Turbulent Flux Transfer over Bare-Soil Surfaces: Characteristics and Parameterization
Parameterization of turbulent flux from bare-soil and undercanopy surfaces is imperative for modeling land–atmosphere interactions in arid and semiarid regions, where flux from the ground is dominant or comparable to canopy-sourced flux. This paper presents the major characteristics of turbulent flu...
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| Veröffentlicht in: | Journal of applied meteorology (1988) 2008-01, Vol.47 (1), p.276-290 |
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| container_title | Journal of applied meteorology (1988) |
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| creator | Yang, Kun Koike, Toshio Ishikawa, Hirohiko Kim, Joon Li, Xin Liu, Huizhi Liu, Shaomin Ma, Yaoming Wang, Jieming |
| description | Parameterization of turbulent flux from bare-soil and undercanopy surfaces is imperative for modeling land–atmosphere interactions in arid and semiarid regions, where flux from the ground is dominant or comparable to canopy-sourced flux. This paper presents the major characteristics of turbulent flux transfers over seven bare-soil surfaces. These sites are located in arid, semiarid, and semihumid regions in Asia and represent a variety of conditions for aerodynamic roughness length (z
0m; from |
| doi_str_mv | 10.1175/2007jamc1547.1 |
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| fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_20599192</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26172144</jstor_id><sourcerecordid>26172144</sourcerecordid><originalsourceid>FETCH-LOGICAL-c517t-afe759bf23be0dc2f14dad4445f609794a8d13a5727f723cea13ed49ec65e7263</originalsourceid><addsrcrecordid>eNqNkU1Lw0AQhoMoWKtXb0IR9JZ2Z3Y2mz3WYv2g4qH1HLabXUhIm7rbiP57E1oqeNHLzMA88w4zbxRdAhsCSDFCxmSpVwYEySEcRT0QIo1T4nh8qJFOo7MQSsaIpBS9aLRo_LKp7Ho7mFbN52Dh9To46wf1RxvutLfxvC6qwbzxThsbzqMTp6tgL_a5H71N7xeTx3j2-vA0Gc9iI0BuY-2sFGrpkC8tyw06oFznRCRcwpRUpNMcuBYSpZPIjdXAbU7KmkRYiQnvR7c73Y2v3xsbttmqCMZWlV7bugkZJ0HI6W8QWUJpquQ_QKEUKGzB619gWTd-3V6bIbYbkSvWQsMdZHwdgrcu2_hipf1XBizr7Mg6O57HL5POjgzagZu9qg5GV679synCYQoZQCKwE77acWXY1v6nn4BEIOLflNmRjA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>224632390</pqid></control><display><type>article</type><title>Turbulent Flux Transfer over Bare-Soil Surfaces: Characteristics and Parameterization</title><source>Jstor Complete Legacy</source><source>American Meteorological Society</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Yang, Kun ; Koike, Toshio ; Ishikawa, Hirohiko ; Kim, Joon ; Li, Xin ; Liu, Huizhi ; Liu, Shaomin ; Ma, Yaoming ; Wang, Jieming</creator><creatorcontrib>Yang, Kun ; Koike, Toshio ; Ishikawa, Hirohiko ; Kim, Joon ; Li, Xin ; Liu, Huizhi ; Liu, Shaomin ; Ma, Yaoming ; Wang, Jieming</creatorcontrib><description>Parameterization of turbulent flux from bare-soil and undercanopy surfaces is imperative for modeling land–atmosphere interactions in arid and semiarid regions, where flux from the ground is dominant or comparable to canopy-sourced flux. This paper presents the major characteristics of turbulent flux transfers over seven bare-soil surfaces. These sites are located in arid, semiarid, and semihumid regions in Asia and represent a variety of conditions for aerodynamic roughness length (z
0m; from <1 to 10 mm) and sensible heat flux (from −50 to 400 W m−2). For each site, parameterkB
−1[=ln(z
0m/z
0h), wherez
0his the thermal roughness length] exhibits clear diurnal variations with higher values during the day and lower values at night. Mean values ofz
0hfor the individual sites do not change significantly withz
0m, resulting inkB
−1increasing withz
0m, and thus the momentum transfer coefficient increases faster than the heat transfer coefficient withz
0m. The termkB
−1often becomes negative at night for relatively smooth surfaces (z
0m∼ 1 mm), indicating that the widely accepted excess resistance for heat transfer can be negative, which cannot be explained by current theories for aerodynamically rough surfaces. Last, severalkB
−1schemes are evaluated using the same datasets. The results indicate that a scheme that can reproduce the diurnal variation ofkB
−1generally performs better than schemes that cannot.</description><identifier>ISSN: 1558-8424</identifier><identifier>ISSN: 0894-8763</identifier><identifier>EISSN: 1558-8432</identifier><identifier>EISSN: 1520-0450</identifier><identifier>DOI: 10.1175/2007jamc1547.1</identifier><identifier>CODEN: JOAMEZ</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Aerodynamics ; Arid regions ; Arid zones ; Atmosphere ; Computational fluid dynamics ; Convection, turbulence, diffusion. Boundary layer structure and dynamics ; Datasets ; Diurnal variations ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Fluctuations ; Flux ; General circulation models ; Geographic regions ; Geophysics. Techniques, methods, instrumentation and models ; Heat transfer ; Meteorology ; Momentum transfer ; Parameterization ; Parametrization ; Remote sensing ; Research universities ; Reynolds number ; River basins ; Roughness ; Semiarid lands ; Sensible heat ; Soil surfaces ; Studies ; Surface roughness ; Surface temperature ; Theory ; Turbulence ; Vegetation canopies</subject><ispartof>Journal of applied meteorology (1988), 2008-01, Vol.47 (1), p.276-290</ispartof><rights>2008 American Meteorological Society</rights><rights>2008 INIST-CNRS</rights><rights>Copyright American Meteorological Society Jan 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-afe759bf23be0dc2f14dad4445f609794a8d13a5727f723cea13ed49ec65e7263</citedby><cites>FETCH-LOGICAL-c517t-afe759bf23be0dc2f14dad4445f609794a8d13a5727f723cea13ed49ec65e7263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26172144$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26172144$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,4010,27900,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20116520$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Kun</creatorcontrib><creatorcontrib>Koike, Toshio</creatorcontrib><creatorcontrib>Ishikawa, Hirohiko</creatorcontrib><creatorcontrib>Kim, Joon</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Liu, Huizhi</creatorcontrib><creatorcontrib>Liu, Shaomin</creatorcontrib><creatorcontrib>Ma, Yaoming</creatorcontrib><creatorcontrib>Wang, Jieming</creatorcontrib><title>Turbulent Flux Transfer over Bare-Soil Surfaces: Characteristics and Parameterization</title><title>Journal of applied meteorology (1988)</title><description>Parameterization of turbulent flux from bare-soil and undercanopy surfaces is imperative for modeling land–atmosphere interactions in arid and semiarid regions, where flux from the ground is dominant or comparable to canopy-sourced flux. This paper presents the major characteristics of turbulent flux transfers over seven bare-soil surfaces. These sites are located in arid, semiarid, and semihumid regions in Asia and represent a variety of conditions for aerodynamic roughness length (z
0m; from <1 to 10 mm) and sensible heat flux (from −50 to 400 W m−2). For each site, parameterkB
−1[=ln(z
0m/z
0h), wherez
0his the thermal roughness length] exhibits clear diurnal variations with higher values during the day and lower values at night. Mean values ofz
0hfor the individual sites do not change significantly withz
0m, resulting inkB
−1increasing withz
0m, and thus the momentum transfer coefficient increases faster than the heat transfer coefficient withz
0m. The termkB
−1often becomes negative at night for relatively smooth surfaces (z
0m∼ 1 mm), indicating that the widely accepted excess resistance for heat transfer can be negative, which cannot be explained by current theories for aerodynamically rough surfaces. Last, severalkB
−1schemes are evaluated using the same datasets. The results indicate that a scheme that can reproduce the diurnal variation ofkB
−1generally performs better than schemes that cannot.</description><subject>Aerodynamics</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Atmosphere</subject><subject>Computational fluid dynamics</subject><subject>Convection, turbulence, diffusion. Boundary layer structure and dynamics</subject><subject>Datasets</subject><subject>Diurnal variations</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Fluctuations</subject><subject>Flux</subject><subject>General circulation models</subject><subject>Geographic regions</subject><subject>Geophysics. 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Boundary layer structure and dynamics</topic><topic>Datasets</topic><topic>Diurnal variations</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Fluctuations</topic><topic>Flux</topic><topic>General circulation models</topic><topic>Geographic regions</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>Heat transfer</topic><topic>Meteorology</topic><topic>Momentum transfer</topic><topic>Parameterization</topic><topic>Parametrization</topic><topic>Remote sensing</topic><topic>Research universities</topic><topic>Reynolds number</topic><topic>River basins</topic><topic>Roughness</topic><topic>Semiarid lands</topic><topic>Sensible heat</topic><topic>Soil surfaces</topic><topic>Studies</topic><topic>Surface roughness</topic><topic>Surface temperature</topic><topic>Theory</topic><topic>Turbulence</topic><topic>Vegetation canopies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Kun</creatorcontrib><creatorcontrib>Koike, Toshio</creatorcontrib><creatorcontrib>Ishikawa, Hirohiko</creatorcontrib><creatorcontrib>Kim, Joon</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Liu, Huizhi</creatorcontrib><creatorcontrib>Liu, Shaomin</creatorcontrib><creatorcontrib>Ma, Yaoming</creatorcontrib><creatorcontrib>Wang, Jieming</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - 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This paper presents the major characteristics of turbulent flux transfers over seven bare-soil surfaces. These sites are located in arid, semiarid, and semihumid regions in Asia and represent a variety of conditions for aerodynamic roughness length (z
0m; from <1 to 10 mm) and sensible heat flux (from −50 to 400 W m−2). For each site, parameterkB
−1[=ln(z
0m/z
0h), wherez
0his the thermal roughness length] exhibits clear diurnal variations with higher values during the day and lower values at night. Mean values ofz
0hfor the individual sites do not change significantly withz
0m, resulting inkB
−1increasing withz
0m, and thus the momentum transfer coefficient increases faster than the heat transfer coefficient withz
0m. The termkB
−1often becomes negative at night for relatively smooth surfaces (z
0m∼ 1 mm), indicating that the widely accepted excess resistance for heat transfer can be negative, which cannot be explained by current theories for aerodynamically rough surfaces. Last, severalkB
−1schemes are evaluated using the same datasets. The results indicate that a scheme that can reproduce the diurnal variation ofkB
−1generally performs better than schemes that cannot.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/2007jamc1547.1</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| source | Jstor Complete Legacy; American Meteorological Society; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Aerodynamics Arid regions Arid zones Atmosphere Computational fluid dynamics Convection, turbulence, diffusion. Boundary layer structure and dynamics Datasets Diurnal variations Earth, ocean, space Exact sciences and technology External geophysics Fluctuations Flux General circulation models Geographic regions Geophysics. Techniques, methods, instrumentation and models Heat transfer Meteorology Momentum transfer Parameterization Parametrization Remote sensing Research universities Reynolds number River basins Roughness Semiarid lands Sensible heat Soil surfaces Studies Surface roughness Surface temperature Theory Turbulence Vegetation canopies |
| title | Turbulent Flux Transfer over Bare-Soil Surfaces: Characteristics and Parameterization |
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