CHEN Ge, FANG Chao-yang. Application of RS and GIS Technologies in the Analysis of Global Sea Surface Wind Speed[J]. Journal of Remote Sensing, 2002, (2): 123-128. DOI: 10.11834/jrs.20020209.
Application of RS and GIS Technologies in the Analysis of Global Sea Surface Wind Speed
As the largest source of momentum for the ocean surface
wind affects the full range of oceanic motion and plays a very important part in air-sea interaction. It is recognized that remote sensing (RS) satellite has the capability of acquiring high quality marine winds with fine resolution in both space and time. Meanwhile
geographical information system(GIS) is becoming an unprecedented powerful tool for storing
processing
analyzing
and visualizing geo-spatial data. Jointly using RS and GIS technologies
a marine GIS(MGIS) system based on satellite data is developed for the analysis of global sea surface wind speed. TOPEX altimeter data between January 1993 and December 1998 which cover the oceanic areas within ±65° are used as input. An analytical model of wind speed is proposed
on the basis of which seasonal
annual and interannual variabilities (both intensity and timing) are derived. The MGIS consists of five functional modules: A database construction module
a human-computer interface module
a wind speed data preparation and analysis module
a graphic and image production module and a typical illustration management module. The system also includes three data files of model coefficient
coastal line
and typical graphics and images
respectively. A relational database structure is adopted by the system. As examples of the application of this MGIS
results of three thematic cases are presented
namely
the global marine wind climatology
the Asian Monsoon
and the El Ni*ko related interannual wind variability. These applications demonstrate the advantages of jointly using RS and GIS in oceanographic studies. We will continue to improve this MGIS by expanding its functionality and incorporating other key geophysical parameters into the system.
LIU Yingjie 中国科学院海洋研究所 海洋环流与波动重点实验室;中国科学院海洋研究所 海洋观测与预报重点实验室和海洋环流与波浪重点实验室
Li Xiaofeng 中国科学院海洋研究所 海洋环流与波动重点实验室;中国科学院海洋研究所 海洋观测与预报重点实验室和海洋环流与波浪重点实验室
WANG Haoyu 中国科学院海洋研究所 海洋环流与波动重点实验室;中国科学院海洋研究所 海洋观测与预报重点实验室和海洋环流与波浪重点实验室;中国科学院大学 海洋学院
YANG Xiaofeng 南京大学 空间地球科学研究院
XU Qing 中国海洋大学 海洋技术学院
GUAN Lei 中国海洋大学 海洋技术学院
GAO Le 中国科学院海洋研究所 海洋环流与波动重点实验室;中国科学院海洋研究所 海洋观测与预报重点实验室和海洋环流与波浪重点实验室
相关机构
Ocean Remote Sensing Institute, Ocean University of Qingdao
Ocean University of China, College of Marine Technology
Institute of Space and Earth Sciences, Nanjing University
School of Oceanography, University of Chinese Academy of Sciences
Key Laboratory of Ocean Observation and Forecasting and Key Laboratory of Ocean Circulation and Waves, Institute of Oceanography, Chinese Academy of Sciences