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Changes in the East Asian Summer Monsoon Rainfall under Global Warming

East Asian summer monsoon, as one of the most important global monsoon systems, provides most of the rainfall for China, Korea and Japan. Under global warming, the changes in the intensity, frequency and seasonal cycle of the EASM are crucial to the health and food safety for people living the East Asia.

Recently, Dr. ZHOU Shijie, Profs. HUANG Gang and HUANG Ping from the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences established an approach to evaluate the applicability of the moisture budget decompositions to the EASM rainfall changes and compared the applicability of two complete moisture budget decompositions and one simplified moisture budget decomposition by using this method. Then, the simplified moisture budget decomposition was applied to investigate the sources of intermodel uncertainty of the EASM rainfall changes.

Results of the study indicate that the applicability of the simplified moisture budget decomposition is very close to that of the complete moisture budget decomposition. In addition, this simplified moisture budget decomposition provides an efficient way to study the various aspects of the EASM rainfall changes. By analyzing the intermodel standard deviation and signal-to-noise ratio, they conclude that the EASM circulation changes are the largest source of the intermodel uncertainty of the EASM rainfall changes. On the other hand, the background circulation is also an important source of the intermodel uncertainty of the EASM rainfall changes. As the background circulation of model can be compared with observations, the result implies that the observational constraint method is potential to correct the intermodel spread of the thermodynamic component in the EASM rainfall changes.

This study has been published in Climate Dynamics.

Reference:

Zhou, S., G. Huang, and P. Huang, 2017: Changes in the East Asian summer monsoon rainfall under global warming: Moisture budget decompositions and the sources of uncertainty. Climate Dyn., doi:10.1007/s00382-017-3959-4. https://link.springer.com/article/10.1007%2Fs00382-017-3959-4

 
 
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