4A.5 A New Generation Crowdsourcing Innovative Platform: Climate Intelligent Prediction and Analysis System (CIPAS2.0)

Tuesday, 9 January 2018: 9:30 AM
Room 17A (ACC) (Austin, Texas)
Guofu Wang, BCC, Beijing, China; and P. Shao and C. Sun

Beijing Climate Center (BCC) of China Meteorological Administration (CMA) has developed and completed one new generation Climate Intelligent Prediction and Analysis System (CIPAS2.0) in recent, which is a crowdsourcing innovative platform based on big data technology. Based on China Integrated Meteorological Information Service System (CIMISS), the data application environment of CIPAS2.0 contains observed, climate index, reanalysis, satellite and numerical forecast data and products, and storing data in Network Common Data Form (NetCDF) uniformly, is deployed on the cloud sharing platform. With the new technology architecture and development process to using, CIPAS2.0 was separated "operation" and "technology", and integrated into three parts: data file library, running platform and algorithm library, which has realized the unification of data, climate algorithm and climate prediction product. In CIPAS2.0, all operation processes have been customized by using process scheduling techniques, and with the “custom configuration” function, which support the new business process added, and realized the crowdsourcing innovation of the operation process. The algorithm library has strict access specification for all kinds of climate algorithm, as long as the algorithm comply with the Standard Specification for development, registration and invoking, it can monitor the whole process of the algorithm library. CIPAS2.0 realizes the unified deployment based on big data, meanwhile, through a unified algorithm integration platform, it provides a "climatic crowdsourcing innovation" platform for scientific research and operational personnel.
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