Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation

被引:46
|
作者
Ajibola, Felix Olabamiji [1 ,2 ,3 ]
Zhou, Botao [1 ,2 ]
Tchalim Gnitou, Gnim [4 ]
Onyejuruwa, Anselem [3 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Joint Int Res Lab Climate & Environm Change, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Minist Educ,Key Lab Meteorol Disaster, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
[3] Nigerian Meteorol Agcy, National Weather Forecasting & Climate Res Ctr, PMB 615, Abuja, Nigeria
[4] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Peoples R China
基金
中国国家自然科学基金;
关键词
CMIP6; HighResMIP; evaluation; ensemble mean; models; West African precipitation; INTERANNUAL VARIABILITY; PART I; MODEL; CLIMATOLOGY; RAINFALL; SIMULATIONS;
D O I
10.3390/atmos11101053
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research focuses on evaluating the High-Resolution Model Intercomparison Project (HighResMIP) simulations within the framework of the Coupled Model Intercomparison Project (CMIP) Phase 6 (CMIP6). We used seven of its consortiums to study how CMIP6 reproduced the West African precipitation features during the 1950-2014 historical simulation periods. The rainfall event was studied for two sub-regions of West Africa, the Sahel and the Guinea Coast. Precipitation datasets from the Climate Research Unit (CRU) TS v4.03, University of Delaware (UDEL) v5.01, and Global Precipitation Climatology Centre (GPCC) were used as observational references with the aim of accounting for uncertainty. The observed annual peak during August, which is greater than 200, 25, and 100 mm/month in the Guinea Coast, the Sahel, and West Africa as a whole, respectively, appears to be slightly underestimated by some of the models and the ensemble mean, although all the models captured the general rainfall pattern. Global climate models (GCMs) and the ensemble mean reproduced the spatial daily pattern of precipitation in the monsoon season (from June to September) over West Africa, with a high correlation coefficient exceeding 0.8 for the mean field and a relatively lower correlation coefficient for extreme events. Individual models, such as IPSL and ECMWF, tend to show high performance, but the ensemble mean appears to outperform all other models in reproducing West African precipitation features. The result from this study shows that merely improving the horizontal resolution may not remove biases from CMIP6.
引用
收藏
页数:15
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