Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics
Lagrangian statistics of the surface circulation in the Indian Ocean (IO) are investigated using drifter observations during 1985–2013. The methodology isolates the influence of low-frequency variations and horizontal shear of mean flow. The estimated Lagrangian statistics are spatially inhomogeneou...
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description | Lagrangian statistics of the surface circulation in the Indian Ocean (IO) are investigated using drifter observations during 1985–2013. The methodology isolates the influence of low-frequency variations and horizontal shear of mean flow. The estimated Lagrangian statistics are spatially inhomogeneous and anisotropic over the IO basin, with values of ~6–85 × 10
7
cm
2
s
−1
for diffusivity, ~2–7 days for integral time scale, and ~33–223 km for length scale. Large diffusivities (>20 × 10
7
cm
2
s
−1
) occur in the central-eastern equatorial IO and the eastern African coast. Small diffusivities (~6–8 × 10
7
cm
2
s
−1
) appear in the subtropical gyre of the southern IO and the southeastern Arabian Sea. The equatorial IO has the largest zonal diffusivity (~85 × 10
7
cm
2
s
−1
), corresponding to the largest time scale (~7 days) and length scale (~223 km), while the eastern coast of Somalia has the largest meridional diffusivity (~31 × 10
7
cm
2
s
−1
). The minor component of the Lagrangian length scale is approximately equal to the first baroclinic Rossby radius (
R
1
) at midlatitudes (
R
1
~ 30–50 km), while the major component equals
R
1
in the equatorial region (
R
1
> 80 km). The periods of the energetic eddy-containing bands in the IO in Lagrangian spectra range from several days to a couple of months, where anticyclones dominate. A significant result is that the drifter-derived diffusivities asymptote to constant values in relatively short time lags (~10 days) for some subregions of the IO if they are correctly calculated. This is an important contribution to the ongoing debate regarding drifter-based diffusivity estimates with relatively short Lagrangian velocity time series versus tracer-based estimates. |
doi_str_mv | 10.1175/JPO-D-14-0049.1 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1660423328</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2799020972</sourcerecordid><originalsourceid>FETCH-LOGICAL-c371t-151c946cc815c7020dd0e9543f46f2fa82565998b583819928ee65ea5461cc513</originalsourceid><addsrcrecordid>eNp9kb1uGzEQhAkjAaw4qdMSSOOGMpdH8kh3hpQfBUJkQE5NMLylfY50Z5O8Is-RFw5l2Y2LNLvA7oeZAYaQj8DnAK26-H69YUsGknEu7RxOyAyU4IxLo96QGedCsEa3_JS8y_mec65B2Bn5u7jzyYeCqc-lD5mOkZY7pD_QJ7adUvQB6WJKCYeSaT88PVdD1_uBbgLW6TNdYjcF7GhM455ufcHdri_Ibqrw73p-kVmmPlajPKfXPhW6Wl3Stb9Nfrg9qG2LL8cM78nb6HcZPzzvM_Lzy-ebxTe23nxdLa7WLDQtFAYKgpU6BAMqtFzwruNolWyi1FFEb4TSylrzS5nGgLXCIGqFXkkNIShozsj5UfchjY8T5uL2fQ41vB9wnLIDrbkUTSNMRT-9Qu_HKQ01nROttdXctuJ_FGilhDSCy0pdHKmQxpwTRveQ-r1Pfxxwd6jS1Srd0oF0hyodNP8AsYWP6A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1655248204</pqid></control><display><type>article</type><title>Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics</title><source>American Meteorological Society</source><source>EZB Electronic Journals Library</source><creator>Peng, Shiqiu ; Qian, Yu-Kun ; Lumpkin, Rick ; Li, Ping ; Wang, Dongxiao ; Du, Yan</creator><creatorcontrib>Peng, Shiqiu ; Qian, Yu-Kun ; Lumpkin, Rick ; Li, Ping ; Wang, Dongxiao ; Du, Yan</creatorcontrib><description>Lagrangian statistics of the surface circulation in the Indian Ocean (IO) are investigated using drifter observations during 1985–2013. The methodology isolates the influence of low-frequency variations and horizontal shear of mean flow. The estimated Lagrangian statistics are spatially inhomogeneous and anisotropic over the IO basin, with values of ~6–85 × 10
7
cm
2
s
−1
for diffusivity, ~2–7 days for integral time scale, and ~33–223 km for length scale. Large diffusivities (>20 × 10
7
cm
2
s
−1
) occur in the central-eastern equatorial IO and the eastern African coast. Small diffusivities (~6–8 × 10
7
cm
2
s
−1
) appear in the subtropical gyre of the southern IO and the southeastern Arabian Sea. The equatorial IO has the largest zonal diffusivity (~85 × 10
7
cm
2
s
−1
), corresponding to the largest time scale (~7 days) and length scale (~223 km), while the eastern coast of Somalia has the largest meridional diffusivity (~31 × 10
7
cm
2
s
−1
). The minor component of the Lagrangian length scale is approximately equal to the first baroclinic Rossby radius (
R
1
) at midlatitudes (
R
1
~ 30–50 km), while the major component equals
R
1
in the equatorial region (
R
1
> 80 km). The periods of the energetic eddy-containing bands in the IO in Lagrangian spectra range from several days to a couple of months, where anticyclones dominate. A significant result is that the drifter-derived diffusivities asymptote to constant values in relatively short time lags (~10 days) for some subregions of the IO if they are correctly calculated. This is an important contribution to the ongoing debate regarding drifter-based diffusivity estimates with relatively short Lagrangian velocity time series versus tracer-based estimates.</description><identifier>ISSN: 0022-3670</identifier><identifier>EISSN: 1520-0485</identifier><identifier>DOI: 10.1175/JPO-D-14-0049.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Anticyclones ; Asymptotes ; Atoms & subatomic particles ; Decomposition ; Diffusion coefficients ; Diffusivity ; Drift ; Drifters ; Equatorial regions ; Estimates ; Frequency variation ; Investigations ; Marine ; Ocean circulation ; Ocean currents ; Oceans ; Satellite tracking ; Satellites ; Statistical methods ; Statistics ; Studies ; Surface circulation ; Surface currents ; Surface drifters ; Time ; Tracers ; Velocity</subject><ispartof>Journal of physical oceanography, 2015-02, Vol.45 (2), p.459-477</ispartof><rights>Copyright American Meteorological Society Feb 2015</rights><rights>Copyright American Meteorological Society 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-151c946cc815c7020dd0e9543f46f2fa82565998b583819928ee65ea5461cc513</citedby><cites>FETCH-LOGICAL-c371t-151c946cc815c7020dd0e9543f46f2fa82565998b583819928ee65ea5461cc513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3679,27923,27924</link.rule.ids></links><search><creatorcontrib>Peng, Shiqiu</creatorcontrib><creatorcontrib>Qian, Yu-Kun</creatorcontrib><creatorcontrib>Lumpkin, Rick</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Wang, Dongxiao</creatorcontrib><creatorcontrib>Du, Yan</creatorcontrib><title>Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics</title><title>Journal of physical oceanography</title><description>Lagrangian statistics of the surface circulation in the Indian Ocean (IO) are investigated using drifter observations during 1985–2013. The methodology isolates the influence of low-frequency variations and horizontal shear of mean flow. The estimated Lagrangian statistics are spatially inhomogeneous and anisotropic over the IO basin, with values of ~6–85 × 10
7
cm
2
s
−1
for diffusivity, ~2–7 days for integral time scale, and ~33–223 km for length scale. Large diffusivities (>20 × 10
7
cm
2
s
−1
) occur in the central-eastern equatorial IO and the eastern African coast. Small diffusivities (~6–8 × 10
7
cm
2
s
−1
) appear in the subtropical gyre of the southern IO and the southeastern Arabian Sea. The equatorial IO has the largest zonal diffusivity (~85 × 10
7
cm
2
s
−1
), corresponding to the largest time scale (~7 days) and length scale (~223 km), while the eastern coast of Somalia has the largest meridional diffusivity (~31 × 10
7
cm
2
s
−1
). The minor component of the Lagrangian length scale is approximately equal to the first baroclinic Rossby radius (
R
1
) at midlatitudes (
R
1
~ 30–50 km), while the major component equals
R
1
in the equatorial region (
R
1
> 80 km). The periods of the energetic eddy-containing bands in the IO in Lagrangian spectra range from several days to a couple of months, where anticyclones dominate. A significant result is that the drifter-derived diffusivities asymptote to constant values in relatively short time lags (~10 days) for some subregions of the IO if they are correctly calculated. This is an important contribution to the ongoing debate regarding drifter-based diffusivity estimates with relatively short Lagrangian velocity time series versus tracer-based estimates.</description><subject>Anticyclones</subject><subject>Asymptotes</subject><subject>Atoms & subatomic particles</subject><subject>Decomposition</subject><subject>Diffusion coefficients</subject><subject>Diffusivity</subject><subject>Drift</subject><subject>Drifters</subject><subject>Equatorial regions</subject><subject>Estimates</subject><subject>Frequency variation</subject><subject>Investigations</subject><subject>Marine</subject><subject>Ocean circulation</subject><subject>Ocean currents</subject><subject>Oceans</subject><subject>Satellite tracking</subject><subject>Satellites</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Studies</subject><subject>Surface circulation</subject><subject>Surface currents</subject><subject>Surface drifters</subject><subject>Time</subject><subject>Tracers</subject><subject>Velocity</subject><issn>0022-3670</issn><issn>1520-0485</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kb1uGzEQhAkjAaw4qdMSSOOGMpdH8kh3hpQfBUJkQE5NMLylfY50Z5O8Is-RFw5l2Y2LNLvA7oeZAYaQj8DnAK26-H69YUsGknEu7RxOyAyU4IxLo96QGedCsEa3_JS8y_mec65B2Bn5u7jzyYeCqc-lD5mOkZY7pD_QJ7adUvQB6WJKCYeSaT88PVdD1_uBbgLW6TNdYjcF7GhM455ufcHdri_Ibqrw73p-kVmmPlajPKfXPhW6Wl3Stb9Nfrg9qG2LL8cM78nb6HcZPzzvM_Lzy-ebxTe23nxdLa7WLDQtFAYKgpU6BAMqtFzwruNolWyi1FFEb4TSylrzS5nGgLXCIGqFXkkNIShozsj5UfchjY8T5uL2fQ41vB9wnLIDrbkUTSNMRT-9Qu_HKQ01nROttdXctuJ_FGilhDSCy0pdHKmQxpwTRveQ-r1Pfxxwd6jS1Srd0oF0hyodNP8AsYWP6A</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Peng, Shiqiu</creator><creator>Qian, Yu-Kun</creator><creator>Lumpkin, Rick</creator><creator>Li, Ping</creator><creator>Wang, Dongxiao</creator><creator>Du, Yan</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20150201</creationdate><title>Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics</title><author>Peng, Shiqiu ; Qian, Yu-Kun ; Lumpkin, Rick ; Li, Ping ; Wang, Dongxiao ; Du, Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-151c946cc815c7020dd0e9543f46f2fa82565998b583819928ee65ea5461cc513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Anticyclones</topic><topic>Asymptotes</topic><topic>Atoms & subatomic particles</topic><topic>Decomposition</topic><topic>Diffusion coefficients</topic><topic>Diffusivity</topic><topic>Drift</topic><topic>Drifters</topic><topic>Equatorial regions</topic><topic>Estimates</topic><topic>Frequency variation</topic><topic>Investigations</topic><topic>Marine</topic><topic>Ocean circulation</topic><topic>Ocean currents</topic><topic>Oceans</topic><topic>Satellite tracking</topic><topic>Satellites</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Studies</topic><topic>Surface circulation</topic><topic>Surface currents</topic><topic>Surface drifters</topic><topic>Time</topic><topic>Tracers</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Shiqiu</creatorcontrib><creatorcontrib>Qian, Yu-Kun</creatorcontrib><creatorcontrib>Lumpkin, Rick</creatorcontrib><creatorcontrib>Li, Ping</creatorcontrib><creatorcontrib>Wang, Dongxiao</creatorcontrib><creatorcontrib>Du, Yan</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic 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>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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</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>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</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>ProQuest Military Collection</collection><collection>ProQuest Research Library</collection><collection>ProQuest Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of physical oceanography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Shiqiu</au><au>Qian, Yu-Kun</au><au>Lumpkin, Rick</au><au>Li, Ping</au><au>Wang, Dongxiao</au><au>Du, Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics</atitle><jtitle>Journal of physical oceanography</jtitle><date>2015-02-01</date><risdate>2015</risdate><volume>45</volume><issue>2</issue><spage>459</spage><epage>477</epage><pages>459-477</pages><issn>0022-3670</issn><eissn>1520-0485</eissn><abstract>Lagrangian statistics of the surface circulation in the Indian Ocean (IO) are investigated using drifter observations during 1985–2013. The methodology isolates the influence of low-frequency variations and horizontal shear of mean flow. The estimated Lagrangian statistics are spatially inhomogeneous and anisotropic over the IO basin, with values of ~6–85 × 10
7
cm
2
s
−1
for diffusivity, ~2–7 days for integral time scale, and ~33–223 km for length scale. Large diffusivities (>20 × 10
7
cm
2
s
−1
) occur in the central-eastern equatorial IO and the eastern African coast. Small diffusivities (~6–8 × 10
7
cm
2
s
−1
) appear in the subtropical gyre of the southern IO and the southeastern Arabian Sea. The equatorial IO has the largest zonal diffusivity (~85 × 10
7
cm
2
s
−1
), corresponding to the largest time scale (~7 days) and length scale (~223 km), while the eastern coast of Somalia has the largest meridional diffusivity (~31 × 10
7
cm
2
s
−1
). The minor component of the Lagrangian length scale is approximately equal to the first baroclinic Rossby radius (
R
1
) at midlatitudes (
R
1
~ 30–50 km), while the major component equals
R
1
in the equatorial region (
R
1
> 80 km). The periods of the energetic eddy-containing bands in the IO in Lagrangian spectra range from several days to a couple of months, where anticyclones dominate. A significant result is that the drifter-derived diffusivities asymptote to constant values in relatively short time lags (~10 days) for some subregions of the IO if they are correctly calculated. This is an important contribution to the ongoing debate regarding drifter-based diffusivity estimates with relatively short Lagrangian velocity time series versus tracer-based estimates.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JPO-D-14-0049.1</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Anticyclones Asymptotes Atoms & subatomic particles Decomposition Diffusion coefficients Diffusivity Drift Drifters Equatorial regions Estimates Frequency variation Investigations Marine Ocean circulation Ocean currents Oceans Satellite tracking Satellites Statistical methods Statistics Studies Surface circulation Surface currents Surface drifters Time Tracers Velocity |
title | Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics |
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