Ocean Radiant Heating in Climate Models
A computationally simple, double exponential, chlorophyll-dependent solar transmission parameterization for ocean general circulation models used in climate studies is presented. The transmission parameterization comes from empirical fits to a set of in-water solar flux profiles calculated with an a...
Gespeichert in:
Veröffentlicht in: | Journal of climate 2003-05, Vol.16 (9), p.1337-1351 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1351 |
---|---|
container_issue | 9 |
container_start_page | 1337 |
container_title | Journal of climate |
container_volume | 16 |
creator | Ohlmann, J. Carter |
description | A computationally simple, double exponential, chlorophyll-dependent solar transmission parameterization for ocean general circulation models used in climate studies is presented. The transmission parameterization comes from empirical fits to a set of in-water solar flux profiles calculated with an atmosphere–ocean radiative transfer model system, run with chlorophyll concentration values over the range observed in oligotrophic, open ocean waters. Transmission parameters are available from a lookup table, or can be written as logarithmic and square root functions of chlorophyll concentration, available globally from remotely sensed ocean color data. The rms and maximum errors introduced by curve fitting are less than 3 × 10−3and 1.5 × 10−2, respectively. Error associated with neglect of second-order cloud and solar zenith angle influences is mostly a few percent. An extension to account for second-order processes in cases where they are large (>10%) is given. The double exponential form enables solar transmission to be resolved at depths beyond 2 m. Only the first exponential term need be considered to accurately determine transmission at depths greater than 8 m. The transmission parameterization is validated with in situ optical and biological data collected in the eastern equatorial Pacific during the Eastern Pacific Investigation of Climate Processes in the Coupled Ocean–Atmosphere System (EPIC) field program, and in the western equatorial Pacific during the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE). The rms (maximum) errors between parameterized transmission and the mean transmission profile computed from in situ values are 0.5 (1.5) and 1.9 (6.6) W m−2, for the eastern and western equatorial Pacific regions, respectively. For comparison, rms (maximum) errors between transmission from a commonly used Jerlov water type–based parameterization and mean measured values are 7.3 (26.7) and 5.0 (8.8) W m−2for the eastern and western Pacific, respectively (both cases assume a climatological surface flux of 200 W m−2). Proper use of the solar transmission parameterization should increase the accuracy of modeled SST and upper ocean stratification. The parameterization allows ocean radiant heating in climate models to be discussed in terms of chlorophyll concentration, the physical parameter on which solar transmission most heavily depends. |
doi_str_mv | 10.1175/1520-0442-16.9.1337 |
format | Article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_222870862</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26249703</jstor_id><sourcerecordid>26249703</sourcerecordid><originalsourceid>FETCH-LOGICAL-c437t-e09ddd9228dd1e76bcdfb35f4a8b2d1b52104b21796ae01fd737dd61849825bc3</originalsourceid><addsrcrecordid>eNpFkE9LxDAQxYMouK5-AhGKIJ5aZ5I0f46yqCusLIieQ5qk0qW2a9I9-O1t2WU9Dcz83pt5Q8g1QoEoywcsKeTAOc1RFLpAxuQJmR27p2QGSvNcybI8JxcpbQCQCoAZuV-7YLvs3frGdkO2DHZouq-s6bJF23zbIWRvvQ9tuiRntW1TuDrUOfl8fvpYLPPV-uV18bjKHWdyyANo772mVHmPQYrK-bpiZc2tqqjHqqQIvKIotbABsPaSSe8FKq4VLSvH5uR277uN_c8upMFs-l3sxpWGjq4SlKAjxPaQi31KMdRmG8dj469BMNNDzBTdTNENCqPN9JBRdXewtsnZto62c036l3IpBZd85G723CYNfTzOqaBcS2DsDxP6Z2c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>222870862</pqid></control><display><type>article</type><title>Ocean Radiant Heating in Climate Models</title><source>Jstor Complete Legacy</source><source>American Meteorological Society</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Ohlmann, J. Carter</creator><creatorcontrib>Ohlmann, J. Carter</creatorcontrib><description>A computationally simple, double exponential, chlorophyll-dependent solar transmission parameterization for ocean general circulation models used in climate studies is presented. The transmission parameterization comes from empirical fits to a set of in-water solar flux profiles calculated with an atmosphere–ocean radiative transfer model system, run with chlorophyll concentration values over the range observed in oligotrophic, open ocean waters. Transmission parameters are available from a lookup table, or can be written as logarithmic and square root functions of chlorophyll concentration, available globally from remotely sensed ocean color data. The rms and maximum errors introduced by curve fitting are less than 3 × 10−3and 1.5 × 10−2, respectively. Error associated with neglect of second-order cloud and solar zenith angle influences is mostly a few percent. An extension to account for second-order processes in cases where they are large (>10%) is given. The double exponential form enables solar transmission to be resolved at depths beyond 2 m. Only the first exponential term need be considered to accurately determine transmission at depths greater than 8 m. The transmission parameterization is validated with in situ optical and biological data collected in the eastern equatorial Pacific during the Eastern Pacific Investigation of Climate Processes in the Coupled Ocean–Atmosphere System (EPIC) field program, and in the western equatorial Pacific during the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE). The rms (maximum) errors between parameterized transmission and the mean transmission profile computed from in situ values are 0.5 (1.5) and 1.9 (6.6) W m−2, for the eastern and western equatorial Pacific regions, respectively. For comparison, rms (maximum) errors between transmission from a commonly used Jerlov water type–based parameterization and mean measured values are 7.3 (26.7) and 5.0 (8.8) W m−2for the eastern and western Pacific, respectively (both cases assume a climatological surface flux of 200 W m−2). Proper use of the solar transmission parameterization should increase the accuracy of modeled SST and upper ocean stratification. The parameterization allows ocean radiant heating in climate models to be discussed in terms of chlorophyll concentration, the physical parameter on which solar transmission most heavily depends.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/1520-0442-16.9.1337</identifier><language>eng</language><publisher>Boston, MA: American Meteorological Society</publisher><subject>Atmosphere ; Chlorophyll ; Chlorophylls ; Climate ; Climate models ; Climate studies ; Data transmission ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Heat ; Ocean-atmosphere interaction ; Oceans ; Parameterization ; Parametric models ; Physical and chemical properties of sea water ; Physics of the oceans ; Radiant heating ; Radiative transfer ; Sea water ; Seas ; Solar flux ; Upper ocean</subject><ispartof>Journal of climate, 2003-05, Vol.16 (9), p.1337-1351</ispartof><rights>2003 American Meteorological Society</rights><rights>2003 INIST-CNRS</rights><rights>Copyright American Meteorological Society May 1, 2003</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-e09ddd9228dd1e76bcdfb35f4a8b2d1b52104b21796ae01fd737dd61849825bc3</citedby><cites>FETCH-LOGICAL-c437t-e09ddd9228dd1e76bcdfb35f4a8b2d1b52104b21796ae01fd737dd61849825bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26249703$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26249703$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,3668,27901,27902,57992,58225</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14776474$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Ohlmann, J. Carter</creatorcontrib><title>Ocean Radiant Heating in Climate Models</title><title>Journal of climate</title><description>A computationally simple, double exponential, chlorophyll-dependent solar transmission parameterization for ocean general circulation models used in climate studies is presented. The transmission parameterization comes from empirical fits to a set of in-water solar flux profiles calculated with an atmosphere–ocean radiative transfer model system, run with chlorophyll concentration values over the range observed in oligotrophic, open ocean waters. Transmission parameters are available from a lookup table, or can be written as logarithmic and square root functions of chlorophyll concentration, available globally from remotely sensed ocean color data. The rms and maximum errors introduced by curve fitting are less than 3 × 10−3and 1.5 × 10−2, respectively. Error associated with neglect of second-order cloud and solar zenith angle influences is mostly a few percent. An extension to account for second-order processes in cases where they are large (>10%) is given. The double exponential form enables solar transmission to be resolved at depths beyond 2 m. Only the first exponential term need be considered to accurately determine transmission at depths greater than 8 m. The transmission parameterization is validated with in situ optical and biological data collected in the eastern equatorial Pacific during the Eastern Pacific Investigation of Climate Processes in the Coupled Ocean–Atmosphere System (EPIC) field program, and in the western equatorial Pacific during the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE). The rms (maximum) errors between parameterized transmission and the mean transmission profile computed from in situ values are 0.5 (1.5) and 1.9 (6.6) W m−2, for the eastern and western equatorial Pacific regions, respectively. For comparison, rms (maximum) errors between transmission from a commonly used Jerlov water type–based parameterization and mean measured values are 7.3 (26.7) and 5.0 (8.8) W m−2for the eastern and western Pacific, respectively (both cases assume a climatological surface flux of 200 W m−2). Proper use of the solar transmission parameterization should increase the accuracy of modeled SST and upper ocean stratification. The parameterization allows ocean radiant heating in climate models to be discussed in terms of chlorophyll concentration, the physical parameter on which solar transmission most heavily depends.</description><subject>Atmosphere</subject><subject>Chlorophyll</subject><subject>Chlorophylls</subject><subject>Climate</subject><subject>Climate models</subject><subject>Climate studies</subject><subject>Data transmission</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Heat</subject><subject>Ocean-atmosphere interaction</subject><subject>Oceans</subject><subject>Parameterization</subject><subject>Parametric models</subject><subject>Physical and chemical properties of sea water</subject><subject>Physics of the oceans</subject><subject>Radiant heating</subject><subject>Radiative transfer</subject><subject>Sea water</subject><subject>Seas</subject><subject>Solar flux</subject><subject>Upper ocean</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpFkE9LxDAQxYMouK5-AhGKIJ5aZ5I0f46yqCusLIieQ5qk0qW2a9I9-O1t2WU9Dcz83pt5Q8g1QoEoywcsKeTAOc1RFLpAxuQJmR27p2QGSvNcybI8JxcpbQCQCoAZuV-7YLvs3frGdkO2DHZouq-s6bJF23zbIWRvvQ9tuiRntW1TuDrUOfl8fvpYLPPV-uV18bjKHWdyyANo772mVHmPQYrK-bpiZc2tqqjHqqQIvKIotbABsPaSSe8FKq4VLSvH5uR277uN_c8upMFs-l3sxpWGjq4SlKAjxPaQi31KMdRmG8dj469BMNNDzBTdTNENCqPN9JBRdXewtsnZto62c036l3IpBZd85G723CYNfTzOqaBcS2DsDxP6Z2c</recordid><startdate>20030501</startdate><enddate>20030501</enddate><creator>Ohlmann, J. Carter</creator><general>American Meteorological Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</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>C1K</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>M0K</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>20030501</creationdate><title>Ocean Radiant Heating in Climate Models</title><author>Ohlmann, J. Carter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-e09ddd9228dd1e76bcdfb35f4a8b2d1b52104b21796ae01fd737dd61849825bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Atmosphere</topic><topic>Chlorophyll</topic><topic>Chlorophylls</topic><topic>Climate</topic><topic>Climate models</topic><topic>Climate studies</topic><topic>Data transmission</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Heat</topic><topic>Ocean-atmosphere interaction</topic><topic>Oceans</topic><topic>Parameterization</topic><topic>Parametric models</topic><topic>Physical and chemical properties of sea water</topic><topic>Physics of the oceans</topic><topic>Radiant heating</topic><topic>Radiative transfer</topic><topic>Sea water</topic><topic>Seas</topic><topic>Solar flux</topic><topic>Upper ocean</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ohlmann, J. Carter</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</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 Natural Science 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>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>Agricultural Science Database</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</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 climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ohlmann, J. Carter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ocean Radiant Heating in Climate Models</atitle><jtitle>Journal of climate</jtitle><date>2003-05-01</date><risdate>2003</risdate><volume>16</volume><issue>9</issue><spage>1337</spage><epage>1351</epage><pages>1337-1351</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>A computationally simple, double exponential, chlorophyll-dependent solar transmission parameterization for ocean general circulation models used in climate studies is presented. The transmission parameterization comes from empirical fits to a set of in-water solar flux profiles calculated with an atmosphere–ocean radiative transfer model system, run with chlorophyll concentration values over the range observed in oligotrophic, open ocean waters. Transmission parameters are available from a lookup table, or can be written as logarithmic and square root functions of chlorophyll concentration, available globally from remotely sensed ocean color data. The rms and maximum errors introduced by curve fitting are less than 3 × 10−3and 1.5 × 10−2, respectively. Error associated with neglect of second-order cloud and solar zenith angle influences is mostly a few percent. An extension to account for second-order processes in cases where they are large (>10%) is given. The double exponential form enables solar transmission to be resolved at depths beyond 2 m. Only the first exponential term need be considered to accurately determine transmission at depths greater than 8 m. The transmission parameterization is validated with in situ optical and biological data collected in the eastern equatorial Pacific during the Eastern Pacific Investigation of Climate Processes in the Coupled Ocean–Atmosphere System (EPIC) field program, and in the western equatorial Pacific during the Tropical Ocean Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE). The rms (maximum) errors between parameterized transmission and the mean transmission profile computed from in situ values are 0.5 (1.5) and 1.9 (6.6) W m−2, for the eastern and western equatorial Pacific regions, respectively. For comparison, rms (maximum) errors between transmission from a commonly used Jerlov water type–based parameterization and mean measured values are 7.3 (26.7) and 5.0 (8.8) W m−2for the eastern and western Pacific, respectively (both cases assume a climatological surface flux of 200 W m−2). Proper use of the solar transmission parameterization should increase the accuracy of modeled SST and upper ocean stratification. The parameterization allows ocean radiant heating in climate models to be discussed in terms of chlorophyll concentration, the physical parameter on which solar transmission most heavily depends.</abstract><cop>Boston, MA</cop><pub>American Meteorological Society</pub><doi>10.1175/1520-0442-16.9.1337</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0894-8755 |
ispartof | Journal of climate, 2003-05, Vol.16 (9), p.1337-1351 |
issn | 0894-8755 1520-0442 |
language | eng |
recordid | cdi_proquest_journals_222870862 |
source | Jstor Complete Legacy; American Meteorological Society; EZB-FREE-00999 freely available EZB journals |
subjects | Atmosphere Chlorophyll Chlorophylls Climate Climate models Climate studies Data transmission Earth, ocean, space Exact sciences and technology External geophysics Heat Ocean-atmosphere interaction Oceans Parameterization Parametric models Physical and chemical properties of sea water Physics of the oceans Radiant heating Radiative transfer Sea water Seas Solar flux Upper ocean |
title | Ocean Radiant Heating in Climate Models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T05%3A25%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ocean%20Radiant%20Heating%20in%20Climate%20Models&rft.jtitle=Journal%20of%20climate&rft.au=Ohlmann,%20J.%20Carter&rft.date=2003-05-01&rft.volume=16&rft.issue=9&rft.spage=1337&rft.epage=1351&rft.pages=1337-1351&rft.issn=0894-8755&rft.eissn=1520-0442&rft_id=info:doi/10.1175/1520-0442-16.9.1337&rft_dat=%3Cjstor_proqu%3E26249703%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=222870862&rft_id=info:pmid/&rft_jstor_id=26249703&rfr_iscdi=true |