Dubey, Umesh; Willmes, Sascha; Heinemann, Günther (2025): AntLeads: Monthly wintertime sea-ice lead maps for the Antarctic, April-September, 2003–2023 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.977634
Always quote citation above when using data! You can download the citation in several formats below.
Published: 2025-09-04 • DOI registered: 2025-09-04
Abstract:
The AntLeads dataset provides data about lead occurrences in Antarctic sea ice during wintertime (Apr-Sep) for the 21-years period of 2003-2023. It includes monthly lead frequencies (LF), i.e. a measure for how often during a month a lead was present at a specific position in the sea ice at a spatial resolution of 1 km². The LF data field is accompanied by a potential absolute Integration Error (pIE), which represents a per-pixel measure of absolute uncertainty for the derived LF value, caused by data gaps due to clouds in the daily data that were used to derive monthly LF maps. The AntLeads dataset provides a basis for investigations into the complex pan-Antarctic interplay between sea ice, ocean and atmosphere. The presented data can help to better estimate and untangle the individual contribution of atmospheric and oceanic forcings on sea-ice lead dynamics in the Southern Ocean.
Keyword(s):
Related to:
Dubey, Umesh; et al. (submitted): A new dataset of Southern Ocean sea-ice leads: First insights into regional lead patterns, seasonality and trends, 2003–2023.
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 502024302: Patterns and Drivers of Sea ice dynamics in the Southern Ocean (PADOS)
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Coverage:
Median Latitude: -64.618180 * Median Longitude: 0.000000 * South-bound Latitude: -90.000000 * West-bound Longitude: -180.000000 * North-bound Latitude: -39.236360 * East-bound Longitude: 180.000000
Date/Time Start: 2003-04-01T00:00:00 * Date/Time End: 2023-09-30T00:00:00
Event(s):
Comment:
Each file is in NETCDF4 format and contains two fields at 1 km² spatial resolution each: 1) The monthly lead frequency (LF) and 2) the absolute potential Integration Error (pIE). Both fields have applied a scaling factor of s = 1000.
Basic import:
path = 'data_path/'
file = '200907_LF.nc'
fname = path + file
nc = Dataset(fname, 'r', 'netCDF4')
print(nc.description)
meanLF = nc['meanLF'][:]
pIE = nc['potInterpError'][:]
nc.close()
meanLF = meanLF/1000
pIE = pIE/1000
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Willmes, Sascha | Geocode | ||
| 2 | netCDF file | netCDF | Willmes, Sascha | |||
| 3 | netCDF file (File Size) | netCDF (Size) | Bytes | Willmes, Sascha |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
127 data points