Loading…

SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone

Brightness temperatures at 1.4GHz (L-band) measured by the Soil Moisture and Ocean Salinity (SMOS) Mission have been used to derive the thickness of sea ice. The retrieval method is applicable only for relatively thin ice and not during the melting period. Hitherto, the availability of ground truth...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing of environment 2016-07, Vol.180, p.264-273
Main Authors: Kaleschke, Lars, Tian-Kunze, Xiangshan, Maaß, Nina, Beitsch, Alexander, Wernecke, Andreas, Miernecki, Maciej, Müller, Gerd, Fock, Björn H., Gierisch, Andrea M.U., Schlünzen, K. Heinke, Pohlmann, Thomas, Dobrynin, Mikhail, Hendricks, Stefan, Asseng, Jölund, Gerdes, Rüdiger, Jochmann, Peter, Reimer, Nils, Holfort, Jürgen, Melsheimer, Christian, Heygster, Georg, Spreen, Gunnar, Gerland, Sebastian, King, Jennifer, Skou, Niels, Søbjærg, Sten Schmidl, Haas, Christian, Richter, Friedrich, Casal, Tânia
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293
cites cdi_FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293
container_end_page 273
container_issue
container_start_page 264
container_title Remote sensing of environment
container_volume 180
creator Kaleschke, Lars
Tian-Kunze, Xiangshan
Maaß, Nina
Beitsch, Alexander
Wernecke, Andreas
Miernecki, Maciej
Müller, Gerd
Fock, Björn H.
Gierisch, Andrea M.U.
Schlünzen, K. Heinke
Pohlmann, Thomas
Dobrynin, Mikhail
Hendricks, Stefan
Asseng, Jölund
Gerdes, Rüdiger
Jochmann, Peter
Reimer, Nils
Holfort, Jürgen
Melsheimer, Christian
Heygster, Georg
Spreen, Gunnar
Gerland, Sebastian
King, Jennifer
Skou, Niels
Søbjærg, Sten Schmidl
Haas, Christian
Richter, Friedrich
Casal, Tânia
description Brightness temperatures at 1.4GHz (L-band) measured by the Soil Moisture and Ocean Salinity (SMOS) Mission have been used to derive the thickness of sea ice. The retrieval method is applicable only for relatively thin ice and not during the melting period. Hitherto, the availability of ground truth sea ice thickness measurements for validation of SMOS sea ice products was mainly limited to relatively thick ice. The situation has improved with an extensive field campaign in the Barents Sea during an anomalous ice edge retreat and subsequent freeze-up event in March 2014. A sea ice forecast system for ship route optimisation has been developed and was tested during this field campaign with the ice-strengthened research vessel RV Lance. The ship cruise was complemented with coordinated measurements from a helicopter and the research aircraft Polar 5. Sea ice thickness was measured using an electromagnetic induction (EM) system from the bow of RV Lance and another EM-system towed below the helicopter. Polar 5 was equipped among others with the L-band radiometer EMIRAD-2. The experiment yielded a comprehensive data set allowing the evaluation of the operational forecast and route optimisation system as well as the SMOS-derived sea ice thickness product that has been used for the initialization of the forecasts. Two different SMOS sea ice thickness products reproduce the main spatial patterns of the ground truth measurements while the main difference being an underestimation of thick deformed ice. Ice thicknesses derived from the surface elevation measured by an airborne laser scanner and from simultaneous EMIRAD-2 brightness temperatures correlate well up to 1.5m which is more than the previously anticipated maximal SMOS retrieval thickness. •SMOS L-Band brightness temperatures can be used to derive sea ice thickness.•SMOS sea ice thickness has been used for the initialization of a forecast model.•Sea ice thickness validation data has been obtained in the Barents Sea in March 2014.•For thickness up to about 1.5m airborne radiometer is correlated with independent data.•Current SMOS algorithms underestimate the mean thickness of thick deformed ice.
doi_str_mv 10.1016/j.rse.2016.03.009
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1816090988</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S003442571630102X</els_id><sourcerecordid>1816090988</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293</originalsourceid><addsrcrecordid>eNqFkM1OwzAQhC0EEqXwANx85JKwGye1Ayeo-JNAPRTOlmtvwVWaBDtFgqfHpZzhtDvSNyPNMHaKkCPg5HyVh0h5kd4cRA5Q77ERKllnIKHcZyMAUWZlUclDdhTjCgArJXHEzPxpNueRDPeWeB86t7HDBZ_1FMzgu9Y03PR94-2P4qZ1_MM03u2kb_nwRvzaBGqHyOcpZm3Cq9_atnlfXUvH7GBpmkgnv3fMXm5vnqf32ePs7mF69ZjZUoghM8JYVy6XtZMCpVpMkJxRtpZUSrEQRe3KQll0IKhAJxeuEhMJSimDiLaoxZid7XJTifcNxUGvfbTUNKalbhM1KpxADbVS_6MycVVVKEwo7lAbuhgDLXUffOr4qRH0dnm90ml5vV1eg9Bp-eS53Hko1f3wFHS0nlpLzgeyg3ad_8P9DXmtiww</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1790955281</pqid></control><display><type>article</type><title>SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone</title><source>ScienceDirect Freedom Collection</source><creator>Kaleschke, Lars ; Tian-Kunze, Xiangshan ; Maaß, Nina ; Beitsch, Alexander ; Wernecke, Andreas ; Miernecki, Maciej ; Müller, Gerd ; Fock, Björn H. ; Gierisch, Andrea M.U. ; Schlünzen, K. Heinke ; Pohlmann, Thomas ; Dobrynin, Mikhail ; Hendricks, Stefan ; Asseng, Jölund ; Gerdes, Rüdiger ; Jochmann, Peter ; Reimer, Nils ; Holfort, Jürgen ; Melsheimer, Christian ; Heygster, Georg ; Spreen, Gunnar ; Gerland, Sebastian ; King, Jennifer ; Skou, Niels ; Søbjærg, Sten Schmidl ; Haas, Christian ; Richter, Friedrich ; Casal, Tânia</creator><creatorcontrib>Kaleschke, Lars ; Tian-Kunze, Xiangshan ; Maaß, Nina ; Beitsch, Alexander ; Wernecke, Andreas ; Miernecki, Maciej ; Müller, Gerd ; Fock, Björn H. ; Gierisch, Andrea M.U. ; Schlünzen, K. Heinke ; Pohlmann, Thomas ; Dobrynin, Mikhail ; Hendricks, Stefan ; Asseng, Jölund ; Gerdes, Rüdiger ; Jochmann, Peter ; Reimer, Nils ; Holfort, Jürgen ; Melsheimer, Christian ; Heygster, Georg ; Spreen, Gunnar ; Gerland, Sebastian ; King, Jennifer ; Skou, Niels ; Søbjærg, Sten Schmidl ; Haas, Christian ; Richter, Friedrich ; Casal, Tânia</creatorcontrib><description>Brightness temperatures at 1.4GHz (L-band) measured by the Soil Moisture and Ocean Salinity (SMOS) Mission have been used to derive the thickness of sea ice. The retrieval method is applicable only for relatively thin ice and not during the melting period. Hitherto, the availability of ground truth sea ice thickness measurements for validation of SMOS sea ice products was mainly limited to relatively thick ice. The situation has improved with an extensive field campaign in the Barents Sea during an anomalous ice edge retreat and subsequent freeze-up event in March 2014. A sea ice forecast system for ship route optimisation has been developed and was tested during this field campaign with the ice-strengthened research vessel RV Lance. The ship cruise was complemented with coordinated measurements from a helicopter and the research aircraft Polar 5. Sea ice thickness was measured using an electromagnetic induction (EM) system from the bow of RV Lance and another EM-system towed below the helicopter. Polar 5 was equipped among others with the L-band radiometer EMIRAD-2. The experiment yielded a comprehensive data set allowing the evaluation of the operational forecast and route optimisation system as well as the SMOS-derived sea ice thickness product that has been used for the initialization of the forecasts. Two different SMOS sea ice thickness products reproduce the main spatial patterns of the ground truth measurements while the main difference being an underestimation of thick deformed ice. Ice thicknesses derived from the surface elevation measured by an airborne laser scanner and from simultaneous EMIRAD-2 brightness temperatures correlate well up to 1.5m which is more than the previously anticipated maximal SMOS retrieval thickness. •SMOS L-Band brightness temperatures can be used to derive sea ice thickness.•SMOS sea ice thickness has been used for the initialization of a forecast model.•Sea ice thickness validation data has been obtained in the Barents Sea in March 2014.•For thickness up to about 1.5m airborne radiometer is correlated with independent data.•Current SMOS algorithms underestimate the mean thickness of thick deformed ice.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2016.03.009</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Airborne laser scanner ; Arctic ; Barents Sea ; Brightness temperature ; Electromagnetic induction ; Ground truth ; Helicopters ; L-Band radiometry ; Lances ; Marine ; Retrieval ; Retrieval model validation ; Sea ice ; Sea ice forecast ; Sea ice thickness ; Ship routing ; Ships ; Soil moisture and ocean salinity (SMOS) mission</subject><ispartof>Remote sensing of environment, 2016-07, Vol.180, p.264-273</ispartof><rights>2016 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293</citedby><cites>FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293</cites><orcidid>0000-0001-9057-3272 ; 0000-0001-7086-3299</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Kaleschke, Lars</creatorcontrib><creatorcontrib>Tian-Kunze, Xiangshan</creatorcontrib><creatorcontrib>Maaß, Nina</creatorcontrib><creatorcontrib>Beitsch, Alexander</creatorcontrib><creatorcontrib>Wernecke, Andreas</creatorcontrib><creatorcontrib>Miernecki, Maciej</creatorcontrib><creatorcontrib>Müller, Gerd</creatorcontrib><creatorcontrib>Fock, Björn H.</creatorcontrib><creatorcontrib>Gierisch, Andrea M.U.</creatorcontrib><creatorcontrib>Schlünzen, K. Heinke</creatorcontrib><creatorcontrib>Pohlmann, Thomas</creatorcontrib><creatorcontrib>Dobrynin, Mikhail</creatorcontrib><creatorcontrib>Hendricks, Stefan</creatorcontrib><creatorcontrib>Asseng, Jölund</creatorcontrib><creatorcontrib>Gerdes, Rüdiger</creatorcontrib><creatorcontrib>Jochmann, Peter</creatorcontrib><creatorcontrib>Reimer, Nils</creatorcontrib><creatorcontrib>Holfort, Jürgen</creatorcontrib><creatorcontrib>Melsheimer, Christian</creatorcontrib><creatorcontrib>Heygster, Georg</creatorcontrib><creatorcontrib>Spreen, Gunnar</creatorcontrib><creatorcontrib>Gerland, Sebastian</creatorcontrib><creatorcontrib>King, Jennifer</creatorcontrib><creatorcontrib>Skou, Niels</creatorcontrib><creatorcontrib>Søbjærg, Sten Schmidl</creatorcontrib><creatorcontrib>Haas, Christian</creatorcontrib><creatorcontrib>Richter, Friedrich</creatorcontrib><creatorcontrib>Casal, Tânia</creatorcontrib><title>SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone</title><title>Remote sensing of environment</title><description>Brightness temperatures at 1.4GHz (L-band) measured by the Soil Moisture and Ocean Salinity (SMOS) Mission have been used to derive the thickness of sea ice. The retrieval method is applicable only for relatively thin ice and not during the melting period. Hitherto, the availability of ground truth sea ice thickness measurements for validation of SMOS sea ice products was mainly limited to relatively thick ice. The situation has improved with an extensive field campaign in the Barents Sea during an anomalous ice edge retreat and subsequent freeze-up event in March 2014. A sea ice forecast system for ship route optimisation has been developed and was tested during this field campaign with the ice-strengthened research vessel RV Lance. The ship cruise was complemented with coordinated measurements from a helicopter and the research aircraft Polar 5. Sea ice thickness was measured using an electromagnetic induction (EM) system from the bow of RV Lance and another EM-system towed below the helicopter. Polar 5 was equipped among others with the L-band radiometer EMIRAD-2. The experiment yielded a comprehensive data set allowing the evaluation of the operational forecast and route optimisation system as well as the SMOS-derived sea ice thickness product that has been used for the initialization of the forecasts. Two different SMOS sea ice thickness products reproduce the main spatial patterns of the ground truth measurements while the main difference being an underestimation of thick deformed ice. Ice thicknesses derived from the surface elevation measured by an airborne laser scanner and from simultaneous EMIRAD-2 brightness temperatures correlate well up to 1.5m which is more than the previously anticipated maximal SMOS retrieval thickness. •SMOS L-Band brightness temperatures can be used to derive sea ice thickness.•SMOS sea ice thickness has been used for the initialization of a forecast model.•Sea ice thickness validation data has been obtained in the Barents Sea in March 2014.•For thickness up to about 1.5m airborne radiometer is correlated with independent data.•Current SMOS algorithms underestimate the mean thickness of thick deformed ice.</description><subject>Airborne laser scanner</subject><subject>Arctic</subject><subject>Barents Sea</subject><subject>Brightness temperature</subject><subject>Electromagnetic induction</subject><subject>Ground truth</subject><subject>Helicopters</subject><subject>L-Band radiometry</subject><subject>Lances</subject><subject>Marine</subject><subject>Retrieval</subject><subject>Retrieval model validation</subject><subject>Sea ice</subject><subject>Sea ice forecast</subject><subject>Sea ice thickness</subject><subject>Ship routing</subject><subject>Ships</subject><subject>Soil moisture and ocean salinity (SMOS) mission</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkM1OwzAQhC0EEqXwANx85JKwGye1Ayeo-JNAPRTOlmtvwVWaBDtFgqfHpZzhtDvSNyPNMHaKkCPg5HyVh0h5kd4cRA5Q77ERKllnIKHcZyMAUWZlUclDdhTjCgArJXHEzPxpNueRDPeWeB86t7HDBZ_1FMzgu9Y03PR94-2P4qZ1_MM03u2kb_nwRvzaBGqHyOcpZm3Cq9_atnlfXUvH7GBpmkgnv3fMXm5vnqf32ePs7mF69ZjZUoghM8JYVy6XtZMCpVpMkJxRtpZUSrEQRe3KQll0IKhAJxeuEhMJSimDiLaoxZid7XJTifcNxUGvfbTUNKalbhM1KpxADbVS_6MycVVVKEwo7lAbuhgDLXUffOr4qRH0dnm90ml5vV1eg9Bp-eS53Hko1f3wFHS0nlpLzgeyg3ad_8P9DXmtiww</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Kaleschke, Lars</creator><creator>Tian-Kunze, Xiangshan</creator><creator>Maaß, Nina</creator><creator>Beitsch, Alexander</creator><creator>Wernecke, Andreas</creator><creator>Miernecki, Maciej</creator><creator>Müller, Gerd</creator><creator>Fock, Björn H.</creator><creator>Gierisch, Andrea M.U.</creator><creator>Schlünzen, K. Heinke</creator><creator>Pohlmann, Thomas</creator><creator>Dobrynin, Mikhail</creator><creator>Hendricks, Stefan</creator><creator>Asseng, Jölund</creator><creator>Gerdes, Rüdiger</creator><creator>Jochmann, Peter</creator><creator>Reimer, Nils</creator><creator>Holfort, Jürgen</creator><creator>Melsheimer, Christian</creator><creator>Heygster, Georg</creator><creator>Spreen, Gunnar</creator><creator>Gerland, Sebastian</creator><creator>King, Jennifer</creator><creator>Skou, Niels</creator><creator>Søbjærg, Sten Schmidl</creator><creator>Haas, Christian</creator><creator>Richter, Friedrich</creator><creator>Casal, Tânia</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9057-3272</orcidid><orcidid>https://orcid.org/0000-0001-7086-3299</orcidid></search><sort><creationdate>201607</creationdate><title>SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone</title><author>Kaleschke, Lars ; Tian-Kunze, Xiangshan ; Maaß, Nina ; Beitsch, Alexander ; Wernecke, Andreas ; Miernecki, Maciej ; Müller, Gerd ; Fock, Björn H. ; Gierisch, Andrea M.U. ; Schlünzen, K. Heinke ; Pohlmann, Thomas ; Dobrynin, Mikhail ; Hendricks, Stefan ; Asseng, Jölund ; Gerdes, Rüdiger ; Jochmann, Peter ; Reimer, Nils ; Holfort, Jürgen ; Melsheimer, Christian ; Heygster, Georg ; Spreen, Gunnar ; Gerland, Sebastian ; King, Jennifer ; Skou, Niels ; Søbjærg, Sten Schmidl ; Haas, Christian ; Richter, Friedrich ; Casal, Tânia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Airborne laser scanner</topic><topic>Arctic</topic><topic>Barents Sea</topic><topic>Brightness temperature</topic><topic>Electromagnetic induction</topic><topic>Ground truth</topic><topic>Helicopters</topic><topic>L-Band radiometry</topic><topic>Lances</topic><topic>Marine</topic><topic>Retrieval</topic><topic>Retrieval model validation</topic><topic>Sea ice</topic><topic>Sea ice forecast</topic><topic>Sea ice thickness</topic><topic>Ship routing</topic><topic>Ships</topic><topic>Soil moisture and ocean salinity (SMOS) mission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaleschke, Lars</creatorcontrib><creatorcontrib>Tian-Kunze, Xiangshan</creatorcontrib><creatorcontrib>Maaß, Nina</creatorcontrib><creatorcontrib>Beitsch, Alexander</creatorcontrib><creatorcontrib>Wernecke, Andreas</creatorcontrib><creatorcontrib>Miernecki, Maciej</creatorcontrib><creatorcontrib>Müller, Gerd</creatorcontrib><creatorcontrib>Fock, Björn H.</creatorcontrib><creatorcontrib>Gierisch, Andrea M.U.</creatorcontrib><creatorcontrib>Schlünzen, K. Heinke</creatorcontrib><creatorcontrib>Pohlmann, Thomas</creatorcontrib><creatorcontrib>Dobrynin, Mikhail</creatorcontrib><creatorcontrib>Hendricks, Stefan</creatorcontrib><creatorcontrib>Asseng, Jölund</creatorcontrib><creatorcontrib>Gerdes, Rüdiger</creatorcontrib><creatorcontrib>Jochmann, Peter</creatorcontrib><creatorcontrib>Reimer, Nils</creatorcontrib><creatorcontrib>Holfort, Jürgen</creatorcontrib><creatorcontrib>Melsheimer, Christian</creatorcontrib><creatorcontrib>Heygster, Georg</creatorcontrib><creatorcontrib>Spreen, Gunnar</creatorcontrib><creatorcontrib>Gerland, Sebastian</creatorcontrib><creatorcontrib>King, Jennifer</creatorcontrib><creatorcontrib>Skou, Niels</creatorcontrib><creatorcontrib>Søbjærg, Sten Schmidl</creatorcontrib><creatorcontrib>Haas, Christian</creatorcontrib><creatorcontrib>Richter, Friedrich</creatorcontrib><creatorcontrib>Casal, Tânia</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kaleschke, Lars</au><au>Tian-Kunze, Xiangshan</au><au>Maaß, Nina</au><au>Beitsch, Alexander</au><au>Wernecke, Andreas</au><au>Miernecki, Maciej</au><au>Müller, Gerd</au><au>Fock, Björn H.</au><au>Gierisch, Andrea M.U.</au><au>Schlünzen, K. Heinke</au><au>Pohlmann, Thomas</au><au>Dobrynin, Mikhail</au><au>Hendricks, Stefan</au><au>Asseng, Jölund</au><au>Gerdes, Rüdiger</au><au>Jochmann, Peter</au><au>Reimer, Nils</au><au>Holfort, Jürgen</au><au>Melsheimer, Christian</au><au>Heygster, Georg</au><au>Spreen, Gunnar</au><au>Gerland, Sebastian</au><au>King, Jennifer</au><au>Skou, Niels</au><au>Søbjærg, Sten Schmidl</au><au>Haas, Christian</au><au>Richter, Friedrich</au><au>Casal, Tânia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone</atitle><jtitle>Remote sensing of environment</jtitle><date>2016-07</date><risdate>2016</risdate><volume>180</volume><spage>264</spage><epage>273</epage><pages>264-273</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Brightness temperatures at 1.4GHz (L-band) measured by the Soil Moisture and Ocean Salinity (SMOS) Mission have been used to derive the thickness of sea ice. The retrieval method is applicable only for relatively thin ice and not during the melting period. Hitherto, the availability of ground truth sea ice thickness measurements for validation of SMOS sea ice products was mainly limited to relatively thick ice. The situation has improved with an extensive field campaign in the Barents Sea during an anomalous ice edge retreat and subsequent freeze-up event in March 2014. A sea ice forecast system for ship route optimisation has been developed and was tested during this field campaign with the ice-strengthened research vessel RV Lance. The ship cruise was complemented with coordinated measurements from a helicopter and the research aircraft Polar 5. Sea ice thickness was measured using an electromagnetic induction (EM) system from the bow of RV Lance and another EM-system towed below the helicopter. Polar 5 was equipped among others with the L-band radiometer EMIRAD-2. The experiment yielded a comprehensive data set allowing the evaluation of the operational forecast and route optimisation system as well as the SMOS-derived sea ice thickness product that has been used for the initialization of the forecasts. Two different SMOS sea ice thickness products reproduce the main spatial patterns of the ground truth measurements while the main difference being an underestimation of thick deformed ice. Ice thicknesses derived from the surface elevation measured by an airborne laser scanner and from simultaneous EMIRAD-2 brightness temperatures correlate well up to 1.5m which is more than the previously anticipated maximal SMOS retrieval thickness. •SMOS L-Band brightness temperatures can be used to derive sea ice thickness.•SMOS sea ice thickness has been used for the initialization of a forecast model.•Sea ice thickness validation data has been obtained in the Barents Sea in March 2014.•For thickness up to about 1.5m airborne radiometer is correlated with independent data.•Current SMOS algorithms underestimate the mean thickness of thick deformed ice.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2016.03.009</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9057-3272</orcidid><orcidid>https://orcid.org/0000-0001-7086-3299</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0034-4257
ispartof Remote sensing of environment, 2016-07, Vol.180, p.264-273
issn 0034-4257
1879-0704
language eng
recordid cdi_proquest_miscellaneous_1816090988
source ScienceDirect Freedom Collection
subjects Airborne laser scanner
Arctic
Barents Sea
Brightness temperature
Electromagnetic induction
Ground truth
Helicopters
L-Band radiometry
Lances
Marine
Retrieval
Retrieval model validation
Sea ice
Sea ice forecast
Sea ice thickness
Ship routing
Ships
Soil moisture and ocean salinity (SMOS) mission
title SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T21%3A06%3A10IST&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=SMOS%20sea%20ice%20product:%20Operational%20application%20and%20validation%20in%20the%20Barents%20Sea%20marginal%20ice%20zone&rft.jtitle=Remote%20sensing%20of%20environment&rft.au=Kaleschke,%20Lars&rft.date=2016-07&rft.volume=180&rft.spage=264&rft.epage=273&rft.pages=264-273&rft.issn=0034-4257&rft.eissn=1879-0704&rft_id=info:doi/10.1016/j.rse.2016.03.009&rft_dat=%3Cproquest_cross%3E1816090988%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c433t-a3acd4ff9d73178b61eda8c97e473b329d428c1d03e21d7bd53670888a111c293%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1790955281&rft_id=info:pmid/&rfr_iscdi=true