DOI: 10.1175/JCLI-D-17-0220.1
Scopus记录号: 2-s2.0-85041670607
论文题名: Validation of a statistical methodology for extracting vegetation feedbacks: Focus on North African ecosystems in the Community Earth System Model
作者: Yu Y. ; Notaro M. ; Wang F. ; Mao J. ; Shi X. ; Wei Y.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 4 起始页码: 1565
结束页码: 1586
语种: 英语
英文关键词: Africa
; Atmosphere-land interaction
; Hydrology
; Statistical techniques
; Vegetation-atmosphere interactions
Scopus关键词: Atmospheric thermodynamics
; Climate change
; Climate models
; Earth (planet)
; Earth atmosphere
; Hydrology
; Moisture
; Multivariant analysis
; Rain
; Soil moisture
; Soils
; Statistical mechanics
; Vegetation
; Africa
; Atmosphere-land interactions
; Atmospheric stability
; Generalized equilibriums
; National center for atmospheric researches
; Statistical methodologies
; Statistical techniques
; Vegetation-atmosphere interactions
; Feedback
; air-soil interaction
; atmosphere-biosphere interaction
; hydrology
; leaf area index
; monsoon
; multivariate analysis
; regional climate
; vegetation
; North Africa
; Sahel [Sub-Saharan Africa]
; West Africa
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. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111681
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Nelson Institute Center for Climatic Research, University of Wisconsin-Madison, Madison, WI, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Recommended Citation:
Yu Y.,Notaro M.,Wang F.,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,2018-01-01,31(4)