Abstract
In this paper, we investigate the seasonal and spatial variability of stratification on the Siberian shelves with a case study from the Laptev Sea based on shipboard hydrographic measurements, year-round oceanographic mooring records from 2013 to 2014 and chemical tracer-based water mass analyses. In summer 2013, weak onshore-directed winds caused spreading of riverine waters throughout much of the eastern and central shelf. In contrast, strong southerly winds in summer 2014 diverted much of the freshwater to the northeast, which resulted in 50% less river water and significantly weaker stratification on the central shelf compared with the previous year. Our year-long records additionally emphasize the regional differences in water column structure and stratification, where the northwest location was well-mixed for 6 months and the central and northeast locations remained stratified into spring due to the lower initial surface salinities of the river-influenced water. A 26 year record of ocean reanalysis highlights the region’s interannual variability of stratification and its dependence on winds and sea ice. Prior the mid-2000s, river runoff to the perennially ice-covered central Laptev Sea shelf experienced little surface forcing and river water was maintained on the shelf. The transition toward less summer sea ice after the mid-2000s increased the ROFI’s (region of freshwater influence) exposure to summer winds. This greatly enhanced the variability in mixed layer depth, resulting in several years with well-mixed water columns as opposed to the often year-round shallow mixed layers before. The extent of the Lena River plume is critical for the region since it modulates nutrient fluxes and primary production, and further controls intermediate heat storage induced by lateral density gradients, which has implications for autumnal freeze-up and the eastern Arctic sea ice volume.
- 1.
CTD surveys and moorings highlight the regional and temporal variations in water column stratification on the Laptev Sea shelf.
- 2.
Summer winds increasingly control the extent of the region of freshwater influence under decreasing sea ice.
- 3.
Further reductions in sea ice increases surface warming, heat storage, and the interannual variability in mixed layer depth.
Introduction
Coincident with the retreating summer sea ice cover in the Arctic Ocean, primary production increased by 30% between 1998 and 2012, as suggested by satellite ocean color measurements (). Longer open water seasons inarguably enhance the photosynthetic active radiation (PAR), which enhances the limiting role of nutrients in the future Arctic ecosystem. The supply of nutrients, however, apart from continental discharge, depends on vertical mixing rates and therefore is regulated by stratification on a Pan-Arctic scale (). Model projections by on the future state of the Arctic Ocean ecosystem predict only regional increases in new production such as along the continental slopes. The slope regions stand out as biological hotspots and are among the fastest changing Arctic regions (), with increasing influence of the Pacific and Atlantic water inflows, which regionally reduces sea ice and weakens stratification (, ). predictions further imply that new production, despite increasing PAR, will not significantly change in most Arctic regions, due to stratification enhanced by ice melt and surface warming. The physical processes and conditions (vertical mixing and stratification) that provide the base for these projections, however, are generally not well-represented in large-scale models as intense measurement efforts are needed to observe the seasonal and interannual variability of stratification. These are unknown from most Arctic regions, in particular from the Siberian shelves, which are among those regions changing fastest in recent decades.
The Siberian interior shelf seas [Kara, Laptev and East Siberian Seas (ESS)] are characterized by freshwater runoff from large rivers and sea ice formation and melt (). Vast regions of these shelves are covered by landfast ice with frequent polynyas along the ice edge and large sea ice production rates (). The Ob and Yenisey Rivers (Kara Sea), the Lena River (Laptev Sea) and the Kolyma River (East Siberian Sea) are the four largest Siberian Asian Rivers () and control the surface salinity distribution on these shelves (Figure 1). In particular the Ob and Yenisey estuaries and the regions surrounding the Lena Delta feature vast areas with brackish surface waters, which form a near-contiguous fresh domain along the Arctic coasts (, ). Small parts of the Siberian river water may exit the Arctic southward through the western Bering Strait, while the majority of freshwater propagates northward via the Transpolar Drift and eastward toward the Beaufort Gyre (), the freshwater storage system of the Arctic Ocean (). Although different in volume, the rivers largely share their seasonality in discharge (Figure 2). Nearly 50% of the annual (Lena and Yenisey) runoff is shed between mid-May and mid-July around the spring freshet with the peak discharge occurring in early June. After a few weeks, runoff rates decrease and level out at reduced late-summer volumes before decreasing to a low winter baseline outflow. The Kolyma River outflow is nearly absent during winter, while the Lena and Ob Rivers maintain a base flow of ∼0.5 km3 day–1. The Yenisey’s winter runoff is comparatively large with ∼0.9 km3 day–1 between November and May.
FIGURE 1
FIGURE 2
Sea ice critically controls the momentum transfer into the ocean and thus the vertical and lateral spreading of the river water. The sea ice conditions, sea ice retreat and the length of the open water period varies significantly by region. The Barents Sea is largely kept ice-free due to the prevalence of the warm Atlantic water, except for a smaller region in the northeast (Figure 3, see “Data and Methods” for figure details). In the Kara Sea, the ice retreats first near the Ob and Yenisey estuaries around the time of maximum river discharge in mid-June. The western Kara Sea becomes free of ice thereafter, with an eastward progressing sea ice edge that reaches the western Laptev Sea on average by late July. The conditions in the Laptev Sea are quite different. There, the ice first retreats in late May in the prominent polynya region north of the landfast ice edge (
FIGURE 3

(a) Mean (1992–2019) number of ice-free days (in days); (b) Mean (1992–2019) timing of sea ice retreat (in day of year).
The local sea ice melt in combination with the river runoff establishes some of the largest ROFIs (region of freshwater influence) on earth, shaping the local and regional oceanographic processes and ecosystems. The interannual variability in river runoff and in the timing of the spring freshet is comparatively small, whereas there is considerable variability of the ROFI extent on the middle and outer shelves, dependent on the atmospheric summer conditions (
Data and Methods
Ship-Board Hydrographic Surveys
Two expeditions to the Laptev Sea were carried out aboard the RV Viktor Buinitskiy. Transdrift 21 (Archangelsk to Tiksi, September 2013) and Transdrift 22 (Archangelsk to Archangelsk, September 2014) were both operated as part of the Russian-German “Laptev Sea System” partnership (Figure 4). Hydrographic measurements were obtained using a Seabird SBE19plusV2 Conductivity-Temperature-Depth (CTD)-recorder mounted on a water sampling carousel. The Seacat samples with 4 Hz and provides initial accuracies for temperature and conductivity of 0.005°C and 0.0005 S m–1, respectively. Additional CTD measurements were obtained using an Ocean Science Underway (U)CTD System. The UCTD samples with 16 Hz and allows the collection of hydrographic profiles while the ship is transitioning, and was used to collect hydrographic data at high spatial resolution. The UCTD sensors are manufactured by Seabird and record conductivity, temperature and pressure at accuracies better than 0.004°C and 0.002–0.005 S m–1. Arctic Ocean sea surface salinity (Figure 1) is based on data obtained from the World Ocean Database 2018, which is a collection of quality-controlled ocean profiles (
FIGURE 4

2013 (red) and 2014 (blue) cruise tracks. Green stars indicate mooring locations.
Mooring-Based Measurements
Three oceanographic moorings used in this study were operated for 1 year between Septembers 2013 and 2014 on the central (76°N, 126°E, 45 m depth), northwestern (77.5°N, 116°E, 60 m depth) and northeastern (77.75°N, 131°E, 70 m depth) shelves, respectively. The official identifications for the three moorings were “Taymyr,” “1893,” and “Kotelnyy” (
TABLE 1
| Mooring | Northwest | Central | Northeast |
| Position | 77°15′ N/115°59′ E | 76°00′ N/125°59′ E | 77°30′ N/130°59′ E |
| Deployed | September 9, 2013 | September 15, 2013 | September 14, 2013 |
| Water depth | 60 m | 45 m | 67 m |
| Mooring length | 37 m | 29 m | 47 m |
| MicroCAT CTD SBE 37 | |||
| Instrument depth (m) | 26, 31, 38, 45, 54 | 22, 29, 33, 39, 44 | 23, 41, 64 |
| Sampling frequency | 30 min | 30 min | 30 min |
| Initial accuracy | Conductivity ± 0.0003 S/m, Temperature ± 0.002°C | ||
| RDI workhorse ADCP: | |||
| Instrument depth, frequency, beam orientation, bin size | 46 m, 300 kHz, up, bin size 1 m | 40 m, 300 kHz, up, bin size 1 m | 46 m, 300 kHz, up, bin size 2 m |
| Sampling frequency | 60 min | 60 min | 60 min |
Mooring location and information.
Earlier studies of the semidiurnal velocity structure on this shelf showed a close link between semidiurnal currents and stratification (
Sea Ice, Atmosphere, and River Runoff
Timing of sea ice retreat and length of the ice-free season was calculated based on ice concentration information provided by CERSAT (Centre ERS d’Archivage et de Traitement), which is a part of the French Research Institute for Exploitation of the Sea (IFREMER). The CERSAT product makes use of the 85GHz SSM/I brightness temperatures by means of the ARTIST Sea Ice (ASI) algorithm and is available on a 12.5 × 12.5km grid (
Mercator Ocean Reanalysis
The GLORYS12V1 product (in the following referred to as Mercator) is the Copernicus Marine Environment Monitoring Service (CMEMS) global ocean eddy-resolving (1/12° horizontal resolution and 50 vertical levels) reanalysis covering the altimetry era 1993–2018. The model component is the NEMO platform forced at the surface by ECMWF ERA-Interim reanalysis. Mercator includes daily and monthly mean fields of temperature, salinity, currents, sea level, mixed layer depth and ice parameters from the sea surface to the bottom (
Results
Case Study Lena River ROFI: Freshwater Distribution in 2013 and 2014
Both surveys were carried out during September when the Arctic sea ice is at its minimum, and neither survey encountered any sea ice in the Laptev Sea. The two summers were impacted by contrasting wind situations. The average (July–September) sea level pressure (SLP) distribution showed high pressure over the region in 2013, resulting in weak on-shore and westward-directed winds over the central Laptev shelf. In contrast, the 2014 summer was influenced by extensive low SLP centered over the Taymyr Peninsula (Figure 4), which led to some of the strongest southerly summer winds in the (1948–2019) ERA-I record (Figure 5). These contrasting prevailing pressure patterns resulted in notable differences in the shelf hydrography, especially in the surface salinity (0–10 m average, Figure 6). Minimum surface salinities were as low as 6 on the eastern Laptev Sea shelf in 2013, and salinities of 20 extended across much of the central shelf, with higher surface salinities only observed on the western shelf and near the shelf break in the northern Laptev Sea. In 2014, minimum surface salinities were ∼20 and limited to a small region in the east, while the rest of the shelf was much more saline and strongly contrasted with the conditions observed in the previous year. The water column structure sampled prior to deploying and recovering the moorings largely reflects the freshwater distribution (Figure 7). The northwest was outside of the Lena River influence in 2013, and surface salinities were high (32) with a mixed layer depth of >20 m. In 2014, Kara Sea freshwater impacted the region and mixed layers were shallower and surface salinities lower (<30). In contrast to the northwest, the central and northeast shelves featured shallow (∼10 m) mixed layers in both years, although lower salinities in 2013 in both regions. Upper layer temperatures were higher throughout the shelf in 2013, although this might be in part due to the 2 week later sampling period in 2014 under sub-zero air temperatures.
FIGURE 5

Mean (1948–2019) zonal (top) and meridional (bottom) August and September winds (ms–1) from ERA-I. Red and blue bars highlight 2013 and 2014, respectively. The corresponding sea level pressure (mbar) patterns for 2013 and 2014 are shown in the lower panels.
FIGURE 6

Sea surface (0–10 m) salinity from the underway CTD surveys in 2013 (left) and 2014 (right). The black stars indicate the mooring locations.
FIGURE 7

Salinity (top) and potential temperature (bottom) profiles from deployment in 2013 (thick lines) and recovery in 2014 (thin lines) of the three moorings.
Seasonal Cycles and Regional Contrasts in Stratification
The freshwater content observed in the upper layers of the different sub-regions may also explain the temporal difference in stratification that became apparent in the moorings (Figures 8–10). The year-long records of the finely-resolved lower water column in concert with the vertical structure of semidiurnal (tides and inertial) currents, which strongly depend on stratification (
FIGURE 8

Northwest Laptev Sea shelf mooring record of (a) semidiurnal currents (cm s–1) overlain by sea ice cover at the top of the panel; (b) salinity and (c) temperature from SBE37 microcats moored in different depths indicated by colored text in the panel; (d) salinity and (e) temperature (°C) vs. depth (m) from Mercator from Septembers 2013 to 2014.
FIGURE 9

Same as Figure 8 but for the Central – mooring.
FIGURE 10

Same as Figure 8 but for the Northeast – mooring.
Mercator provides interesting additions to the mooring records. Since a direct comparison between measured and reanalyzed salinities may not be favorable considering the overall data sparseness in this region, we are limited to a rough comparison between the Mercator salinity (hence density) structure and the structure of semidiurnal currents at all three shelf locations. The regional contrast between the Northwest and Central locations is nicely reflected by Mercator. In particular the water column structures at the Central-mooring looks remarkably similar, except for a pocket of slightly fresher water that remains present under the ice, which is above the CTD instrument depths but also not visible in the current structure (Figure 9). Sea surface temperature and sea ice concentration are assimilated in Mercator, and we hence assume a realistic onset of stratification induced by the seasonal sea ice retreat. Considering that the relevant forcing parameters for the variability of oceanographic parameters in these shelf regions are sea ice and summer winds, we find that Mercator is a valuable tool to study trends and variability of ocean parameters under changing environmental drivers.
A Long-Term (1993–2019) Perspective on Sea Ice, Winds, and Hydrography
We explore the 26 year-long Mercator ocean reanalysis record to investigate the interannual variability of water column structure on the Laptev Sea shelf. Sea ice and winds are the two primary parameters impacting hydrographic properties and water column structure. While sea ice insulates the water column from solar radiation and wind mixing, it also regulates salinity through melting and freezing. As is widely known, winds during summer determine the distribution of the large river plumes and therefore regulate stratification. Viewing the central Laptev Sea shelf in a 26 year-long context highlights general trends in ocean properties as well as specific anomalies in concert with anomalous sea ice and wind conditions. The Laptev Sea shelf transitioned from a nearly year-round ice cover in most (but not all) years in the 1990’s and early 2000’s to a seasonally ice-free shelf (Figure 11). Consequences of ice-free summers on the thermal environment are immediately apparent in high upper ocean temperatures (mean 0–10 m) exceeding 5°C in several recent years (2011–2014, 2018), in contrast to sub-zero degree ocean temperatures in ice-dominated summers (1993, 1996, 2001, 2004). Besides variability in sea ice, offshore and onshore-directed winds (removing or maintaining freshwater on the shelf) are directly reflected in the winter mixed layer depths (Figure 11). For instance, the strong stratification and presence of the Lena River water on the shelf maintained stratification and shallow mixed layers throughout the winter season 2013/2014. The contrasting winds in summer 2014 removed freshwater from the shelf and allowed for deeper mixing in the following winter 2014/2015 (Figure 11). While these effects can be seen for individual pairs of years with opposing summer winds, we can also identify a general shift toward deeper mixed layers after the mid-2000’s. The first half of the record remains largely year-round stratified (with exceptions in 1995/1996), while the second half features several years with weak stratification. This is directly related to extended open water seasons, which now increases the ability of winds to redistribute the river plume. The dispersion of the river plume under an ice cover follows ocean dynamics constrained by bathymetry, background flow and under-ice topography (
FIGURE 11

1993–2019 Mercator record of winds, sea ice and hydrographic parameters. (a) U (black) and V (green) monthly mean July, August, and September ERA-I winds at 73.3°N, 127.5°E; (b) Yearly anomalies of days when sea ice was present in concentrations of >70% on the central Laptev Sea shelf (blue bars) and on the northwestern Laptev Sea shelf (red bars); (c) daily mean upper layer (0–10 m) temperature (°C); (d) maximum Brunt-Vaisala-frequency N2 (s– 2); (e) mean (surface-to-bottom) salinity; (f) mixed layer depth (m). Note thin lines in (d–f) show daily values, while the thick lines are smooth using a 3 month running mean filter.
Discussion
The low-salinity water largely outlines the extent of the Lena River freshwater plume, as confirmed by a water component analysis based on combined dissolved radiogenic neodymium and stable oxygen isotope data obtained for the summers of 2013 and 2014 (
FIGURE 12

Total river water fraction (in %) (color-coded dots) and contributions (in %) of individual rivers (numbers: first and second number quantify Lena and Ob/Yenisey contributions, respectively) based on a water mass assessment previously reported by
The water column structure and seasonal and interannual variability of stratification is a key regulator for the ecosystem’s physical and biogeochemical processes. In summer, the surface mixed layer (SML) in the Laptev and Kara Sea ROFIs shows generally low concentrations of dissolved inorganic nitrate and phosphate and thus only low to intermediate chlorophyll concentrations (
The general surface circulation in the Laptev Sea is characterized by a cyclonic (eastward) flow pattern (
FIGURE 13

Example from intermediate temperature maximum observed during a survey in October 1995. The map shows the surface salinity distribution and location of two CTD profiles, shown in the respective colors in the lower panels (left: salinity; right: temperature).
FIGURE 14

Same as Figure 13 but from a survey in September 1999.
With the overall increase in light availability under retreating Arctic sea ice, nutrients will become a more limiting factor for future primary production. Nutrient budgets depend on utilization and cycling and most importantly on the supply through lateral and vertical fluxes. These are controlled by stratification in most regions (
Summary
We investigated the seasonal and interannual variability of stratification on the Laptev Sea shelf as a major Siberian ROFI (Figure 1). Detailed hydrographic surveys were carried out in 2013 and 2014 (Figures 6, 7) under contrasting summer winds (Figure 5), which led to clear contrasts in the freshwater distribution. Neodymium and stable oxygen isotope measurements helped to quantify freshwater contributions from individual rivers. The surveys were bridged by oceanographic moorings in three different shelf locations and highlight the transition period from a stratified to a well-mixed water column (Figures 8–10). The central shelf is generally influenced by the ROFI and remained stratified year-round except for a short 2 month period before the seasonal sea ice retreat in spring (Figure 9). In contrast, a northwestern shelf location outside of the ROFI becomes well-mixed by mid-December until sea ice break-up and therefore highlights the ROFI as a prime regulator for stratification (Figure 8). A 26 year-long record of reanalyzed Mercator ocean parameters was used to fill the upper ocean gap in the mooring measurements, as well as to investigate oceanographic properties under variable winds and changing sea ice conditions (Figure 11). The reanalysis highlights the shift from an often year-round ice-covered shelf before the mid-2000s to one that is largely ice-free in summer since then. The most obvious changes are reflected in increasing upper-ocean temperatures, which directly correspond to increasing solar input during the extended open water season. Less intuitive consequences include the enhanced variability in water column stratification. A near-permanent ice cover largely decouples the ocean from the atmosphere, and under-ice discharge of river water follows dynamic constraints bounded by bathymetry and background flow. Removing the summer ice cover puts the freshwater at the fate of surface winds, which then controls the freshwater distribution and hence the strength and persistence of water column stratification. The transition in the sea ice regime also marked a transition from predominantly year-round stratified conditions toward enhanced mixed layer depth variability and often well-mixed water columns after the mid-2000s (Figure 11).
Statements
Data availability statement
The datasets generated for this study are available on request to the corresponding author. The time series and shipboard data used in this paper can be downloaded from the Pangaea website at: https://doi.org/10.1594/PANGAEA.908837; https://doi.org/10.1594/PANGAEA.907934; and https://doi.org/10.1594/PANGAEA.907936.
Author contributions
MJ was responsible for organizing, data analysis, and writing the manuscript. JH, DB, and GL contributed with discussions and data collection at sea. AS prepared and analyzed the ocean reanalysis records. LT contributed with discussions and data records. All authors contributed to the article and approved the submitted version.
Funding
Financial support for the Laptev Sea System project was provided by the German Federal Ministry of Education and Research (Grants BMBF 03F0776 and 03G0833) and the Ministry of Science and Higher Education of the Russian Federation (project RFMEFI61619X0108) to AS and LT.
Acknowledgments
We greatly acknowledge the captain and crew of the R/V Viktor Buinitskiy for safe and successful expeditions, Heidi Kassens for coordinating the German-Russian partnership, and Matthias Monsees for mooring work at sea. This paper was further developed during the 4th Pan-Arctic Symposium in October 2017 in Motovun, Croatia, and we greatly appreciate the enthusiasm and motivation of Paul Wassmann to organize this workshop. We greatly appreciate the review comments and constructive criticism from Lee Cooper and Igor Semiletov, and we thank Paul Wassmann for editing this paper.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
References
1
AndersonL. G.BjörkG.HolbyO.JutterströmS.MörthC. M.O’ReganM.et al (2017). Shelf–basin interaction along the East Siberian Sea.Ocean Sci.13349–363. 10.5194/os-13-349-2017
2
ArrigoK. R.van DijkenG. L. (2015). Continued increases in Arctic Ocean primary production.Prog. Oceanogr. Synth. Arctic Res.13660–70. 10.1016/j.pocean.2015.05.002
3
BareissJ.GörgenK. (2005). Spatial and temporal variability of sea ice in the Laptev Sea: analyses and review of satellite passive-microwave data and model results, 1979 to 2002.Glob. Planet. Change Arctic Siber. Shelf Environ.4828–54. 10.1016/j.gloplacha.2004.12.004
4
BauchD.CherniavskaiaE. (2018). Water mass classification on a highly variable arctic shelf region: origin of laptev sea water masses and implications for the nutrient budget.J. Geophys. Res. Oceans1231896–1906. 10.1002/2017JC013524
5
BauchD.DmitrenkoI. A.WegnerC.HölemannJ.KirillovS. A.TimokhovL. A.et al (2009). Exchange of Laptev Sea and Arctic Ocean halocline waters in response to atmospheric forcing.J. Geophys. Res.114:C05008. 10.1029/2008JC005062
6
BauchD.HölemannJ. A.NikulinaA.WegnerC.JanoutM. A.TimokhovL. A.et al (2013). Correlation of river water and local sea-ice melting on the Laptev Sea shelf (Siberian Arctic).J. Geophys. Res.118550–561. 10.1002/jgrc.20076
7
BelterH. J.KrumpenT.HendricksS.HölemannJ. A.JanoutM. A.RickerR.et al (2020). Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: Comparison to mooring observations.Sea Ice/Sea Ice [preprint]. 10.5194/tc-2019-307
8
BluhmB. A.JanoutM. A.DanielsonS.EllingsenI.GavriloM.GrebmeierJ. M.et al (2020). The pan-Arctic continental slope: a narrow band of strong physical gradients affecting pelagic and benthic ecosystems.Front. Mar. Sci.
9
BoyerT. P.BaranovaO. K.ColemanC.GarciaH. E.GrodskyS. A.LocarniniR. A.et al (2019). “World ocean database 2018,” in NOAA Atlas NESDIS 87, ed.MishonovA. V. (Maryland: Silver Spring).
10
CarmackE.WinsorP.WilliamsW. (2015). The contiguous panarctic riverine coastal domain: a unifying concept.Prog. Oceanogr.13913–23. 10.1016/j.pocean.2015.07.014
11
CarmackE. C.MacdonaldR. W.JasperS. (2004). Phytoplankton productivity on the Canadian shelf of the Beaufort Sea.Mar. Ecol. Prog. Ser.27737–50. 10.3354/meps277037
12
CarmackE. C.Yamamoto-KawaiM.HaineT. W. N.BaconS.BluhmB. A.LiqueC.et al (2016). Freshwater and its role in the arctic marine system: sources, disposition, storage, export, and physical and biogeochemical consequences in the Arctic and global oceans.J. Geophys. Res. Biogeosci.121675–717. 10.1002/2015JG003140
13
ChurunV. N.TimokhovL. A. (1995). Cold bottom water in the southern Laptev Sea.-Rep. Polar Res.176107–113.
14
DeeD. P.UppalaS. M.SimmonsA. J.BerrisfordP.PoliP.KobayashiS.et al (2011). The ERA-Interim reanalysis: configuration and performance of the data assimilation system.Q. J. R. Meteorol. Soc.137553–597. 10.1002/qj.828
15
DemidovA. B.GagarinV. I.VorobievaO. V.MakkaveevP. N.ArtemievV. A.KhrapkoA. N.et al (2018). Spatial and vertical variability of primary production in the Kara Sea in July and August 2016: the influence of the river plume and subsurface chlorophyll maxima.Polar Biol.41563–578. 10.1007/s00300-017-2217-x
16
DemidovA. B.MosharovS. A.MakkaveevP. N. (2014). Patterns of the Kara Sea primary production in autumn: biotic and abiotic forcing of subsurface layer.J. Marine Syst.132, 130–149. 10.1016/j.jmarsys.2014.01.014
17
DemidovA. B.SheberstovS. V.GagarinV. I. (2020). Interannual variability of primary production in the Laptev Sea.Oceanology6050–61. 10.1134/S0001437020010075
18
DmitrenkoI.KirillovS.EickenH.MarkovaN. (2005). Wind-driven summer surface hydrography of the eastern Siberian shelf.Geophys. Res. Lett.32:L14613. 10.1029/2005GL023022
19
DmitrenkoI. A.KirillovS. A.BloshkinaE.LennY. D. (2012). Tide-induced vertical mixing in the Laptev Sea coastal polynya.J. Geophys. Res.117:C00G14. 10.1029/2011JC006966
20
EzratyR.Girard-ArdhuinF.PiolléJ. F.KaleschkeL.HeygsterG. (2007). Arctic and Antarctic sea ice Concentration and Arctic Sea ice drift Estimated From Special Sensor Microwave Data, Département d’Océanographie Physique et Spatiale, IFREMER, Brest, France and University of Bremen, Germany, 21 Edn. Available online at: ftp://ftp.ifremer.fr/ifremer/cersat/products/gridded/psi-drift/documentation/ssmi.pdf.
21
FernandezE.LelloucheJ. M. (2018). Product User Manual for the Global Ocean Physical Reanalysis product GLOBAL_REANALYSIS_PHY_001_030. Available online at: http://resources.marine.copernicus.eu/documents/PUM/CMEMS-GLO-PUM-001-030.pdf(accessed January 12, 2020).
22
FofonovaV.AndrosovA.DanilovS.JanoutM.SofinaE.WiltshireK. (2014). Semidiurnal tides in the Laptev Sea shelf zone in the summer season.Continental Shelf Res.73119–132. 10.1016/j.csr.2013.11.010
23
HeimB.AbramovaE.DoerfferR.GüntherF.HölemannJ.KrabergA.et al (2014). Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications.Biogeosciences114191–4210. 10.5194/bg-11-4191-2014
24
HölemannJ. A.KirillovS.KlaggeT.NovikhinA.KassensH.TimokhovL. (2011). Near-bottom water warming in the Laptev Sea in response to atmospheric and sea-ice conditions in 2007.Polar Res.30:6425. 10.3402/polar.v30i0.6425
25
HolmesR. M.ShiklomanovA. I.SuslovaA.TretiakovM.McClellandJ. W.SpencerR. G. M. (2019). [The Arctic] River discharge [in “State of the Climate in 2018”].Bull. Amer. Meteor. Soc.100S161–S163. 10.1175/2019BAMSStateoftheClimate.1
26
ItkinP.KrumpenT. (2017). Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay.Cryosphere112383–2391. 10.5194/tc-11-2383-2017
27
JanoutM.HölemannJ.JuhlsB.KrumpenT.RabeB.BauchD.et al (2016a). Episodic warming of near-bottom waters under the Arctic sea ice on the central Laptev Sea shelf.Geophys. Res. Lett.43264–272. 10.1002/2015GL066565
28
JanoutM. A.HölemannJ.WaiteA. M.KrumpenT.von AppenW. J.MartynovF. (2016b). Sea-ice retreat controls timing of summer plankton blooms in the Eastern Arctic Ocean.Geophys. Res. Lett.43:501. 10.1002/2016GL071232
29
JanoutM. A.AksenovY.HölemannJ. A.RabeB.SchauerU.PolyakovI. V.et al (2015). Kara Sea freshwater transport through Vilkitsky Strait: variability, forcing, and further pathways toward the western Arctic Ocean from a model and observations.J. Geophys. Res. Oceans1204925–4944. 10.1002/2014JC010635
30
JanoutM. A.HölemannJ.TimokhovL.GutjahrO.HeinemannG. (2017). Circulation in the northwest Laptev Sea in the eastern Arctic Ocean: crossroads between siberian river water, Atlantic water and polynya-formed dense water.J. Geophys. Res. Oceans1226630–6647. 10.1002/2017JC013159
31
JanoutM. A.LennY. D. (2014). Semidiurnal tides on the Laptev Sea shelf with implications for shear and vertical mixing.J. Phys. Oceanogr.44202–219. 10.1175/JPO-D-12-0240.1
32
JanoutM.HölemannJ. A.TimokhovL.KassensH. (2019). Moored measurements of current, temperature and salinity on the Laptev Sea shelf in 2013-2014.PANGAEA10.1594/PANGAEA.908837
33
JuhlsB.StedmonC. A.MorgensternA.MeyerH.HölemannJ.HeimB.et al (2020). Identifying drivers of seasonality in Lena river biogeochemistry and dissolved organic matter fluxes.Front. Environ. Sci.8:53. 10.3389/fenvs.2020.00053
34
KasperJ. L.WeingartnerT. J. (2012). Modeling winter circulation under landfast ice: the interaction of winds with landfast ice.J. Geophys. Res.117:C04006. 10.1029/2011JC007649
35
KrumpenT.BirrienF.KaukerF.RackowT.von AlbedyllL.AngelopoulosM. (2020). The MOSAiC ice floe: sediment-laden survivor from the Siberian shelf.Cryosph.142173–2187. 10.5194/tc-14-2173-2020
36
KrumpenT.JanoutM.HodgesK. I.GerdesR.Girard-ArdhuinF.HölemannJ. A.et al (2013). Variability and trends in Laptev Sea ice outflow between 1992–2011.Cryosph.7349–363. 10.5194/tc-7-349-2013
37
LaukertG.FrankM.BauchD.HathorneE. C.GutjahrM.JanoutM.et al (2017). Transport and transformation of riverine neodymium isotope and rare earth element signatures in high latitude estuaries: a case study from the Laptev Sea.Earth Planet. Sci. Lett.477205–217. 10.1016/j.epsl.2017.08.010
38
MorisonJ.KwokR.Peralta-FerrizC.AlkireM.RigorI.AndersenR.et al (2012). Changing Arctic Ocean freshwater pathways.Nature48166–70. 10.1038/nature10705
39
MosharovS. A. (2010). Distribution of the primary production and chlorophyll a in the Kara Sea in September of 2007.Oceanology50884–892. 10.1134/S0001437010060081
40
NitishinskyM.AndersonL. G.HölemannJ. A. (2007). Inorganic carbon and nutrient fluxes on the Arctic Shelf.Contin. Shelf Res.271584–1599. 10.1016/j.csr.2007.01.019
41
PawlowiczR. (2020). M_Map: A Mapping Package for MATLAB, Version 1.4m. Available online at: www.eoas.ubc.ca/∼rich/map.html(accessed February 10, 2020).
42
PawlowiczR.BeardsleyB.LentzS. (2002). Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE.Comput. Geosci.28929–937. 10.1016/S0098-3004(02)00013-4
43
PivovarovS.HölemannJ. A.KassensH.PiepenburgD.SchmidM. K. (2005). “Laptev and East Siberian Seas,” in The Sea, Vol. 14edsRobinsonA. R.BrinkK. H. (Cambridge: Harvard University Press), 1111–1137.
44
PolyakovI. V.PnyushkovA. V.AlkireM. B.AshikI. M.BaumannT. M.CarmackE. C. (2017). Greater role for Atlantic inflows on sea-ice loss in the Eurasian Basin of the Arctic Ocean.Science356285–291. 10.1126/science.aai8204
45
PolyakovI. V.RippethT. P.FerI.AlkireM. B.BaumannT. M.CarmackE. C. (2020a). Weakening of cold halocline layer exposes sea ice to oceanic heat in the eastern Arctic Ocean.J. Clim.338107–8123. 10.1175/JCLI-D-19-0976.1
46
PolyakovI. V.AlkireM. B.BluhmB. A.BrownK. A.CarmackE. C.ChiericiM.et al (2020b). Borealization of the Arctic Ocean in response to anomalous advection from sub-arctic Seas.Front. Mar. Sci.7:491. 10.3389/fmars.2020.00491
47
PreußerA.OhshimaK. I.IwamotoK.WillmesS.HeinemannG. (2019). Retrieval of wintertime sea ice production in arctic polynyas using thermal infrared and passive microwave remote sensing data.J. Geophys. Res.1245503–5528. 10.1029/2019JC014976
48
ProshutinskyA.KrishfieldR.TimmermansM. L.TooleJ.CarmackE.McLaughlinF.et al (2009). Beaufort Gyre freshwater reservoir: state and variability from observations.J. Geophys. Res.114:C00A10. 10.1029/2008JC005104
49
ProshutinskyA. Y.JohnsonM. A. (1997). Two circulation regimes of the wind-driven Arctic Ocean.J. Geophys. Res.10212493–12514. 10.1029/97JC00738
50
RandelhoffA.HoldingJ.JanoutM.SejrM. K.BabinM.TremblayJ. É, et al. (2020). Pan-arctic ocean primary production constrained by turbulent nitrate fluxes.Front. Mar. Sci.7:150. 10.3389/fmars.2020.00150
51
SakshaugE. (2004). “Primary and secondary production in the Arctic seas,” in The Organic Carbon Cycle in the Arctic Ocean, edsSteinR.MacdonaldR. W. (New York, NY: Springer), 57–81. 10.1007/978-3-642-18912-8_3
52
SelyuzhenokV.KrumpenT.MahoneyA.JanoutM.GerdesR. (2015). Seasonal and interannual variability of fast ice extent in the southeastern Laptev Sea between 1999 and 2013.J. Geophys. Res. Oceans1207791–7806. 10.1002/2015JC011135
53
SemiletovI. P.SavelievaN. I.WellerG. E.PipkoI. I.PugachS. P.GukovA. Y.et al (2000). “The dispersion of siberian river flows into coastal waters: meteorological, hydrological and hydrochemical aspects,” in The Freshwater Budget of the Arctic Ocean, NATO Science Series, edsLewisE. L.JonesE. P.LemkeP.ProwseT. D.WadhamsP. (Netherlands: Springer), 323–366. 10.1007/978-94-011-4132-1_15
54
ShakhovaN.SemiletovI.LeiferI.SergienkoV.SalyukA.KosmachD.et al (2014). Ebullition and storm-induced methane release from the East Siberian Arctic Shelf.Nat. Geosci.764–70. 10.1038/ngeo2007
55
ShiklomanovA. I.HolmesR. M.McClellandJ. W.TankS. E.SpencerR. G. M. (2018). Arctic Great Rivers Observatory. Discharge Dataset, Version 20200213. Avaliable at: https://arcticgreatrivers.org/data/.
56
ShpaikherO.FedorovaZ. P.YankinaZ. S. (1972). Interannual variability of hydrological regime of the Siberian shelf seas in response to atmospheric processes (in Russian).Proc. AARI3065–17.
57
SlagstadD.WassmannP. F. J.EllingsenI. (2015). Physical constrains and productivity in the future Arctic Ocean.Front. Mar. Sci.2:85. 10.3389/fmars.2015.00085
58
SoppaM. A.PefanisV.HellmannS.LosaS. N.HölemannJ.MartynovF.et al (2019). Assessing the influence of water constituents on the radiative heating of laptev sea shelf waters.Front. Mar. Sci.6:221. 10.3389/fmars.2019.00221
59
SorokinY. I.SorokinP. Y. (1996). Plankton and primary production in the lena river estuary and in the south-eastern laptev Sea.Estuar. Coas. Shelf Sci.43399–418. 10.1006/ecss.1996.0078
60
ThibodeauB.BauchD.VossM. (2017). Nitrogen dynamic in Eurasian coastal Arctic ecosystem: Insight from nitrogen isotope.Glob. Biogeochem. CY31836–849. 10.1002/2016gb005593
61
TimmermansM. L. (2015). The impact of stored solar heat on Arctic sea ice growth.Geophys. Res. Lett.426399–6406. 10.1002/2015GL064541
62
TimokhovL. A. (1994). Regional characteristics of the Laptev and the East Siberian Seas: climate, topography, ice phases, thermohaline regime, circulation.Ber. Polarforsch.14415–31.
63
WhitefieldJ.WinsorP.McClellandJ.MenemenlisD. (2015). A new river discharge and river temperature climatology data set for the pan-Arctic region.Ocean Modelling881–15. 10.1016/j.ocemod.2014.12.012
64
WilliamsW. J.CarmackE. C. (2015). The ‘interior’ shelves of the Arctic Ocean: Physical oceanographic setting, climatology and effects of sea-ice retreat on cross-shelf exchange.Prog. Oceanogr.13924–41. 10.1016/j.pocean.2015.07.008
Summary
Keywords
Arctic Ocean, Siberian shelves, Laptev Sea, freshwater, stratification, sea ice
Citation
Janout MA, Hölemann J, Laukert G, Smirnov A, Krumpen T, Bauch D and Timokhov L (2020) On the Variability of Stratification in the Freshwater-Influenced Laptev Sea Region. Front. Mar. Sci. 7:543489. doi: 10.3389/fmars.2020.543489
Received
17 March 2020
Accepted
18 August 2020
Published
15 September 2020
Volume
7 - 2020
Edited by
Paul F. J. Wassmann, Arctic University of Norway, Norway
Reviewed by
Lee W. Cooper, University of Maryland Center for Environmental Science (UMCES), United States; Igor Semiletov, V. I. Il’ichev Pacific Oceanological Institute (RAS), Russia
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© 2020 Janout, Hölemann, Laukert, Smirnov, Krumpen, Bauch and Timokhov.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Markus A. Janout, markus.janout@awi.de
This article was submitted to Global Change and the Future Ocean, a section of the journal Frontiers in Marine Science
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