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

Lars Kaleschke, Xiangshan Tian-Kunze, Nina Maaß, Alexander Beitsch, Andreas Wernecke, Maciej Miernecki, Gerd Müller, Björn H. Fock, Andrea M. U. Gierisch, K. Heinke Schlünzen, Thomas Pohlmann, Mikhail Dobrynin, Stefan Hendricks, Jölund Asseng, Rüdiger Gerdes, Peter Jochmann, Nils Reimer, Jürgen Holfort, Christian Melsheimer, Georg HeygsterGunnar Spreen, Sebastian Gerland, Jennifer King, Niels Skou, Sten Schmidl Søbjærg, Christian Haas, Friedrich Richter, Tânia Casal

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

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.
Original languageEnglish
JournalRemote Sensing of Environment
Volume180
Pages (from-to)264–273
ISSN0034-4257
DOIs
Publication statusPublished - 2016

Keywords

  • Airborne laser scanner
  • Arctic
  • Electromagnetic induction
  • L-Band radiometry
  • Retrieval model validation
  • Sea ice
  • Sea ice forecast
  • Sea ice thickness
  • Ship routing
  • Soil moisture and ocean salinity (SMOS) mission

Cite this

Kaleschke, L., Tian-Kunze, X., Maaß, N., Beitsch, A., Wernecke, A., Miernecki, M., ... Casal, T. (2016). SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone. Remote Sensing of Environment, 180, 264–273. https://doi.org/10.1016/j.rse.2016.03.009
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. / SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone. In: Remote Sensing of Environment. 2016 ; Vol. 180. pp. 264–273.
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title = "SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone",
abstract = "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.",
keywords = "Airborne laser scanner, Arctic, Electromagnetic induction, L-Band radiometry, Retrieval model validation, Sea ice, Sea ice forecast, Sea ice thickness, Ship routing, Soil moisture and ocean salinity (SMOS) mission",
author = "Lars Kaleschke and Xiangshan Tian-Kunze and Nina Maa{\ss} and Alexander Beitsch and Andreas Wernecke and Maciej Miernecki and Gerd M{\"u}ller and Fock, {Bj{\"o}rn H.} and Gierisch, {Andrea M. U.} and Schl{\"u}nzen, {K. Heinke} and Thomas Pohlmann and Mikhail Dobrynin and Stefan Hendricks and J{\"o}lund Asseng and R{\"u}diger Gerdes and Peter Jochmann and Nils Reimer and J{\"u}rgen Holfort and Christian Melsheimer and Georg Heygster and Gunnar Spreen and Sebastian Gerland and Jennifer King and Niels Skou and S{\o}bj{\ae}rg, {Sten Schmidl} and Christian Haas and Friedrich Richter and T{\^a}nia Casal",
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Kaleschke, L, Tian-Kunze, X, Maaß, N, Beitsch, A, Wernecke, A, Miernecki, M, Müller, G, Fock, BH, Gierisch, AMU, Schlünzen, KH, Pohlmann, T, Dobrynin, M, Hendricks, S, Asseng, J, Gerdes, R, Jochmann, P, Reimer, N, Holfort, J, Melsheimer, C, Heygster, G, Spreen, G, Gerland, S, King, J, Skou, N, Søbjærg, SS, Haas, C, Richter, F & Casal, T 2016, 'SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone', Remote Sensing of Environment, vol. 180, pp. 264–273. https://doi.org/10.1016/j.rse.2016.03.009

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 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.

In: Remote Sensing of Environment, Vol. 180, 2016, p. 264–273.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone

AU - Kaleschke, Lars

AU - Tian-Kunze, Xiangshan

AU - Maaß, Nina

AU - Beitsch, Alexander

AU - Wernecke, Andreas

AU - Miernecki, Maciej

AU - Müller, Gerd

AU - Fock, Björn H.

AU - Gierisch, Andrea M. U.

AU - Schlünzen, K. Heinke

AU - Pohlmann, Thomas

AU - Dobrynin, Mikhail

AU - Hendricks, Stefan

AU - Asseng, Jölund

AU - Gerdes, Rüdiger

AU - Jochmann, Peter

AU - Reimer, Nils

AU - Holfort, Jürgen

AU - Melsheimer, Christian

AU - Heygster, Georg

AU - Spreen, Gunnar

AU - Gerland, Sebastian

AU - King, Jennifer

AU - Skou, Niels

AU - Søbjærg, Sten Schmidl

AU - Haas, Christian

AU - Richter, Friedrich

AU - Casal, Tânia

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Airborne laser scanner

KW - Arctic

KW - Electromagnetic induction

KW - L-Band radiometry

KW - Retrieval model validation

KW - Sea ice

KW - Sea ice forecast

KW - Sea ice thickness

KW - Ship routing

KW - Soil moisture and ocean salinity (SMOS) mission

U2 - 10.1016/j.rse.2016.03.009

DO - 10.1016/j.rse.2016.03.009

M3 - Journal article

VL - 180

SP - 264

EP - 273

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -