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- Title
How Well Can a Climate Model Simulate an Extreme Precipitation Event: A Case Study Using the Transpose-AMIP Experiment.
- Authors
Li, Jian; Chen, Haoming; Rong, Xinyao; Su, Jingzhi; Xin, Yufei; Furtado, Kalli; Milton, Sean; Li, Nina
- Abstract
A high-impact extreme precipitation event over the Yangtze River valley (YRV) in the midsummer of 2016 is simulated using the Climate System Model of Chinese Academy of Meteorological Sciences (CAMS-CSM). After validation of the model’s capability in reproducing the climatological features of precipitation over the YRV, the Transpose Atmospheric Model Intercomparison Project (T-AMIP)–type experiment, which runs the climate model in the weather forecast mode, is applied to investigate the performance of the climate model in simulating the spatial and temporal distribution of rainfall and the related synoptic circulation. Analyses of T-AMIP results indicate that the model realistically reproduces the heavy rainfall centers of accumulated precipitation amount along the YRV, indicating that the climate model has the ability to simulate the severity of the extreme event. However, the frequency–intensity structure shows similar biases as in the AMIP experiment, especially the underestimation of the maximum hourly intensity. The simulation of two typical heavy rainfall periods during the extreme event is further evaluated. The results illustrate that the model shows different performances during periods dominated by circulation systems of different spatial scales. The zonal propagation of heavy rainfall centers during the first two days, which is related to the eastward movement of the southwest vortex, is well reproduced. However, for another period with a smaller vortex, the model produces an artificial steady heavy rainfall center over the upwind slope of the mountains rather than the observed eastward movement of the precipitation centers.
- Subjects
CHINA; YANGTZE River (China); RAINFALL; RAINFALL anomalies; ATMOSPHERIC models; ATMOSPHERICS; CLIMATOLOGY; METEOROLOGICAL precipitation; RIVER ecology
- Publication
Journal of Climate, 2018, Vol 31, Issue 16, p6543
- ISSN
0894-8755
- Publication type
Article
- DOI
10.1175/JCLI-D-17-0801.1