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First 1521 results for ” P Park”

1. Towards a European Cal/Val service for earth observation

   Societal dependence on, and commercial and scientific exploitation of Earth-Oriented remote sensi...

   Sterckx, Sindy; Brown, Ian; Kääb, Andreas; Krol, Maarten; Morrow, Rosemary; Veefkind, Pepijn; Boersma, K. Folkert; De Mazière, Martine; Fox, Nigel; Thorne, Peter | Journal: International Journal of Remote Sensing | Year: 2020 | doi: https://doi.org/10.1080/01431161.2020.1718240

   Publication

2. Defining aerosol layer height for UVAI interpretation using aerosol vertical distributions characterized by MERRA-2

   Aerosol vertical distributions are important for aerosol radiative forcing assessments and atmosp...

   J. Sun, J.P. Veefkind, P. van Velthoven, L.G. Tilstra, J. Chimot, S. Nanda, P.F. Levelt | Journal: Atmospheric Chemistry and Physics | Year: 2020 | doi: https://doi.org/10.5194/acp-2020-39

   Publication

3. 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

4. Toward the generation of a wind geophysical model function for spaceborne GNSS-R

   This paper presents a comprehensive procedure to improve the wind geophysical model function (GMF...

   Wenming Lin, Marcos Portabella, Giuseppe Foti, Ad Stoffelen, Christine Gommenginger, Yijun He | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 57 | Year: 2018 | doi: https://doi.org/10.1109/TGRS.2018.2859191

   Publication

5. 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