Evaluation of CMIP6 HighResMIP models in simulating precipitation over Central Asia
被引:46
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作者:
LI, Liang-Liang
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机构:
Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R ChinaLanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
LI, Liang-Liang
[1
]
Li, Jian
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
China Meteorol Adm, Res Ctr Disastrous Weather Hengduan Mt & Low Lati, Kunming 650034, Yunnan, Peoples R ChinaLanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
Li, Jian
[2
,3
]
Yu, Ru-Cong
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaLanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
Yu, Ru-Cong
[2
]
机构:
[1] Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
[2] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
[3] China Meteorol Adm, Res Ctr Disastrous Weather Hengduan Mt & Low Lati, Kunming 650034, Yunnan, Peoples R China
CMIP6;
HighResMIP;
Model evaluation;
Precipitation;
Elevation;
Central Asia;
CLIMATE-CHANGE;
WATER-RESOURCES;
RESOLUTION;
MOUNTAINS;
IMPACTS;
TRENDS;
SHAN;
D O I:
10.1016/j.accre.2021.09.009
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The High Resolution Model Intercomparison Project (HighResMIP) experiment within the Coupled Model Intercomparison Project Phase 6 (CMIP6), for the first time, has provided an opportunity to evaluate the performance of climate models over complex topographies. Based on the HighResMIP's historical simulations of atmospheric general circulation models, the performances of global high-resolution models, with a horizontal resolution finer than 50 km, in representing precipitation over Central Asia were evaluated using rain gauge observation datasets. All the models successfully reproduce the large precipitation regions that are located over the mountainous areas and Northern Central Asia. However, nearly all the models overestimate precipitation frequency over Central Asia and large overestimations of precipitation amount and frequency are located over the mountainous areas. Although the HighResMIP multi-model ensemble mean performs better than all individual models at simulating the spatial pattern of precipitation frequency, it is inferior to HadGEM3-GC31-HM and ECMWF-IFS-HR at simulating that of precipitation amount. The simulation performance exhibits remarkable regional differences. Over the Qilian Mountains, the relationship between precipitation and elevation is totally captured by climate models. In contrast, over the Tianshan Mountains, the models fail to simulate the decrease in precipitation frequency after elevation higher than the maximum precipitation elevation. Most models successfully reproduce the annual cycle shape of precipitation amount over the Southern Central Asia, Qilian Mountains and Tianshan Mountains, but fail to reproduce it over the Northern Central Asia. More than half of the high-resolution GCMs have a reduced bias relative to the corresponding low-resolution GCMs. The performances of most high-resolution GCMs in simulating precipitation pattern are well over the Tianshan Mountains.
机构:
Mohammed VI Polytech Univ, Int Water Res Inst, Ben Guerir, MoroccoNanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Appl Meteorol, Nanjing 21004, Peoples R China
Ongoma, Victor
Holtanova, Eva
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机构:
Charles Univ Prague, Fac Math & Phys, Dept Atmospher Phys, Prague, Czech RepublicNanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Appl Meteorol, Nanjing 21004, Peoples R China
机构:
Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Qufu Normal Univ, Rizhao Key Lab Terr Spatial Planning & Ecol Const, Rizhao 276825, Peoples R ChinaQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Guo, Hao
Bao, Anming
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机构:
Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, PakistanQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Bao, Anming
Chen, Tao
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机构:
Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Guangdong, Peoples R ChinaQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Chen, Tao
Zheng, Guoxiong
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机构:
Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R ChinaQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Zheng, Guoxiong
Wang, Yunqian
论文数: 0引用数: 0
h-index: 0
机构:
Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Qufu Normal Univ, Rizhao Key Lab Terr Spatial Planning & Ecol Const, Rizhao 276825, Peoples R ChinaQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
Wang, Yunqian
Jiang, Liangliang
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机构:
Chongqing Normal Univ, Sch Geog & Tourism Sci, Chongqing 401331, Peoples R ChinaQufu Normal Univ, Sch Geog & Tourism, Rizhao 276825, Peoples R China
机构:
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Minist Educ, Key Lab Trop Atmosphere Ocean Syst, Zhuhai 519082, Peoples R China
Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Dong, Tianyun
Dong, Wenjie
论文数: 0引用数: 0
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机构:
Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
Minist Educ, Key Lab Trop Atmosphere Ocean Syst, Zhuhai 519082, Peoples R China
Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R ChinaSun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China
机构:
Wuxi Univ, Sch Atmospher Sci & Remote Sensing, Wuxi 214105, Peoples R ChinaWuxi Univ, Sch Atmospher Sci & Remote Sensing, Wuxi 214105, Peoples R China
Babaousmail, Hassen
Ayugi, Brian Odhiambo
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机构:
Seoul Natl Univ Sci & Technol, Fac Civil Engn, 232 Gongneung Ro, Seoul 01811, South KoreaWuxi Univ, Sch Atmospher Sci & Remote Sensing, Wuxi 214105, Peoples R China
Ayugi, Brian Odhiambo
Sian, Kenny Thiam Choy Lim Kam
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机构:
Wuxi Univ, Sch Atmospher Sci & Remote Sensing, Wuxi 214105, Peoples R ChinaWuxi Univ, Sch Atmospher Sci & Remote Sensing, Wuxi 214105, Peoples R China
机构:
Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R China
PIESAT Informat Technol Co Ltd, Future Lab 2035, Beijing 100105, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
Chen, Tianru
Zhang, Yi
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, China Meteorol Adm, Beijing 100081, Peoples R China
PIESAT Informat Technol Co Ltd, Future Lab 2035, Beijing 100105, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
Zhang, Yi
Li, Nina
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机构:
China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R ChinaNanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Peoples R China
机构:
Biospheric Sciences Laboratory, NASA GSFC, Greenbelt, 20771, MDLaboratory of Water, Biodiversity and Climate Change, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakesh
Bounoua L.
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机构:
Ech-chatir L.
Yacoubi-Khebiza M.
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机构:
Laboratory of Water, Biodiversity and Climate Change, Faculty of Sciences Semlalia, Cadi Ayyad University, MarrakeshLaboratory of Water, Biodiversity and Climate Change, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakesh