Articles | Volume 20, issue 1
https://doi.org/10.5194/os-20-279-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-20-279-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2024
Research article |
| 28 Feb 2024
| 28 Feb 2024
Contribution of satellite sea surface salinity to the estimation of liquid freshwater content in the Beaufort Sea
Marta Umbert
CORRESPONDING AUTHOR
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Eva De Andrés
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Department of Applied Mathematics, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Maria Sánchez
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Carolina Gabarró
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Nina Hoareau
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Veronica González-Gambau
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Aina García-Espriu
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Estrella Olmedo
Barcelona Expert Center on Remote Sensing, Institut de Ciències del Mar, CSIC, 08003 Barcelona, Spain
Roshin P. Raj
Nansen Environmental and Remote Sensing Center (NERSC) and Bjerknes Center for Climate Research, 5007 Bergen, Norway
Jiping Xie
Nansen Environmental and Remote Sensing Center (NERSC) and Bjerknes Center for Climate Research, 5007 Bergen, Norway
Rafael Catany
ARGANS Ltd., Plymouth Science Park, 1 Davy Road, Plymouth, PL6 8BX, United Kingdom
Albavalor, SL, Calle Catedrático Agustín Escardino, 9, 46980 Paterna, Valencia, Spain
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Fabrice Ardhuin, Yevgueny Aksenov, Alvise Benetazzo, Laurent Bertino, Peter Brandt, Eric Caubet, Bertrand Chapron, Fabrice Collard, Sophie Cravatte, Jean-Marc Delouis, Frederic Dias, Gérald Dibarboure, Lucile Gaultier, Johnny Johannessen, Anton Korosov, Georgy Manucharyan, Dimitris Menemenlis, Melisa Menendez, Goulven Monnier, Alexis Mouche, Frédéric Nouguier, George Nurser, Pierre Rampal, Ad Reniers, Ernesto Rodriguez, Justin Stopa, Céline Tison, Clément Ubelmann, Erik van Sebille, and Jiping Xie
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Carolina Gabarro, Antonio Turiel, Pedro Elosegui, Joaquim A. Pla-Resina, and Marcos Portabella
The Cryosphere, 11, 1987–2002, https://doi.org/10.5194/tc-11-1987-2017, https://doi.org/10.5194/tc-11-1987-2017, 2017
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We present a new method to estimate sea ice concentration in the Arctic Ocean using different brightness temperature observations from the Soil Moisture Ocean Salinity (SMOS) satellite. The method employs a maximum-likelihood estimator. Observations at L-band frequencies such as those from SMOS (i.e. 1.4 GHz) are advantageous to remote sensing of sea ice because the atmosphere is virtually transparent at that frequency and little affected by physical temperature changes.
Jiping Xie, Laurent Bertino, François Counillon, Knut A. Lisæter, and Pavel Sakov
Ocean Sci., 13, 123–144, https://doi.org/10.5194/os-13-123-2017, https://doi.org/10.5194/os-13-123-2017, 2017
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The Arctic Ocean plays an important role in the global climate system, but the concerned interpretation about its changes is severely hampered by the sparseness of the observations of sea ice and ocean. The focus of this study is to provide a quantitative assessment of the performance of the TOPAZ4 reanalysis for ocean and sea ice variables in the pan-Arctic region (north of 63 °N) in order to guide the user through its skills and limitations.
Jiping Xie, François Counillon, Laurent Bertino, Xiangshan Tian-Kunze, and Lars Kaleschke
The Cryosphere, 10, 2745–2761, https://doi.org/10.5194/tc-10-2745-2016, https://doi.org/10.5194/tc-10-2745-2016, 2016
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As a potentially operational daily product, the SMOS-Ice can improve the statements of sea ice thickness and concentration. In this study, focusing on the SMOS-Ice data assimilated into the TOPAZ system, the quantitative evaluation for the impacts and the concerned comparison with the present observation system are valuable to understand the further improvement of the accuracy of operational ocean forecasting system.
D. Mignac, C. A. S. Tanajura, A. N. Santana, L. N. Lima, and J. Xie
Ocean Sci., 11, 195–213, https://doi.org/10.5194/os-11-195-2015, https://doi.org/10.5194/os-11-195-2015, 2015
A. Turiel, J. Isern-Fontanet, and M. Umbert
Nonlin. Processes Geophys., 21, 291–301, https://doi.org/10.5194/npg-21-291-2014, https://doi.org/10.5194/npg-21-291-2014, 2014
Related subject area
Approach: Remote Sensing | Properties and processes: Interactions with the atmosphere or cryosphere
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Yihao He, Xiayan Lin, Guoqing Han, Yu Liu, and Han Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2023-1734, https://doi.org/10.5194/egusphere-2023-1734, 2023
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By utilizing multi-source observational data and GLORYS12V1 reanalysis data, we investigate the different responses of two warm eddies to typhoon Kalmaegi. Both AE1 and AE2 decrease in area and surface temperature during the typhoon, but other parameter exhibit opposite behaviors in AE1 and AE2. They also have different vertical structures. These differences attributed to their different positions, resulting in downwelling pumping in AE1 and upwelling suction in AE2.
Cited articles
Armitage, T. W., Bacon, S., Ridout, A. L., Thomas, S. F., Aksenov, Y., and Wingham, D. J.: Arctic sea surface height variability and change from satellite radar altimetry and GRACE, 2003–2014, J. Geophys. Res.-Ocean., 121, 4303–4322, 2016. a
Armitage, T. W., Manucharyan, G. E., Petty, A. A., Kwok, R., and Thompson, A. F.: Enhanced eddy activity in the Beaufort Gyre in response to sea ice loss, Nat. Commun., 11, 1–8, 2020. a
Årthun, M., Asbjørnsen, H., Chafik, L., Johnson, H. L., and Våge, K.: Future strengthening of the Nordic Seas overturning circulation, Nat. Commun., 14, 2065, https://doi.org/10.1038/s41467-023-37846-6, 2023. a
De Andrés, E., Umbert, M., Olmedo, E., González-Gambau, V., Navarro, F. J., and Gabarró, C.: Sea Ice Meltwater in the Beaufort Gyre: A Comprehensive Analysis Using Sea Surface Salinity Data from SMOS, ESS Open Archive, https://doi.org/10.22541/au.170328007.74378424/v1, 2023. a
De Andrés, E., Sánchez, M. and Umbert, M.: Ocean-Science-2024, Github [code], https://github.com/martaumbert/Ocean-Science-2024, last access: 27 February 2024. a
EUMETSAT Ocean and Sea Ice Satellite Application Facility, Darmstadt, Germany: Global sea ice concentration interim climate data record 2016 onwards (v2.0, 2019), Norwegian and Danish Meteorological Institutes, 2019. a
Fournier, S., Lee, T., Tang, W., Steele, M., and Olmedo, E.: Evaluation and intercomparison of SMOS, Aquarius, and SMAP sea surface salinity products in the Arctic Ocean, Remote Sens., 11, 3043, https://doi.org/10.3390/rs11243043, 2019. a, b
Fournier, S., Lee, T., Wang, X., Armitage, T. W., Wang, O., Fukumori, I., and Kwok, R.: Sea surface salinity as a proxy for Arctic Ocean freshwater changes, J. Geophys. Res.-Ocean., 125, e2020JC016110, https://doi.org/10.1029/2020JC016110, 2020. a
Haine, T. W. N., Curry, B., Gerdes, R., Hansen, E., Karcher, M., Lee, C., Rudels, B., Spreen, G., de Steur, L., Stewart, K. D., and Woodgate, R.: Arctic freshwater export: Status, mechanisms, and prospects, Glob. Planet.Change, 125, 13–35, https://doi.org/10.1016/j.gloplacha.2014.11.013, 2015. a, b
Hall, S. B., Subrahmanyam, B., Nyadjro, E. S., and Samuelsen, A.: Surface freshwater fluxes in the Arctic and Subarctic Seas during contrasting years of high and low summer sea ice extent, Remote Sens., 13, 1570, https://doi.org/10.3390/rs13081570, 2021. a
Hall, S. B., Subrahmanyam, B., and Morison, J. H.: Intercomparison of salinity products in the Beaufort Gyre and Arctic Ocean, Remote Sens., 14, 71, https://doi.org/10.3390/rs14010071, 2022. a
Hall, S. B., Subrahmanyam, B., and Steele, M.: The Role of the Russian Shelf in Seasonal and Interannual Variability of Arctic Sea Surface Salinity and Freshwater Content, J. Geophys. Res.-Ocean., 128, e2022JC019247, https://doi.org/10.1029/2022JC019247, 2023. a, b, c
Heuzé, C., Zanowski, H., Karam, S., and Muilwijk, M.: The deep Arctic Ocean and Fram Strait in CMIP6 models, J. Clim., 36, 2551–2584, 2023. a
Holliday, N. P., Bersch, M., Berx, B., Chafik, L., Cunningham, S., Florindo-López, C., Hátún, H., Johns, W., Josey, S. A., Larsen, K. M. H., Mulet, S., Oltmanns, M., Reverdin, G., Rossby, T., Thierry, V., Valdimarsson, H., and Yashayaev, I.: Ocean circulation causes the largest freshening event for 120 years in eastern subpolar North Atlantic, Nat. Commun., 11, 585, https://doi.org/10.1038/s41467-020-14474-y, 2020. a
Kilic, L., Prigent, C., Aires, F., Boutin, J., Heygster, G., Tonboe, R. T., Roquet, H., Jimenez, C., and Donlon, C.: Expected performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an all-weather and high spatial resolution estimation of ocean and sea ice parameters, J. Geophys. Res.-Ocean., 123, 7564–7580, 2018. a
Köhl, A. and Serra, N.: Causes of decadal changes of the freshwater content in the Arctic Ocean, J. Clim., 27, 3461–3475, 2014. a
Lagerloef, G.: Satellite mission monitors ocean surface salinity, EOS, Trans. Am. Geophys. Union, 93, 233–234, https://doi.org/10.1029/2012EO250001, 2012. a
Lenton, T. M., Rockström, J., Gaffney, O., Rahmstorf, S., Richardson, K., Steffen, W., and Schellnhuber, H. J.: Climate tipping points?too risky to bet against, Nature, 575, 592–595, 2019. a
Li, W. K., McLaughlin, F. A., Lovejoy, C., and Carmack, E. C.: Smallest algae thrive as the Arctic Ocean freshens, Science, 326, 539–539, 2009. a
Martínez, J., Gabarró, C., Turiel, A., González-Gambau, V., Umbert, M., Hoareau, N., González-Haro, C., Olmedo, E., Arias, M., Catany, R., Bertino, L., Raj, R. P., Xie, J., Sabia, R., and Fernández, D.: Improved BEC SMOS Arctic Sea Surface Salinity product v3.1, Earth Syst. Sci. Data, 14, 307–323, https://doi.org/10.5194/essd-14-307-2022, 2022. a, b, c, d
McPhee, M., Proshutinsky, A., Morison, J., Steele, M., and Alkire, M.: Rapid change in freshwater content of the Arctic Ocean, Geophys. Res. Lett., 36, https://doi.org/10.1029/2009GL037525, 2009. a
Moore, G., Howell, S., Brady, M., Xu, X., and McNeil, K.: Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice, Nat. Commun., 12, 1, https://doi.org/10.1038/s41467-020-20314-w, 2021. a
Olmedo, E., Gabarró, C., González-Gambau, V., Martínez, J., Ballabrera-Poy, J., Turiel, A., Portabella, M., Fournier, S., and Lee, T.: Seven years of SMOS sea surface salinity at high latitudes: Variability in Arctic and Sub-Arctic regions, Remote Sens., 10, 1772, https://doi.org/10.3390/rs10111772, 2018. a
Proshutinsky, A., Krishfield, R., Timmermans, M.-L., Toole, J., Carmack, E., McLaughlin, F., Williams, W. J., Zimmermann, S., Itoh, M., and Shimada, K.: Beaufort Gyre freshwater reservoir: State and variability from observations, J. Geophys. Res.-Ocean., 114, 2008JC005104, https://doi.org/10.1029/2008JC005104, 2009. a, b, c, d, e, f, g, h
Proshutinsky, A., Dukhovskoy, D., Timmermans, M.-L., Krishfield, R., and Bamber, J. L.: Arctic circulation regimes, Philos. T. R. Soc. A, 373, 20140160, https://doi.org/10.1098/rsta.2014.0160, 2015. a
Proshutinsky, A., Krishfield, R., Toole, J. M., Timmermans, M. -L., Williams, W., Zimmermann, S., Yamamoto-Kawai, M., Armitage, T. W. K., Dukhovskoy, D., Golubeva, E., Manucharyan, G. E., Platov, G., Watanabe, E., Kikuchi, T., Nishino, S., Itoh, M., Kang, S. -H., Cho, K. -H., Tateyama, K., and Zhao, J.: Analysis of the Beaufort Gyre freshwater content in 2003–2018, J. Geophys. Res.-Ocean., 124, 9658–9689, https://doi.org/10.1029/2019JC015281, 2019. a, b
Rahmstorf, S.: Ocean circulation and climate during the past 120,000 years. Nature, 419, 207–214, https://doi.org/10.1038/nature01090, 2002. a
Rahmstorf, S.: Ocean circulation and climate during the past 120,000 years, Nature, 419, 207–214, 2002. a
Raj, R. P., Andersen, O. B., Johannessen, J. A., Gutknecht, B. D., Chatterjee, S., Rose, S. K., Bonaduce, A., Horwath, M., Ranndal, H., Richter, K., et al.: Arctic sea level budget assessment during the GRACE/Argo Time Period, Remote Sens., 12, 2837, https://doi.org/10.3390/rs12172837, 2020. a
Rantanen, M., Karpechko, A. Y., Lipponen, A., Nordling, K., Hyvärinen, O., Ruosteenoja, K., Vihma, T., and Laaksonen, A.: The Arctic has warmed nearly four times faster than the globe since 1979, Commun. Earth Environ., 3, 168, https://doi.org/10.1038/s43247-022-00498-3, 2022. a
Reul, N., Grodsky, S., Arias, M., Boutin, J., Catany, R., Chapron, B., d'Amico, F., Dinnat, E., Donlon, C., Fore, A., et al.: Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019), Remote Sens. Environ., 242, 111769, https://doi.org/10.1016/j.rse.2020.111769, 2020. a
Rosenblum, E., Fajber, R., Stroeve, J., Gille, S., Tremblay, L., and Carmack, E.: Surface salinity under transitioning ice cover in the Canada Basin: Climate model biases linked to vertical distribution of fresh water, Geophys. Res. Lett., 48, e2021GL094739, https://doi.org/10.1029/2021GL094739, 2021. a
Serreze, M. C., Barrett, A. P., Slater, A. G., Woodgate, R. A., Aagaard, K., Lammers, R. B., Steele, M., Moritz, R., Meredith, M., and Lee, C. M.: The large-scale freshwater cycle of the Arctic, J. Geophys. Res.-Ocean., 111, https://doi.org/10.1029/2005JC003424, 2006. a
Sgubin, G., Swingedouw, D., Drijfhout, S., Mary, Y., and Bennabi, A.: Abrupt cooling over the North Atlantic in modern climate models, Nat. Commun., 8, 14375, https://doi.org/10.1038/ncomms14375, 2017. a
Solomon, A., Heuzé, C., Rabe, B., Bacon, S., Bertino, L., Heimbach, P., Inoue, J., Iovino, D., Mottram, R., Zhang, X., Aksenov, Y., McAdam, R., Nguyen, A., Raj, R. P., and Tang, H.: Freshwater in the Arctic Ocean 2010–2019, Ocean Sci., 17, 1081–1102, https://doi.org/10.5194/os-17-1081-2021, 2021. a, b, c
Tang, W., Yueh, S., Yang, D., Fore, A., Hayashi, A., Lee, T., Fournier, S., and Holt, B.: The potential and challenges of using Soil Moisture Active Passive (SMAP) sea surface salinity to monitor Arctic Ocean freshwater changes, Remote Sens., 10, 869, https://doi.org/10.3390/rs10060869, 2018. a, b
Timmermans, M.-L. and Marshall, J.: Understanding Arctic Ocean circulation: A review of ocean dynamics in a changing climate, J. Geophys. Res.-Ocean., 125, e2018JC014378, https://doi.org/10.1029/2018JC014378, 2020. a
Timmermans, M.-L. and Toole, J. M.: The Arctic Ocean's Beaufort Gyre, Ann. Rev. Mar. Sci., 15, 223–248, 2023. a
Toole, J. M., Timmermans, M.-L., Perovich, D. K., Krishfield, R. A., Proshutinsky, A., and Richter-Menge, J. A.: Influences of the ocean surface mixed layer and thermohaline stratification on Arctic Sea ice in the central Canada Basin, J. Geophys. Res.-Ocean., 115, https://doi.org/10.1029/2009JC005660, 2010. a, b, c
Umbert, M.: Ocean Science 2024, figshare [data set], https://doi.org/10.6084/m9.figshare.c.7084813.v1, 2024. a
Umbert, M., Gabarro, C., Olmedo, E., Gonçalves-Araujo, R., Guimbard, S., and Martinez, J.: Using Remotely Sensed Sea Surface Salinity and Colored Detrital Matter to Characterize Freshened Surface Layers in the Kara and Laptev Seas during the Ice-Free Season, Remote Sens., 13, 3828, https://doi.org/10.3390/rs13193828, 2021. a
Xie, J., Bertino, L., Counillon, F., Lisæter, K. A., and Sakov, P.: Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013, Ocean Sci., 13, 123–144, https://doi.org/10.5194/os-13-123-2017, 2017. a
Xie, J., Raj, R. P., Bertino, L., Samuelsen, A., and Wakamatsu, T.: Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data, Ocean Sci., 15, 1191–1206, https://doi.org/10.5194/os-15-1191-2019, 2019. a
Xie, J., Raj, R. P., Bertino, L., Martínez, J., Gabarró, C., and Catany, R.: Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis, Ocean Sci., 19, 269–287, https://doi.org/10.5194/os-19-269-2023, 2023. a
Zhang, J., Weijer, W., Steele, M., Cheng, W., Verma, T., and Veneziani, M.: Labrador Sea freshening linked to Beaufort Gyre freshwater release, Nat. Commun., 12, 1–8, 2021. a
Short summary
Satellite retrievals of sea surface salinity (SSS) offer insights into freshwater changes in the Arctic Ocean. This study evaluates freshwater content in the Beaufort Gyre using SMOS and reanalysis data, revealing underestimation with reanalysis alone. Incorporating satellite SSS measurements improves freshwater content estimation, especially near ice-melting areas. Adding remotely sensed salinity aids in monitoring Arctic freshwater content and in understanding its impact on global climate.
Satellite retrievals of sea surface salinity (SSS) offer insights into freshwater changes in the...
