Wind profiling radar based on remote sensing

Xiang Yuan Bu; Jian Ping An; Yong Wang

Wind profiling radar based on remote sensing

Xiang Yuan Bu^*, Jian Ping An, Yong Wang

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Studies the measuring distance of wind profiling radar and the rules of change of structure coefficient for troposphere atmosphere turbulence (C_n²) for different seasons in China. According to the test records of wind profiler in recent years, analyzed and discussed experimentation data of north China and the principles of wind profiler compostion were introduced. Wind profiler radar equations and formulas of maximum measuring distance estimation were also derived. It is concluded that C_n² changes in different areas is the main reason for wind profiler measuring distance estimation errors. The test data proves the undulation of C̄_n² with seasons is not very obvious and smaller than that of the boundary-layer atmosphere. Furthermore, the loss of signal processing is not the ignored factor for wind profiler measuring distance estimation.

Original language	English
Pages (from-to)	440-443
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	28
Issue number	5
Publication status	Published - May 2008

Keywords

Atmosphere structure coefficient
Remote sensing
Wind profiler
Wind profiling radar

Cite this

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title = "Wind profiling radar based on remote sensing",

abstract = "Studies the measuring distance of wind profiling radar and the rules of change of structure coefficient for troposphere atmosphere turbulence (Cn2) for different seasons in China. According to the test records of wind profiler in recent years, analyzed and discussed experimentation data of north China and the principles of wind profiler compostion were introduced. Wind profiler radar equations and formulas of maximum measuring distance estimation were also derived. It is concluded that Cn2 changes in different areas is the main reason for wind profiler measuring distance estimation errors. The test data proves the undulation of {\=C}n2 with seasons is not very obvious and smaller than that of the boundary-layer atmosphere. Furthermore, the loss of signal processing is not the ignored factor for wind profiler measuring distance estimation.",

keywords = "Atmosphere structure coefficient, Remote sensing, Wind profiler, Wind profiling radar",

author = "Bu, {Xiang Yuan} and An, {Jian Ping} and Yong Wang",

year = "2008",

month = may,

language = "English",

volume = "28",

pages = "440--443",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

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TY - JOUR

T1 - Wind profiling radar based on remote sensing

AU - Bu, Xiang Yuan

AU - An, Jian Ping

AU - Wang, Yong

PY - 2008/5

Y1 - 2008/5

N2 - Studies the measuring distance of wind profiling radar and the rules of change of structure coefficient for troposphere atmosphere turbulence (Cn2) for different seasons in China. According to the test records of wind profiler in recent years, analyzed and discussed experimentation data of north China and the principles of wind profiler compostion were introduced. Wind profiler radar equations and formulas of maximum measuring distance estimation were also derived. It is concluded that Cn2 changes in different areas is the main reason for wind profiler measuring distance estimation errors. The test data proves the undulation of C̄n2 with seasons is not very obvious and smaller than that of the boundary-layer atmosphere. Furthermore, the loss of signal processing is not the ignored factor for wind profiler measuring distance estimation.

AB - Studies the measuring distance of wind profiling radar and the rules of change of structure coefficient for troposphere atmosphere turbulence (Cn2) for different seasons in China. According to the test records of wind profiler in recent years, analyzed and discussed experimentation data of north China and the principles of wind profiler compostion were introduced. Wind profiler radar equations and formulas of maximum measuring distance estimation were also derived. It is concluded that Cn2 changes in different areas is the main reason for wind profiler measuring distance estimation errors. The test data proves the undulation of C̄n2 with seasons is not very obvious and smaller than that of the boundary-layer atmosphere. Furthermore, the loss of signal processing is not the ignored factor for wind profiler measuring distance estimation.

KW - Atmosphere structure coefficient

KW - Remote sensing

KW - Wind profiler

KW - Wind profiling radar

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SN - 1001-0645

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JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 5

ER -

Wind profiling radar based on remote sensing

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Keywords

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