Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0220.1 |
Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model | |
Yu, Yan1,2; Notaro, Michael1; Wang, Fuyao1; Mao, Jiafu3,4; Shi, Xiaoying3,4; Wei, Yaxing3,4 | |
2018-02-01 | |
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:4页码:1565-1586 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Generalized equilibrium feedback assessment (GEFA) is a potentially valuable multivariate statistical tool for extracting vegetation feedbacks to the atmosphere in either observations or coupled Earth system models. The reliability of GEFA at capturing the terrestrial impacts on regional climate is demonstrated here using the National Center for Atmospheric Research Community Earth System Model (CESM), with focus on North Africa. The feedback is assessed statistically by applying GEFA to output from a fully coupled control run. To reduce the sampling error caused by short data records, the traditional or full GEFA is refined through stepwise GEFA by dropping unimportant forcings. Two ensembles of dynamical experiments are developed for the Sahel or West African monsoon region against which GEFA-based vegetation feedbacks are evaluated. In these dynamical experiments, regional leaf area index (LAI) is modified either alone or in conjunction with soil moisture, with the latter runs motivated by strong regional soil moisture-LAI coupling. Stepwise GEFA boasts higher consistency between statistically and dynamically assessed atmospheric responses to land surface anomalies than full GEFA, especially with short data records. GEFA-based atmospheric responses are more consistent with the coupled soil moisture-LAI experiments, indicating that GEFA is assessing the combined impacts of coupled vegetation and soil moisture. Both the statistical and dynamical assessments reveal a negative vegetation-rainfall feedback in the Sahel associated with an atmospheric stability mechanism in CESM versus a weaker positive feedback in the West African monsoon region associated with a moisture recycling mechanism in CESM. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425166600015 |
WOS关键词 | STOCHASTIC CLIMATE MODELS ; SOIL-MOISTURE ; SAHEL RAINFALL ; SIMULATIONS ; ATMOSPHERE ; VARIABILITY ; CIRCULATION ; DESERTS ; MONSOON |
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/20964 |
专题 | 气候变化 |
作者单位 | 1.Univ Wisconsin, Nelson Inst Ctr Climat Res, Madison, WI 53706 USA; 2.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91125 USA; 3.Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN USA; 4.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA |
推荐引用方式 GB/T 7714 | Yu, Yan,Notaro, Michael,Wang, Fuyao,et al. Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model[J]. JOURNAL OF CLIMATE,2018,31(4):1565-1586. |
APA | Yu, Yan,Notaro, Michael,Wang, Fuyao,Mao, Jiafu,Shi, Xiaoying,&Wei, Yaxing.(2018).Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model.JOURNAL OF CLIMATE,31(4),1565-1586. |
MLA | Yu, Yan,et al."Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model".JOURNAL OF CLIMATE 31.4(2018):1565-1586. |
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