Abstract
We present an approach and first results of a collaborative project being carried out by a joint team of researchers from the Institute of Monitoring of Climatic and Ecological Systems, Russia and Earth Systems Research Center UNH, USA. Its main objective is development of a hardware and software platform prototype of a Distributed Research Center (DRC) for monitoring and projecting of regional climatic and environmental changes in the Northern extratropical areas. The DRC should provide the specialists working in climate related sciences and decision-makers with accurate and detailed climatic characteristics for the selected area and reliable and affordable tools for their in-depth statistical analysis and studies of the effects of climate change. Within the framework of the project, new approaches to cloud processing and analysis of large geospatial datasets (big geospatial data) inherent to climate change studies are developed and deployed on technical platforms of both institutions. We discuss here the state of the art in this domain, describe web based information-computational systems developed by the partners, justify the methods chosen to reach the project goal, and briefly list the results obtained so far.
Highlights
The significant increase in the environmental data volumes and the necessity to store, search, retrieve, process, visualize, and analyze geospatial datasets made the traditional approaches questionable
The Distributed Research Center (DRC) should provide the specialists working in climate related sciences and decision-makers with accurate and detailed climatic characteristics for the selected area and reliable and affordable tools for their in-depth statistical analysis and studies of the effects of climate change
The geospatial datasets used in climate and environmental research require the application of a spatial data infrastructure (SDI) approach [6]
Summary
The significant increase in the environmental data volumes (up to a petabyte level) and the necessity to store, search, retrieve, process, visualize, and analyze geospatial datasets made the traditional approaches questionable. The developed prototype of a hardware and software platform supports integrated regional climate change studies in Siberia within the framework of the NEESPI Program [22] It combines Web 2.0 capabilities, tools for running climate models, processing and visualization of large geospatial datasets, and joint application development by dispersed research teams. To develop specialized DRC supporting interactive processing and analysis of large geospatial datasets using comprehensive computational and visualization tools the above-mentioned CLIMATE and RIMS systems have been chosen as a basis We describe these in detail and present an approach elaborated to reach the project ultimate objective. It will provide the specialists working in climate and related sciences focused on climate change impact assessment, adaptation strategies, and other climate related activities with accurate and detailed climatic characteristics and reliable tools for an in-depth statistical analysis
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