Intercomparison of nocturnal mixing height estimate methods for urban air pollution modelling
One of the most important meteorological input parameters for three-dimensional photochemical air pollution models is the mixing height h, which has a strong influence on the shape and intensity of the vertical diffusivity K z and, as a consequence, on ground-level air concentrations of primary and...
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| Veröffentlicht in: | Atmospheric environment (1994) 1999-07, Vol.33 (15), p.2385-2393 |
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| creator | Lena, Francesca Desiato, Franco |
| description | One of the most important meteorological input parameters for three-dimensional photochemical air pollution models is the mixing height
h, which has a strong influence on the shape and intensity of the vertical diffusivity
K
z
and, as a consequence, on ground-level air concentrations of primary and secondary pollutants. A number of indirect algorithms for the estimate of
h in nocturnal, stable conditions, when the mixing is dominated by mechanical turbulence, are reviewed and compared with mixing heights derived from wind (SODAR) and temperature (RASS) profiles measured in the Milan urban area during spring and summer 1996. Mixing heights derived from temperature soundings correlate positively with those derived from wind soundings only when a stable layer is superimposed to a quasi-adiabatic layer, while the correlation is very weak in the presence of a ground-based inversion. In general, indirect algorithms perform very poorly if compared with RASS-based estimates, and reasonably well if compared with SODAR-based estimates. Among the others, Benkley and Schulman (1979, Journal of Applied Meteorology 18, 772–780) method, which makes use of wind speed observed at 10
m height, and Nieuwstadt (1984, Boundary-Layer Meteorology 30, 31–55), which makes use of friction velocity and Monin–Obukhov length, give the best results. |
| doi_str_mv | 10.1016/S1352-2310(98)00398-7 |
| format | Article |
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h, which has a strong influence on the shape and intensity of the vertical diffusivity
K
z
and, as a consequence, on ground-level air concentrations of primary and secondary pollutants. A number of indirect algorithms for the estimate of
h in nocturnal, stable conditions, when the mixing is dominated by mechanical turbulence, are reviewed and compared with mixing heights derived from wind (SODAR) and temperature (RASS) profiles measured in the Milan urban area during spring and summer 1996. Mixing heights derived from temperature soundings correlate positively with those derived from wind soundings only when a stable layer is superimposed to a quasi-adiabatic layer, while the correlation is very weak in the presence of a ground-based inversion. In general, indirect algorithms perform very poorly if compared with RASS-based estimates, and reasonably well if compared with SODAR-based estimates. Among the others, Benkley and Schulman (1979, Journal of Applied Meteorology 18, 772–780) method, which makes use of wind speed observed at 10
m height, and Nieuwstadt (1984, Boundary-Layer Meteorology 30, 31–55), which makes use of friction velocity and Monin–Obukhov length, give the best results.</description><identifier>ISSN: 1352-2310</identifier><identifier>EISSN: 1873-2844</identifier><identifier>DOI: 10.1016/S1352-2310(98)00398-7</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Atmospheric pollution ; Convection, turbulence, diffusion. Boundary layer structure and dynamics ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Meteorological pre-processing ; Meteorology ; Mixing height ; Pollutants physicochemistry study: properties, effects, reactions, transport and distribution ; Pollution ; Stable boundary layer ; Urban environment</subject><ispartof>Atmospheric environment (1994), 1999-07, Vol.33 (15), p.2385-2393</ispartof><rights>1999 Elsevier Science Ltd</rights><rights>1999 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-fd7800d63792416e32c6372f7b019b9fd709aad359169b3b328c892756df81b13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1352231098003987$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1753976$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lena, Francesca</creatorcontrib><creatorcontrib>Desiato, Franco</creatorcontrib><title>Intercomparison of nocturnal mixing height estimate methods for urban air pollution modelling</title><title>Atmospheric environment (1994)</title><description>One of the most important meteorological input parameters for three-dimensional photochemical air pollution models is the mixing height
h, which has a strong influence on the shape and intensity of the vertical diffusivity
K
z
and, as a consequence, on ground-level air concentrations of primary and secondary pollutants. A number of indirect algorithms for the estimate of
h in nocturnal, stable conditions, when the mixing is dominated by mechanical turbulence, are reviewed and compared with mixing heights derived from wind (SODAR) and temperature (RASS) profiles measured in the Milan urban area during spring and summer 1996. Mixing heights derived from temperature soundings correlate positively with those derived from wind soundings only when a stable layer is superimposed to a quasi-adiabatic layer, while the correlation is very weak in the presence of a ground-based inversion. In general, indirect algorithms perform very poorly if compared with RASS-based estimates, and reasonably well if compared with SODAR-based estimates. Among the others, Benkley and Schulman (1979, Journal of Applied Meteorology 18, 772–780) method, which makes use of wind speed observed at 10
m height, and Nieuwstadt (1984, Boundary-Layer Meteorology 30, 31–55), which makes use of friction velocity and Monin–Obukhov length, give the best results.</description><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Convection, turbulence, diffusion. Boundary layer structure and dynamics</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Meteorological pre-processing</subject><subject>Meteorology</subject><subject>Mixing height</subject><subject>Pollutants physicochemistry study: properties, effects, reactions, transport and distribution</subject><subject>Pollution</subject><subject>Stable boundary layer</subject><subject>Urban environment</subject><issn>1352-2310</issn><issn>1873-2844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkUtLxTAQhYsoeH38BCELEV1U82jzWImILxBcqEsJaZp6I21yTVLRf2_uQ1x2NQPznZnDnKI4QvAcQUQvnhGpcYkJgqeCn0FIBC_ZVjFDnJES86razv0fslvsxfgBM8UEmxVvDy6ZoP2wUMFG74DvgPM6jcGpHgz227p3MDf2fZ6AickOKhkwmDT3bQSdD2AMjXJA2QAWvu_HZPOOwbem77PyoNjpVB_N4abuF6-3Ny_X9-Xj093D9dVjqSsKU9m1jEPY0mwJV4gagnXucccaiEQj8hgKpVpSC0RFQxqCueYCs5q2HUcNIvvFyXrvIvjPMfuUg406e1DO-DFKzGAtqCCTIOJQCMj5NEgRJhTSabCqUUV5ncF6DergYwymk4uQ3xl-JIJymaNc5SiXIUnB5SpHybLueHNARa36LiinbfwXs5oItvRxucZM_vOXNUFGbY3TprXB6CRbbycO_QIb1bF4</recordid><startdate>19990701</startdate><enddate>19990701</enddate><creator>Lena, Francesca</creator><creator>Desiato, Franco</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TV</scope><scope>7TG</scope><scope>KL.</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19990701</creationdate><title>Intercomparison of nocturnal mixing height estimate methods for urban air pollution modelling</title><author>Lena, Francesca ; Desiato, Franco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-fd7800d63792416e32c6372f7b019b9fd709aad359169b3b328c892756df81b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Applied sciences</topic><topic>Atmospheric pollution</topic><topic>Convection, turbulence, diffusion. Boundary layer structure and dynamics</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Meteorological pre-processing</topic><topic>Meteorology</topic><topic>Mixing height</topic><topic>Pollutants physicochemistry study: properties, effects, reactions, transport and distribution</topic><topic>Pollution</topic><topic>Stable boundary layer</topic><topic>Urban environment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lena, Francesca</creatorcontrib><creatorcontrib>Desiato, Franco</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Atmospheric environment (1994)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lena, Francesca</au><au>Desiato, Franco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intercomparison of nocturnal mixing height estimate methods for urban air pollution modelling</atitle><jtitle>Atmospheric environment (1994)</jtitle><date>1999-07-01</date><risdate>1999</risdate><volume>33</volume><issue>15</issue><spage>2385</spage><epage>2393</epage><pages>2385-2393</pages><issn>1352-2310</issn><eissn>1873-2844</eissn><abstract>One of the most important meteorological input parameters for three-dimensional photochemical air pollution models is the mixing height
h, which has a strong influence on the shape and intensity of the vertical diffusivity
K
z
and, as a consequence, on ground-level air concentrations of primary and secondary pollutants. A number of indirect algorithms for the estimate of
h in nocturnal, stable conditions, when the mixing is dominated by mechanical turbulence, are reviewed and compared with mixing heights derived from wind (SODAR) and temperature (RASS) profiles measured in the Milan urban area during spring and summer 1996. Mixing heights derived from temperature soundings correlate positively with those derived from wind soundings only when a stable layer is superimposed to a quasi-adiabatic layer, while the correlation is very weak in the presence of a ground-based inversion. In general, indirect algorithms perform very poorly if compared with RASS-based estimates, and reasonably well if compared with SODAR-based estimates. Among the others, Benkley and Schulman (1979, Journal of Applied Meteorology 18, 772–780) method, which makes use of wind speed observed at 10
m height, and Nieuwstadt (1984, Boundary-Layer Meteorology 30, 31–55), which makes use of friction velocity and Monin–Obukhov length, give the best results.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/S1352-2310(98)00398-7</doi><tpages>9</tpages></addata></record> |
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| ispartof | Atmospheric environment (1994), 1999-07, Vol.33 (15), p.2385-2393 |
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| subjects | Applied sciences Atmospheric pollution Convection, turbulence, diffusion. Boundary layer structure and dynamics Earth, ocean, space Exact sciences and technology External geophysics Meteorological pre-processing Meteorology Mixing height Pollutants physicochemistry study: properties, effects, reactions, transport and distribution Pollution Stable boundary layer Urban environment |
| title | Intercomparison of nocturnal mixing height estimate methods for urban air pollution modelling |
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