Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models
A physically based snow albedo model (PBSAM), which can be used in a general circulation model, is developed. PBSAM calculates broadband albedos and the solar heating profile in snowpack as functions of snow grain size and concentrations of snow impurities, black carbon and mineral dust, in snow wit...
Gespeichert in:
Veröffentlicht in: | Journal of Geophysical Research 2011-06, Vol.116 (D11), p.n/a, Article D11114 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | n/a |
---|---|
container_issue | D11 |
container_start_page | |
container_title | Journal of Geophysical Research |
container_volume | 116 |
creator | Aoki, Teruo Kuchiki, Katsuyuki Niwano, Masashi Kodama, Yuji Hosaka, Masahiro Tanaka, Taichu |
description | A physically based snow albedo model (PBSAM), which can be used in a general circulation model, is developed. PBSAM calculates broadband albedos and the solar heating profile in snowpack as functions of snow grain size and concentrations of snow impurities, black carbon and mineral dust, in snow with any layer structure and under any solar illumination condition. The model calculates the visible and near‐infrared (NIR) albedos by dividing each broadband spectrum into several spectral subbands to simulate the change in spectral distribution of solar radiation in the broadband spectra at the snow surface and in the snowpack. PBSAM uses (1) the look‐up table method for calculations of albedo and transmittance in spectral subbands for a homogeneous snow layer, (2) an “adding” method for calculating the effect of an inhomogeneous snow structure on albedo and transmittance, and (3) spectral weighting of radiative parameters to obtain the broadband values from the subbands. We confirmed that PBSAM can calculate the broadband albedos of single‐ and two‐layer snow models with good accuracy by comparing them with those calculated by a spectrally detailed radiative transfer model (RTM). In addition, we used radiation budget measurements and snow pit data obtained during the two winters from 2007 to 2009 at Sapporo, Hokkaido, Japan, for simulation of the broadband albedos by PBSAM and compared the results with the in situ measurements. A five‐layer snow model with one visible subband and three NIR subbands were necessary for accurate simulation. Comparison of solar heating profiles calculated by PBSAM with those calculated by the spectrally detailed RTM showed that PBSAM calculated accurate solar heating profiles when at least three subbands were used in both the visible and NIR bands.
Key Points
Broadband snow albedo model as function of snow parameters for GCM is presented
The model was validated with long‐term radiation budget and snow pit work data
Solar heating profile in snowpack can be calculated as well |
doi_str_mv | 10.1029/2010JD015507 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1011203090</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2506192871</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5111-f0ceef77a1fb1b2238818f86d37aa8a80c7602de0e2df4348fb2bab43ab411fe3</originalsourceid><addsrcrecordid>eNp9kc9uEzEQh1cIJKLSGw9gISFxYGHGXq-dI2ppoKogqvh3s2a9drOtsw52opKH4J1xu1GFOGDJsg_f75vRTFU9R3iDwOdvOSCcnwJKCepRNeMo25pz4I-rGWCja-BcPa2Oc76GchrZNoCz6vdytc-DpRD2rKPsepbHeMsodK6PbB17F5iPiRXC7gJth_GKdSlS39HYH7DM7v7blWM5Bkps5SZuk6IfgmPDeC_dkL25d1250SUKzA5pcsZxqpSfVU88heyOD-9R9fXs_ZeTD_XF58XHk3cXtZWIWHuwznmlCH2HHedCa9Ret71QRJo0WNUC7x043vtGNNp3vKOuEeUieieOqleTt7T4c-fy1qyHbF0INLq4ywYBkYOAORT0xT_oddylsXRn5sDbeSOkLNDrCbIp5pycN5s0rCnti8ncbcf8vZ2Cvzw4KZfB-kSjHfJDhkuJWkteODFxt2WM-_86zfni8hQVKCypekoNeet-PaQo3ZhWCSXN908Lc_ZNyMvlcmF-iD93fK54</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>902694355</pqid></control><display><type>article</type><title>Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models</title><source>Wiley Free Content</source><source>Wiley-Blackwell AGU Digital Library</source><source>Wiley Online Library All Journals</source><source>Alma/SFX Local Collection</source><creator>Aoki, Teruo ; Kuchiki, Katsuyuki ; Niwano, Masashi ; Kodama, Yuji ; Hosaka, Masahiro ; Tanaka, Taichu</creator><creatorcontrib>Aoki, Teruo ; Kuchiki, Katsuyuki ; Niwano, Masashi ; Kodama, Yuji ; Hosaka, Masahiro ; Tanaka, Taichu</creatorcontrib><description>A physically based snow albedo model (PBSAM), which can be used in a general circulation model, is developed. PBSAM calculates broadband albedos and the solar heating profile in snowpack as functions of snow grain size and concentrations of snow impurities, black carbon and mineral dust, in snow with any layer structure and under any solar illumination condition. The model calculates the visible and near‐infrared (NIR) albedos by dividing each broadband spectrum into several spectral subbands to simulate the change in spectral distribution of solar radiation in the broadband spectra at the snow surface and in the snowpack. PBSAM uses (1) the look‐up table method for calculations of albedo and transmittance in spectral subbands for a homogeneous snow layer, (2) an “adding” method for calculating the effect of an inhomogeneous snow structure on albedo and transmittance, and (3) spectral weighting of radiative parameters to obtain the broadband values from the subbands. We confirmed that PBSAM can calculate the broadband albedos of single‐ and two‐layer snow models with good accuracy by comparing them with those calculated by a spectrally detailed radiative transfer model (RTM). In addition, we used radiation budget measurements and snow pit data obtained during the two winters from 2007 to 2009 at Sapporo, Hokkaido, Japan, for simulation of the broadband albedos by PBSAM and compared the results with the in situ measurements. A five‐layer snow model with one visible subband and three NIR subbands were necessary for accurate simulation. Comparison of solar heating profiles calculated by PBSAM with those calculated by the spectrally detailed RTM showed that PBSAM calculated accurate solar heating profiles when at least three subbands were used in both the visible and NIR bands.
Key Points
Broadband snow albedo model as function of snow parameters for GCM is presented
The model was validated with long‐term radiation budget and snow pit work data
Solar heating profile in snowpack can be calculated as well</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2010JD015507</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Albedo ; Atmospheric sciences ; Black carbon ; Cryosphere ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; general circulation model ; Geophysics ; Hydrology ; Ice ; In situ measurement ; optical properties of snow ; Radiation ; Radiative transfer ; radiative transfer model ; Snow ; snow grain size ; snow impurities ; Snowpack ; Solar radiation ; Transmittance</subject><ispartof>Journal of Geophysical Research, 2011-06, Vol.116 (D11), p.n/a, Article D11114</ispartof><rights>Copyright 2011 by the American Geophysical Union.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2011 by American Geophysical Union</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5111-f0ceef77a1fb1b2238818f86d37aa8a80c7602de0e2df4348fb2bab43ab411fe3</citedby><cites>FETCH-LOGICAL-c5111-f0ceef77a1fb1b2238818f86d37aa8a80c7602de0e2df4348fb2bab43ab411fe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2010JD015507$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2010JD015507$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25518852$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Aoki, Teruo</creatorcontrib><creatorcontrib>Kuchiki, Katsuyuki</creatorcontrib><creatorcontrib>Niwano, Masashi</creatorcontrib><creatorcontrib>Kodama, Yuji</creatorcontrib><creatorcontrib>Hosaka, Masahiro</creatorcontrib><creatorcontrib>Tanaka, Taichu</creatorcontrib><title>Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models</title><title>Journal of Geophysical Research</title><addtitle>J. Geophys. Res</addtitle><description>A physically based snow albedo model (PBSAM), which can be used in a general circulation model, is developed. PBSAM calculates broadband albedos and the solar heating profile in snowpack as functions of snow grain size and concentrations of snow impurities, black carbon and mineral dust, in snow with any layer structure and under any solar illumination condition. The model calculates the visible and near‐infrared (NIR) albedos by dividing each broadband spectrum into several spectral subbands to simulate the change in spectral distribution of solar radiation in the broadband spectra at the snow surface and in the snowpack. PBSAM uses (1) the look‐up table method for calculations of albedo and transmittance in spectral subbands for a homogeneous snow layer, (2) an “adding” method for calculating the effect of an inhomogeneous snow structure on albedo and transmittance, and (3) spectral weighting of radiative parameters to obtain the broadband values from the subbands. We confirmed that PBSAM can calculate the broadband albedos of single‐ and two‐layer snow models with good accuracy by comparing them with those calculated by a spectrally detailed radiative transfer model (RTM). In addition, we used radiation budget measurements and snow pit data obtained during the two winters from 2007 to 2009 at Sapporo, Hokkaido, Japan, for simulation of the broadband albedos by PBSAM and compared the results with the in situ measurements. A five‐layer snow model with one visible subband and three NIR subbands were necessary for accurate simulation. Comparison of solar heating profiles calculated by PBSAM with those calculated by the spectrally detailed RTM showed that PBSAM calculated accurate solar heating profiles when at least three subbands were used in both the visible and NIR bands.
Key Points
Broadband snow albedo model as function of snow parameters for GCM is presented
The model was validated with long‐term radiation budget and snow pit work data
Solar heating profile in snowpack can be calculated as well</description><subject>Albedo</subject><subject>Atmospheric sciences</subject><subject>Black carbon</subject><subject>Cryosphere</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>general circulation model</subject><subject>Geophysics</subject><subject>Hydrology</subject><subject>Ice</subject><subject>In situ measurement</subject><subject>optical properties of snow</subject><subject>Radiation</subject><subject>Radiative transfer</subject><subject>radiative transfer model</subject><subject>Snow</subject><subject>snow grain size</subject><subject>snow impurities</subject><subject>Snowpack</subject><subject>Solar radiation</subject><subject>Transmittance</subject><issn>0148-0227</issn><issn>2169-897X</issn><issn>2156-2202</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kc9uEzEQh1cIJKLSGw9gISFxYGHGXq-dI2ppoKogqvh3s2a9drOtsw52opKH4J1xu1GFOGDJsg_f75vRTFU9R3iDwOdvOSCcnwJKCepRNeMo25pz4I-rGWCja-BcPa2Oc76GchrZNoCz6vdytc-DpRD2rKPsepbHeMsodK6PbB17F5iPiRXC7gJth_GKdSlS39HYH7DM7v7blWM5Bkps5SZuk6IfgmPDeC_dkL25d1250SUKzA5pcsZxqpSfVU88heyOD-9R9fXs_ZeTD_XF58XHk3cXtZWIWHuwznmlCH2HHedCa9Ret71QRJo0WNUC7x043vtGNNp3vKOuEeUieieOqleTt7T4c-fy1qyHbF0INLq4ywYBkYOAORT0xT_oddylsXRn5sDbeSOkLNDrCbIp5pycN5s0rCnti8ncbcf8vZ2Cvzw4KZfB-kSjHfJDhkuJWkteODFxt2WM-_86zfni8hQVKCypekoNeet-PaQo3ZhWCSXN908Lc_ZNyMvlcmF-iD93fK54</recordid><startdate>20110610</startdate><enddate>20110610</enddate><creator>Aoki, Teruo</creator><creator>Kuchiki, Katsuyuki</creator><creator>Niwano, Masashi</creator><creator>Kodama, Yuji</creator><creator>Hosaka, Masahiro</creator><creator>Tanaka, Taichu</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</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>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M2O</scope><scope>M7S</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>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7QH</scope></search><sort><creationdate>20110610</creationdate><title>Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models</title><author>Aoki, Teruo ; Kuchiki, Katsuyuki ; Niwano, Masashi ; Kodama, Yuji ; Hosaka, Masahiro ; Tanaka, Taichu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5111-f0ceef77a1fb1b2238818f86d37aa8a80c7602de0e2df4348fb2bab43ab411fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Albedo</topic><topic>Atmospheric sciences</topic><topic>Black carbon</topic><topic>Cryosphere</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>general circulation model</topic><topic>Geophysics</topic><topic>Hydrology</topic><topic>Ice</topic><topic>In situ measurement</topic><topic>optical properties of snow</topic><topic>Radiation</topic><topic>Radiative transfer</topic><topic>radiative transfer model</topic><topic>Snow</topic><topic>snow grain size</topic><topic>snow impurities</topic><topic>Snowpack</topic><topic>Solar radiation</topic><topic>Transmittance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aoki, Teruo</creatorcontrib><creatorcontrib>Kuchiki, Katsuyuki</creatorcontrib><creatorcontrib>Niwano, Masashi</creatorcontrib><creatorcontrib>Kodama, Yuji</creatorcontrib><creatorcontrib>Hosaka, Masahiro</creatorcontrib><creatorcontrib>Tanaka, Taichu</creatorcontrib><collection>Istex</collection><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>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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</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>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 - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Research Library</collection><collection>Engineering 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Aqualine</collection><jtitle>Journal of Geophysical Research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aoki, Teruo</au><au>Kuchiki, Katsuyuki</au><au>Niwano, Masashi</au><au>Kodama, Yuji</au><au>Hosaka, Masahiro</au><au>Tanaka, Taichu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models</atitle><jtitle>Journal of Geophysical Research</jtitle><addtitle>J. Geophys. Res</addtitle><date>2011-06-10</date><risdate>2011</risdate><volume>116</volume><issue>D11</issue><epage>n/a</epage><artnum>D11114</artnum><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>A physically based snow albedo model (PBSAM), which can be used in a general circulation model, is developed. PBSAM calculates broadband albedos and the solar heating profile in snowpack as functions of snow grain size and concentrations of snow impurities, black carbon and mineral dust, in snow with any layer structure and under any solar illumination condition. The model calculates the visible and near‐infrared (NIR) albedos by dividing each broadband spectrum into several spectral subbands to simulate the change in spectral distribution of solar radiation in the broadband spectra at the snow surface and in the snowpack. PBSAM uses (1) the look‐up table method for calculations of albedo and transmittance in spectral subbands for a homogeneous snow layer, (2) an “adding” method for calculating the effect of an inhomogeneous snow structure on albedo and transmittance, and (3) spectral weighting of radiative parameters to obtain the broadband values from the subbands. We confirmed that PBSAM can calculate the broadband albedos of single‐ and two‐layer snow models with good accuracy by comparing them with those calculated by a spectrally detailed radiative transfer model (RTM). In addition, we used radiation budget measurements and snow pit data obtained during the two winters from 2007 to 2009 at Sapporo, Hokkaido, Japan, for simulation of the broadband albedos by PBSAM and compared the results with the in situ measurements. A five‐layer snow model with one visible subband and three NIR subbands were necessary for accurate simulation. Comparison of solar heating profiles calculated by PBSAM with those calculated by the spectrally detailed RTM showed that PBSAM calculated accurate solar heating profiles when at least three subbands were used in both the visible and NIR bands.
Key Points
Broadband snow albedo model as function of snow parameters for GCM is presented
The model was validated with long‐term radiation budget and snow pit work data
Solar heating profile in snowpack can be calculated as well</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2010JD015507</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0148-0227 |
ispartof | Journal of Geophysical Research, 2011-06, Vol.116 (D11), p.n/a, Article D11114 |
issn | 0148-0227 2169-897X 2156-2202 2169-8996 |
language | eng |
recordid | cdi_proquest_miscellaneous_1011203090 |
source | Wiley Free Content; Wiley-Blackwell AGU Digital Library; Wiley Online Library All Journals; Alma/SFX Local Collection |
subjects | Albedo Atmospheric sciences Black carbon Cryosphere Earth sciences Earth, ocean, space Exact sciences and technology general circulation model Geophysics Hydrology Ice In situ measurement optical properties of snow Radiation Radiative transfer radiative transfer model Snow snow grain size snow impurities Snowpack Solar radiation Transmittance |
title | Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T22%3A27%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Physically%20based%20snow%20albedo%20model%20for%20calculating%20broadband%20albedos%20and%20the%20solar%20heating%20profile%20in%20snowpack%20for%20general%20circulation%20models&rft.jtitle=Journal%20of%20Geophysical%20Research&rft.au=Aoki,%20Teruo&rft.date=2011-06-10&rft.volume=116&rft.issue=D11&rft.epage=n/a&rft.artnum=D11114&rft.issn=0148-0227&rft.eissn=2156-2202&rft_id=info:doi/10.1029/2010JD015507&rft_dat=%3Cproquest_cross%3E2506192871%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=902694355&rft_id=info:pmid/&rfr_iscdi=true |