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

Brightness temperatures at 1.4 GHz (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...

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Published in:Remote Sensing of Environment
Main Authors: Kaleschke, Lars, Tian-Kunze, Xiangshan, Maaß, Nina, Beitsch, Alexander, Wernecke, Andreas, Miernecki, Maciej, Müller, Gerd, Fock, Björn D., Gierisch, Andrea M. U., Heinke Schlünzen, Katharina, Pohlmann, Thomas, Dobrynin, Mikhail, Hendricks, Stefan, Asseng, Jölung, 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 in Journal/Newspaper
Language:unknown
Published: ELSEVIER SCIENCE INC 2016
Subjects:
Online Access:https://epic.awi.de/id/eprint/41286/
http://www.sciencedirect.com/science/article/pii/S003442571630102X
https://hdl.handle.net/10013/epic.48210
id ftawi:oai:epic.awi.de:41286
record_format openpolar
spelling ftawi:oai:epic.awi.de:41286 2023-05-15T15:38:47+02:00 SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone Kaleschke, Lars Tian-Kunze, Xiangshan Maaß, Nina Beitsch, Alexander Wernecke, Andreas Miernecki, Maciej Müller, Gerd Fock, Björn D. Gierisch, Andrea M. U. Heinke Schlünzen, Katharina Pohlmann, Thomas Dobrynin, Mikhail Hendricks, Stefan Asseng, Jölung 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 2016-07 https://epic.awi.de/id/eprint/41286/ http://www.sciencedirect.com/science/article/pii/S003442571630102X https://hdl.handle.net/10013/epic.48210 unknown ELSEVIER SCIENCE INC Kaleschke, L. , Tian-Kunze, X. , Maaß, N. , Beitsch, A. , Wernecke, A. , Miernecki, M. , Müller, G. , Fock, B. D. , Gierisch, A. M. U. , Heinke Schlünzen, K. , Pohlmann, T. , Dobrynin, M. , Hendricks, S. orcid:0000-0002-1412-3146 , Asseng, J. , Gerdes, R. , Jochmann, P. , Reimer, N. , Holfort, J. , Melsheimer, C. , Heygster, G. , Spreen, G. , Gerland, S. , King, J. , Skou, N. , Søbjærg, S. S. , Haas, C. , Richter, F. and Casal, T. (2016) SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone , Remote Sensing of Environment, 180 , pp. 264-273 . doi:10.1016/j.rse.2016.03.009 <https://doi.org/10.1016/j.rse.2016.03.009> , hdl:10013/epic.48210 EPIC3Remote Sensing of Environment, ELSEVIER SCIENCE INC, 180, pp. 264-273, ISSN: 0034-4257 Article peerRev 2016 ftawi https://doi.org/10.1016/j.rse.2016.03.009 2021-12-24T15:41:43Z Brightness temperatures at 1.4 GHz (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 1.5 m which is more than the previously anticipated maximal SMOS retrieval thickness. Article in Journal/Newspaper Barents Sea Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Barents Sea Remote Sensing of Environment 180 264 273
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Brightness temperatures at 1.4 GHz (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 1.5 m which is more than the previously anticipated maximal SMOS retrieval thickness.
format Article in Journal/Newspaper
author Kaleschke, Lars
Tian-Kunze, Xiangshan
Maaß, Nina
Beitsch, Alexander
Wernecke, Andreas
Miernecki, Maciej
Müller, Gerd
Fock, Björn D.
Gierisch, Andrea M. U.
Heinke Schlünzen, Katharina
Pohlmann, Thomas
Dobrynin, Mikhail
Hendricks, Stefan
Asseng, Jölung
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
spellingShingle Kaleschke, Lars
Tian-Kunze, Xiangshan
Maaß, Nina
Beitsch, Alexander
Wernecke, Andreas
Miernecki, Maciej
Müller, Gerd
Fock, Björn D.
Gierisch, Andrea M. U.
Heinke Schlünzen, Katharina
Pohlmann, Thomas
Dobrynin, Mikhail
Hendricks, Stefan
Asseng, Jölung
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
SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
author_facet Kaleschke, Lars
Tian-Kunze, Xiangshan
Maaß, Nina
Beitsch, Alexander
Wernecke, Andreas
Miernecki, Maciej
Müller, Gerd
Fock, Björn D.
Gierisch, Andrea M. U.
Heinke Schlünzen, Katharina
Pohlmann, Thomas
Dobrynin, Mikhail
Hendricks, Stefan
Asseng, Jölung
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 Kaleschke, Lars
title SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
title_short SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
title_full SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
title_fullStr SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
title_full_unstemmed SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone
title_sort smos sea ice product: operational application and validation in the barents sea marginal ice zone
publisher ELSEVIER SCIENCE INC
publishDate 2016
url https://epic.awi.de/id/eprint/41286/
http://www.sciencedirect.com/science/article/pii/S003442571630102X
https://hdl.handle.net/10013/epic.48210
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_source EPIC3Remote Sensing of Environment, ELSEVIER SCIENCE INC, 180, pp. 264-273, ISSN: 0034-4257
op_relation Kaleschke, L. , Tian-Kunze, X. , Maaß, N. , Beitsch, A. , Wernecke, A. , Miernecki, M. , Müller, G. , Fock, B. D. , Gierisch, A. M. U. , Heinke Schlünzen, K. , Pohlmann, T. , Dobrynin, M. , Hendricks, S. orcid:0000-0002-1412-3146 , Asseng, J. , Gerdes, R. , Jochmann, P. , Reimer, N. , Holfort, J. , Melsheimer, C. , Heygster, G. , Spreen, G. , Gerland, S. , King, J. , Skou, N. , Søbjærg, S. S. , Haas, C. , Richter, F. and Casal, T. (2016) SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone , Remote Sensing of Environment, 180 , pp. 264-273 . doi:10.1016/j.rse.2016.03.009 <https://doi.org/10.1016/j.rse.2016.03.009> , hdl:10013/epic.48210
op_doi https://doi.org/10.1016/j.rse.2016.03.009
container_title Remote Sensing of Environment
container_volume 180
container_start_page 264
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