News & Events
The 16th International Seminar on Climate System and Climate Change Opened in Kunming
Model Prediction
Monthly / Seasonal
ENSO
Indices / WPCT / SSTA ...
CMMEv1.0
SST / IOD / NAST / AO
BCC_CSM1.1
Forecast: Jul 2016-now
Seasonal Prediction Data
BCC-CGCM1.0
Sea (SST / SSTA)
OISSTv2 / BCC_GODAS2.0
DERF 2.0
Monthly Prediction
VECOM2.0
BCC / FGOALS / NCEP / ECMWF ...
WPSH
Area / Intesity / Ridge ...
Projects
Climate Risk Assessment of Xiongan New Area
Global Atmosphere Watch Programme
The South-to-North Water Diversion Project
Qinghai-Tibet Railway
Three Gorges Project
Global Observing System
Drought monitor and predict system
Climate & Climate-Change operational application system of FY-3 satellite
Tools
Beijing Climate Center (BCC) of China Meteorological Administration (CMA) has recently developed and completed a new-generation Climate Intelligent Prediction and Analysis System (CIPAS2.3), which is a crowdsourcing innovative platform based on the big data technology.
As an effort to improve the operational prediction of ENSO, Beijing Climate Center has launched "System of ENSO Monitoring, Analysis and Prediction" (SEMAP2.0) in 2015. The SEMAP2.0 provides three kinds of ENSO prediction products routinely in the middle of each month.
This system supports seven major disasters, i.e., rainstorm, flood, typhoon, drought, high temperature, low temperature, ocean gale, and global typhoon. It is a whole-process disaster risk operation integrating disaster monitoring and identification, impact assessment, risk prediction, risk zoning and online product analysis. It can be used to generate 1900 disaster risk products in seven categories.
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Links to GPC websites
Links to NMHSs in RA II
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