Abstract
The Global Monsoons Model Inter-comparison Project (GMMIP) has been endorsed by the panel of Coupled Model Inter-comparison Project (CMIP) as one of the participating model inter-comparison projects (MIPs) in the sixth phase of CMIP (CMIP6). The focus of GMMIP is on monsoon climatology, variability, prediction and projection, which is relevant to four of the "Grand Challenges" proposed by the World Climate Research Programme. At present, 21 international modeling groups are committed to joining GMMIP. This overview paper introduces the motivation behind GMMIP and the scientific questions it intends to answer. Three tiers of experiments, of decreasing priority, are designed to examine (a) model skill in simulating the climatology and interannual-to-multidecadal variability of global monsoons forced by the sea surface temperature during historical climate period; (b) the roles of the Interdecadal Pacific Oscillation and Atlantic Multidecadal Oscillation in driving variations of the global and regional monsoons; and (c) the effects of large orographic terrain on the establishment of the monsoons. The outputs of the CMIP6 Diagnostic, Evaluation and Characterization of Klima experiments (DECK), "historical" simulation and endorsed MIPs will also be used in the diagnostic analysis of GMMIP to give a comprehensive understanding of the roles played by different external forcings, potential improvements in the simulation of monsoon rainfall at high resolution and reproducibility at decadal timescales. The implementation of GMMIP will improve our understanding of the fundamental physics of changes in the global and regional monsoons over the past 140 years and ultimately benefit monsoons prediction and projection in the current century.
| Original language | English |
|---|---|
| Pages (from-to) | 3589-3604 |
| Number of pages | 16 |
| Journal | Geoscientific Model Development |
| Volume | 9 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 10 2016 |
| Externally published | Yes |
Funding
Tianjun Zhou acknowledges the support of International Big Science Project funded by Chinese Academy of Sciences (no. 134111KYSB20160031), and National Natural Science Foundation of China under grant nos. 41330423 and 41125017. Bo Wu acknowledges the support of R&D Special Fund for Public Welfare Industry (meteorology) (GYHY201506012). Andrew G. Turner acknowledges the support of the National Centre for Atmospheric Sciences, Climate Directorate. Bin Wang from IAP acknowledges the support of National Basic Research Program of China under grant no. 2014CB441302. Yun Qian's contribution is supported by the U.S. Department of Energy's Office of Science as part of the Earth System Modeling Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830. Xiaolong Chen acknowledges the support of China Postdoctoral Science Foundation under grant no. 2015M581152.
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