Presentation + Paper
9 October 2019 International reanalysis cooperation on carbon satellites data
Author Affiliations +
Abstract
According to current huge data requirements for the global climate change assessment, DBAR Data Sharing Principles, as well as the national policymaking in response to the global agreement (Framework Convention on Climate Change (FCCC)) on combating climate change, to reform the research mode of carbon data based exploration, to integrate carbon satellite data, models and computing technologies to advance interdisciplinary study, and to implement a big earth data e-science platform for global carbon researches are very essential and necessary. Cooperation on the Analysis of carbon Satellites data (CASA), a new international scientific programme, was approved by the Chinese Academy of Sciences (CAS) in 2018, which was participated by CAS/Institute of Atmospherics Physics and National Super Computer Center in Wuxi. Massive data resources (standard, value-added carbon satellite products and auxiliary data), relevant analysis models, and the super-computing capacity (100 trillion FLOPs computing power and 1 PB of storage) has been integrating into the CASA big e-science platform. Forthcoming products, including carbon satellites standard products, higher precision CO2 reprocessed products, and application dataset based on above two kinds of CO2 products, are processed and analyzed online on the CASA e-science platform. The first global XCO2 product produced from TanSat will be released at September of 2019. Research mode of carbon data-based is going to be reformed under the support of big data and supercomputing power.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Zhao, L. Yao, Z. C. Huang, L. C. Zhang, Y. Liu, and G. Q. Li "International reanalysis cooperation on carbon satellites data", Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 111520L (9 October 2019); https://doi.org/10.1117/12.2538614
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Cited by 1 scholarly publication.
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