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Predicting Climate Anomalies Still Remains Challenging

Sep 01, 2021

Climate change and meteorological disasters have become grave challenges to human beings. Because of global warming and the increasing extreme weather and climate events it has caused, meteorological disasters have led to worsening socioeconomic damage throughout the world in recent decades.

Effective climate prediction is critical to reducing the damage from weather and climate disasters. However, there are still many challenging problems, both in the theory and approaches of climate prediction, which are related to the climatic variability at multiple time scales and the interactions among the atmosphere, ocean, land and cryosphere.

To understand the predictability of climate and to improve the prediction of climate anomalies, the Center for Climate System Prediction Research (CCSP) was co-established in 2020 by Nanjing University of Information Science and Technology and Sun Yat-Sen University.

An introduction of CCSP's research framework was published in Atmospheric and Oceanic Science Letters on August 13.

Research framework of CCSP (Image by CCSP)
"CCSP focuses mainly on three scientific problems related to climate prediction: El Nino–Southern Oscillation (ENSO), extended-range weather forecasting, and interannual-to-decadal climate prediction," said Prof. WANG Huijun, the PI of CCSP. Prof. WANG is also the director of the CAS Climate Change Research Center (CCRC). 
The center aims to tackle various scientific frontiers, including the dynamical theory of the monsoon system, ultra-high-resolution land-surface process modeling, tropical air–sea interaction, intraseasonal oscillation, and interannual-to-decadal climate predictability.
Breakthroughs in these areas may improve the level and accuracy of climate prediction, and hence provide important technological support in terms of disaster prevention and mitigation, development of ecological civilization, and adaptation to climate change.
Contact

LIN Zheng

Institute of Atmospheric Physics

E-mail:

Predicting climate anomalies: a real challenge

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