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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR3.O-4.3

Yet more evidence against the 2D-3D turbulence model: CloudSat cloud distributions confirm the 23/9 (2.55 D) scaling, stratified, turbulence model

Shaun Lovejoy, McGill University, Canada
Session:
Remote Sensing of Atmospheric Pollution I
Track:
Invited Sessions
Presentation Time:
Fri, 16 Jul, 12:55-13:10 (UTC)
Fri, 16 Jul, 14:55-15:10 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 20:55-21:10 China Standard Time (UTC +8)
Fri, 16 Jul, 08:55-09:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Yong Xue, China University of Mining and Technology and Xiran Zhou, China University of Mining and Technology
Session Manager:
Zhilong Yang
Presentation
Discussion
Resources
Session FR3.O-4
FR3.O-4.1: Assessment of Siberian Permafrost in the Climate Change regime
Costas Varotsos, National and Kapodistrian University of Athens, Greece; Vladimir Krapivin, Kotelnikov’s Institute of Radioengineering and Electronics, Fryazino Branch, Russian Academy of Sciences, Russia; Yong Xue, China University of Mining and Technology, China
FR3.O-4.3: Yet more evidence against the 2D-3D turbulence model: CloudSat cloud distributions confirm the 23/9 (2.55 D) scaling, stratified, turbulence model
Shaun Lovejoy, McGill University, Canada
FR3.O-4.4: FY-4A AOD BASED ESTIMATES THE MASS CONCENTRATION OF PM2.5 AND PM10 ON LAND
Yuxin Sun, Yong Xue, Kai Qin, Xiran Zhou, Xingxing Jiang, Chunlin Jin, Shuhui Wu, China University of Mining and Technology, China
FR3.O-4.5: ADVANCED ALGORITHM FOR AEROSOL RETRIEVAL FROM SENTINEL-2 MULTISPECTRAL INSTRUMENT DATA
Yingjie Li, Fang Chen, Shuguo Wang, Ming Li, Qingmiao Ma, Jiangsu Normal University, China
FR3.O-4.6: VALIDATION AND LONG TERM VARIATION ANALYSIS OF SATELLITE-DERIVED AIR POLLUTION COMPONENTS
Fang Chen, Yingjie Li, Qingmiao Ma, Shuguo Wang, Jiangsu Normal University, China

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