Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0191.1 |
Modeling the Dynamic Vegetation-Climate System over China Using a Coupled Regional Model | |
Shi, Ying1,2,3; Yu, Miao4,5; Erfanian, Amir2,3; Wang, Guiling2,3 | |
2018-08-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:15页码:6027-6049 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Using the Regional Climate Model (RegCM) coupled with the Community Land Model (CLM) including modules of carbon-nitrogen cycling (CN) and vegetation dynamics (DV), this study evaluates the performance of the model with different capacity of representing vegetation processes in simulating the present-day climate over China based on three 21-yr simulations driven with boundary conditions from the ERA-Interim reanalysis data during 1989-2009. For each plant functional type (PFT), the plant pheonology, density, and fractional coverage in RegCM-CLM are all prescribed as static from year to year; RegCM-CLM-CN prescribes static fractional coverage but predicts plant phenology and density, and RegCM-CLM-CN-DV predicts plant phenology, density, and fractional coverage. Compared against the observational data, all three simulations reproduce the present-day climate well, including the wind fields, temperature and precipitation seasonal cycles, extremes, and interannual variabilities. Relative to RegCM-CLM, both RegCM-CLM-CN and RegCM-CLM-CN-DV perform better in simulating the interannual variability of temperature and spatial distribution of mean precipitation, but produce larger biases in the mean temperature field. RegCM-CLM-CN overestimates leaf area index (LAI), which enhances the cold biases and alleviates the dry biases found in RegCM-CLM. RegCM-CLM-CN-DV underestimates vegetation cover and/or stature, and hence overestimates surface albedo, which enhances the wintertime cold and dry biases found in RegM-CLM. During summer, RegCM-CLM-CN-DV overestimates LAI in south and east China, which enhances the cold biases through increased evaporative cooling; in the west where evaporation is low, the albedo effect of the underestimated vegetation cover is still dominant, leading to enhanced cold biases relative to RegCM-CLM. |
英文关键词 | Vegetation-atmosphere interactions Coupled models Model evaluation performance Regional models Interannual variability |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000437092900003 |
WOS关键词 | BIOSPHERE-ATMOSPHERE INTERACTIONS ; EAST-ASIA ; GENERAL-CIRCULATION ; SOIL-MOISTURE ; UNITED-STATES ; MONSOON PRECIPITATION ; RADIATIVE-TRANSFER ; SURFACE PROCESSES ; FUTURE CLIMATE ; DRIVING GCM |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19908 |
专题 | 气候变化 |
作者单位 | 1.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China; 2.Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA; 3.Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT 06269 USA; 4.Nanjing Univ Informat Sci Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Jiangsu, Peoples R China; 5.Nanjing Univ Informat Sci Technol, Int Joint Lab Climate & Environm Change, Nanjing, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Shi, Ying,Yu, Miao,Erfanian, Amir,et al. Modeling the Dynamic Vegetation-Climate System over China Using a Coupled Regional Model[J]. JOURNAL OF CLIMATE,2018,31(15):6027-6049. |
APA | Shi, Ying,Yu, Miao,Erfanian, Amir,&Wang, Guiling.(2018).Modeling the Dynamic Vegetation-Climate System over China Using a Coupled Regional Model.JOURNAL OF CLIMATE,31(15),6027-6049. |
MLA | Shi, Ying,et al."Modeling the Dynamic Vegetation-Climate System over China Using a Coupled Regional Model".JOURNAL OF CLIMATE 31.15(2018):6027-6049. |
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