This dataset was collected during a controlled sea ice growth experiment at the Sea-ice Environmental Research Facility (SERF), University of Manitoba, Winnipeg, Canada, from 23:00 on January 12 to 08:40 on January 14, 2017. Over a 33.67-hour period, 405 time-stamped observations were recorded at 5-minute intervals. The dataset captures 13 radar and environmental parameters relevant to sea ice formation and structure, including C-band polarimetric radar backscatter (VV, HH, HV) at a 25° incidence angle, air and surface temperature, humidity, wind speed, cumulative freezing degree moments (CFDM), salinity measurements (surface cover, ice surface, bulk ice), frost flower height, and ice thickness. Radar data were collected using a C-band scatterometer operating at 5.5 GHz with 30° azimuth swaths. Ice thickness ranged from 1 cm to approximately 8 cm, with surface conditions evolving from open water to ice and frost flower coverage. This multivariate time series dataset is suitable for research in sea ice thickness modeling, remote sensing, and environmental monitoring.

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Dataset Name SERF2017: Thin Sea Ice Multivariate Physical & Radar Time Series
Dataset General Type sea ice time series
Dataset Type Dataset
Dataset Level 1.1-Quality Controlled Data
Program Website
Keyword Vocabulary
Keyword Vocabulary URL
Theme Cryosphere
Remote Sensing
Dataset Status Complete
Maintenance and Update Frequency Not planned
Dataset Last Revision Date 2025-08-10
Dataset DOI 10.34992/01GA-DT35
Metadata Creation Date 2025
Publisher CanWIN
Field Value
Dataset Collection Start Date 2017-01-12
Dataset Collection End Date 2017-01-14
Spatial regions
Spatial extent West Bound Longitude
Spatial extent East Bound Longitude
Spatial extent South Bound Latitude
Spatial extent North Bound Latitude
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Sample Collection
Sample Collection 1
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Standardized Sampling Instrument Name
Sample Collection Method Name
Comment
Method Link
Method Summary
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Preferred citation
Analytical Instrument
Analytical Instrument 1
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Standardized Analytical Instrument Name
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Analytical Method
Analytical Method 1
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Comments
Variables Measured
  • C-band NRCS values (dB)
  • C-band NRCS values in HH polarization (dB)
  • C-band NRCS values in HV polarization (dB)
  • air temperature (°C)
  • surface temperature (°C)
  • Cumulative Freezing Degree Moments (CFDM)
  • humidity (%)
  • wind speed (m/s)
  • surface cover salinity (PSU)
  • ice surface salinity (PSU)
  • bulk ice salinity (PSU)
  • frost flower height (cm)
  • ice thickness (cm)
Field Value
License Name Creative Commons Attribution 4.0 International
Licence Type Open
Embargo Date
Licence URL https://spdx.org/licenses
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Field Value
Dataset Authors
Dataset Authors 1
Name
Dadjoo, Mehran
Type of Name
Personal
Email
dadjoom@myumanitoba.ca
Affiliation
Centre for Earth Observation Science - University of Manitoba
ORCID ID
0009-0000-4322-5224
Dataset Authors 2
Name
Isleifson, Dustin
Type of Name
Personal
Email
Dustin.Isleifson@umanitoba.ca
Affiliation
Centre for Earth Observation Science - University of Manitoba
ORCID ID
0000-0002-9349-8076
Contributors
Contributors 1
Name
Role
Email
Affiliation
ORCID ID
Project Data Curator Dadjoo, Mehran
Project Data Curator email dadjoom@myumanitoba.ca
Project Data Curator Affiliation Centre for Earth Observation Science - University of Manitoba
Awards
Awards 1
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Website
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Funder Identifier Scheme
Grant Number
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Related Resources
Related Resources 1
Related Resource Name
Resource Code
Identifier Type
Relationship To This Dataset
Resource Type
Online Resource
Type
Series Name
Field Value
Publications
Publications 1
Publication Name
Dadjoo, M., & Isleifson, D. (2025, July). Thin Sea Ice Thickness Prediction Using C-band Polarimetric Radar and Physical Observations Via Multivariate Random Forest Algorithm. In 2025 IEEE 20th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM) (pp. 74-77). IEEE.
Identifier Code
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Relationship to this dataset
Resource Type
Online Resource
Publication Type
ConferenceProceeding