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Yixuan Shou   Dr.  University Educator/Researcher 
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Yixuan Shou published an article in July 2016.
Top co-authors
Shenshen Li

64 shared publications

3
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Distribution of Articles published per year 
(2006 - 2016)
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3
 
Publications
CONFERENCE-ARTICLE 3 Reads 0 Citations A Satellite View of the Atmospheric Dry Intrusion and its Influences on the Mid-Latitude Disastrous Weather Yixuan Shou Published: 15 July 2016
The 1st International Electronic Conference on Atmospheric Sciences, doi: 10.3390/ecas2016-C001
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Dry intrusion is an important mid-latitude atmosphere phenomenon within the upper troposphere and lower stratosphere. It is always found to be related to the cyclogenesis, rainstorm, as well as convection generation and precipitation enhancement. Since the atmosphere environment for any of these above-mentioned weather is terribly complicated, those preexisting popular schemes which takes no account of water vapor may not suitable for detecting the dry intrusion related to these weathers. With regard to the merits and demerits of the current preexisting schemes, a new scheme based on Fengyun-2E geo-stationary satellite data is presented in this study to detect the atmospheric dry intrusion. The scheme is set up based on the statistical relationship between water vapor at high level troposphere, the general moist potential vorticity, ozone concentration and upper-level jet. After using the total amount of ozone and ozone profile operational products retrieved by Fengyun-3 Polar Orbiting Meteorological Satellites and the potential vorticity calculated by ECMWF Interim data for validation, this scheme is applied to analyze two typical middle-latitude weather processes. One is the famous Beijing extreme rainfall of 21 July 2012 and the other is a hailstorm occurred on the eastern China during March 19, 2014. A good application effect in both cases suggests that our new method of detecting dry intrusion is feasible and can be helpful in middle-latitude disastrous weather monitoring and forecasting.

Conference 0 Reads 0 Citations Channel simulation for FY-4 AGRI Feng Lu, Yixuan Shou Published: 01 July 2011
2011 IEEE International Geoscience and Remote Sensing Symposium, doi: 10.1109/igarss.2011.6049916
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The FY-4 is the new generation of China's Geosynchronous meteorological satellite, the main payload onboard the satellite is the Advanced Geosynchronous Radiation Imager (AGRI),Geosynchronous Interferometric Infrared Sounder(GΠRS), Lighting Mapping( LMI) and Space Environment Package(SEP).The first experiment satellite FY-4A is scheduled to be launched on 2015. The AGRI will provide an significant advancements over the current FY-2 VISSR in several key areas, including more spectral channel, faster imaging and higher spatial resolution. The AGRI channel performance and top-of-atmosphere (TOA) radiance simulation on Typhoon Sinlaku 2008 will be discussed in this paper.
Article 0 Reads 0 Citations Application of a cloud-texture analysis scheme to the cloud cluster structure recognition and rainfall estimation in a m... Yixuan Shou, Shenshen Li, Shaowen Shou, Zhongming Zhao Published: 01 October 2006
Advances in Atmospheric Sciences, doi: 10.1007/s00376-006-0767-x
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It is thought that satellite infrared (IR) images can aid the recognition of the structure of the cloud and aid the rainfall estimation. In this article, the authors explore the application of a classification method relevant to four texture features, viz. energy, entropy, inertial-quadrature and local calm, to the study of the structure of a cloud cluster displaying a typical meso-scale structure on infrared satellite images. The classification using the IR satellite images taken during 4–5 July 2003, a time when a meso-scale torrential rainstorm was occurring over the Yangtze River basin, illustrates that the detailed structure of the cloud cluster can be obviously seen by means of the neural network classification method relevant to textural features, and the relationship between the textural energy and rainfall indicates that the structural variation of a cloud cluster can be viewed as an exhibition of the convection intensity evolvement. These facts suggest that the scheme of following a classification method relevant to textural features applied to cloud structure studies is helpful for weather analysis and forecasting.