全球气候变化模拟结果数据的远程抽取及其可视化

Abstract

Abstract: In this paper, directing at the visualization and analysis of diagnostic methods of Tb~Pb magnitude of four dimensional volume data from a large scale numerical simulation about the climate pattern. We proposed the remote data extraction and parallel visualization solutions based on Server-Client. For extraction and visualization numerical test analysis on the climate simulation results of Ocean mode and atmospheric model, we verified the feasibility of the solution and efficiency, reliability and flexibility of the extraction algorithm. The remote data extraction had an important application value for experts in the field of climate model, in rapid extraction, fast visualization and real time interactive diagnosis analysis of simulation results.

Key words: Remote extraction, Parallel visualization, Climate model, Massive data

CLC Number:

P315

TAN Qing-hai, DENG Chun-lin, LIU Jun, SHAN Gui-hua, ZHANG Huai. Remote Data Extraction and Visualization in the Simulation Results of Global Climate Change[J]. EARTHQUAKE, 2013, 33(4): 153-161.

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Remote Data Extraction and Visualization in the Simulation Results of Global Climate Change

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