DOI: 10.1007/s00382-014-2218-1
Scopus记录号: 2-s2.0-84939886631
论文题名: Asian summer monsoon rainfall predictability: a predictable mode analysis
作者: Wang B. ; Lee J.-Y. ; Xiang B.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 44, 期: 2017-01-02 起始页码: 61
结束页码: 74
语种: 英语
英文关键词: Asian summer monsoon rainfall
; ENSO
; Monsoon-ocean coupled mode
; Multi-model ensemble
; Physics-based empirical prediction
; Predictable mode analysis
; Seasonal predictability
英文摘要: To what extent the Asian summer monsoon (ASM) rainfall is predictable has been an important but long-standing issue in climate science. Here we introduce a predictable mode analysis (PMA) method to estimate predictability of the ASM rainfall. The PMA is an integral approach combining empirical analysis, physical interpretation and retrospective prediction. The empirical analysis detects most important modes of variability; the interpretation establishes the physical basis of prediction of the modes; and the retrospective predictions with dynamical models and physics-based empirical (P–E) model are used to identify the “predictable” modes. Potential predictability can then be estimated by the fractional variance accounted for by the “predictable” modes. For the ASM rainfall during June–July–August, we identify four major modes of variability in the domain (20°S–40°N, 40°E–160°E) during 1979–2010: (1) El Niño-La Nina developing mode in central Pacific, (2) Indo-western Pacific monsoon-ocean coupled mode sustained by a positive thermodynamic feedback with the aid of background mean circulation, (3) Indian Ocean dipole mode, and (4) a warming trend mode. We show that these modes can be predicted reasonably well by a set of P–E prediction models as well as coupled models’ multi-model ensemble. The P–E and dynamical models have comparable skills and complementary strengths in predicting ASM rainfall. Thus, the four modes may be regarded as “predictable” modes, and about half of the ASM rainfall variability may be predictable. This work not only provides a useful approach for assessing seasonal predictability but also provides P–E prediction tools and a spatial-pattern-bias correction method to improve dynamical predictions. The proposed PMA method can be applied to a broad range of climate predictability and prediction problems. © 2014, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54380
Appears in Collections: 过去全球变化的重建
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作者单位: Department of Meteorology and International Pacific Research Center, University of Hawaii, Honolulu, HI, United States; Earth System Modeling Center/NIAMS, Nanjing University of Information Science and Technology, Nanjing, China; Institute of Environmental Studies, Pusan National University, Busan, South Korea; University Corporation for Atmospheric Research, Boulder, CO, United States; NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
Recommended Citation:
Wang B.,Lee J.-Y.,Xiang B.. Asian summer monsoon rainfall predictability: a predictable mode analysis[J]. Climate Dynamics,2014-01-01,44(2017-01-02)