Performance of the seasonal forecasting of the Asian summer monsoon by BCC_CSM1.1(m)

• Published in: Advances in atmospheric sciences Vol. 32; no. 8; pp. 1156 - 1172
• Main Authors: Liu, Xiangwen, Wu, Tongwen, Yang, Song, Jie, Weihua, Nie, Suping, Li, Qiaoping, Cheng, Yanjie, Liang, Xiaoyun
• Format: Journal Article
• Language: English
• Published: Heidelberg Science Press 01.08.2015; Springer Nature B.V; National Climate Center, China Meteorological Administration, Beijing 100081; Laboratory for Climate Studies, China Meteorological Administration, Beijing 100081%National Climate Center, China Meteorological Administration, Beijing 100081%Department of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275
• Subjects: Atmospheric Sciences; Climate system; Climatology; Earth and Environmental Science; Earth Sciences; Forecasting; Geophysics/Geodesy; Meteorology; Monsoons; Oceans; Sea surface temperature; Seasons; Southern Oscillation; Summer; Tidal waves; Weather forecasting; forecast skill; Asian summer monsoon; lead time; sea surface temperature
• ISSN: 0256-1530; 1861-9533
• DOI: 10.1007/s00376-015-4194-8

This paper provides a comprehensive assessment of Asian summer monsoon prediction skill as a function of lead time and its relationship to sea surface temperature prediction using the seasonal hindcasts of the Beijing Climate Center Climate System Model, BCC CSM1.1(m). For the South and Southeast Asian summer monsoon, reasonable skill is found in the model’s forecasting of certain aspects of monsoon climatology and spatiotemporal variability. Nevertheless, deficiencies such as significant forecast errors over the tropical western North Pacific and the eastern equatorial Indian Ocean are also found. In particular, overestimation of the connections of some dynamical monsoon indices with large-scale circulation and precipitation patterns exists in most ensemble mean forecasts, even for short lead-time forecasts. Variations of SST, measured by the first mode over the tropical Pacific and Indian oceans, as well as the spatiotemporal features over the Ni˜no3.4 region, are overall well predicted. However, this does not necessarily translate into successful forecasts of the Asian summer monsoon by the model. Diagnostics of the relationships between monsoon and SST show that difficulties in predicting the South Asian monsoon can be mainly attributed to the limited regional response of monsoon in observations but the extensive and exaggerated response in predictions due partially to the application of ensemble average forecasting methods. In contrast, in spite of a similar deficiency, the Southeast Asian monsoon can still be forecasted reasonably, probably because of its closer relationship with large-scale circulation patterns and El Ni˜no–Southern Oscillation.