Vol. 325 No. 5 (2014): Информационные технологии

Developing web applications to calculate correlation coefficient for climatic and meteorological parameters

The urgency of the discussed issue is caused by the need to systematize the processing and analysis of georeferenced data. The main aim of the study is to develop web application for calculating the correlation coefficient between the different parameters on the basis of software and hardware platform «Climate», providing the calculation result in graphical form. The methods used in the study: correlation and regression analysis, system analysis, client-server applications, geographic information system technology. The results. The paper introduces the results of development of the Web-GIS application which is designed to calculate the correlation coefficient and the results of its use for analyzing climatic and meteorological characteristics of the series of spatially distributed environmental data. Calculation of correlation coefficients is possible for different sets of meteorological data - NCEP/NCAR reanalysis, JRA-25 reanalysis, JMA/CRIEPI reanalysis, ECMWF ERA-40 and ERA reanalyses. The result is presented in graphical form - in the coordinate plane of factor and resultative attributes (field correlation) for climatic and environmental characteristics. Based on functionality of the developed Web-GIS application the authors have researched Siberia climate using the reanalysis data and instrumental observations of terrestrial network of meteorological stations. The study allows us to analyze the changes in reanalysis data in local regions not just as smooth perturbations, but as sources of inhomogeneities having a specific geographical reference to particular ecosystems of the region. Additionally, there is a possibility of using the obtained archives of regional meteorology as input and initial data of different climatic and meteorological processes models on the territory of Western Siberia (e. g., vegetation dynamics model, the model of greenhouse gas emissions, etc.).

Keywords:

information-computational system, web-technologies, spatially-referenced data, GIS, climate change

Authors:

Eugeny Gordov

Alexander Titov

Andrey Pritupov

Igor Botygin