NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Examining the Consistency of Sea Surface Temperature and Sea Ice Concentration in Arctic Satellite ProductsAvailable observations and a theoretical simulation are used to explore the consistency and relationship between sea surface temperature (SST) and sea ice concentration (SIC) within open-ocean-sea ice mixed satellite pixels as a function of grid resolution. The maximum limiting SST value for a specified SIC and spatial resolution is first examined within collocated satellite-derived products contained within existing Level 4 SST analyses distributed using the data specification from the Group for High Resolution Sea Surface Temperature. The shape of the interdependence is further validated with manually quality-controlled buoy SST and SIC collocations. A parametric equation for the limiting SST value is derived from simulations of a mixed ocean/ice pixel with specified ice fraction and a linear SST gradient extending away from the ice edge. The exponential curve matching the observed interdependence suggests a maximum 5 km pixel-averaged SST at SIC values approaching zero between 6 and 8 °C. This maximum value is significantly greater than the previously assumed limiting values of ~3 °C and the corresponding SST gradient is larger than those typically observed with satellite SST products, but agrees well with recent Saildrone SST observations near ice. The curve provides a conservative limit with which inconsistent SST/SIC pairings can be identified, not only near the ice edge but at intermediate ice concentrations. Application of the filter improves the agreement between the SST/SIC relationship in satellite products and available Saildrone observations as well as the internal consistency of the different satellite products.
Document ID
20250008354
Acquisition Source
2230 Support
Document Type
Reprint (Version printed in journal)
Authors
Sandra L Castro
(University of Colorado Boulder Boulder, United States)
Gary A Wick
(NOAA Physical Sciences Laboratory Boulder, United States)
Steinar Eastwood
(Norwegian Meteorological Institute Oslo, Norway)
Michael A Steele ORCID
(University of Washington Seattle, United States)
Rasmus T Tonboe ORCID
(Technical University of Denmark Kongens Lyngby, Denmark)
Date Acquired
August 13, 2025
Publication Date
June 2, 2023
Publication Information
Publication: Remote Sensing
Publisher: Multidisciplinary Digital Publishing Institute (Switzerland)
Volume: 15
Issue: 11
Issue Publication Date: June 1, 2023
e-ISSN: 2072-4292
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC20K0768
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
No Preview Available