Web-system for processing and visualization of meteorological data for Siberian environment research
作者机构：Institute of Monitoring of Climatic and Ecological Systems SB RASTomskRussia Siberian Center for Environmental Research and TrainingTomskRussia
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2009年第2卷第S1期
页 面：105-119页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：Support by a number of national and international projects is appreciated partial support by SB RAS Basic Research Program 4.5.2(Project 2)and Integrated Projects 34 and 86 being specially acknowledged The project is also partially supported by FP6 EC Projects ENVIROMIS-2(INCO-CT-2006-031303) Enviro-RISKS(INCO-CT-2005-013427) as well as Russian Foundation for Basic Research(RFBR)grants 05-05-98010,06-07-89201-a
主 题：climate change geoinformatics global environmental change visualization
摘 要：At present,mainly GIS software is used for exploration and visualization of spatially distributed *** the same time an approach based on the combination of advanced web technologies along with the standard rules of information-computational system development is more suitable for performing tasks requiring more sophisticated data *** this report,functional capabilities of the information-computational system created for meteorological and climatic data processing and online visualization are *** system represents a dedicated web-interface,which allows performing of mathematical and statistical operations on the diverse observational and model data and to determine characteristics of global and regional climate *** such datasets as NCEP/NCAR Reanalysis,ECMWF ERA-40 Reanalysis,*** available for *** particular,the system allows calculating of temporal average and extremum values,time trends,*** arbitrary spatial and temporal ranges for different meteorological *** possibility of online intercomparison of meteorological characteristics calculated for different datasets is also realized in the *** final version of the system being developed is supposed to find application in meteorological and climatological investigations and should help researchers to save time during performing routine analytical tasks by simplifying handling of huge arrays of spatially distributed meteorological data.
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