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《大气科学进展(英文版)》 2017-02
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Derivation of Cloud-Free-Region Atmospheric Motion Vectors from FY-2E Thermal Infrared Imagery

Zhenhui WANG;Xinxiu SUI;Qing ZHANG;Lu YANG;Hang ZHAO;Min TANG;Yizhe ZHAN;Zhiguo ZHANG;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, CMA Key Laboratory for Aerosol–Cloud Precipitation, Nanjing University of Information Science and Technology;School of Atmospheric Physics, Nanjing University of Information Science and Technology;Beijing Meteorological Office (Da Xing);  
The operational cloud-motion tracking technique fails to retrieve atmospheric motion vectors(AMVs) in areas lacking cloud; and while water vapor shown in water vapor imagery can be used, the heights assigned to the retrieved AMVs are mostly in the upper troposphere. As the noise-equivalent temperature difference(NEd T) performance of FY-2E split window(10.3–11.5 μm, 11.6–12.8 μm) channels has been improved, the weak signals representing the spatial texture of water vapor and aerosols in cloud-free areas can be strengthened with algorithms based on the difference principle, and applied in calculating AMVs in the lower troposphere. This paper is a preliminary summary for this purpose, in which the principles and algorithm schemes for the temporal difference, split window difference and second-order difference(SD) methods are introduced. Results from simulation and cases experiments are reported in order to verify and evaluate the methods, based on comparison among retrievals and the "truth". The results show that all three algorithms, though not perfect in some cases,generally work well. Moreover, the SD method appears to be the best in suppressing the surface temperature influence and clarifying the spatial texture of water vapor and aerosols. The accuracy with respect to NCEP 800 h Pa reanalysis data was found to be acceptable, as compared with the accuracy of the cloud motion vectors.
【Fund】: supported by the National Natural Science Foundation of China (Grant Nos. 41175035 and 40475018);; the National Basic Research Program of China (Grant No. 2009CB421502);; a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
【CateGory Index】: P407.6;P43
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