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  • 1
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    The Ross Sea Dipole – Temperature, Snow Accumulation and Sea Ice Variability in the Ross Sea Region, Antarctica, over the Past 2,700 Years (2017)
    Copernicus
    Details
    Publication Date: 2017-08-01
    Description: High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually-dated ice core record from the eastern Ross Sea. Comparison of the Roosevelt Island Climate Evolution (RICE) ice core records with climate reanalysis data for the 1979–2012 calibration period shows that RICE records reliably capture temperature and snow precipitation variability of the region. RICE is compared with data from West Antarctica (West Antarctic Ice Sheet Divide Ice Core) and the western (Talos Dome) and eastern (Siple Dome) Ross Sea. For most of the past 2,700 years, the eastern Ross Sea was warming with perhaps increased snow accumulation and decreased sea ice extent. However, West Antarctica cooled whereas the western Ross Sea showed no significant temperature trend. From the 17th Century onwards, this relationship changes. All three regions now show signs of warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea, but increasing in the western Ross Sea. Analysis of decadal to centennial-scale climate variability superimposed on the longer term trend reveal that periods characterised by opposing temperature trends between the Eastern and Western Ross Sea have occurred since the 3rd Century but are masked by longer-term trends. This pattern here is referred to as the Ross Sea Dipole, caused by a sensitive response of the region to dynamic interactions of the Southern Annual Mode and tropical forcings.
    Print ISSN: 1814-9340
    Electronic ISSN: 1814-9359
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 2
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    A novel tilt sensor for studying ice deformation: application to streaming ice on Jarvis Glacier, Alaska (2019)
    Cambridge University Press
    Details
    Publication Date: 2019-11-12
    Description: We developed a tilt sensor for studying ice deformation and installed our tilt sensor systems in two boreholes drilled close to the shear margin of Jarvis Glacier, Alaska to obtain kinematic measurements of streaming ice. We used the collected tilt data to calculate borehole deformation by tracking the orientation of the sensors over time. The sensors' tilts generally trended down-glacier, with an element of cross-glacier flow in the borehole closer to the shear margin. We also evaluated our results against flow dynamic parameters derived from Glen's exponential flow law and explored the parameter space of the stress exponent n and enhancement factor E. Comparison with values from ice deformation experiments shows that the ice on Jarvis is characterized by higher n values than that is expected in regions of low stress, particularly at the shear margin (~3.4). The higher n values could be attributed to the observed high total strains coupled with potential dynamic recrystallization, causing anisotropic development and consequently sped up ice flow. Jarvis' n values place the creep regime of the ice between basal slip and dislocation creep. Tuning E towards a theoretical upper limit of 10 for anisotropic ice with single-maximum fabric reduces the n values by 0.2.
    Print ISSN: 0022-1430
    Electronic ISSN: 1727-5652
    Topics: Geography , Geosciences
    Published by Cambridge University Press on behalf of International Glaciological Society.
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  • 3
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    Constraining Geothermal Flux at Coastal Domes of the Ross Ice Sheet, Antarctica (2019)
    American Geophysical Union
    Details
    Publication Date: 2019-11-19
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by American Geophysical Union
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  • 4
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    The Ross Sea Dipole – temperature, snow accumulation and sea ice variability in the Ross Sea region, Antarctica, over the past 2700 years (2018)
    Copernicus
    Details
    Publication Date: 2018-02-21
    Description: High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually dated ice core record from the eastern Ross Sea, named the Roosevelt Island Climate Evolution (RICE) ice core. Comparison of this record with climate reanalysis data for the 1979–2012 interval shows that RICE reliably captures temperature and snow precipitation variability in the region. Trends over the past 2700 years in RICE are shown to be distinct from those in West Antarctica and the western Ross Sea captured by other ice cores. For most of this interval, the eastern Ross Sea was warming (or showing isotopic enrichment for other reasons), with increased snow accumulation and perhaps decreased sea ice concentration. However, West Antarctica cooled and the western Ross Sea showed no significant isotope temperature trend. This pattern here is referred to as the Ross Sea Dipole. Notably, during the Little Ice Age, West Antarctica and the western Ross Sea experienced colder than average temperatures, while the eastern Ross Sea underwent a period of warming or increased isotopic enrichment. From the 17th century onwards, this dipole relationship changed. All three regions show current warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea but increasing in the western Ross Sea. We interpret this pattern as reflecting an increase in sea ice in the eastern Ross Sea with perhaps the establishment of a modern Roosevelt Island polynya as a local moisture source for RICE.
    Print ISSN: 1814-9324
    Electronic ISSN: 1814-9332
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 5
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    The influence of snow on sea ice as assessed from simulations of CESM2 (2021)
    Copernicus
    Details
    Publication Date: 2021-10-28
    Description: We assess the influence of snow on sea ice in experiments using the Community Earth System Model version 2 for a preindustrial and a 2xCO2 climate state. In the preindustrial climate, we find that increasing simulated snow accumulation on sea ice results in thicker sea ice and a cooler climate in both hemispheres. The sea ice mass budget response differs fundamentally between the two hemispheres. In the Arctic, increasing snow results in a decrease in both congelation sea ice growth and surface sea ice melt due to the snow's impact on conductive heat transfer and albedo, respectively. These factors dominate in regions of perennial ice but have a smaller influence in seasonal ice areas. Overall, the mass budget changes lead to a reduced amplitude in the annual cycle of ice thickness. In the Antarctic, with increasing snow, ice growth increases due to snow–ice formation and is balanced by larger basal ice melt, which primarily occurs in regions of seasonal ice. In a warmer 2xCO2 climate, the Arctic sea ice sensitivity to snow depth is small and reduced relative to that of the preindustrial climate. In contrast, in the Antarctic, the sensitivity to snow on sea ice in the 2xCO2 climate is qualitatively similar to the sensitivity in the preindustrial climate. These results underscore the importance of accurately representing snow accumulation on sea ice in coupled Earth system models due to its impact on a number of competing processes and feedbacks that affect the melt and growth of sea ice.
    Print ISSN: 1994-0416
    Electronic ISSN: 1994-0424
    Topics: Geography , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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  • 6
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    Roosevelt Island Climate Evolution (RICE) ice core isotope record (2017)
    PANGAEA
    In:  Supplement to: Bertler, Nancy A; Conway, Howard; Dahl-Jensen, Dorthe; Emanuelsson, Urban; Winstrup, Mai; Vallelonga, Paul T; Lee, James E; Brook, Edward J; Severinghaus, Jeffrey P; Fudge, Tyler J; Keller, Elizabeth D; Baisden, W Troy; Hindmarsh, Richard C A; Neff, Peter D; Blunier, Thomas; Edwards, Ross L; Mayewski, Paul Andrew; Kipfstuhl, Sepp; Buizert, Christo; Canessa, Silvia; Dadic, Ruzica; Kjær, Helle Astrid; Kurbatov, Andrei; Zhang, Dongqi; Waddington, Edwin D; Baccolo, Giovanni; Beers, Thomas; Brightley, Hannah J; Carter, Lionel; Clemens-Sewall, David; Ciobanu, Viorela G; Delmonte, Barbara; Eling, Lukas; Ellis, Aja A; Ganesh, Shruthi; Golledge, Nicholas R; Haines, Skylar A; Handley, Michael; Hawley, Robert L; Hogan, Chad M; Johnson, Katelyn M; Korotkikh, Elena; Lowry, Daniel P; Mandeno, Darcy; McKay, Robert M; Menking, James A; Naish, Timothy R; Noerling, Caroline; Ollive, Agathe; Orsi, Anais J; Proemse, Bernadette C; Pyne, Alexander R; Pyne, Rebecca L; Renwick, James; Scherer, Reed P; Semper, Stefanie; Simonsen, Marius; Sneed, Sharon B; Steig, Eric J; Tuohy, Andrea; Ulayottil Venugopal, Abhijith; Valero Delgado, Fernando; Venkatesh, Janani; Wang, Feitang; Wang, Shimeng; Winski, Dominic A; Winton, Victoria H L; Whiteford, Arran; Xiao, Cunde; Yang, Jiao; Zhang, Xin (2018): The Ross Sea dipole - temperature, snow accumulation and sea ice variability in the Ross Sea region, Antarctica, over the past 2700 years. Climate of the Past, 14, 193-214, https://doi.org/10.5194/cp-14-193-2018
    Details
    Publication Date: 2024-03-18
    Description: High-resolution, well-dated climate archives provide an opportunity to investigate the dynamic interactions of climate patterns relevant for future projections. Here, we present data from a new, annually-dated ice core record from the eastern Ross Sea. Comparison of the Roosevelt Island Climate Evolution (RICE) ice core records with climate reanalysis data for the 1979-2012 calibration period shows that RICE records reliably capture temperature and snow precipitation variability of the region. RICE is compared with data from West Antarctica (West Antarctic Ice Sheet Divide Ice Core) and the western (Talos Dome) and eastern (Siple Dome) Ross Sea. For most of the past 2,700 years, the eastern Ross Sea was warming with perhaps increased snow accumulation and decreased sea ice extent. However, West Antarctica cooled whereas the western Ross Sea showed no significant temperature trend. From the 17th Century onwards, this relationship changes. All three regions now show signs of warming, with snow accumulation declining in West Antarctica and the eastern Ross Sea, but increasing in the western Ross Sea. Analysis of decadal to centennial-scale climate variability superimposed on the longer term trend reveal that periods characterised by opposing temperature trends between the Eastern and Western Ross Sea have occurred since the 3rd Century but are masked by longer-term trends. This pattern here is referred to as the Ross Sea Dipole, caused by a sensitive response of the region to dynamic interactions of the Southern Annual Mode and tropical forcings.
    Keywords: AGE; Age, maximum/old; Age, minimum/young; DEPTH, ice/snow; ICEDRILL; Ice drill; Isotope ratio mass spectrometry; RICE; Roosevelt Island, Antarctica; δ Deuterium
    Type: Dataset
    Format: text/tab-separated-values, 8136 data points
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  • 7
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    Snowpit salinity profiles during the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: In the designated snowpits, 100cm3 of snow was collected in the field, melted and measured for salinity in the laboratory on board Polarstern. Salinity of the melted snow samples was measured using the YSI 30 Salinity, Conductivity and Temperature sensor. The transport containers, as well as the YSI tip, were cleaned using milli-Q water. Salinity profiles were measured at the same intervals as density and stable isotope profiles.
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Comment; Conductivity; DATE/TIME; Event label; Height, relative, from ice/snow line, maximum; Height, relative, from ice/snow line, minimum; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-5; PS122/1_10-50; PS122/1_10-70; PS122/1_10-71; PS122/1_10-72; PS122/1_5-5; PS122/1_6-30; PS122/1_6-41; PS122/1_6-47; PS122/1_6-6; PS122/1_7-12; PS122/1_7-68; PS122/1_7-70; PS122/1_7-73; PS122/1_7-88; PS122/1_8-68; PS122/1_8-78; PS122/1_8-79; PS122/1_9-71; PS122/1_9-72; PS122/1_9-73; PS122/2; PS122/2_16-24; PS122/2_16-44; PS122/2_16-45; PS122/2_16-46; PS122/2_16-62; PS122/2_17-109; PS122/2_17-16; PS122/2_17-43; PS122/2_17-44; PS122/2_17-45; PS122/2_17-46; PS122/2_17-47; PS122/2_17-49; PS122/2_18-17; PS122/2_18-52; PS122/2_18-53; PS122/2_18-54; PS122/2_18-55; PS122/2_18-56; PS122/2_18-66; PS122/2_19-129; PS122/2_19-132; PS122/2_19-134; PS122/2_19-137; PS122/2_19-141; PS122/2_19-142; PS122/2_19-144; PS122/2_19-145; PS122/2_19-146; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-4; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-52; PS122/2_21-53; PS122/2_21-84; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-73; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-35; PS122/2_24-81; PS122/2_24-86; PS122/2_25-22; PS122/2_25-23; PS122/2_25-59; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-43; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_33-41; PS122/3_34-34; PS122/3_34-45; PS122/3_35-23; PS122/3_35-53; PS122/3_35-56; PS122/3_36-103; PS122/3_36-14; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-132; PS122/3_37-39; PS122/3_37-41; PS122/3_37-57; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-4; PS122/3_38-51; PS122/3_38-95; PS122/3_39-45; PS122/3_39-46; PS122/3_39-48; PS122/3_39-88; PS122/3_39-91; PS122/3_39-92; PS122/4; PS122/4_44-156; PS122/4_44-193; PS122/4_44-215; PS122/4_44-216; PS122/4_44-45; PS122/4_44-47; PS122/4_45-107; PS122/4_45-108; PS122/4_45-16; PS122/4_45-18; PS122/4_45-8; PS122/4_45-87; PS122/4_46-104; PS122/4_46-106; PS122/4_46-107; PS122/4_46-108; PS122/4_46-109; PS122/4_46-110; PS122/4_46-111; PS122/4_46-112; PS122/4_46-135; PS122/4_46-181; PS122/4_46-29; PS122/4_47-22; PS122/4_47-66; PS122/4_47-76; PS122/4_47-77; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/4_48-177; PS122/4_48-40; PS122/4_48-41; PS122/4_48-42; PS122/4_48-47; PS122/4_48-58; PS122/4_49-47; PS122/4_49-7; PS122/4_49-8; PS122/5; PS122/5_59-204; PS122/5_59-206; PS122/5_59-222; PS122/5_59-235; PS122/5_59-250; PS122/5_59-267; PS122/5_59-292; PS122/5_59-313; PS122/5_59-350; PS122/5_59-352; PS122/5_60-128; PS122/5_60-142; PS122/5_60-2; PS122/5_60-24; PS122/5_60-26; PS122/5_60-78; PS122/5_60-91; PS122/5_61-132; PS122/5_61-162; PS122/5_61-198; PS122/5_61-2; PS122/5_61-210; PS122/5_61-236; PS122/5_61-25; PS122/5_61-28; PS122/5_61-4; PS122/5_61-97; PS122/5_62-10; PS122/5_62-101; PS122/5_62-119; PS122/5_62-123; PS122/5_62-124; PS122/5_62-126; PS122/5_62-139; PS122/5_62-140; PS122/5_62-146; PS122/5_62-39; PS122/5_62-44; PS122/5_62-69; PS122/5_62-89; PS122/5_62-99; PS122/5_63-262; PS122/5_63-96; PS122/5_63-97; PS122/5_63-99; Salinity; Salinity, absolute; Sample ID; SNOWPIT; Snow pit; Temperature, water; YSI 30 salinty/conductivity/temperature meter
    Type: Dataset
    Format: text/tab-separated-values, 5157 data points
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  • 8
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    Snowpit stable isotope profiles during the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: In the designated snowpits on the MOSAic expedition a 100cm3 sample of snow was measured for density in the field, approximately every 3 vertical centimetres. The same snow volume was melted for salinity measurements and sealed into glass jars onboard Polarstern. As a result, δ18O and δ2H isotope composition was measured at the same intervals as density and salinity profiles, included in the snowpit dataset bundle. These samples were then transported to the WSL laboratory in Switzerland to analyse the stable water isotopes (δ18O and δ2H). This dataset provides details on the date and coordinates of the snowpit event, the height of the sample in the snow profile, and the corresponding isotope composition. This dataset includes the isotopic composition of the samples obtained in the winter months (October 2019 to May 2020). After analysis of the samples, and comparing the values to a parallel dataset (doi:10.1594/PANGAEA.948511), it was identified that our samples needed to be corrected due to evaporative fractionation during sample storage. The corrected values are included in this published dataset and we recommend that future studies using this dataset use these corrected values only. The correction was done by calculating the mean of this dataset to the mean of the parallel dataset and correcting for the difference. As a result, the δ18O was corrected by -6.4‰, the δ2H was corrected by -36.4‰. The new values are located in the columns 'δ18O H2O [‰ SMOW] (Corrected)' and 'δD H2O [‰ SMOW] (Corrected)'. We would like to emphasise that calculations of d-excess values for this dataset need interpreting carefully.
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Corrected; DATE/TIME; Event label; File name; Height, relative, from ice/snow line, maximum; Height, relative, from ice/snow line, minimum; LATITUDE; Location; LONGITUDE; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/2; PS122/2_18-66; PS122/2_19-144; PS122/2_19-28; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-4; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-52; PS122/2_21-53; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-73; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-86; PS122/2_25-22; PS122/2_25-23; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-43; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_33-41; PS122/3_34-34; PS122/3_34-45; PS122/3_35-23; PS122/3_35-53; PS122/3_35-56; PS122/3_36-103; PS122/3_36-14; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-132; PS122/3_37-39; PS122/3_37-41; PS122/3_37-57; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-51; PS122/3_38-95; PS122/3_39-45; PS122/3_39-46; PS122/3_39-48; PS122/3_39-88; PS122/3_39-91; PS122/3_39-92; Sample code/label; Sample number; SNOWPIT; Snow pit; Uncorrected; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 3510 data points
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  • 9
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    Snowpit multi-image photogrammetry images collected during the MOSAiC expedition (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The small-scale surface roughness is important for scattering of shortwave visible and higher-frequency microwave radiation. A standard digital camera (Olympus tough TG-5) and a set of reference targets were used to take sets of images that can be processed using multi-image photogrammetry into high-resolution small-scale digital elevation models (DEMs). The DEMs can be used to estimate roughness of the snow surface and of the snow-ice interface. The reference targets were distributed around a small ( ~ 0.6 m x 0.6 m) area, and pictures were taken from different angles, including all targets in each image, and ideally overlapping by at least 80%. Pictures were always taken with the maximum wide-angle of the camera. During polar night, a headlamp was taken to illuminate the scene before pictures were taken. Image sets of the surface were taken before the snowpit was excavated. Image sets of the snow-ice interface were taken after the detailed snowpit measurements, and the remaining snow was brushed off the ice surface using a brush. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Date/Time of event; Event label; Image; Image (File Size); Latitude of event; Longitude of event; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Olympus Tough TG-5 Camera; Polarstern; Position; PS122/1; PS122/1_6-6; PS122/1_7-12; PS122/1_7-88; PS122/2; PS122/2_16-62; PS122/2_16-9; PS122/2_17-109; PS122/2_17-16; PS122/2_17-49; PS122/2_18-17; PS122/2_18-56; PS122/2_18-66; PS122/2_18-8; PS122/2_19-144; PS122/2_19-28; PS122/2_19-35; PS122/2_19-9; PS122/2_19-92; PS122/2_20-4; PS122/2_20-80; PS122/2_20-83; PS122/2_21-52; PS122/2_21-53; PS122/2_21-96; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-73; PS122/2_23-2; PS122/2_23-34; PS122/2_23-73; PS122/2_23-74; PS122/2_23-9; PS122/2_24-14; PS122/2_24-15; PS122/2_24-35; PS122/2_24-86; PS122/2_25-22; PS122/2_25-23; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-43; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-41; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_33-102; PS122/3_33-41; PS122/3_33-42; PS122/3_33-65; PS122/3_34-45; PS122/3_34-60; PS122/3_35-111; PS122/3_35-121; PS122/3_35-23; PS122/3_35-53; PS122/3_35-56; PS122/3_36-102; PS122/3_36-106; PS122/3_36-107; PS122/3_36-138; PS122/3_36-14; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-132; PS122/3_37-22; PS122/3_37-39; PS122/3_37-41; PS122/3_37-57; PS122/3_37-58; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-4; PS122/3_38-51; PS122/3_38-93; PS122/3_38-94; PS122/3_38-95; PS122/3_39-46; PS122/3_39-48; PS122/3_39-88; PS122/3_39-91; PS122/3_39-92; PS122/4; PS122/4_44-157; PS122/4_44-215; PS122/4_44-216; PS122/4_44-45; PS122/4_45-16; PS122/4_45-18; PS122/4_45-8; PS122/4_46-31; PS122/4_46-32; PS122/4_47-66; PS122/4_47-97; PS122/4_48-146; PS122/4_48-177; PS122/4_49-47; PS122/5; PS122/5_59-193; PS122/5_59-204; PS122/5_59-206; PS122/5_59-222; PS122/5_59-235; PS122/5_59-250; PS122/5_59-267; PS122/5_59-292; PS122/5_59-303; PS122/5_59-313; PS122/5_59-350; PS122/5_59-352; PS122/5_60-117; PS122/5_60-118; PS122/5_60-119; PS122/5_60-120; PS122/5_60-128; PS122/5_60-142; PS122/5_60-168; PS122/5_60-2; PS122/5_60-24; PS122/5_60-25; PS122/5_60-26; PS122/5_60-43; PS122/5_60-74; PS122/5_60-75; PS122/5_60-77; PS122/5_60-78; PS122/5_60-91; PS122/5_61-104; PS122/5_61-132; PS122/5_61-139; PS122/5_61-162; PS122/5_61-167; PS122/5_61-198; PS122/5_61-2; PS122/5_61-236; PS122/5_61-25; PS122/5_61-28; PS122/5_61-4; PS122/5_61-97; PS122/5_62-10; PS122/5_62-124; PS122/5_62-126; PS122/5_62-139; PS122/5_62-140; PS122/5_62-147; PS122/5_62-163; PS122/5_62-39; PS122/5_62-44; PS122/5_62-69; PS122/5_62-89; PS122/5_62-99; PS122/5_63-262; PS122/5_63-263; PS122/5_63-95; PS122/5_63-96; PS122/5_63-97; PS122/5_63-98; PS122/5_63-99; SNOWPIT; Snow pit
    Type: Dataset
    Format: text/tab-separated-values, 9138 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Snowpit metadata TXT files collected during the MOSAiC expedition (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The metadata txt files can be used to obtain a quick overview of one snowpit event. They give details on date of the event, location of the snowpit, start time, GPS file name taken at the snowpit location, snow depth, weather during the event, participants conducting the measurements, instruments included in the measurements and chemical samples collected. Please direct inquiries to; David Wagner (PS122/1), Martin Schneebeli (PS122/2), Amy Macfarlane (PS122/3 and PS122/4), Ruzica Dadic (PS122/5).
    Keywords: Arctic Ocean; Arctic Research Icebreaker Consortium: A strategy for meeting the needs for marine-based research in the Arctic; ARICE; Date/Time of event; Event label; Latitude of event; Longitude of event; MOSAiC; MOSAiC20192020; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_10-70; PS122/1_10-71; PS122/1_10-72; PS122/1_4-10; PS122/1_5-28; PS122/1_5-35; PS122/1_5-5; PS122/1_6-5; PS122/1_6-6; PS122/1_6-75; PS122/1_7-33; PS122/1_7-87; PS122/1_7-88; PS122/2; PS122/2_16-24; PS122/2_16-44; PS122/2_16-45; PS122/2_16-46; PS122/2_16-62; PS122/2_16-9; PS122/2_17-109; PS122/2_17-16; PS122/2_17-89; PS122/2_17-90; PS122/2_17-91; PS122/2_18-107; PS122/2_18-108; PS122/2_18-17; PS122/2_18-47; PS122/2_18-52; PS122/2_18-53; PS122/2_18-54; PS122/2_18-55; PS122/2_18-56; PS122/2_18-66; PS122/2_18-76; PS122/2_18-8; PS122/2_18-9; PS122/2_19-128; PS122/2_19-129; PS122/2_19-131; PS122/2_19-132; PS122/2_19-133; PS122/2_19-134; PS122/2_19-135; PS122/2_19-137; PS122/2_19-141; PS122/2_19-144; PS122/2_19-145; PS122/2_19-146; PS122/2_19-160; PS122/2_19-161; PS122/2_19-181; PS122/2_19-28; PS122/2_19-35; PS122/2_19-41; PS122/2_19-75; PS122/2_19-9; PS122/2_19-92; PS122/2_20-107; PS122/2_20-108; PS122/2_20-136; PS122/2_20-137; PS122/2_20-138; PS122/2_20-139; PS122/2_20-140; PS122/2_20-141; PS122/2_20-142; PS122/2_20-143; PS122/2_20-144; PS122/2_20-145; PS122/2_20-164; PS122/2_20-35; PS122/2_20-36; PS122/2_20-4; PS122/2_20-70; PS122/2_20-80; PS122/2_20-83; PS122/2_21-14; PS122/2_21-15; PS122/2_21-158; PS122/2_21-159; PS122/2_21-170; PS122/2_21-84; PS122/2_21-96; PS122/2_22-43; PS122/2_22-46; PS122/2_22-5; PS122/2_22-6; PS122/2_22-61; PS122/2_22-66; PS122/2_22-67; PS122/2_22-68; PS122/2_22-69; PS122/2_22-73; PS122/2_22-74; PS122/2_23-105; PS122/2_23-2; PS122/2_23-34; PS122/2_23-53; PS122/2_23-73; PS122/2_23-74; PS122/2_23-75; PS122/2_23-76; PS122/2_23-77; PS122/2_23-78; PS122/2_23-79; PS122/2_23-85; PS122/2_23-9; PS122/2_24-112; PS122/2_24-113; PS122/2_24-14; PS122/2_24-15; PS122/2_24-16; PS122/2_24-35; PS122/2_24-56; PS122/2_24-81; PS122/2_24-86; PS122/2_25-105; PS122/2_25-22; PS122/2_25-23; PS122/2_25-59; PS122/2_25-60; PS122/2_25-61; PS122/2_25-62; PS122/2_25-63; PS122/2_25-80; PS122/2_25-81; PS122/3; PS122/3_29-28; PS122/3_29-29; PS122/3_29-38; PS122/3_29-43; PS122/3_29-50; PS122/3_29-9; PS122/3_30-17; PS122/3_30-25; PS122/3_30-42; PS122/3_30-61; PS122/3_31-55; PS122/3_31-79; PS122/3_32-22; PS122/3_32-41; PS122/3_32-59; PS122/3_32-61; PS122/3_32-88; PS122/3_32-92; PS122/3_32-93; PS122/3_33-102; PS122/3_33-103; PS122/3_33-112; PS122/3_33-113; PS122/3_33-40; PS122/3_33-41; PS122/3_33-42; PS122/3_33-65; PS122/3_33-66; PS122/3_34-2; PS122/3_34-34; PS122/3_34-45; PS122/3_34-46; PS122/3_34-60; PS122/3_34-91; PS122/3_35-111; PS122/3_35-120; PS122/3_35-121; PS122/3_35-23; PS122/3_35-24; PS122/3_35-53; PS122/3_35-56; PS122/3_36-102; PS122/3_36-103; PS122/3_36-104; PS122/3_36-105; PS122/3_36-106; PS122/3_36-107; PS122/3_36-137; PS122/3_36-138; PS122/3_36-14; PS122/3_36-15; PS122/3_36-35; PS122/3_36-99; PS122/3_37-129; PS122/3_37-130; PS122/3_37-131; PS122/3_37-132; PS122/3_37-133; PS122/3_37-156; PS122/3_37-21; PS122/3_37-22; PS122/3_37-39; PS122/3_37-40; PS122/3_37-41; PS122/3_37-56; PS122/3_37-57; PS122/3_37-58; PS122/3_37-68; PS122/3_38-1; PS122/3_38-141; PS122/3_38-142; PS122/3_38-152; PS122/3_38-4; PS122/3_38-51; PS122/3_38-52; PS122/3_38-93; PS122/3_38-94; PS122/3_38-95; PS122/3_38-96; PS122/3_38-97; PS122/3_38-98; PS122/3_39-45; PS122/3_39-46; PS122/3_39-47; PS122/3_39-48; PS122/3_39-87; PS122/3_39-88; PS122/3_39-89; PS122/3_39-90; PS122/3_39-91; PS122/3_39-92; PS122/3_40-14; PS122/3_40-15; PS122/4; PS122/4_44-121; PS122/4_44-122; PS122/4_44-155; PS122/4_44-156; PS122/4_44-157; PS122/4_44-193; PS122/4_44-215; PS122/4_44-216; PS122/4_44-218; PS122/4_44-220; PS122/4_44-44; PS122/4_44-45; PS122/4_44-46; PS122/4_44-47; PS122/4_45-107; PS122/4_45-108; PS122/4_45-132; PS122/4_45-16; PS122/4_45-17; PS122/4_45-18; PS122/4_45-46; PS122/4_45-62; PS122/4_45-63; PS122/4_45-8; PS122/4_45-86; PS122/4_45-87; PS122/4_45-89; PS122/4_46-104; PS122/4_46-105; PS122/4_46-106; PS122/4_46-107; PS122/4_46-108; PS122/4_46-109; PS122/4_46-110; PS122/4_46-111; PS122/4_46-112; PS122/4_46-135; PS122/4_46-138; PS122/4_46-139; PS122/4_46-140; PS122/4_46-146; PS122/4_46-181; PS122/4_46-29; PS122/4_46-31; PS122/4_46-32; PS122/4_46-48; PS122/4_47-156; PS122/4_47-175; PS122/4_47-176; PS122/4_47-177; PS122/4_47-178; PS122/4_47-179; PS122/4_47-22; PS122/4_47-23; PS122/4_47-61; PS122/4_47-66; PS122/4_47-76; PS122/4_47-77; PS122/4_47-97; PS122/4_48-100; PS122/4_48-142; PS122/4_48-143; PS122/4_48-144; PS122/4_48-145; PS122/4_48-146; PS122/4_48-147; PS122/4_48-148; PS122/4_48-177; PS122/4_48-40; PS122/4_48-41; PS122/4_48-42; PS122/4_48-43; PS122/4_48-44; PS122/4_48-45; PS122/4_48-47; PS122/4_48-58; PS122/4_48-83; PS122/4_48-85; PS122/4_48-86; PS122/4_49-15; PS122/4_49-46; PS122/4_49-47; PS122/4_49-48; PS122/4_49-7; PS122/4_49-8; SNOWPIT; Snow pit; Text file; Text file (File Size)
    Type: Dataset
    Format: text/tab-separated-values, 305 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
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