During the Arctic melt season, relatively fresh meltwater layers can accumulate under sea ice as a result of snow and ice melt, far from terrestrial freshwater inputs. Such under-ice meltwater layers, sometimes referred to as under-ice melt ponds, have been suggested to play a role in the summer sea ice mass balance both by isolating the sea ice from saltier water below, and by driving formation of ‘false bottoms’ below the sea ice. Such layers form at the interface of the fresher under-ice layer and the colder, saltier seawater below. During the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) expedition in the Central Arctic, we observed the presence of under-ice meltwater layers and false bottoms throughout July 2020 at primarily first-year ice locations. Here, we examine the distribution, prevalence, and drivers of under-ice ponds and the resulting false bottoms during this period. The average thickness of observed false bottoms and freshwater equivalent of under-ice meltwater layers was 0.08 m, with false bottom ice comprised of 74–87% FYI melt and 13–26% snow melt. Additionally, we explore these results using a 1D model to understand the role of dynamic influences on decoupling the ice from the seawater below. The model comparison suggests that the ice-ocean friction velocity was likely exceptionally low, with implications for air-ice-ocean momentum transfer. Overall, the prevalence of false bottoms was similar to or higher than noted during other observational campaigns, indicating that these features may in fact be common in the Arctic during the melt season. These results have implications for the broader ice-ocean system, as under-ice meltwater layers and false bottoms provide a source of ice growth during the melt season, potentially reduce fluxes between the ice and the ocean, isolate sea ice primary producers from pelagic nutrient sources, and may alter light transmission to the ocean below.
more »
« less
Meltwater sources and sinks for multiyear Arctic sea ice in summer
Abstract. On Arctic sea ice, the melt of snow and sea ice generate asummertime flux of fresh water to the upper ocean. The partitioning of thismeltwater to storage in melt ponds and deposition in the ocean hasconsequences for the surface heat budget, the sea ice mass balance, andprimary productivity. Synthesizing results from the 1997–1998 SHEBA fieldexperiment, we calculate the sources and sinks of meltwater produced on amultiyear floe during summer melt. The total meltwater input to the systemfrom snowmelt, ice melt, and precipitation from 1 June to 9 August wasequivalent to a layer of water 80 cm thick over the ice-covered and openocean. A total of 85 % of this meltwater was deposited in the ocean, and only 15 %of this meltwater was stored in ponds. The cumulative contributions ofmeltwater input to the ocean from drainage from the ice surface and bottommelting were roughly equal.
more »
« less
- NSF-PAR ID:
- 10297231
- Date Published:
- Journal Name:
- The Cryosphere
- Volume:
- 15
- Issue:
- 9
- ISSN:
- 1994-0424
- Page Range / eLocation ID:
- 4517 to 4525
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
This dataset contains upper ocean temperature and salinity profiles made during July – September, 2020 as part of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Central Arctic. The primary aim of these profiles was to capture the stratification of the upper ocean due to meltwater input throughout the summer melt season and the transition to fall freeze-up. The dataset includes data from two instruments: (i) YSI probe, and (ii) Sontek Castaway. The YSI probe was used to take point measurements of temperature and salinity, allowing for more fine-scale profiles in the upper couple of meters. The Sontek Castaway is a small conductivity, temperature, and depth (CTD) device that was used to make profiles over the upper 10s of meters, here typically in complement to the YSI observations, and are processed to 15 centimeters (cm) vertical resolution. Profiles were made in two primary locations: (i) near-surface of leads surrounding the sea ice floe, using both YSI and Castaway, and (ii) upper ocean directly beneath the sea ice, typically using YSI only. A small number of additional observations were made in coincident melt ponds and the upper ocean directly underneath. Details of collection and processing methods, including quality control for both instruments, can be found in data archive descriptions.more » « less
-
This metadata links to 16S and 18S rRNA amplicon data (raw sequence reads, NCBI Accession PRJNA895866) for seawater, sea ice, meltwater, and experimental samples from the Central Arctic Ocean collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in which the RV (Research Vessel) Polarstern was tethered to drifting sea ice from October 2019 to September 2020. Seawater samples were collected from the water column using a CTD (conductivity-temperature-depth) rosette or underway seawater tap during legs 1, 2, 3, 4, and 5 of the expedition. Sea ice samples were collected via coring (FYI (first-year ice), SYI (second-year ice)) or scooped with a saw and/or sieve (new ice formation) during legs 1, 3, 4, and 5 of the expedition. Summer meltwater was from surface layers within leads or melt ponds and was collected using pump systems during legs 4 and 5 of the expedition. Experimental samples were filtered and processed post nutrient addition, stable isotope, or elevated methane incubations to pair community structure with biogeochemical measurements. Original data published with the National Center for Biotechnology Information: https://www.ncbi.nlm.nih.gov/bioproject/895866 ; Please contact data creators before use.more » « less
-
more » « less
Abstract Phytoplankton primary production in the Arctic Ocean has been increasing over the last two decades. In 2019, a record spring bloom occurred in Fram Strait, characterized by a peak in chlorophyll that was reached weeks earlier than in other years and was larger than any previously recorded May bloom. Here, we consider the conditions that led to this event and examine drivers of spring phytoplankton blooms in Fram Strait using in situ, remote sensing, and data assimilation methods. From samples collected during the May 2019 bloom, we observe a direct relationship between sea ice meltwater in the upper water column and chlorophyll
a pigment concentrations. We place the 2019 spring dynamics in context of the past 20 years, a period marked by rapid change in climatic conditions. Our findings suggest that increased advection of sea ice into the region and warmer surface temperatures led to a rise in meltwater input and stronger near‐surface stratification. Over this time period, we identify large‐scale spatial correlations in Fram Strait between increased chlorophylla concentrations and increased freshwater flux from sea ice melt. -
more » « less
Abstract Pine Island Ice Shelf, in the Amundsen Sea, is losing mass due to increased heat transport by warm ocean water penetrating beneath the ice shelf and causing basal melt. Tracing this warm deep water and the resulting glacial meltwater can identify changes in melt rate and the regions most affected by the increased input of this freshwater. Here, optimum multiparameter analysis is used to deduce glacial meltwater fractions from independent water mass characteristics (standard hydrographic observations, noble gases, and oxygen isotopes), collected during a ship‐based campaign in the eastern Amundsen Sea in February–March 2014. Noble gases (neon, argon, krypton, and xenon) and oxygen isotopes are used to trace the glacial melt and meteoric water found in seawater, and we demonstrate how their signatures can be used to rectify the hydrographic trace of glacial meltwater, which provides a much higher‐resolution picture. The presence of glacial meltwater is shown to mask the Winter Water properties, resulting in differences between the water mass analyses of up to 4‐g/kg glacial meltwater content. This discrepancy can be accounted for by redefining the “pure” Winter Water endpoint in the hydrographic glacial meltwater calculation. The corrected glacial meltwater content values show a persistent signature between 150 and 400 m of the water column across all of the sample locations (up to 535 km from Pine Island Ice Shelf), with increased concentration toward the west along the coastline. It also shows, for the first time, the signature of glacial meltwater flowing off‐shelf in the eastern channel.
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.5194/tc-15-4517-2021
