Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT

Three statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation-dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length...

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Published in:Journal of Climate
Main Authors: Liu, Zhengyu, Wen, Na, Fan, Lei
Other Authors: Liu, ZY (reprint author), 1225 W Dayton St, Madison, WI 53706 USA., Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China., Peking Univ, Sch Phys, Lab Climate & Ocean Atmosphere Studies, Beijing 100871, Peoples R China., Univ Wisconsin, Ctr Climat Res, Madison, WI USA., Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA., Ocean Univ China, Lab Phys Oceanog, Qingdao, Peoples R China., 1225 W Dayton St, Madison, WI 53706 USA.
Format: Journal/Newspaper
Language:English
Published: journal of climate 2012
Subjects:
Online Access:https://hdl.handle.net/20.500.11897/296798
https://doi.org/10.1175/JCLI-D-11-00545.1
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author Liu, Zhengyu
Wen, Na
Fan, Lei
author2 Liu, ZY (reprint author), 1225 W Dayton St, Madison, WI 53706 USA.
Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China.
Peking Univ, Sch Phys, Lab Climate & Ocean Atmosphere Studies, Beijing 100871, Peoples R China.
Univ Wisconsin, Ctr Climat Res, Madison, WI USA.
Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA.
Ocean Univ China, Lab Phys Oceanog, Qingdao, Peoples R China.
1225 W Dayton St, Madison, WI 53706 USA.
author_facet Liu, Zhengyu
Wen, Na
Fan, Lei
author_sort Liu, Zhengyu
collection Peking University Institutional Repository (PKU IR)
container_issue 19
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container_title Journal of Climate
container_volume 25
description Three statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation-dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length comparable with the observations (decades). The comparison is made first in an idealized coupled model and then in the observations. For daily to pentad data, for a linear stochastic system, the simple model study demonstrates that all three methods are able to provide a consistent assessment of the atmospheric response. For monthly data, GEFA is able to produce an assessment comparable with the daily or pentad assessments using the three methods. The consistence of the three methods is further confirmed in the observations for the responses of the atmospheric geopotential height (at 200 hPa) to the tropical ENSO mode and the North Pacific mode. It is found that the three methods produce a consistent response with the overall pattern correlation over 0.95 and the amplitude difference within 10%-20%. The consistent results in both the simplemodel and the observations suggest that the three statistical methods can be used as a cross validation on the robustness of the assessment of the atmospheric response to surface forcing in the observations. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000309653800022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 Meteorology & Atmospheric Sciences SCI(E) EI 6 ARTICLE 19 6796-6816 25
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spelling ftpekinguniv:oai:localhost:20.500.11897/296798 2025-01-16T23:42:37+00:00 Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT Liu, Zhengyu Wen, Na Fan, Lei Liu, ZY (reprint author), 1225 W Dayton St, Madison, WI 53706 USA. Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China. Peking Univ, Sch Phys, Lab Climate & Ocean Atmosphere Studies, Beijing 100871, Peoples R China. Univ Wisconsin, Ctr Climat Res, Madison, WI USA. Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA. Ocean Univ China, Lab Phys Oceanog, Qingdao, Peoples R China. 1225 W Dayton St, Madison, WI 53706 USA. 2012 https://hdl.handle.net/20.500.11897/296798 https://doi.org/10.1175/JCLI-D-11-00545.1 en eng journal of climate JOURNAL OF CLIMATE.2012,25,(19),6796-6816. 866888 0894-8755 http://hdl.handle.net/20.500.11897/296798 doi:10.1175/JCLI-D-11-00545.1 WOS:000309653800022 SCI EI FLUCTUATION-DISSIPATION THEOREM EQUILIBRIUM FEEDBACK ASSESSMENT VEGETATION-CLIMATE FEEDBACKS MIDLATITUDE SST ANOMALIES NORTH-ATLANTIC PACIFIC MODEL CIRCULATION SENSITIVITY OSCILLATION Journal 2012 ftpekinguniv https://doi.org/20.500.11897/296798 https://doi.org/10.1175/JCLI-D-11-00545.1 2021-08-01T09:23:06Z Three statistic methods [generalized equilibrium feedback analysis (GEFA), linear inverse modeling (LIM), and fluctuation-dissipation theorem (FDT)] are compared for their assessment of the atmospheric response to sea surface temperature variability in the coupled climate system with a sample length comparable with the observations (decades). The comparison is made first in an idealized coupled model and then in the observations. For daily to pentad data, for a linear stochastic system, the simple model study demonstrates that all three methods are able to provide a consistent assessment of the atmospheric response. For monthly data, GEFA is able to produce an assessment comparable with the daily or pentad assessments using the three methods. The consistence of the three methods is further confirmed in the observations for the responses of the atmospheric geopotential height (at 200 hPa) to the tropical ENSO mode and the North Pacific mode. It is found that the three methods produce a consistent response with the overall pattern correlation over 0.95 and the amplitude difference within 10%-20%. The consistent results in both the simplemodel and the observations suggest that the three statistical methods can be used as a cross validation on the robustness of the assessment of the atmospheric response to surface forcing in the observations. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000309653800022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 Meteorology & Atmospheric Sciences SCI(E) EI 6 ARTICLE 19 6796-6816 25 Journal/Newspaper North Atlantic Peking University Institutional Repository (PKU IR) Pacific Journal of Climate 25 19 6796 6816
spellingShingle FLUCTUATION-DISSIPATION THEOREM
EQUILIBRIUM FEEDBACK ASSESSMENT
VEGETATION-CLIMATE FEEDBACKS
MIDLATITUDE SST ANOMALIES
NORTH-ATLANTIC
PACIFIC
MODEL
CIRCULATION
SENSITIVITY
OSCILLATION
Liu, Zhengyu
Wen, Na
Fan, Lei
Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title_full Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title_fullStr Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title_full_unstemmed Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title_short Assessing Atmospheric Response to Surface Forcing in the Observations. Part I: Cross Validation of Annual Response Using GEFA, LIM, and FDT
title_sort assessing atmospheric response to surface forcing in the observations. part i: cross validation of annual response using gefa, lim, and fdt
topic FLUCTUATION-DISSIPATION THEOREM
EQUILIBRIUM FEEDBACK ASSESSMENT
VEGETATION-CLIMATE FEEDBACKS
MIDLATITUDE SST ANOMALIES
NORTH-ATLANTIC
PACIFIC
MODEL
CIRCULATION
SENSITIVITY
OSCILLATION
topic_facet FLUCTUATION-DISSIPATION THEOREM
EQUILIBRIUM FEEDBACK ASSESSMENT
VEGETATION-CLIMATE FEEDBACKS
MIDLATITUDE SST ANOMALIES
NORTH-ATLANTIC
PACIFIC
MODEL
CIRCULATION
SENSITIVITY
OSCILLATION
url https://hdl.handle.net/20.500.11897/296798
https://doi.org/10.1175/JCLI-D-11-00545.1