Identifying CO2 advection on a hill slope using information flow

•Drainage flow affects the eddy covariance CO2 fluxes on the forest hill slope of the Gwangneung KoFlux sites.•The CO2 drainage is identified using an information flow dynamical process network (DPN).•Based on the DPN, a site-specific filter was developed to eliminate the drainage-affected data.•An...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Agricultural and forest meteorology 2017-01, Vol.232, p.265-278
Hauptverfasser: Kang, Minseok, Ruddell, Benjamin L., Cho, Chunho, Chun, Junghwa, Kim, Joon
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 278
container_issue
container_start_page 265
container_title Agricultural and forest meteorology
container_volume 232
creator Kang, Minseok
Ruddell, Benjamin L.
Cho, Chunho
Chun, Junghwa
Kim, Joon
description •Drainage flow affects the eddy covariance CO2 fluxes on the forest hill slope of the Gwangneung KoFlux sites.•The CO2 drainage is identified using an information flow dynamical process network (DPN).•Based on the DPN, a site-specific filter was developed to eliminate the drainage-affected data.•An information flow filter reduces discrepancies among the different nighttime flux corrections. In hilly terrain affected by drainage flow, the horizontal advection of CO2 makes it difficult to accurately observe the net ecosystem exchange of CO2 by the eddy covariance technique. Downslope drainage can result in an overestimation of respiration at the bottom of a hill slope and an underestimation at the top, resulting in discrepancies among different flux corrections using filters based on the friction velocity, light response curve, and timing of advection. Vertical profiles of the CO2 concentration from the ground to above the canopy were measured along with above-canopy EC flux measurements at the top and bottom of a hill slope at the Gwangneung KoFlux sites from 2008 to 2010. To infer the timing, direction, temporal scale, and structure of CO2 advection from uphill to downhill, we constructed an information flow dynamical process network (DPN) based on the observed multi-level CO2 concentrations. A site-specific quality control filter was developed to eliminate data strongly affected by CO2 advection, which identifies the observations when strong downslope information flow exists in the DPN. This site-specific filter considerably reduced the discrepancies among different traditional flux corrections. This research provides a method for the general characterization of advection using information flow, and application of the method as a site-specific filter for eddy covariance observations in hilly and complex terrain.
doi_str_mv 10.1016/j.agrformet.2016.08.003
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1850772655</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168192316303501</els_id><sourcerecordid>1850772655</sourcerecordid><originalsourceid>FETCH-LOGICAL-c463t-f01f230f04e7eb41db40dd3c1e40f8aab2f17120e3341b96a3a09b0f103a2d3e3</originalsourceid><addsrcrecordid>eNqFkE9LAzEQxYMoWKufwT162XWSbDe7N0vxHxR60XPIbiY1Jd3UZFvptzdrxaswMDDz3hvmR8gthYICre43hVoH48MWh4KlQQF1AcDPyITWgueMlXBOJmlR57Rh_JJcxbgBoEyIZkIeXjX2gzVH26-zxYplSh-wG6zvs1Qq-7DOZdH5HWb7OGpsP95SPwrj_Nc1uTDKRbz57VPy_vT4tnjJl6vn18V8mXdlxYfcADWMg4ESBbYl1W0JWvOOYgmmVqplhgrKADkvadtUiitoWjAUuGKaI5-Su1PuLvjPPcZBbm3s0DnVo99HSesZCMGq2SxJxUnaBR9jQCN3wW5VOEoKcmQmN_KPmRyZSahlYpac85MT0ycHi0HGzmLfobYhUZHa238zvgF_knlV</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1850772655</pqid></control><display><type>article</type><title>Identifying CO2 advection on a hill slope using information flow</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Kang, Minseok ; Ruddell, Benjamin L. ; Cho, Chunho ; Chun, Junghwa ; Kim, Joon</creator><creatorcontrib>Kang, Minseok ; Ruddell, Benjamin L. ; Cho, Chunho ; Chun, Junghwa ; Kim, Joon</creatorcontrib><description>•Drainage flow affects the eddy covariance CO2 fluxes on the forest hill slope of the Gwangneung KoFlux sites.•The CO2 drainage is identified using an information flow dynamical process network (DPN).•Based on the DPN, a site-specific filter was developed to eliminate the drainage-affected data.•An information flow filter reduces discrepancies among the different nighttime flux corrections. In hilly terrain affected by drainage flow, the horizontal advection of CO2 makes it difficult to accurately observe the net ecosystem exchange of CO2 by the eddy covariance technique. Downslope drainage can result in an overestimation of respiration at the bottom of a hill slope and an underestimation at the top, resulting in discrepancies among different flux corrections using filters based on the friction velocity, light response curve, and timing of advection. Vertical profiles of the CO2 concentration from the ground to above the canopy were measured along with above-canopy EC flux measurements at the top and bottom of a hill slope at the Gwangneung KoFlux sites from 2008 to 2010. To infer the timing, direction, temporal scale, and structure of CO2 advection from uphill to downhill, we constructed an information flow dynamical process network (DPN) based on the observed multi-level CO2 concentrations. A site-specific quality control filter was developed to eliminate data strongly affected by CO2 advection, which identifies the observations when strong downslope information flow exists in the DPN. This site-specific filter considerably reduced the discrepancies among different traditional flux corrections. This research provides a method for the general characterization of advection using information flow, and application of the method as a site-specific filter for eddy covariance observations in hilly and complex terrain.</description><identifier>ISSN: 0168-1923</identifier><identifier>EISSN: 1873-2240</identifier><identifier>DOI: 10.1016/j.agrformet.2016.08.003</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>CO2 advection ; Dynamical process network ; Eddy covariance measurement ; Forest hill slope ; Information flow ; Marine ; Nighttime CO2 flux correction</subject><ispartof>Agricultural and forest meteorology, 2017-01, Vol.232, p.265-278</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c463t-f01f230f04e7eb41db40dd3c1e40f8aab2f17120e3341b96a3a09b0f103a2d3e3</citedby><cites>FETCH-LOGICAL-c463t-f01f230f04e7eb41db40dd3c1e40f8aab2f17120e3341b96a3a09b0f103a2d3e3</cites><orcidid>0000-0003-2967-9339</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.agrformet.2016.08.003$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids></links><search><creatorcontrib>Kang, Minseok</creatorcontrib><creatorcontrib>Ruddell, Benjamin L.</creatorcontrib><creatorcontrib>Cho, Chunho</creatorcontrib><creatorcontrib>Chun, Junghwa</creatorcontrib><creatorcontrib>Kim, Joon</creatorcontrib><title>Identifying CO2 advection on a hill slope using information flow</title><title>Agricultural and forest meteorology</title><description>•Drainage flow affects the eddy covariance CO2 fluxes on the forest hill slope of the Gwangneung KoFlux sites.•The CO2 drainage is identified using an information flow dynamical process network (DPN).•Based on the DPN, a site-specific filter was developed to eliminate the drainage-affected data.•An information flow filter reduces discrepancies among the different nighttime flux corrections. In hilly terrain affected by drainage flow, the horizontal advection of CO2 makes it difficult to accurately observe the net ecosystem exchange of CO2 by the eddy covariance technique. Downslope drainage can result in an overestimation of respiration at the bottom of a hill slope and an underestimation at the top, resulting in discrepancies among different flux corrections using filters based on the friction velocity, light response curve, and timing of advection. Vertical profiles of the CO2 concentration from the ground to above the canopy were measured along with above-canopy EC flux measurements at the top and bottom of a hill slope at the Gwangneung KoFlux sites from 2008 to 2010. To infer the timing, direction, temporal scale, and structure of CO2 advection from uphill to downhill, we constructed an information flow dynamical process network (DPN) based on the observed multi-level CO2 concentrations. A site-specific quality control filter was developed to eliminate data strongly affected by CO2 advection, which identifies the observations when strong downslope information flow exists in the DPN. This site-specific filter considerably reduced the discrepancies among different traditional flux corrections. This research provides a method for the general characterization of advection using information flow, and application of the method as a site-specific filter for eddy covariance observations in hilly and complex terrain.</description><subject>CO2 advection</subject><subject>Dynamical process network</subject><subject>Eddy covariance measurement</subject><subject>Forest hill slope</subject><subject>Information flow</subject><subject>Marine</subject><subject>Nighttime CO2 flux correction</subject><issn>0168-1923</issn><issn>1873-2240</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkE9LAzEQxYMoWKufwT162XWSbDe7N0vxHxR60XPIbiY1Jd3UZFvptzdrxaswMDDz3hvmR8gthYICre43hVoH48MWh4KlQQF1AcDPyITWgueMlXBOJmlR57Rh_JJcxbgBoEyIZkIeXjX2gzVH26-zxYplSh-wG6zvs1Qq-7DOZdH5HWb7OGpsP95SPwrj_Nc1uTDKRbz57VPy_vT4tnjJl6vn18V8mXdlxYfcADWMg4ESBbYl1W0JWvOOYgmmVqplhgrKADkvadtUiitoWjAUuGKaI5-Su1PuLvjPPcZBbm3s0DnVo99HSesZCMGq2SxJxUnaBR9jQCN3wW5VOEoKcmQmN_KPmRyZSahlYpac85MT0ycHi0HGzmLfobYhUZHa238zvgF_knlV</recordid><startdate>20170115</startdate><enddate>20170115</enddate><creator>Kang, Minseok</creator><creator>Ruddell, Benjamin L.</creator><creator>Cho, Chunho</creator><creator>Chun, Junghwa</creator><creator>Kim, Joon</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2967-9339</orcidid></search><sort><creationdate>20170115</creationdate><title>Identifying CO2 advection on a hill slope using information flow</title><author>Kang, Minseok ; Ruddell, Benjamin L. ; Cho, Chunho ; Chun, Junghwa ; Kim, Joon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-f01f230f04e7eb41db40dd3c1e40f8aab2f17120e3341b96a3a09b0f103a2d3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>CO2 advection</topic><topic>Dynamical process network</topic><topic>Eddy covariance measurement</topic><topic>Forest hill slope</topic><topic>Information flow</topic><topic>Marine</topic><topic>Nighttime CO2 flux correction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Minseok</creatorcontrib><creatorcontrib>Ruddell, Benjamin L.</creatorcontrib><creatorcontrib>Cho, Chunho</creatorcontrib><creatorcontrib>Chun, Junghwa</creatorcontrib><creatorcontrib>Kim, Joon</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Agricultural and forest meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Minseok</au><au>Ruddell, Benjamin L.</au><au>Cho, Chunho</au><au>Chun, Junghwa</au><au>Kim, Joon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying CO2 advection on a hill slope using information flow</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2017-01-15</date><risdate>2017</risdate><volume>232</volume><spage>265</spage><epage>278</epage><pages>265-278</pages><issn>0168-1923</issn><eissn>1873-2240</eissn><abstract>•Drainage flow affects the eddy covariance CO2 fluxes on the forest hill slope of the Gwangneung KoFlux sites.•The CO2 drainage is identified using an information flow dynamical process network (DPN).•Based on the DPN, a site-specific filter was developed to eliminate the drainage-affected data.•An information flow filter reduces discrepancies among the different nighttime flux corrections. In hilly terrain affected by drainage flow, the horizontal advection of CO2 makes it difficult to accurately observe the net ecosystem exchange of CO2 by the eddy covariance technique. Downslope drainage can result in an overestimation of respiration at the bottom of a hill slope and an underestimation at the top, resulting in discrepancies among different flux corrections using filters based on the friction velocity, light response curve, and timing of advection. Vertical profiles of the CO2 concentration from the ground to above the canopy were measured along with above-canopy EC flux measurements at the top and bottom of a hill slope at the Gwangneung KoFlux sites from 2008 to 2010. To infer the timing, direction, temporal scale, and structure of CO2 advection from uphill to downhill, we constructed an information flow dynamical process network (DPN) based on the observed multi-level CO2 concentrations. A site-specific quality control filter was developed to eliminate data strongly affected by CO2 advection, which identifies the observations when strong downslope information flow exists in the DPN. This site-specific filter considerably reduced the discrepancies among different traditional flux corrections. This research provides a method for the general characterization of advection using information flow, and application of the method as a site-specific filter for eddy covariance observations in hilly and complex terrain.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.agrformet.2016.08.003</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2967-9339</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0168-1923
ispartof Agricultural and forest meteorology, 2017-01, Vol.232, p.265-278
issn 0168-1923
1873-2240
language eng
recordid cdi_proquest_miscellaneous_1850772655
source ScienceDirect Journals (5 years ago - present)
subjects CO2 advection
Dynamical process network
Eddy covariance measurement
Forest hill slope
Information flow
Marine
Nighttime CO2 flux correction
title Identifying CO2 advection on a hill slope using information flow
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T02%3A10%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identifying%20CO2%20advection%20on%20a%20hill%20slope%20using%20information%20flow&rft.jtitle=Agricultural%20and%20forest%20meteorology&rft.au=Kang,%20Minseok&rft.date=2017-01-15&rft.volume=232&rft.spage=265&rft.epage=278&rft.pages=265-278&rft.issn=0168-1923&rft.eissn=1873-2240&rft_id=info:doi/10.1016/j.agrformet.2016.08.003&rft_dat=%3Cproquest_cross%3E1850772655%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1850772655&rft_id=info:pmid/&rft_els_id=S0168192316303501&rfr_iscdi=true