GSTDTAP  > 气候变化
DOI10.1175/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
ISSN0894-8755
EISSN1520-0442
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
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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
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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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