EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS
This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion (CI) events in the South China Sea in 2010. This study presents the data processi...
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description | This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion (CI) events in the South China Sea in 2010. This study presents the data processing procedure in detail and compares frictional velocities (u[sub]·[/sub]), sensible heat fluxes (H) and latent heat fluxes (LE) yielded by using different averaging periods and different coordinate rotation methods; evaluates the sonic temperature correction for sensible heat flux and the Webb correction for latent heat flux as a function of 10 m wind speed (u[sub]10[/sub]) during the CIs. The results show (1) that the different averaging periods of 30 min and 10 min cause biases of u[sub]·[/sub] (H, LE) within 5% (15%, 62%). The values of u[sub]·[/sub] (H,LE) averaged from 30 mins are mostly larger than those averaged from 10 mins. We suggest that the averaging period of 10 min is not sufficiently long to capture all scale eddies and recommend 30 min averaging period in calculating turbulent fluxes using eddy covariance method during CIs; (2) that the values of u[sub]·[/sub] (H,LE) obtained from double rotation (DR2) and those obtained from planar fit rotation (PF) have good agreements and correlation coefficients between them are larger than 0.99. Because PF method requires unchanged environment and it is easier to apply DR2 method, we suggest DR2 coordinate rotation method in processing fast-response data; and (3) that the median values of frictional velocity (sensible heat flux and latent heat flux) binned according to 2 m s[sup]-1[/sup] intervals of u[sub]10[/sub] increase (decrease, increase) by less than 9% (4%, 10%) by Coriolis corrections (sonic temperature corrections, Webb corrections), which decreases (decreases, increases) with increasing u[sub]10[/sub] when u[sub]10[/sub] are 5-17 m s[sup]-1[/sup]. |
doi_str_mv | 10.16555/j.1006-8775.2018.02.006 |
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fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2199058491</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2199058491</sourcerecordid><originalsourceid>FETCH-LOGICAL-p183t-55b1a9b1955694628c86f9569ddf4a42daaed73043dfcfda9c7b501d5cc7a1943</originalsourceid><addsrcrecordid>eNo9jV1PgzAYhXuhicvcf2jiNdhCW9pLPspogiVhZbobl0Lhghg3x_b_rdF4bs57nuS8BwCIUYgZpfR5DjFCLOBJQsMIYR6iKPTgDqz--QPYLMuMvBjFhLMVeJf7tO5SoxoNmxLmTdvK_CftoCema7OultrAsu7epGeZSZWWBcwOUBbFwRf2aatSnUv4Ik3VFFBpWKltBV-VLnaP4H6yH8u4-fM16Epp8iqom63K0zo4Yx5fA0p7bEWPBaVMEBbxgbNJ-Nu5iVgSOWtHl8SIxG4aJmfFkPQUYUeHIbFYkHgNnn7_ni-nr9u4XI_z6Xb59JPHCAuBKCcCx9-BwU2z</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2199058491</pqid></control><display><type>article</type><title>EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS</title><source>Alma/SFX Local Collection</source><creator>Bi, Xue-yan ; Wen, Bin ; Zhao, Zhong-kuo ; Huang, Jian ; Liu, Chun-xia ; Huang, Hui-jun ; Mao, Wei-kang ; Wen, Guan-huan</creator><creatorcontrib>Bi, Xue-yan ; Wen, Bin ; Zhao, Zhong-kuo ; Huang, Jian ; Liu, Chun-xia ; Huang, Hui-jun ; Mao, Wei-kang ; Wen, Guan-huan</creatorcontrib><description>This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion (CI) events in the South China Sea in 2010. This study presents the data processing procedure in detail and compares frictional velocities (u[sub]·[/sub]), sensible heat fluxes (H) and latent heat fluxes (LE) yielded by using different averaging periods and different coordinate rotation methods; evaluates the sonic temperature correction for sensible heat flux and the Webb correction for latent heat flux as a function of 10 m wind speed (u[sub]10[/sub]) during the CIs. The results show (1) that the different averaging periods of 30 min and 10 min cause biases of u[sub]·[/sub] (H, LE) within 5% (15%, 62%). The values of u[sub]·[/sub] (H,LE) averaged from 30 mins are mostly larger than those averaged from 10 mins. We suggest that the averaging period of 10 min is not sufficiently long to capture all scale eddies and recommend 30 min averaging period in calculating turbulent fluxes using eddy covariance method during CIs; (2) that the values of u[sub]·[/sub] (H,LE) obtained from double rotation (DR2) and those obtained from planar fit rotation (PF) have good agreements and correlation coefficients between them are larger than 0.99. Because PF method requires unchanged environment and it is easier to apply DR2 method, we suggest DR2 coordinate rotation method in processing fast-response data; and (3) that the median values of frictional velocity (sensible heat flux and latent heat flux) binned according to 2 m s[sup]-1[/sup] intervals of u[sub]10[/sub] increase (decrease, increase) by less than 9% (4%, 10%) by Coriolis corrections (sonic temperature corrections, Webb corrections), which decreases (decreases, increases) with increasing u[sub]10[/sub] when u[sub]10[/sub] are 5-17 m s[sup]-1[/sup].</description><identifier>ISSN: 1006-8775</identifier><identifier>DOI: 10.16555/j.1006-8775.2018.02.006</identifier><language>eng</language><publisher>Guangzhou: Guangzhou Institute of Tropical & Marine Meteorology</publisher><subject>Agreements ; Coefficients ; Coriolis force ; Corrections ; Correlation coefficient ; Correlation coefficients ; Covariance ; Data ; Data analysis ; Data processing ; Eddies ; Eddy covariance ; Enthalpy ; Evaluation ; Fluctuations ; Frictional velocity ; Heat ; Heat flux ; Heat transfer ; Intrusion ; Latent heat ; Latent heat flux ; Mathematical analysis ; Methods ; Offshore ; Rotation ; Sensible heat ; Sensible heat flux ; Sensible heat transfer ; Temperature ; Turbulent fluxes ; Vortices ; Wind speed ; Winds</subject><ispartof>Journal of Tropical Meteorology, 2018-06, Vol.24 (2), p.176-184</ispartof><rights>Copyright Guangzhou Institute of Tropical & Marine Meteorology Jun 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Bi, Xue-yan</creatorcontrib><creatorcontrib>Wen, Bin</creatorcontrib><creatorcontrib>Zhao, Zhong-kuo</creatorcontrib><creatorcontrib>Huang, Jian</creatorcontrib><creatorcontrib>Liu, Chun-xia</creatorcontrib><creatorcontrib>Huang, Hui-jun</creatorcontrib><creatorcontrib>Mao, Wei-kang</creatorcontrib><creatorcontrib>Wen, Guan-huan</creatorcontrib><title>EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS</title><title>Journal of Tropical Meteorology</title><description>This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion (CI) events in the South China Sea in 2010. This study presents the data processing procedure in detail and compares frictional velocities (u[sub]·[/sub]), sensible heat fluxes (H) and latent heat fluxes (LE) yielded by using different averaging periods and different coordinate rotation methods; evaluates the sonic temperature correction for sensible heat flux and the Webb correction for latent heat flux as a function of 10 m wind speed (u[sub]10[/sub]) during the CIs. The results show (1) that the different averaging periods of 30 min and 10 min cause biases of u[sub]·[/sub] (H, LE) within 5% (15%, 62%). The values of u[sub]·[/sub] (H,LE) averaged from 30 mins are mostly larger than those averaged from 10 mins. We suggest that the averaging period of 10 min is not sufficiently long to capture all scale eddies and recommend 30 min averaging period in calculating turbulent fluxes using eddy covariance method during CIs; (2) that the values of u[sub]·[/sub] (H,LE) obtained from double rotation (DR2) and those obtained from planar fit rotation (PF) have good agreements and correlation coefficients between them are larger than 0.99. Because PF method requires unchanged environment and it is easier to apply DR2 method, we suggest DR2 coordinate rotation method in processing fast-response data; and (3) that the median values of frictional velocity (sensible heat flux and latent heat flux) binned according to 2 m s[sup]-1[/sup] intervals of u[sub]10[/sub] increase (decrease, increase) by less than 9% (4%, 10%) by Coriolis corrections (sonic temperature corrections, Webb corrections), which decreases (decreases, increases) with increasing u[sub]10[/sub] when u[sub]10[/sub] are 5-17 m s[sup]-1[/sup].</description><subject>Agreements</subject><subject>Coefficients</subject><subject>Coriolis force</subject><subject>Corrections</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Covariance</subject><subject>Data</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Eddies</subject><subject>Eddy covariance</subject><subject>Enthalpy</subject><subject>Evaluation</subject><subject>Fluctuations</subject><subject>Frictional velocity</subject><subject>Heat</subject><subject>Heat flux</subject><subject>Heat transfer</subject><subject>Intrusion</subject><subject>Latent heat</subject><subject>Latent heat flux</subject><subject>Mathematical analysis</subject><subject>Methods</subject><subject>Offshore</subject><subject>Rotation</subject><subject>Sensible heat</subject><subject>Sensible heat flux</subject><subject>Sensible heat transfer</subject><subject>Temperature</subject><subject>Turbulent fluxes</subject><subject>Vortices</subject><subject>Wind speed</subject><subject>Winds</subject><issn>1006-8775</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9jV1PgzAYhXuhicvcf2jiNdhCW9pLPspogiVhZbobl0Lhghg3x_b_rdF4bs57nuS8BwCIUYgZpfR5DjFCLOBJQsMIYR6iKPTgDqz--QPYLMuMvBjFhLMVeJf7tO5SoxoNmxLmTdvK_CftoCema7OultrAsu7epGeZSZWWBcwOUBbFwRf2aatSnUv4Ik3VFFBpWKltBV-VLnaP4H6yH8u4-fM16Epp8iqom63K0zo4Yx5fA0p7bEWPBaVMEBbxgbNJ-Nu5iVgSOWtHl8SIxG4aJmfFkPQUYUeHIbFYkHgNnn7_ni-nr9u4XI_z6Xb59JPHCAuBKCcCx9-BwU2z</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Bi, Xue-yan</creator><creator>Wen, Bin</creator><creator>Zhao, Zhong-kuo</creator><creator>Huang, Jian</creator><creator>Liu, Chun-xia</creator><creator>Huang, Hui-jun</creator><creator>Mao, Wei-kang</creator><creator>Wen, Guan-huan</creator><general>Guangzhou Institute of Tropical & Marine Meteorology</general><scope>7TG</scope><scope>7TN</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20180601</creationdate><title>EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS</title><author>Bi, Xue-yan ; Wen, Bin ; Zhao, Zhong-kuo ; Huang, Jian ; Liu, Chun-xia ; Huang, Hui-jun ; Mao, Wei-kang ; Wen, Guan-huan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p183t-55b1a9b1955694628c86f9569ddf4a42daaed73043dfcfda9c7b501d5cc7a1943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agreements</topic><topic>Coefficients</topic><topic>Coriolis force</topic><topic>Corrections</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Covariance</topic><topic>Data</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Eddies</topic><topic>Eddy covariance</topic><topic>Enthalpy</topic><topic>Evaluation</topic><topic>Fluctuations</topic><topic>Frictional velocity</topic><topic>Heat</topic><topic>Heat flux</topic><topic>Heat transfer</topic><topic>Intrusion</topic><topic>Latent heat</topic><topic>Latent heat flux</topic><topic>Mathematical analysis</topic><topic>Methods</topic><topic>Offshore</topic><topic>Rotation</topic><topic>Sensible heat</topic><topic>Sensible heat flux</topic><topic>Sensible heat transfer</topic><topic>Temperature</topic><topic>Turbulent fluxes</topic><topic>Vortices</topic><topic>Wind speed</topic><topic>Winds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bi, Xue-yan</creatorcontrib><creatorcontrib>Wen, Bin</creatorcontrib><creatorcontrib>Zhao, Zhong-kuo</creatorcontrib><creatorcontrib>Huang, Jian</creatorcontrib><creatorcontrib>Liu, Chun-xia</creatorcontrib><creatorcontrib>Huang, Hui-jun</creatorcontrib><creatorcontrib>Mao, Wei-kang</creatorcontrib><creatorcontrib>Wen, Guan-huan</creatorcontrib><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>East & South Asia Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Journal of Tropical Meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bi, Xue-yan</au><au>Wen, Bin</au><au>Zhao, Zhong-kuo</au><au>Huang, Jian</au><au>Liu, Chun-xia</au><au>Huang, Hui-jun</au><au>Mao, Wei-kang</au><au>Wen, Guan-huan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS</atitle><jtitle>Journal of Tropical Meteorology</jtitle><date>2018-06-01</date><risdate>2018</risdate><volume>24</volume><issue>2</issue><spage>176</spage><epage>184</epage><pages>176-184</pages><issn>1006-8775</issn><abstract>This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion (CI) events in the South China Sea in 2010. This study presents the data processing procedure in detail and compares frictional velocities (u[sub]·[/sub]), sensible heat fluxes (H) and latent heat fluxes (LE) yielded by using different averaging periods and different coordinate rotation methods; evaluates the sonic temperature correction for sensible heat flux and the Webb correction for latent heat flux as a function of 10 m wind speed (u[sub]10[/sub]) during the CIs. The results show (1) that the different averaging periods of 30 min and 10 min cause biases of u[sub]·[/sub] (H, LE) within 5% (15%, 62%). The values of u[sub]·[/sub] (H,LE) averaged from 30 mins are mostly larger than those averaged from 10 mins. We suggest that the averaging period of 10 min is not sufficiently long to capture all scale eddies and recommend 30 min averaging period in calculating turbulent fluxes using eddy covariance method during CIs; (2) that the values of u[sub]·[/sub] (H,LE) obtained from double rotation (DR2) and those obtained from planar fit rotation (PF) have good agreements and correlation coefficients between them are larger than 0.99. Because PF method requires unchanged environment and it is easier to apply DR2 method, we suggest DR2 coordinate rotation method in processing fast-response data; and (3) that the median values of frictional velocity (sensible heat flux and latent heat flux) binned according to 2 m s[sup]-1[/sup] intervals of u[sub]10[/sub] increase (decrease, increase) by less than 9% (4%, 10%) by Coriolis corrections (sonic temperature corrections, Webb corrections), which decreases (decreases, increases) with increasing u[sub]10[/sub] when u[sub]10[/sub] are 5-17 m s[sup]-1[/sup].</abstract><cop>Guangzhou</cop><pub>Guangzhou Institute of Tropical & Marine Meteorology</pub><doi>10.16555/j.1006-8775.2018.02.006</doi><tpages>9</tpages></addata></record> |
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subjects | Agreements Coefficients Coriolis force Corrections Correlation coefficient Correlation coefficients Covariance Data Data analysis Data processing Eddies Eddy covariance Enthalpy Evaluation Fluctuations Frictional velocity Heat Heat flux Heat transfer Intrusion Latent heat Latent heat flux Mathematical analysis Methods Offshore Rotation Sensible heat Sensible heat flux Sensible heat transfer Temperature Turbulent fluxes Vortices Wind speed Winds |
title | EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS |
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