Architecture of a spatial data service system for statistical analysis and visualization of regional climate changes

International Conference on Computational Information Technologies for Environmental Sciences 2017

生态环境科学;计算机科学

Titov, A.G.^1,2 ; Okladnikov, I.G.^1,2 ; Gordov, E.P.^1,2

Institute of Monitoring of Climatic and Ecological Systems SB RAS, Tomsk, Russia^1

V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia^2

关键词: Computational infrastructure;    Distributed architecture;    Geospatial data processing;    Regional climate changes;    Spatial data infrastructure;    Statistical processing;    Virtual research environment;    Visualization Web services;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/96/1/012012/pdf
DOI  :  10.1088/1755-1315/96/1/012012

来源: IOP

【 摘 要 】

The use of large geospatial datasets in climate change studies requires the development of a set of Spatial Data Infrastructure (SDI) elements, including geoprocessing and cartographical visualization web services. This paper presents the architecture of a geospatial OGC web service system as an integral part of a virtual research environment (VRE) general architecture for statistical processing and visualization of meteorological and climatic data. The architecture is a set of interconnected standalone SDI nodes with corresponding data storage systems. Each node runs a specialized software, such as a geoportal, cartographical web services (WMS/WFS), a metadata catalog, and a MySQL database of technical metadata describing geospatial datasets available for the node. It also contains geospatial data processing services (WPS) based on a modular computing backend realizing statistical processing functionality and, thus, providing analysis of large datasets with the results of visualization and export into files of standard formats (XML, binary, etc.). Some cartographical web services have been developed in a system's prototype to provide capabilities to work with raster and vector geospatial data based on OGC web services. The distributed architecture presented allows easy addition of new nodes, computing and data storage systems, and provides a solid computational infrastructure for regional climate change studies based on modern Web and GIS technologies.