On the Synoptic-Scale Lagrangian Autocorrelation Function
A large set of 10-day, quasi-two-dimensional atmospheric trajectory model data is used to compute Lagrangian autocorrelation functions for horizontal velocity components and to determine their integral timescaleTL . The objectives of the study are to investigate the seasonal, interannual, and altitu...
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| Veröffentlicht in: | Journal of applied meteorology (1988) 2003-02, Vol.42 (2), p.318-324 |
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| container_title | Journal of applied meteorology (1988) |
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| creator | Daoud, Wessam Z. Kahl, Jonathan D. W. Ghorai, Jugal K. |
| description | A large set of 10-day, quasi-two-dimensional atmospheric trajectory model data is used to compute Lagrangian autocorrelation functions for horizontal velocity components and to determine their integral timescaleTL
. The objectives of the study are to investigate the seasonal, interannual, and altitudinal behavior ofTL
and to present the Lagrangian autocorrelation functions corresponding to synoptic-scale flow. Results indicate that the integral timescaleTL
ranges from 15 to 24 h, with values for the meridional velocity component that are 10%-25% less than values for the zonal velocity component. The Lagrangian autocorrelation functions are modeled using Gaussian and second-order autoregressive autocorrelation models. The model fits to the observed autocorrelation functions were found to be of similar form to those determined for a 1-yr set of three-dimensional trajectory data, suggesting that these functions are robust with respect to synoptic-scale, tropospheric flow. |
| doi_str_mv | 10.1175/1520-0450(2003)042<0318:OTSSLA>2.0.CO;2 |
| format | Article |
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. The objectives of the study are to investigate the seasonal, interannual, and altitudinal behavior ofTL
and to present the Lagrangian autocorrelation functions corresponding to synoptic-scale flow. Results indicate that the integral timescaleTL
ranges from 15 to 24 h, with values for the meridional velocity component that are 10%-25% less than values for the zonal velocity component. The Lagrangian autocorrelation functions are modeled using Gaussian and second-order autoregressive autocorrelation models. The model fits to the observed autocorrelation functions were found to be of similar form to those determined for a 1-yr set of three-dimensional trajectory data, suggesting that these functions are robust with respect to synoptic-scale, tropospheric flow.</description><identifier>ISSN: 0894-8763</identifier><identifier>EISSN: 1520-0450</identifier><identifier>DOI: 10.1175/1520-0450(2003)042<0318:OTSSLA>2.0.CO;2</identifier><identifier>CODEN: JOAMEZ</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Atmospherics ; Autocorrelation ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Flow velocity ; Geophysics. Techniques, methods, instrumentation and models ; Lagrangian function ; Mathematical functions ; Meteors ; Scalars ; Trajectories ; Velocity ; Wind velocity</subject><ispartof>Journal of applied meteorology (1988), 2003-02, Vol.42 (2), p.318-324</ispartof><rights>2003 American Meteorological Society</rights><rights>2003 INIST-CNRS</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c365t-59d98834599a5d16dccc646f09d6ae4a28068534c20a1b3a35517c7ceea6af2d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26185406$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26185406$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,27926,27927,58019,58252</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15023974$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Daoud, Wessam Z.</creatorcontrib><creatorcontrib>Kahl, Jonathan D. W.</creatorcontrib><creatorcontrib>Ghorai, Jugal K.</creatorcontrib><title>On the Synoptic-Scale Lagrangian Autocorrelation Function</title><title>Journal of applied meteorology (1988)</title><description>A large set of 10-day, quasi-two-dimensional atmospheric trajectory model data is used to compute Lagrangian autocorrelation functions for horizontal velocity components and to determine their integral timescaleTL
. The objectives of the study are to investigate the seasonal, interannual, and altitudinal behavior ofTL
and to present the Lagrangian autocorrelation functions corresponding to synoptic-scale flow. Results indicate that the integral timescaleTL
ranges from 15 to 24 h, with values for the meridional velocity component that are 10%-25% less than values for the zonal velocity component. The Lagrangian autocorrelation functions are modeled using Gaussian and second-order autoregressive autocorrelation models. The model fits to the observed autocorrelation functions were found to be of similar form to those determined for a 1-yr set of three-dimensional trajectory data, suggesting that these functions are robust with respect to synoptic-scale, tropospheric flow.</description><subject>Atmospherics</subject><subject>Autocorrelation</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Flow velocity</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><subject>Lagrangian function</subject><subject>Mathematical functions</subject><subject>Meteors</subject><subject>Scalars</subject><subject>Trajectories</subject><subject>Velocity</subject><subject>Wind velocity</subject><issn>0894-8763</issn><issn>1520-0450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNpFkE1Lw0AQhhdRsFZ_gpCLooe0s5_Jqggl2CoEckg9L-tmU1PSpO4mh_57Eyr1NO8wD-_Ag9AcwwzjiM8xJxAC4_BAAOgjMPICFMdP2TrP08UrmcEsyZ7JGZqcyHM0gViyMI4EvURX3m8BAFMWTZDMmqD7tkF-aNp9V5kwN7q2Qao3TjebSjfBou9a0zpna91VbRMs-8aM4RpdlLr29uZvTtHn8m2dvIdptvpIFmloqOBdyGUh45gyLqXmBRaFMUYwUYIshLZMkxhEzCkzBDT-oppyjiMTGWu10CUp6BTdH3v3rv3pre_UrvLG1rVubNt7RSIJjDE-gKsjaFzrvbOl2rtqp91BYVCjOjUKUaMQNaobElGjOnVUp4ZNJZkiQ9Pd30vtBx3loMJU_r-OA6EyYgN3e-S2vmvd6U4EjjkDQX8BsT568Q</recordid><startdate>20030201</startdate><enddate>20030201</enddate><creator>Daoud, Wessam Z.</creator><creator>Kahl, Jonathan D. W.</creator><creator>Ghorai, Jugal K.</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20030201</creationdate><title>On the Synoptic-Scale Lagrangian Autocorrelation Function</title><author>Daoud, Wessam Z. ; Kahl, Jonathan D. W. ; Ghorai, Jugal K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-59d98834599a5d16dccc646f09d6ae4a28068534c20a1b3a35517c7ceea6af2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Atmospherics</topic><topic>Autocorrelation</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Flow velocity</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><topic>Lagrangian function</topic><topic>Mathematical functions</topic><topic>Meteors</topic><topic>Scalars</topic><topic>Trajectories</topic><topic>Velocity</topic><topic>Wind velocity</topic><toplevel>online_resources</toplevel><creatorcontrib>Daoud, Wessam Z.</creatorcontrib><creatorcontrib>Kahl, Jonathan D. W.</creatorcontrib><creatorcontrib>Ghorai, Jugal K.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of applied meteorology (1988)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daoud, Wessam Z.</au><au>Kahl, Jonathan D. W.</au><au>Ghorai, Jugal K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Synoptic-Scale Lagrangian Autocorrelation Function</atitle><jtitle>Journal of applied meteorology (1988)</jtitle><date>2003-02-01</date><risdate>2003</risdate><volume>42</volume><issue>2</issue><spage>318</spage><epage>324</epage><pages>318-324</pages><issn>0894-8763</issn><eissn>1520-0450</eissn><coden>JOAMEZ</coden><abstract>A large set of 10-day, quasi-two-dimensional atmospheric trajectory model data is used to compute Lagrangian autocorrelation functions for horizontal velocity components and to determine their integral timescaleTL
. The objectives of the study are to investigate the seasonal, interannual, and altitudinal behavior ofTL
and to present the Lagrangian autocorrelation functions corresponding to synoptic-scale flow. Results indicate that the integral timescaleTL
ranges from 15 to 24 h, with values for the meridional velocity component that are 10%-25% less than values for the zonal velocity component. The Lagrangian autocorrelation functions are modeled using Gaussian and second-order autoregressive autocorrelation models. The model fits to the observed autocorrelation functions were found to be of similar form to those determined for a 1-yr set of three-dimensional trajectory data, suggesting that these functions are robust with respect to synoptic-scale, tropospheric flow.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/1520-0450(2003)042<0318:OTSSLA>2.0.CO;2</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Atmospherics Autocorrelation Earth, ocean, space Exact sciences and technology External geophysics Flow velocity Geophysics. Techniques, methods, instrumentation and models Lagrangian function Mathematical functions Meteors Scalars Trajectories Velocity Wind velocity |
| title | On the Synoptic-Scale Lagrangian Autocorrelation Function |
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