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von Albedyll, Luisa; Hendricks, Stefan; Hutter, Nils; Murashkin, Dmitrii; Kaleschke, Lars; Willmes, Sascha; Thielke, Linda; Tian-Kunze, Xiangshan (2024): Sea ice lead fractions from multiple sensors in the Transpolar Drift during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963736

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Abstract:
Divergent sea ice motion breaks the ice and opens fractures and leads. Depending on the air temperature, those open-water areas can quickly refreeze. The open water or thin ice in leads play a crucial role in the heat and gas exchange between the ocean and the atmosphere, impacting atmospheric, ecological, and oceanic processes. Leads can be detected from space, using different types of instruments, e.g., thermal infrared, passive microwave, active microwave, or optical sensors. The retrieval methods have different sensitivities, especially concerning the minimum lead width and the maximum ice thickness, different spatial resolutions, and different limits. We presented a time series of lead fractions from different lead products (Oct 2019 - May 2020) along the drift of the Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Transpolar Drift. We compared 7 different lead products based on 1. accumulated divergence derived from SAR images, 2. divergence in linear kinematic features, 3. classified SAR data, 4. thermal infrared data from MODIS, 5. passive microwave data from AMSR-2, 6. radar altimetry from CryoSat-2 (lead fractions and total lead count), and 7. thermal infrared data from helicopter surveys. We extracted daily lead fractions in a circle with a radius of 50 km along the drift of MOSAiC. Data is available from 5 October 2019 to 15 May 2020 with shorter time series for some of the sensors. We found that the mean lead fractions varied by 1 magnitude across different lead products due to different physical lead and sea ice properties observed by the sensors and methodological factors such as spatial resolution. Thus, the choice of lead product should align with the specific application. Each file contains time and lead fraction for a circular area (radius 50 km) around the MOSAiC position of the particular time stamp. The thermal infrared data from helicopter surveys are available from doi:10.1594/PANGAEA.951569.
Keyword(s):
leads; Ocean-ice-atmosphere interaction; Open-water fraction; sea ice deformation
Related to:
Thielke, Linda; Huntemann, Marcus; Spreen, Gunnar (2022): Lead classification maps from helicopter-borne surface temperatures during the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.951569 (The thermal infrared data from helicopter surveys)
Source:
Hendricks, Stefan; Ricker, Robert; Paul, Stephan: AWI CryoSat-2 Sea Ice Thickness (version 2.4). Coverage: 2010-11-01 - 2022-04-30, accessed via ftp://ftp.awi.de/sea_ice/product/cryosat2/v2p4/nh/, hdl:10013/epic.eee8e1c4-56fd-4127-89c0-9bfddb9ec38b (CryoSat2 data)
Hutter, Nils; von Albedyll, Luisa (2023): Linear Kinematic Features (leads & pressure ridges) detected and tracked in Sentinel-1 drift and deformation data during the MOSAiC expedition. PANGAEA, https://doi.org/10.1594/PANGAEA.962308 (LKF data)
von Albedyll, Luisa (2024): Sea ice lead fractions from SAR-derived sea ice divergence in the Transpolar Drift during MOSAiC 2019/2020. PANGAEA, https://doi.org/10.1594/PANGAEA.963671 (Divergence data)
Willmes, Sascha; Heinemann, Günther; Reiser, Fabian (2023): ArcLeads: Daily sea-ice lead maps for the Arctic, 2002-2021, NOV-APR. PANGAEA, https://doi.org/10.1594/PANGAEA.955561 (MODIS data)
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Coverage:
Median Latitude: 79.020090 * Median Longitude: 39.619551 * South-bound Latitude: 53.558500 * West-bound Longitude: -6.126260 * North-bound Latitude: 88.591065 * East-bound Longitude: 119.242046
Date/Time Start: 2019-09-20T17:30:00 * Date/Time End: 2020-10-12T06:00:00
Event(s):
PS122/1-track * Latitude Start: 69.679550 * Longitude Start: 18.996650 * Latitude End: 86.593190 * Longitude End: 119.241500 * Date/Time Start: 2019-09-20T17:30:00 * Date/Time End: 2019-12-13T09:04:45 * Location: Arctic Ocean * Campaign: PS122/1 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Underway cruise track measurements (CT) * Comment: Tromsø - Arctic Ocean, MOSAiC Leg 1
PS122/2-track * Latitude Start: 86.593183 * Longitude Start: 119.242046 * Latitude End: 88.591065 * Longitude End: 55.585682 * Date/Time Start: 2019-12-13T09:04:00 * Date/Time End: 2020-02-24T08:59:59 * Location: Arctic Ocean * Campaign: PS122/2 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Underway cruise track measurements (CT)
PS122/3-track * Latitude Start: 88.591064 * Longitude Start: 55.585572 * Latitude End: 78.234121 * Longitude End: 15.624074 * Date/Time Start: 2020-02-24T09:00:00 * Date/Time End: 2020-06-04T06:30:00 * Location: Arctic Ocean * Campaign: PS122/3 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Underway cruise track measurements (CT)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
File contentContentvon Albedyll, Luisa
CSV text fileCSVvon Albedyll, Luisa
CSV text file (File Size)CSV (Size)Bytesvon Albedyll, Luisa
CSV text file (MD5 Hash)CSV (Hash)von Albedyll, Luisa
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 4 (ProcLevel4)
Size:
14 data points

Data

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Content

CSV

CSV (Size) [Bytes]

CSV (Hash)
(accumulated) divergence derived from SAR imageslead_fractions_based_on_accumulated_divergence_radius_50km.csv38.9 kBytes5168f89f32e561eeb35cb412728a005a
divergence in linear kinematic featureslead_fractions_based_on_LKF_radius_50km.csv5.7 kBytes493ee39518adfff79c152a69c57152ca
classified SAR datalead_fractions_based_on_classified_SAR_radius_50km.csv5.9 kBytes9dc2b9321f8d53aca82a09f481a067a2
thermal infrared data from MODISlead_fractions_based_on_MODIS_radius_50km.csv4.6 kBytes04a22a006d495ce6c38898e596b0a5e5
passive microwave data from AMSR-2lead_fractions_based_on_passive_microwave_radius_50km.csv6 kBytesa2dfc9cf65df8990b20f0b0a526af4a6
radar altimetry from CryoSat-2 (lead fractions)lead_fractions_based_on_CryoSat-2-lead-pixel_radius_50km.csv5.8 kBytes1c1de9f4b6ecce1849ac80606ebe85c7
radar altimetry from CryoSat-2 (total lead count)lead_fractions_based_on_CryoSat-2_radius_50km.csv5.8 kBytes954a8813cf76d09ff3afbc13764ffdda