.2024.176693

    Publication

  2. Disentangling the impacts of human and environmental change on catchment response during Hurricane Harvey

    Flooding is a function of hydrologic, climatologic, and land use characteristics. However, the re...

    A Sebastian, A Gori, RB Blessing, K van der Wiel, B Bass | Status: published | Journal: Environmental Research Letters | Volume: 14 | Year: 2019 | First page: 124023 | doi: 10.1088/1748-9326/ab5234

    Publication

  3. A Further Evaluation of the Quality Indicator Joss for Ku-Band Wind Scatterometry in Tropical Regions

    The quality control (QC) indicator Joss proposed in 2020 represents the spatial wind speed differ...

    Xingou Xu, Ad Stoffelen | Journal: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS | Year: 2021 | doi: https://doi.org/10.1109/IGARSS47720.2021.9553442

    Publication

  4. 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

  5. Improved Rain Screening for Ku-Band Wind Scatterometry

    Spaceborne scatterometers for ocean surface winds usually operate in Ku- or C-band. Rather strict...

    Xingou Xu, Ad Stoffelen | Journal: IEEE Transactions on Geoscience and Remote sensing | Volume: 58 | Year: 2019 | doi: https://doi.org/10.1109/TGRS.2019.2951726

    Publication