Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model

Yu, Yan; Notaro, Michael; Wang, Fuyao; Mao, Jiafu; Shi, Xiaoying; Wei, Yaxing

doi:10.1175/JCLI-D-17-0220.1

Title: Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model

Abstract

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 in this paper 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 vegetationmore »« less

Authors:

Yu, Yan ^[1]; Notaro, Michael ^[2]; Wang, Fuyao ^[2]; Mao, Jiafu ^[3]; Shi, Xiaoying ^[3]; Wei, Yaxing ^[3]

Nelson Institute Center for Climatic Research, University of Wisconsin–Madison, Madison, Wisconsin, and Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
Nelson Institute Center for Climatic Research, University of Wisconsin–Madison, Madison, Wisconsin
Environmental Sciences Division, and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee

Publication Date:: Thu Feb 01 00:00:00 EST 2018

Research Org.:: Univ. of Wisconsin, Madison, WI (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)

OSTI Identifier:: 1419613

Alternate Identifier(s):: OSTI ID: 1422596

Grant/Contract Number:: SC0012534; AC05-00OR22725; AGS-1343904

Resource Type:: Published Article

Journal Name:: Journal of Climate

Additional Journal Information:: Journal Name: Journal of Climate Journal Volume: 31 Journal Issue: 4; Journal ID: ISSN 0894-8755

Publisher:: American Meteorological Society

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; Africa; hydrology; statistical techniques; atmosphere-land interaction; vegetation-atmosphere interactions

Citation Formats


                    Yu, Yan, Notaro, Michael, Wang, Fuyao, Mao, Jiafu, Shi, Xiaoying, and Wei, Yaxing. Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model.  United States: N. p., 2018. 
Web.  doi:10.1175/JCLI-D-17-0220.1.

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                    Yu, Yan, Notaro, Michael, Wang, Fuyao, Mao, Jiafu, Shi, Xiaoying, & Wei, Yaxing. Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model.  United States.  https://doi.org/10.1175/JCLI-D-17-0220.1

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                    Yu, Yan, Notaro, Michael, Wang, Fuyao, Mao, Jiafu, Shi, Xiaoying, and Wei, Yaxing. Thu .  
"Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model".  United States.  https://doi.org/10.1175/JCLI-D-17-0220.1.

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@article{osti_1419613,

  title        = {Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model},

  author       = {Yu, Yan and Notaro, Michael and Wang, Fuyao and Mao, Jiafu and Shi, Xiaoying and Wei, Yaxing},

  abstractNote = {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 in this paper 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. Finally, 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.},

  doi          = {10.1175/JCLI-D-17-0220.1},

  journal      = {Journal of Climate},

  number       = 4,

  volume       = 31,

  place        = {United States},

  year         = {Thu Feb 01 00:00:00 EST 2018},

  month        = {Thu Feb 01 00:00:00 EST 2018}

}

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Cited by: 12 works

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Works referencing / citing this record:

Elucidating observed land surface feedbacks across sub-Saharan Africa
journal, March 2019

Notaro, Michael; Wang, Fuyao; Yu, Yan
Climate Dynamics, Vol. 53, Issue 3-4
DOI: 10.1007/s00382-019-04730-3

Observed land surface feedbacks on the Australian monsoon system
journal, February 2020

Yu, Yan; Notaro, Michael
Climate Dynamics, Vol. 54, Issue 5-6
DOI: 10.1007/s00382-020-05154-0

Influence of Central Siberian Snow‐Albedo Feedback on the Spring East Asian Dust Cycle and Connection With the Preceding Winter Arctic Oscillation
journal, December 2018

Liu, Heng; Liu, Xiaodong; Dong, Buwen
Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 23
DOI: 10.1029/2018jd029385

Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis
journal, January 2019

Yu, Yan; Kalashnikova, Olga V.; Garay, Michael J.
Atmospheric Chemistry and Physics, Vol. 19, Issue 1
DOI: 10.5194/acp-19-363-2019

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Similar Records

Title: Validation of a Statistical Methodology for Extracting Vegetation Feedbacks: Focus on North African Ecosystems in the Community Earth System Model

Abstract

Citation Formats

Elucidating observed land surface feedbacks across sub-Saharan Africa journal, March 2019

Observed land surface feedbacks on the Australian monsoon system journal, February 2020

Influence of Central Siberian Snow‐Albedo Feedback on the Spring East Asian Dust Cycle and Connection With the Preceding Winter Arctic Oscillation journal, December 2018

Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis journal, January 2019

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journal, March 2019

Observed land surface feedbacks on the Australian monsoon system
journal, February 2020

Influence of Central Siberian Snow‐Albedo Feedback on the Spring East Asian Dust Cycle and Connection With the Preceding Winter Arctic Oscillation
journal, December 2018

Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis
journal, January 2019