Articles | Volume 12, issue 3
https://doi.org/10.5194/tc-12-921-2018
https://doi.org/10.5194/tc-12-921-2018
Research article
 | 
14 Mar 2018
Research article |  | 14 Mar 2018

Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models

Friedrich Richter, Matthias Drusch, Lars Kaleschke, Nina Maaß, Xiangshan Tian-Kunze, and Susanne Mecklenburg

Related authors

Lead fractions from SAR-derived sea ice divergence during MOSAiC
Luisa von Albedyll, Stefan Hendricks, Nils Hutter, Dmitrii Murashkin, Lars Kaleschke, Sascha Willmes, Linda Thielke, Xiangshan Tian-Kunze, Gunnar Spreen, and Christian Haas
The Cryosphere, 18, 1259–1285, https://doi.org/10.5194/tc-18-1259-2024,https://doi.org/10.5194/tc-18-1259-2024, 2024
Short summary
From snow accumulation to snow depth distributions by quantifying meteoric ice fractions in the Weddell Sea
Stefanie Arndt, Nina Maaß, Leonard Rossmann, and Marcel Nicolaus
EGUsphere, https://doi.org/10.5194/egusphere-2023-2398,https://doi.org/10.5194/egusphere-2023-2398, 2023
Short summary
Polar firn properties in Greenland and Antarctica and related effects on microwave brightness temperatures
Haokui Xu, Brooke Medley, Leung Tsang, Joel T. Johnson, Kenneth C. Jezek, Macro Brogioni, and Lars Kaleschke
The Cryosphere, 17, 2793–2809, https://doi.org/10.5194/tc-17-2793-2023,https://doi.org/10.5194/tc-17-2793-2023, 2023
Short summary
Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay
Marco Brogioni, Mark J. Andrews, Stefano Urbini, Kenneth C. Jezek, Joel T. Johnson, Marion Leduc-Leballeur, Giovanni Macelloni, Stephen F. Ackley, Alexandra Bringer, Ludovic Brucker, Oguz Demir, Giacomo Fontanelli, Caglar Yardim, Lars Kaleschke, Francesco Montomoli, Leung Tsang, Silvia Becagli, and Massimo Frezzotti
The Cryosphere, 17, 255–278, https://doi.org/10.5194/tc-17-255-2023,https://doi.org/10.5194/tc-17-255-2023, 2023
Short summary
A lead-width distribution for Antarctic sea ice: a case study for the Weddell Sea with high-resolution Sentinel-2 images
Marek Muchow, Amelie U. Schmitt, and Lars Kaleschke
The Cryosphere, 15, 4527–4537, https://doi.org/10.5194/tc-15-4527-2021,https://doi.org/10.5194/tc-15-4527-2021, 2021
Short summary

Related subject area

Sea Ice
Why is summertime Arctic sea ice drift speed projected to decrease?
Jamie L. Ward and Neil F. Tandon
The Cryosphere, 18, 995–1012, https://doi.org/10.5194/tc-18-995-2024,https://doi.org/10.5194/tc-18-995-2024, 2024
Short summary
Impact of atmospheric rivers on Arctic sea ice variations
Linghan Li, Forest Cannon, Matthew R. Mazloff, Aneesh C. Subramanian, Anna M. Wilson, and Fred Martin Ralph
The Cryosphere, 18, 121–137, https://doi.org/10.5194/tc-18-121-2024,https://doi.org/10.5194/tc-18-121-2024, 2024
Short summary
The impacts of anomalies in atmospheric circulations on Arctic sea ice outflow and sea ice conditions in the Barents and Greenland seas: case study in 2020
Fanyi Zhang, Ruibo Lei, Mengxi Zhai, Xiaoping Pang, and Na Li
The Cryosphere, 17, 4609–4628, https://doi.org/10.5194/tc-17-4609-2023,https://doi.org/10.5194/tc-17-4609-2023, 2023
Short summary
Atmospheric highs drive asymmetric sea ice drift during lead opening from Point Barrow
MacKenzie E. Jewell, Jennifer K. Hutchings, and Cathleen A. Geiger
The Cryosphere, 17, 3229–3250, https://doi.org/10.5194/tc-17-3229-2023,https://doi.org/10.5194/tc-17-3229-2023, 2023
Short summary
Experimental modelling of the growth of tubular ice brinicles from brine flows under sea ice
Sergio Testón-Martínez, Laura M. Barge, Jan Eichler, C. Ignacio Sainz-Díaz, and Julyan H. E. Cartwright
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-100,https://doi.org/10.5194/tc-2023-100, 2023
Revised manuscript accepted for TC
Short summary

Cited articles

Berger, M., Camps, A., Font, J., Kerr, Y., Miller, J., Johannessen, J., Boutin, J., Drinkwater, M. R., Skou, N., Floury, N., Rast, M., Rebhan, H., and Attema, E.: Measuring ocean salinity with ESA's SMOS mission – Advancing the science, Esa Bulletin-European Space Agency, 113–121, 2002.
Bouillon, S., Morales Maqueda, M. A., Legat, V., and Fichefet, T.: An elastic-viscous-plastic sea ice model formulated on Arakawa B and C grids, Ocean Modell., 27, 174–184, https://doi.org/10.1016/j.ocemod.2009.01.004, 2009.
Burke, W. J., Schmugge, T., and Paris, J. F.: Comparison of 2.8- and 21-cm microwave radiometer observations over soils with emission model calculations, J. Geophys. Res., 84, 287–294, https://doi.org/10.1029/JC084iC01p00287, 1979.
Chen, Z., Liu, J., Song, M., Yang, Q., and Xu, S.: Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System, J. Climate, 30, 8429–8446, https://doi.org/10.1175/JCLI-D-17-0093.1, 2017.
Day, J., Hawkins, E., and Tietsche, S.: Will Arctic sea ice thickness initialization improve seasonal forecast skill?, Geophys. Res. Lett., 41, 7566–7575, https://doi.org/10.1002/2014GL061694, 2014.
Download
Short summary
L-band (1.4 GHz) brightness temperatures from ESA's Soil Moisture and Ocean Salinity SMOS mission have been used to derive thin sea ice thickness. However, the brightness temperature measurements can potentially be assimilated directly in forecasting systems reducing the data latency and providing a more consistent first guess. We studied the forward (observation) operator that translates geophysical sea ice parameters from the ECMWF Ocean ReAnalysis Pilot 5 (ORAP5) into brightness temperatures.