Articles | Volume 20, issue 3
https://doi.org/10.5194/os-20-759-2024
© 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-20-759-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jun 2024
Research article |
| 11 Jun 2024
| 11 Jun 2024
Dynamical reconstruction of the upper-ocean state in the central Arctic during the winter period of the MOSAiC expedition
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Benjamin Rabe
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Alexey Androsov
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Ying-Chih Fang
Department of Oceanography, College of Marine Sciences, National Sun Yat-sen University, 80424 Kaohsiung, Taiwan
Mario Hoppmann
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Alejandra Quintanilla-Zurita
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Sven Harig
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Sandra Tippenhauer
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Kirstin Schulz
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States
Volker Mohrholz
Department of Physical Oceanography and Instrumentation, Leibniz Institute for Baltic Sea Research, Warnemünde, Germany
Ilker Fer
Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
Vera Fofonova
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Markus Janout
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
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This paper presents a new satellite-derived gridded dataset of sea surface height and geostrophic velocity, over the Arctic ice-covered and ice-free regions up to 88° N. The dataset includes velocities north of 82° N, which were not available before. We assess the dataset by comparison to one independent satellite dataset and to independent mooring data. Results show that the geostrophic velocity fields can resolve seasonal to interannual variability of boundary currents wider than about 50 km.
Johannes S. Dugstad, Pål Erik Isachsen, and Ilker Fer
Ocean Sci., 17, 651–674, https://doi.org/10.5194/os-17-651-2021, https://doi.org/10.5194/os-17-651-2021, 2021
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We quantify the mesoscale eddy field in the Lofoten Basin using Lagrangian model trajectories and aim to estimate the relative importance of eddies compared to the ambient flow in transporting warm Atlantic Water to the Lofoten Basin as well as modifying it. Water properties are largely changed in eddies compared to the ambient flow. However, only a relatively small fraction of eddies is detected in the basin. The ambient flow therefore dominates the heat transport to the Lofoten Basin.
Ruibo Lei, Mario Hoppmann, Bin Cheng, Guangyu Zuo, Dawei Gui, Qiongqiong Cai, H. Jakob Belter, and Wangxiao Yang
The Cryosphere, 15, 1321–1341, https://doi.org/10.5194/tc-15-1321-2021, https://doi.org/10.5194/tc-15-1321-2021, 2021
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Quantification of ice deformation is useful for understanding of the role of ice dynamics in climate change. Using data of 32 buoys, we characterized spatiotemporal variations in ice kinematics and deformation in the Pacific sector of Arctic Ocean for autumn–winter 2018/19. Sea ice in the south and west has stronger mobility than in the east and north, which weakens from autumn to winter. An enhanced Arctic dipole and weakened Beaufort Gyre in winter lead to an obvious turning of ice drifting.
Zoe Koenig, Eivind H. Kolås, and Ilker Fer
Ocean Sci., 17, 365–381, https://doi.org/10.5194/os-17-365-2021, https://doi.org/10.5194/os-17-365-2021, 2021
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The Arctic Ocean is a major sink for heat and salt for the global ocean. Ocean mixing contributes to this sink by mixing the Atlantic and Pacific waters with surrounding waters. We investigate the drivers of ocean mixing north of Svalbard based on observations collected during two research cruises in 2018 as part of the Nansen Legacy project. We found that wind and tidal forcing are the main drivers and that 1 % of the Atlantic Water heat loss can be attributed to vertical turbulent mixing.
Christian Katlein, Lovro Valcic, Simon Lambert-Girard, and Mario Hoppmann
The Cryosphere, 15, 183–198, https://doi.org/10.5194/tc-15-183-2021, https://doi.org/10.5194/tc-15-183-2021, 2021
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To improve autonomous investigations of sea ice optical properties, we designed a chain of multispectral light sensors, providing autonomous in-ice light measurements. Here we describe the system and the data acquired from a first prototype deployment. We show that sideward-looking planar irradiance sensors basically measure scalar irradiance and demonstrate the use of this sensor chain to derive light transmittance and inherent optical properties of sea ice.
Julienne Stroeve, Vishnu Nandan, Rosemary Willatt, Rasmus Tonboe, Stefan Hendricks, Robert Ricker, James Mead, Robbie Mallett, Marcus Huntemann, Polona Itkin, Martin Schneebeli, Daniela Krampe, Gunnar Spreen, Jeremy Wilkinson, Ilkka Matero, Mario Hoppmann, and Michel Tsamados
The Cryosphere, 14, 4405–4426, https://doi.org/10.5194/tc-14-4405-2020, https://doi.org/10.5194/tc-14-4405-2020, 2020
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This study provides a first look at the data collected by a new dual-frequency Ka- and Ku-band in situ radar over winter sea ice in the Arctic Ocean. The instrument shows potential for using both bands to retrieve snow depth over sea ice, as well as sensitivity of the measurements to changing snow and atmospheric conditions.
Jean-Louis Bonne, Hanno Meyer, Melanie Behrens, Julia Boike, Sepp Kipfstuhl, Benjamin Rabe, Toni Schmidt, Lutz Schönicke, Hans Christian Steen-Larsen, and Martin Werner
Atmos. Chem. Phys., 20, 10493–10511, https://doi.org/10.5194/acp-20-10493-2020, https://doi.org/10.5194/acp-20-10493-2020, 2020
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This study introduces 2 years of continuous near-surface in situ observations of the stable isotopic composition of water vapour in parallel with precipitation in north-eastern Siberia. We evaluate the atmospheric transport of moisture towards the region of our observations with simulations constrained by meteorological reanalyses and use this information to interpret the temporal variations of the vapour isotopic composition from seasonal to synoptic timescales.
Stefanie Arndt, Mario Hoppmann, Holger Schmithüsen, Alexander D. Fraser, and Marcel Nicolaus
The Cryosphere, 14, 2775–2793, https://doi.org/10.5194/tc-14-2775-2020, https://doi.org/10.5194/tc-14-2775-2020, 2020
H. Jakob Belter, Thomas Krumpen, Stefan Hendricks, Jens Hoelemann, Markus A. Janout, Robert Ricker, and Christian Haas
The Cryosphere, 14, 2189–2203, https://doi.org/10.5194/tc-14-2189-2020, https://doi.org/10.5194/tc-14-2189-2020, 2020
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The validation of satellite sea ice thickness (SIT) climate data records with newly acquired moored sonar SIT data shows that satellite products provide modal rather than mean SIT in the Laptev Sea region. This tendency of satellite-based SIT products to underestimate mean SIT needs to be considered for investigations of sea ice volume transports. Validation of satellite SIT in the first-year-ice-dominated Laptev Sea will support algorithm development for more reliable SIT records in the Arctic.
Thomas Krumpen, Florent Birrien, Frank Kauker, Thomas Rackow, Luisa von Albedyll, Michael Angelopoulos, H. Jakob Belter, Vladimir Bessonov, Ellen Damm, Klaus Dethloff, Jari Haapala, Christian Haas, Carolynn Harris, Stefan Hendricks, Jens Hoelemann, Mario Hoppmann, Lars Kaleschke, Michael Karcher, Nikolai Kolabutin, Ruibo Lei, Josefine Lenz, Anne Morgenstern, Marcel Nicolaus, Uwe Nixdorf, Tomash Petrovsky, Benjamin Rabe, Lasse Rabenstein, Markus Rex, Robert Ricker, Jan Rohde, Egor Shimanchuk, Suman Singha, Vasily Smolyanitsky, Vladimir Sokolov, Tim Stanton, Anna Timofeeva, Michel Tsamados, and Daniel Watkins
The Cryosphere, 14, 2173–2187, https://doi.org/10.5194/tc-14-2173-2020, https://doi.org/10.5194/tc-14-2173-2020, 2020
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In October 2019 the research vessel Polarstern was moored to an ice floe in order to travel with it on the 1-year-long MOSAiC journey through the Arctic. Here we provide historical context of the floe's evolution and initial state for upcoming studies. We show that the ice encountered on site was exceptionally thin and was formed on the shallow Siberian shelf. The analyses presented provide the initial state for the analysis and interpretation of upcoming biogeochemical and ecological studies.
Ilker Fer, Anthony Bosse, and Johannes Dugstad
Ocean Sci., 16, 685–701, https://doi.org/10.5194/os-16-685-2020, https://doi.org/10.5194/os-16-685-2020, 2020
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We analyzed 14-month-long observations from moored instruments to describe the average features and the variability of the Norwegian Atlantic Slope Current at the Lofoten Escarpment (13°E, 69°N). The slope current varies strongly with depth and in time. Pulses of strong current occur, lasting for 1 to 2 weeks, and extend as deep as 600 m. The average volume transport is 2 x 106 m3 s-1.
Erik M. Bruvik, Ilker Fer, Kjetil Våge, and Peter M. Haugan
Ocean Sci., 16, 291–305, https://doi.org/10.5194/os-16-291-2020, https://doi.org/10.5194/os-16-291-2020, 2020
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A concept of small and slow ocean gliders or profiling floats with wings is explored. These robots or drones measure the ocean temperature and currents. Even if the speed is very slow, only 13 cm s1, it is possible to navigate the (simulated) ocean using a navigation method called Eulerian roaming. The slow speed and size conserve a lot of energy and enable scientific missions of years at sea.
Vera Fofonova, Alexey Androsov, Lasse Sander, Ivan Kuznetsov, Felipe Amorim, H. Christian Hass, and Karen H. Wiltshire
Ocean Sci., 15, 1761–1782, https://doi.org/10.5194/os-15-1761-2019, https://doi.org/10.5194/os-15-1761-2019, 2019
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This study is dedicated to tidally induced dynamics in the Sylt-Rømø Bight with a focus on the non-linear component. The tidal residual circulation and asymmetric tidal cycles largely define the circulation pattern, transport and accumulation of sediment, and the distribution of bedforms. The newly obtained high-quality bathymetric data supported the use of high-resolution grids (up to 2 m in the intertidal zone) and elaboration of the details of tidal energy transformation in the domain.
Ivan Kuznetsov, Alexey Androsov, Vera Fofonova, Sergey Danilov, Natalja Rakowsky, Sven Harig, and Karen Helen Wiltshire
Ocean Sci. Discuss., https://doi.org/10.5194/os-2019-103, https://doi.org/10.5194/os-2019-103, 2019
Revised manuscript not accepted
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Coastal regions play a significant role in global processes. Numerical models are one of the major instruments in understanding ocean dynamics. The main objective of this article is to demonstrate the representativeness of the simulations with the new FESOM-C model by comparing the results with observational data for the southeastern part of the North Sea. An equally important objective is to present the application of convergence analysis of solutions for grids of different spatial resolutions.
Alexey Androsov, Vera Fofonova, Ivan Kuznetsov, Sergey Danilov, Natalja Rakowsky, Sven Harig, Holger Brix, and Karen Helen Wiltshire
Geosci. Model Dev., 12, 1009–1028, https://doi.org/10.5194/gmd-12-1009-2019, https://doi.org/10.5194/gmd-12-1009-2019, 2019
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We present a description of a coastal ocean circulation model designed to work on variable-resolution meshes made of triangular and quadrilateral cells. This hybrid mesh functionality allows for higher numerical performance and less dissipative solutions.
Eivind Kolås and Ilker Fer
Ocean Sci., 14, 1603–1618, https://doi.org/10.5194/os-14-1603-2018, https://doi.org/10.5194/os-14-1603-2018, 2018
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Measurements of ocean currents, stratification and microstructure collected northwest of Svalbard are used to characterize the evolution of the warm Atlantic current. The measured turbulent heat flux is too small to account for the observed cooling rate of the current. The estimated contribution of diffusion by eddies could be limited to one half of the observed heat loss. Mixing in the bottom boundary layer, driven by cross-slope flow of buoyant water, can be important.
Axel Behrendt, Hiroshi Sumata, Benjamin Rabe, and Ursula Schauer
Earth Syst. Sci. Data, 10, 1119–1138, https://doi.org/10.5194/essd-10-1119-2018, https://doi.org/10.5194/essd-10-1119-2018, 2018
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Oceanographic data have been collected in the Arctic Ocean over many decades. They were measured by a large variety of platforms. Most of these data are publicly available from the World Ocean Database (WOD). This important online archive, however, does not contain all available modern data and has quality problems in the upper water layers. To enable a quick access to nearly all available temperature and salinity profiles, we compiled UDASH, a complete data archive with a higher quality.
Amelie Driemel, Eberhard Fahrbach, Gerd Rohardt, Agnieszka Beszczynska-Möller, Antje Boetius, Gereon Budéus, Boris Cisewski, Ralph Engbrodt, Steffen Gauger, Walter Geibert, Patrizia Geprägs, Dieter Gerdes, Rainer Gersonde, Arnold L. Gordon, Hannes Grobe, Hartmut H. Hellmer, Enrique Isla, Stanley S. Jacobs, Markus Janout, Wilfried Jokat, Michael Klages, Gerhard Kuhn, Jens Meincke, Sven Ober, Svein Østerhus, Ray G. Peterson, Benjamin Rabe, Bert Rudels, Ursula Schauer, Michael Schröder, Stefanie Schumacher, Rainer Sieger, Jüri Sildam, Thomas Soltwedel, Elena Stangeew, Manfred Stein, Volker H Strass, Jörn Thiede, Sandra Tippenhauer, Cornelis Veth, Wilken-Jon von Appen, Marie-France Weirig, Andreas Wisotzki, Dieter A. Wolf-Gladrow, and Torsten Kanzow
Earth Syst. Sci. Data, 9, 211–220, https://doi.org/10.5194/essd-9-211-2017, https://doi.org/10.5194/essd-9-211-2017, 2017
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Our oceans are always in motion – huge water masses are circulated by winds and by global seawater density gradients resulting from different water temperatures and salinities. Measuring temperature and salinity of the world's oceans is crucial e.g. to understand our climate. Since 1983, the research icebreaker Polarstern has been the basis of numerous water profile measurements in the Arctic and the Antarctic. We report on a unique collection of 33 years of polar salinity and temperature data.
Vera Fofonova, Igor Zhilyaev, Marina Krayneva, Dina Yakshina, Nikita Tananaev, Nina Volkova, and Karen H. Wiltshire
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-254, https://doi.org/10.5194/hess-2016-254, 2016
Manuscript not accepted for further review
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This paper analyses water temperature characteristics in the basin outlet area of the Lena River during the summer season. The analysis is based on a long-term data series at several gauging stations including rare used data, however, which are important for understanding processes in the considered area. We discuss to what extent the water temperature observations near river bank represent the mean stream temperature. As an instrument statistical and deterministic modelling approaches are used.
Jenny E. Ullgren, Elin Darelius, and Ilker Fer
Ocean Sci., 12, 451–470, https://doi.org/10.5194/os-12-451-2016, https://doi.org/10.5194/os-12-451-2016, 2016
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One-year long moored measurements of currents and hydrographic properties in the overflow region of the Faroe Bank Channel have provided a more accurate observational-based estimate of the volume transport, entrainment, and eddy diffusivities associated with the overflow plume. The data set resolves the temporal variability and covers the entire lateral and vertical extent of the plume.
E. Darelius, I. Fer, T. Rasmussen, C. Guo, and K. M. H. Larsen
Ocean Sci., 11, 855–871, https://doi.org/10.5194/os-11-855-2015, https://doi.org/10.5194/os-11-855-2015, 2015
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Quasi-regular eddies are known to be generated in the outflow of dense water through the Faroe Bank Channel. One year long mooring records from the plume region show that (1) the energy associated with the eddies varies by a factor of 10 throughout the year and (2) the frequency of the eddies shifts between 3 and 6 days and is related to the strength of the outflow. Similar variability is shown by a high-resolution regional model and the observations agree with theory on baroclinic instability.
M. Fernández-Méndez, C. Katlein, B. Rabe, M. Nicolaus, I. Peeken, K. Bakker, H. Flores, and A. Boetius
Biogeosciences, 12, 3525–3549, https://doi.org/10.5194/bg-12-3525-2015, https://doi.org/10.5194/bg-12-3525-2015, 2015
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Photosynthetic production in the central Arctic Ocean is controlled by light availability below the ice, nitrate and silicate concentrations in the upper ocean, and the role of sub-ice algae that contributed up to 60% to primary production in summer 2012 during the record sea-ice minimum. As sea ice decreases, an overall change in Arctic PP would be foremost related to a change in the role of the ice algal production and nutrient availability.
I. Fer, M. Müller, and A. K. Peterson
Ocean Sci., 11, 287–304, https://doi.org/10.5194/os-11-287-2015, https://doi.org/10.5194/os-11-287-2015, 2015
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Over the Yermak Plateau northwest of Svalbard there is substantial energy conversion from barotropic to internal tides. Internal tides are trapped along the topography. An approximate local conversion-to-dissipation balance is found over
shallows and also in the deep part of the sloping flanks. Dissipation of
tidal energy can be a significant contributor to turbulent mixing and cooling of the Atlantic layer in the Arctic Ocean.
T. Vihma, R. Pirazzini, I. Fer, I. A. Renfrew, J. Sedlar, M. Tjernström, C. Lüpkes, T. Nygård, D. Notz, J. Weiss, D. Marsan, B. Cheng, G. Birnbaum, S. Gerland, D. Chechin, and J. C. Gascard
Atmos. Chem. Phys., 14, 9403–9450, https://doi.org/10.5194/acp-14-9403-2014, https://doi.org/10.5194/acp-14-9403-2014, 2014
I. A. Dmitrenko, S. A. Kirillov, N. Serra, N. V. Koldunov, V. V. Ivanov, U. Schauer, I. V. Polyakov, D. Barber, M. Janout, V. S. Lien, M. Makhotin, and Y. Aksenov
Ocean Sci., 10, 719–730, https://doi.org/10.5194/os-10-719-2014, https://doi.org/10.5194/os-10-719-2014, 2014
M. Bakhoday Paskyabi and I. Fer
Nonlin. Processes Geophys., 21, 713–733, https://doi.org/10.5194/npg-21-713-2014, https://doi.org/10.5194/npg-21-713-2014, 2014
E. Støylen and I. Fer
Nonlin. Processes Geophys., 21, 87–100, https://doi.org/10.5194/npg-21-87-2014, https://doi.org/10.5194/npg-21-87-2014, 2014
N. Rakowsky, A. Androsov, A. Fuchs, S. Harig, A. Immerz, S. Danilov, W. Hiller, and J. Schröter
Nat. Hazards Earth Syst. Sci., 13, 1629–1642, https://doi.org/10.5194/nhess-13-1629-2013, https://doi.org/10.5194/nhess-13-1629-2013, 2013
T. Krumpen, M. Janout, K. I. Hodges, R. Gerdes, F. Girard-Ardhuin, J. A. Hölemann, and S. Willmes
The Cryosphere, 7, 349–363, https://doi.org/10.5194/tc-7-349-2013, https://doi.org/10.5194/tc-7-349-2013, 2013
C. Wegner, D. Bauch, J. A. Hölemann, M. A. Janout, B. Heim, A. Novikhin, H. Kassens, and L. Timokhov
Biogeosciences, 10, 1117–1129, https://doi.org/10.5194/bg-10-1117-2013, https://doi.org/10.5194/bg-10-1117-2013, 2013
Cited articles
Androsov, A., Rubino, A., Romeiser, R., and Sein, D. V.: Open-ocean convection in the Greenland Sea: preconditioning through a mesoscale chimney and detectability in SAR imagery studied with a hierarchy of nested numerical models, Meteorol. Z., 14, 693–702, https://doi.org/10.1127/0941-2948/2005/0078, 2005. a
Androsov, A., Nerger, L., Schnur, R., Schröter, J., Albertella, A., Rummel, R., Savcenko, R., Bosch, W., Skachko, S., and Danilov, S.: On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state, J. Geodesy, 93, 141–157, https://doi.org/10.1007/s00190-018-1151-1, 2018. a
Androsov, A., Fofonova, V., Kuznetsov, I., Danilov, S., Rakowsky, N., Harig, S., Brix, H., and Wiltshire, K. H.: FESOM-C v.2: coastal dynamics on hybrid unstructured meshes, Geosci. Model Dev., 12, 1009–1028, https://doi.org/10.5194/gmd-12-1009-2019, 2019. a, b, c, d
Androsov, A., Boebel, O., Schröter, J., Danilov, S., Macrander, A., and Ivanciu, I.: Ocean Bottom Pressure Variability: Can It Be Reliably Modeled?, J. Geophys. Res.-Oceans, 125, e2019JC015469, https://doi.org/10.1029/2019JC015469, 2020. a
Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225–241, https://doi.org/10.5194/gmd-7-225-2014, 2014. a
Baumann, T., Fer, I., Bryhni, H., Peterson, A. K., Allerholt, J., Fang, Y.-C., Hoppmann, M., Karam, S., Koenig, Z., Kong, B., Mohrholz, V., Muilwijk, M., Schaffer, J., Schulz, K., Sukhikh, N., and Tippenhauer, S.: Under-ice current measurements during MOSAiC from a 75 kHz acoustic Doppler profiler, PANGAEA, https://doi.org/10.1594/PANGAEA.934792, 2021. a
Bretherton, F. P., Davis, R. E., and Fandry, C. B.: A technique for objective analysis and design of oceanographic experiments applied to MODE-73, Deep Sea Research and Oceanographic Abstracts, 23, 559–582, https://doi.org/10.1016/0011-7471(76)90001-2, 1976. a
Courtier, P., Thépaut, J.-N., and Hollingsworth, A.: A strategy for operational implementation of 4D-Var, using an incremental approach, Q. J. Roy. Meteor. Soc., 120, 1367–1387, https://doi.org/10.1002/qj.49712051912, 1994. a
Danilov, S. and Androsov, A.: Cell-vertex discretization of shallow water equations on mixed unstructured meshes, Ocean Dynam., 65, 33–47, https://doi.org/10.1007/s10236-014-0790-x, 2015. a, b
Danilov, S., Sidorenko, D., Wang, Q., and Jung, T.: The Finite-volumE Sea ice–Ocean Model (FESOM2), Geosci. Model Dev., 10, 765–789, https://doi.org/10.5194/gmd-10-765-2017, 2017. a, b
Della Penna, A. and Gaube, P.: Overview of (Sub)mesoscale Ocean Dynamics for the NAAMES Field Program, Front. Mar. Sci., 6, 384, https://doi.org/10.3389/fmars.2019.00384, 2019. a
Dmitrenko, I. A., Kirillov, S. A., Ivanov, V. V., and Woodgate, R. A.: Mesoscale Atlantic water eddy off the Laptev Sea continental slope carries the signature of upstream interaction, J. Geophys. Res.-Oceans, 113, C07005, https://doi.org/10.1029/2007JC004491, 2008. a
Fofonova, V., Androsov, A., Sander, L., Kuznetsov, I., Amorim, F., Hass, H. C., and Wiltshire, K. H.: Non-linear aspects of the tidal dynamics in the Sylt-Rømø Bight, south-eastern North Sea, Ocean Sci., 15, 1761–1782, https://doi.org/10.5194/os-15-1761-2019, 2019. a
Gula, J., Taylor, J., Shcherbina, A., and Mahadevan, A.: Chapter 8 – Submesoscale processes and mixing, in: Ocean Mixing, edited by: Meredith, M. and Naveira Garabato, A., Elsevier, ISBN 978-0-12-821512-8, 181–214, https://doi.org/10.1016/B978-0-12-821512-8.00015-3, 2022. a
Hoppmann, M., Kuznetsov, I., Fang, Y.-C., and Rabe, B.: Mesoscale observations of temperature and salinity in the Arctic Transpolar Drift: a high-resolution dataset from the MOSAiC Distributed Network, Earth Syst. Sci. Data, 14, 4901–4921, https://doi.org/10.5194/essd-14-4901-2022, 2022. a, b, c
Hordoir, R., Skagseth, Ø., Ingvaldsen, R. B., Sandø, A. B., Löptien, U., Dietze, H., Gierisch, A. M. U., Assmann, K. M., Lundesgaard, Ø., and Lind, S.: Changes in Arctic Stratification and Mixed Layer Depth Cycle: A Modeling Analysis, J. Geophys. Res.-Oceans, 127, e2021JC017270, https://doi.org/10.1029/2021JC017270, 2022. a
Krumpen, T. and Sokolov, V.: The Expedition AF122/1: Setting up the MOSAiC Distributed Network in October 2019 with Research Vessel AKADEMIK FEDOROV, techreport, Berichte zur Polar- und Meeresforschung/Reports on polar and marine research, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, https://doi.org/10.2312/BzPM_0744_2020, 2020. a
Kuznetsov, I., Androsov, A., Fofonova, V., Danilov, S., Rakowsky, N., Harig, S., and Wiltshire, K. H.: Evaluation and Application of Newly Designed Finite Volume Coastal Model FESOM-C, Effect of Variable Resolution in the Southeastern North Sea, Water, 12, 1412, https://doi.org/10.3390/w12051412, 2020. a
Kuznetsov, I., Rabe, B., Androsov, A., Fang, Y.-C., Hoppmann, M., Zurita, A. Q., Harig, S., Tippenhauer, S., Schulz, K., Mohrholz, V., Fer, I., Fofonova, V., and Janout, M.: FESOM-C, Dynamical reconstruction of the upper-ocean state in the Central Arctic, Zenodo [data set and code], https://doi.org/10.5281/zenodo.8004904, 2023. a
Li, J., Liao, W.-k., Choudhary, A., Ross, R., Thakur, R., Gropp, W., Latham, R., Siegel, A., Gallagher, B., and Zingale, M.: Parallel NetCDF: A High-Performance Scientific I/O Interface, in: Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, SC '03, 15 November 2003, New York, NY, USA, Association for Computing Machinery, New York, NY, USA, ISBN 1581136951, p. 39, https://doi.org/10.1145/1048935.1050189, 2003. a
Li, Z., Saad, Y., and Sosonkina, M.: pARMS: a parallel version of the algebraic recursive multilevel solver, Numer. Linear Algebr., 10, 485–509, https://doi.org/10.1002/nla.325, 2003. a
Llinás, L., Pickart, R. S., Mathis, J. T., and Smith, S. L.: Zooplankton inside an Arctic Ocean cold-core eddy: Probable origin and fate, Deep-Sea Res. Pt. II, 56, 1290–1304, https://doi.org/10.1016/j.dsr2.2008.10.020, 2009. a
Lyu, G., Serra, N., Zhou, M., and Stammer, D.: Arctic sea level variability from high-resolution model simulations and implications for the Arctic observing system, Ocean Sci., 18, 51–66, https://doi.org/10.5194/os-18-51-2022, 2022. a
Mahadevan, A.: The Impact of Submesoscale Physics on Primary Productivity of Plankton, Annu. Rev. Mar. Sci., 8, 161–184, https://doi.org/10.1146/annurev-marine-010814-015912, 2016. a, b
Mahadevan, A., Tandon, A., and Ferrari, R.: Rapid changes in mixed layer stratification driven by submesoscale instabilities and winds, J. Geophys. Res., 115, C03017, https://doi.org/10.1029/2008JC005203, 2010. a, b
Maneewongvatana, S. and Mount, D.: It's okay to be skinny, if your friends are fat, Center for Geometric Computing, 4th Annual Workshop on Computational Geometry, December 1999, vol. 2, 1–8, https://api.semanticscholar.org/CorpusID:6265900 (last access: 4 June 2024), 1999. a
Manucharyan, G. E. and Thompson, A. F.: Submesoscale Sea Ice-Ocean Interactions in Marginal Ice Zones, J. Geophys. Res.-Oceans, 122, 9455–9475, https://doi.org/10.1002/2017JC012895, 2017. a
Marcinko, C. L. J., Martin, A. P., and Allen, J. T.: Characterizing horizontal variability and energy spectra in the Arctic Ocean halocline, J. Geophys. Res.-Oceans, 120, 436–450, https://doi.org/10.1002/2014JC010381, 2015. a
Maslowski, W., Kinney, J. C., Marble, D. C., and Jakacki, J.: Towards Eddy-Resolving Models of the Arctic Ocean, American Geophysical Union (AGU), ISBN 9781118666432, 241–264, https://doi.org/10.1029/177GM16, 2008. a
Meneghello, G., Marshall, J., Lique, C., Isachsen, P. E., Doddridge, E., Campin, J.-M., Regan, H., and Talandier, C.: Genesis and Decay of Mesoscale Baroclinic Eddies in the Seasonally Ice-Covered Interior Arctic Ocean, J. Phys. Oceanogr., 51, 115–129, https://doi.org/10.1175/JPO-D-20-0054.1, 2021. a, b, c, d
Mensa, J. A. and Timmermans, M.-L.: Characterizing the seasonal cycle of upper-ocean flows under multi-year sea ice, Ocean Model., 113, 115–130, https://doi.org/10.1016/j.ocemod.2017.03.009, 2017. a
Mogensen, K., Alonso-Balmaseda, M., Weaver, A., Martin, M., and Vidard, A.: NEMOVAR: A variational data assimilation system for the NEMO ocean model, ECMWF newsletter, 120, 17–22, https://doi.org/10.21957/3yj3mh16iq, 2009. a
Neder, C., Fofonova, V., Androsov, A., Kuznetsov, I., Abele, D., Falk, U., Schloss, I. R., Sahade, R., and Jerosch, K.: Modelling suspended particulate matter dynamics at an Antarctic fjord impacted by glacier melt, J. Marine Syst., 231, 103734, https://doi.org/10.1016/j.jmarsys.2022.103734, 2022. a
Nerger, L., Tang, Q., and Mu, L.: Efficient ensemble data assimilation for coupled models with the Parallel Data Assimilation Framework: example of AWI-CM (AWI-CM-PDAF 1.0), Geosci. Model Dev., 13, 4305–4321, https://doi.org/10.5194/gmd-13-4305-2020, 2020. a
Nicolaus, M., Perovich, D. K., Spreen, G., Granskog, M. A., von Albedyll, L., Angelopoulos, M., Anhaus, P., Arndt, S., Belter, H. J., Bessonov, V., Birnbaum, G., Brauchle, J., Calmer, R., Cardellach, E., Cheng, B., Clemens-Sewall, D., Dadic, R., Damm, E., de Boer, G., Demir, O., Dethloff, K., Divine, D. V., Fong, A. A., Fons, S., Frey, M. M., Fuchs, N., Gabarró, C., Gerland, S., Goessling, H. F., Gradinger, R., Haapala, J., Haas, C., Hamilton, J., Hannula, H.-R., Hendricks, S., Herber, A., Heuzé, C., Hoppmann, M., Høyland, K. V., Huntemann, M., Hutchings, J. K., Hwang, B., Itkin, P., Jacobi, H.-W., Jaggi, M., Jutila, A., Kaleschke, L., Katlein, C., Kolabutin, N., Krampe, D., Kristensen, S. S., Krumpen, T., Kurtz, N., Lampert, A., Lange, B. A., Lei, R., Light, B., Linhardt, F., Liston, G. E., Loose, B., Macfarlane, A. R., Mahmud, M., Matero, I. O., Maus, S., Morgenstern, A., Naderpour, R., Nandan, V., Niubom, A., Oggier, M., Oppelt, N., Pätzold, F., Perron, C., Petrovsky, T., Pirazzini, R., Polashenski, C., Rabe, B., Raphael, I. A., Regnery, J., Rex, M., Ricker, R., Riemann-Campe, K., Rinke, A., Rohde, J., Salganik, E., Scharien, R. K., Schiller, M., Schneebeli, M., Semmling, M., Shimanchuk, E., Shupe, M. D., Smith, M. M., Smolyanitsky, V., Sokolov, V., Stanton, T., Stroeve, J., Thielke, L., Timofeeva, A., Tonboe, R. T., Tavri, A., Tsamados, M., Wagner, D. N., Watkins, D., Webster, M., and Wendisch, M.: Overview of the MOSAiC expedition: Snow and sea ice, Elem. Sci. Anth., 10, 000046, https://doi.org/10.1525/elementa.2021.000046, 2022. a
Nishino, S., Kawaguchi, Y., Fujiwara, A., Shiozaki, T., Aoyama, M., Harada, N., and Kikuchi, T.: Biogeochemical Anatomy of a Cyclonic Warm-Core Eddy in the Arctic Ocean, Geophys. Res. Lett., 45, 11284–11292, https://doi.org/10.1029/2018GL079659, 2018. a
Nixdorf, U., Dethloff, K., Rex, M., Shupe, M., Sommerfeld, A., Perovich, D. K., Nicolaus, M., Heuzé, C., Rabe, B., Loose, B., Damm, E., Gradinger, R., Fong, A., Maslowski, W., Rinke, A., Kwok, R., Spreen, G., Wendisch, M., Herber, A., Hirsekorn, M., Mohaupt, V., Frickenhaus, S., Immerz, A., Weiss-Tuider, K., König, B., Mengedoht, D., Regnery, J., Gerchow, P., Ransby, D., Krumpen, T., Morgenstern, A., Haas, C., Kanzow, T., Rack, F. R., Saitzev, V., Sokolov, V., Makarov, A., Schwarze, S., Wunderlich, T., Wurr, K., and Boetius, A.: MOSAiC Extended Acknowledgement, Zenodo, https://doi.org/10.5281/zenodo.5541624, 2021. a
Nurser, A. J. G. and Bacon, S.: The Rossby radius in the Arctic Ocean, Ocean Sci., 10, 967–975, https://doi.org/10.5194/os-10-967-2014, 2014. a
O'Brien, M. C., Melling, H., Pedersen, T. F., and Macdonald, R. W.: The role of eddies on particle flux in the Canada Basin of the Arctic Ocean, Deep-Sea Res. Pt. I, 71, 1–20, https://doi.org/10.1016/j.dsr.2012.10.004, 2013. a
Omand, M. M., D'Asaro, E. A., Lee, C. M., Perry, M. J., Briggs, N., Cetinić, I., and Mahadevan, A.: Eddy-driven subduction exports particulate organic carbon from the spring bloom, Science, 348, 222–225, https://doi.org/10.1126/science.1260062, 2015. a
Oziel, L., Schourup-Kristensen, V., Wekerle, C., and Hauck, J.: The Pan-Arctic Continental Slope as an Intensifying Conveyer Belt for Nutrients in the Central Arctic Ocean (1985–2015), Global Biogeochem. Cy., 36, e2021GB007268, https://doi.org/10.1029/2021GB007268, 2022. a
Pnyushkov, A., Polyakov, I. V., Padman, L., and Nguyen, A. T.: Structure and dynamics of mesoscale eddies over the Laptev Sea continental slope in the Arctic Ocean, Ocean Sci., 14, 1329–1347, https://doi.org/10.5194/os-14-1329-2018, 2018. a, b
Rabe, B., Heuzé, C., Regnery, J., Aksenov, Y., Allerholt, J., Athanase, M., Bai, Y., Basque, C., Bauch, D., Baumann, T. M., Chen, D., Cole, S. T., Craw, L., Davies, A., Damm, E., Dethloff, K., Divine, D. V., Doglioni, F., Ebert, F., Fang, Y.-C., Fer, I., Fong, A. A., Gradinger, R., Granskog, M. A., Graupner, R., Haas, C., He, H., He, Y., Hoppmann, M., Janout, M., Kadko, D., Kanzow, T., Karam, S., Kawaguchi, Y., Koenig, Z., Kong, B., Krishfield, R. A., Krumpen, T., Kuhlmey, D., Kuznetsov, I., Lan, M., Laukert, G., Lei, R., Li, T., Torres-Valdés, S., Lin, L., Lin, L., Liu, H., Liu, N., Loose, B., Ma, X., McKay, R., Mallet, M., Mallett, R. D. C., Maslowski, W., Mertens, C., Mohrholz, V., Muilwijk, M., Nicolaus, M., O’Brien, J. K., Perovich, D., Ren, J., Rex, M., Ribeiro, N., Rinke, A., Schaffer, J., Schuffenhauer, I., Schulz, K., Shupe, M. D., Shaw, W., Sokolov, V., Sommerfeld, A., Spreen, G., Stanton, T., Stephens, M., Su, J., Sukhikh, N., Sundfjord, A., Thomisch, K., Tippenhauer, S., Toole, J. M., Vredenborg, M., Walter, M., Wang, H., Wang, L., Wang, Y., Wendisch, M., Zhao, J., Zhou, M., and Zhu, J.: Overview of the MOSAiC expedition: Physical oceanography, Elem. Sci. Anth., 10, 00062, https://doi.org/10.1525/elementa.2021.00062, 2022. a, b, c
Rabe, B., Cox, C. J., Fang, Y.-C., Goessling, H., Granskog, M. A., Hoppmann, M., Hutchings, J. K., Kurmpen, T., Kuznetsov, I., Lei, R., Li, T., Maslowski, W., Nicolaus, M., Perovich, D., Persson, O., Regnery, J., Rigor, I., Shupe, M. D., Sokolov, V., Spreen, G., Stanton, T., Watkins, D. M., Blockley, E., Buenger, H. J., Cole, S., Fong, A., Haapala, J., Heuzé, C., Hoppe, C. J. M., Janout, M., Jutila, A., Katlein, C., Krishfield, R., Lin, L., Ludwig, V., Morgenstern, A., O'Brien, J., Quintanilla Zurita, A., Rackow, T., Riemann-Campe, K., Rohde, J., Shaw, W., Smolyanitsky, V., Solomon, A., Sperling, A., Tao, R., Toole, J., Tsamados, M., Zhu, J., and Zuo, G.: MOSAiC Distributed Network: observing the coupled Arctic system with multidisciplinary, coordinated platforms, Elem. Sci. Anth., 12, 00103, https://doi.org/10.1525/elementa.2023.00103, 2024. a
Regan, H., Lique, C., Talandier, C., and Meneghello, G.: Response of Total and Eddy Kinetic Energy to the Recent Spinup of the Beaufort Gyre, J. Phys. Oceanogr., 50, 575–594, https://doi.org/10.1175/JPO-D-19-0234.1, 2020. a
Rubino, A., Androssov, A., and Dotsenko, S.: Intrinsic dynamics and long-term evolution of a convectively generated oceanic vortex in the Greenland Sea, Geophys. Res. Lett., 34, L16607, https://doi.org/10.1029/2007GL030634, 2007. a
Rudels, B.: Arctic Ocean Circulation, in: Encyclopedia of Ocean Sciences, 2nd edn., edited by: Steele, J. H., Academic Press, Oxford, ISBN 978-0-12-374473-9, 211–225, https://doi.org/10.1016/B978-012374473-9.00601-9, 2009. a
Ruggiero, G. A., Ourmières, Y., Cosme, E., Blum, J., Auroux, D., and Verron, J.: Data assimilation experiments using diffusive back-and-forth nudging for the NEMO ocean model, Nonlin. Processes Geophys., 22, 233–248, https://doi.org/10.5194/npg-22-233-2015, 2015. a
Schulz, K., Mohrholz, V., Fer, I., Janout, M. A., Hoppmann, M., Schaffer, J., Koenig, Z., Rabe, B., Heuzé, C., Regnery, J., Allerholt, J., Fang, Y.-C., He, H., Kanzow, T., Karam, S., Kuznetsov, I., Kong, B., Liu, H., Muilwijk, M., Schuffenhauer, I., Sukhikh, N., Sundfjord, A., and Tippenhauer, S.: Turbulent microstructure profile (MSS) measurements from the MOSAiC drift, Arctic Ocean, PANGAEA, https://doi.org/10.1594/PANGAEA.939816, 2022. a, b, c, d
Scott, R. M., Pickart, R. S., Lin, P., Münchow, A., Li, M., Stockwell, D. A., and Brearley, J. A.: Three-Dimensional Structure of a Cold-Core Arctic Eddy Interacting with the Chukchi Slope Current, J. Geophys. Res.-Oceans, 124, 8375–8391, https://doi.org/10.1029/2019JC015523, 2019. a
Shepard, D.: A Two-Dimensional Interpolation Function for Irregularly-Spaced Data, in: Proceedings of the 1968 23rd ACM National Conference, ACM '68, Association for Computing Machinery, 1 January 1968, New York, NY, USA, ISBN 9781450374866, 517–524, https://doi.org/10.1145/800186.810616, 1968. a
Shupe, M., Rex, M., Dethloff, K., Damm, E., Fong, A. A., Gradinger, R., Heuzé, C., Loose, B., Makarov, A. S., Maslowski, W., Nicolaus, M., Perovich, D. K., Rabe, B., Rinke, A., Sokolov, V., and Sommerfeld, A.: Arctic Report Card 2020: The MOSAiC Expedition: A Year Drifting with the Arctic Sea Ice, NOAA Arctic Report Card 2020, https://doi.org/10.25923/9g3v-xh92, 2020. a
Tippenhauer, S., Vredenborg, M., Heuzé, C., Ulfsbo, A., Rabe, B., Allerholt, J., Balmonte, J. P., Campbell, R. G., Castellani, G., Chamberlain, E., Creamean, J., D'Angelo, A., Dietrich, U., Droste, E., Eggers, L., Fang, Y.-C., Fong, A. A., Gardner, J., Graupner, R., Grosse, J., He, H., Hildebrandt, N., Hoppe, C. J. M., Hoppmann, M., Kanzow, T., Karam, S., Koenig, Z., Kong, B., Kuhlmey, D., Kuznetsov, I., Lan, M., Liu, H., Mallet, M., Mohrholz, V., Muilwijk, M., Müller, O., Olsen, L. M., Rember, R., Ren, J., Sakinan, S., Schaffer, J., Schmidt, K., Schuffenhauer, I., Schulz, K., Shoemaker, K., Spahic, S., Sukhikh, N., Svenson, A., Torres-Valdés, S., Torstensson, A., Wischnewski, L., and Zhuang, Y.: Physical oceanography based on ship CTD during POLARSTERN cruise PS122, PANGAEA, https://doi.org/10.1594/PANGAEA.959963, 2023a. a, b
Tippenhauer, S., Vredenborg, M., Heuzé, C., Ulfsbo, A., Rabe, B., Allerholt, J., Balmonte, J. P., Campbell, R. G., Castellani, G., Chamberlain, E., Creamean, J., D'Angelo, A., Dietrich, U., Droste, E., Eggers, L., Fang, Y.-C., Fong, A. A., Gardner, J., Graupner, R., Grosse, J., He, H., Hildebrandt, N., Hoppe, C. J. M., Hoppmann, M., Kanzow, T., Karam, S., Koenig, Z., Kong, B., Kuhlmey, D., Kuznetsov, I., Lan, M., Liu, H., Mallet, M., Mohrholz, V., Muilwijk, M., Müller, O., Olsen, L. M., Rember, R., Ren, J., Sakinan, S., Schaffer, J., Schmidt, K., Schuffenhauer, I., Schulz, K., Shoemaker, K., Spahic, S., Sukhikh, N., Svenson, A., Torres-Valdés, S., Torstensson, A., Wischnewski, L., and Zhuang, Y.: Physical oceanography based on Ocean City CTD during POLARSTERN cruise PS122, PANGAEA, https://doi.org/10.1594/PANGAEA.959964, 2023b. a, b
Toole, J. M. and Krishfield, R. A.: Oceanographic Institution Ice-Tethered Profiler Program (2016). Ice-Tethered Profiler observations: Vertical profiles of temperature, salinity, oxygen, and ocean velocity from an Ice-Tethered Profiler buoy system, NOAA National Centers for Environmental Information, Dataset, Tech. rep., https://doi.org/10.7289/v5mw2f7x, 2016. a, b
Troupin, C., Barth, A., Sirjacobs, D., Ouberdous, M., Brankart, J.-M., Brasseur, P., Rixen, M., Alvera-Azcárate, A., Belounis, M., Capet, A., Lenartz, F., Toussaint, M.-E., and Beckers, J.-M.: Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (DIVA), Ocean Model., 52–53, 90–101, https://doi.org/10.1016/j.ocemod.2012.05.002, 2012. a
Wang, Q., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Scholz, P., Bashmachnikov, I. L., and Jung, T.: Eddy Kinetic Energy in the Arctic Ocean From a Global Simulation With a 1-km Arctic, Geophys. Res. Lett., 47, e2020GL088550, https://doi.org/10.1029/2020GL088550, 2020. a, b, c
Watanabe, E.: Beaufort shelf break eddies and shelf-basin exchange of Pacific summer water in the western Arctic Ocean detected by satellite and modeling analyses, J. Geophys. Res.-Oceans, 116, C08034, https://doi.org/10.1029/2010JC006259, 2011. a
Zhao, M., Timmermans, M.-L., Cole, S., Krishfield, R., Proshutinsky, A., and Toole, J.: Characterizing the eddy field in the Arctic Ocean halocline, J. Geophys. Res.-Oceans, 119, 8800–8817, https://doi.org/10.1002/2014JC010488, 2014. a, b
Zhao, M., Timmermans, M.-L., Cole, S., Krishfield, R., and Toole, J.: Evolution of the eddy field in the Arctic Ocean's Canada Basin, 2005–2015, Geophys. Res. Lett., 43, 8106–8114, https://doi.org/10.1002/2016GL069671, 2016. a
Zurita, A. Q., Rabe, B., Kanzow, T., Wekerle, C., Kuznetsov, I., Torres-Valdés, S., and Sanz, E. P.: Intrahalocline eddies in the Amundsen Basin observed in the distributed network from the MOSAiC expedition, in preparation, 2024. a
Short summary
Our research introduces a tool for dynamically mapping the Arctic Ocean using data from the MOSAiC experiment. Incorporating extensive data into a model clarifies the ocean's structure and movement. Our findings on temperature, salinity, and currents reveal how water layers mix and identify areas of intense water movement. This enhances understanding of Arctic Ocean dynamics and supports climate impact studies. Our work is vital for comprehending this key region in global climate science.
Our research introduces a tool for dynamically mapping the Arctic Ocean using data from the...
