About this International Collaboration


Many are concerned about climate change and one of the most important climate research problems is understanding the relationship between oceans and the global climate. A significant challenge facing climatologists and meteorologists today is making sense of the vast and continually increasing amount of data generated by earth observation satellites, radars, and sensor networks. These data are increasingly available in high-resolution image formats and must be incorporated correctly into climate change models. Timely and proper interpretation of these data can provide advanced warnings for severe weather, enabling action that minimizes the resulting damage and saving lives. Computerized systems for cross-modality image query, mining, and recovery by content are becoming essential. This project will form an international multi-disciplinary virtual organization to develop an efficient data modeling cross mining and retrieval system for satellite images and other sensor data applied to mesoscale ocean structures. The team will take a novel data-driven approach, designing an image retrieval system using advanced knowledge management and statistical learning techniques and developing advanced technologies for large-scale image and sensor network data management.

These developments will advance the fields of computer and information sciences, meteorology, and climatology and the open-source platform will benefit the researchers and developers of remote sensing systems. This system will enable real-time monitoring of severe weather and climate change and the discovery and analysis of the evolution of various ocean phenomena. This project will increase our knowledge of atmospheric and oceanic circulations and interactions, improving our understanding of the mechanism of climate change and clarifying the potential for environmental catastrophes and economic boondoggles. Through active collaboration with foreign researchers and institutions across the Atlantic and the Pacific, the virtual organization will coordinate and streamline research efforts while increasing the value of available resources and developing a graduate student exchange program.

Current key participants of the network include:

Ed Adams, AccuWeather, USA
Jesus M. Almendros-Jimenez, University of Almeria, Spain
Narayanan Alwar, NAVTEQ, USA
Jeff Bach, NAVTEQ, USA
Manuel Canton, University of Almeria, Spain
Xin Chen, NAVTEQ, USA
Vassilis G. Kaburlasos, Technological Educational Institution of Kavala, Greece
Jia Li, The Pennsylvania State University, USA
Qingyong Li, The Pennsylvania State University, USA, and Beijing Jiaotong University, China
Ruqian Lu, Chinese Academy of Sciences, China
Jose Antonio Piedra Fernandez, University of Almeria, Spain
Jonathan C. Porter, AccuWeather, USA
Michael Sager, AccuWeather, USA
Steven R. Smith, AccuWeather, USA
Joe Sobel, AccuWeather, USA
Michael Steinberg, AccuWeather, USA
Poonam Suryanarayan, The Pennsylvania State University, USA
James Z. Wang, The Pennsylvania State University, USA (point of contact)
Luis Garcia Weil, University of Las Palmas de Gran Canaria, Spain
Kyu-Young Whang, Korea Advanced Institute of Science and Technology, S. Korea
Stephen Wistar, AccuWeather, USA
Yu Zhang, The Pennsylvania State University, USA


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