PANGAEA_987383 Daily Arctic polynya masks 1978-2024 from two satellite sea ice products (SMMR, SSM/I & SSMIS and SMOS & SMOS-SMAP) Wong, Carmen Hau Man; Heuzé, Céline Daily Arctic polynya masks 1978-2024 from two satellite sea ice products (SMMR, SSM/I & SSMIS and SMOS & SMOS-SMAP) 2025-11-17 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.987383 Investigator Carmen Hau Man Wong hau.man.wong@gu.se Earth Science Identification DATE/TIME LATITUDE LONGITUDE netCDF file netCDF file (File Size) File content geoscientificInformation Arctic_65-90N Arctic sea ice Polynya Satellite remote sensing sea ice-atmosphere interactions 1978-11-01 2024-04-30 Complete 90.0 90.0 0.0 0.0 unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 12 data points text/tab-separated-values Heuzé, Céline; Wong, Carmen Hau Man (2025): Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning. The Cryosphere, 19(11), 6043-6058, https://doi.org/10.5194/tc-19-6043-2025 Wong, Carmen Hau Man; Heuzé, Céline; Ickes, Luisa; Zhou, Lu (2026): The Spatiotemporal Variability, Trends, and Drivers of Winter Arctic Polynyas. Journal of Climate, 39(6), 1433-1455, https://doi.org/10.1175/JCLI-D-25-0312.1 DiGirolamo, Nicolo; Parkinson, Claire; Cavalieri, Donald J; Gloersen, Per; Zwally, H (2022): Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 2 [dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/MPYG15WAA4WX Huntemann, Marcus; Heygster, Georg; Kaleschke, Lars; Krumpen, Thomas; Mäkynen, M; Drusch, Matthias (2014): Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations. The Cryosphere, 8(2), 439-451, https://doi.org/10.5194/tc-8-439-2014 Paţilea, Cătălin; Heygster, Georg; Huntemann, Marcus; Spreen, Gunnar (2019): Combined SMAP–SMOS thin sea ice thickness retrieval. The Cryosphere, 13(2), 675-691, https://doi.org/10.5194/tc-13-675-2019

This dataset provides four daily Arctic polynya masks derived from two satellite sea ice products. The products used are (1) the daily sea ice concentration (SIC) dataset from the National Snow and Ice Data Center (DiGirolamo et al., 2022; for years 1978–2024) and (2) the daily thin ice thickness (SIT) dataset from the University of Bremen Sea Ice Remote Sensing Group (SMOS and SMOS/SMAP Thin Ice Thickness, Huntemann et al., 2014 and Paţilea et al., 2019; for years 2012–2024). The study region covers the Arctic Ocean 65° - 90°N. Two wintertime study periods are included, corresponding to two research articles (Wong, C H M et al., 2026; Heuzé, C & Wong, C H M, in 2025). Polynya thresholds are defined as 50% for SIC and 20 cm for SIT. Details of the full polynya detection method are provided in Wong, C H M et al. (2026). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.987383"!

http://en.wikipedia.org/wiki/ISO_6709 LATITUDE http://en.wikipedia.org/wiki/ISO_6709 LONGITUDE http://en.wikipedia.org/wiki/ISO_8601 DATE/TIME https://doi.org/10.1175/JCLI-D-25-0312.1 The Spatiotemporal Variability, Trends, and Drivers of Winter Arctic Polynyas https://doi.org/10.5065/D6H70CW6 netCDF file https://doi.org/10.5065/D6H70CW6 netCDF file (File Size) https://doi.org/10.5067/MPYG15WAA4WX Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 2 https://doi.org/10.5194/tc-13-675-2019 Combined SMAP–SMOS thin sea ice thickness retrieval https://doi.org/10.5194/tc-19-6043-2025 Automatic detection of Arctic polynyas using hybrid supervised-unsupervised deep learning https://doi.org/10.5194/tc-8-439-2014 Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations DIF 9.4 2025-11-17 2026-08-31