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First 2983 results for ” V Convertito”

1. On the Accuracy and Consistency of Quintuple Collocation Analysis of In Situ, Scatterometer, and NWP Winds

   The accuracy and consistency of a quintuple collocation analysis of ocean surface vector winds fr...

   Jur Vogelzang, Ad Stoffelen | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14184552

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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

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3. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite

   Southeast Australia experienced intensive and geographically extensive wildfires during the 2019–...

   van der Velde, Ivar R.; van der Werf, Guido R.; Houweling, Sander; Maasakkers, Joannes D.; Borsdorff, Tobias; Landgraf, Jochen; Tol, Paul; van Kempen, Tim A.; van Hees, Richard; Hoogeveen, Ruud; Veefkind, J. Pepijn; Aben, Ilse | Journal: Nature | Year: 2021 | doi: https://doi.org/10.1038/s41586-021-03712-y

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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

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5. Source contribution analysis of tropospheric NO2 based on two-dimensional MAX-DOAS measurements

   Ground-based two-dimensional (2D) Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DO...

   Yang, T., F. Si, Y. Luo, K. Zhan, P. Wang, H. Zhou, M. Zhao and W. Liu | Journal: Atmospheric Environment | Year: 2019 | doi: https://doi.org/10.1016/j.atmosenv.2019.04.058

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