Cited by 748Arctic and Antarctic ice dynamicsCryospheric studies and observationsOcean Waves and Remote Sensing

Determination of sea ice parameters with the NIMBUS 7 SMMR

Cavalieri, D. J., Gloersen, P., Campbell, W. J.·1984·Journal of Geophysical Research: Atmospheres

Abstract

A method of determining sea ice parameters using dual‐polarized multispectral radiance data obtained with the NIMBUS 7 Scanning Multichannel Microwave Radiometer (SMMR) is presented. Sea ice concentration is determined both at a 60‐km resolution from the polarization at the 1.7‐cm wavelength and at a 30‐km resolution using the polarization at the 0.81‐cm wavelength. Multiyear sea ice fraction is obtained from the spectral gradient ratio, which is the difference of the 0.81 cm and the 1.7 cm vertically polarized radiances divided by their sum. In addition, an ice temperature is calculated from the 4.6‐cm vertical channel radiances. The use of radiance ratios greatly reduces uncertainties in the derived parameters resulting from temporal and horizontal spatial variations of ice temperature. Observed SMMR radiances from selected areas in the Arctic region for the period February 3–7, 1979, are used in computing algorithm coefficients. Polar maps of sea ice concentration, multiyear fraction, and ice temperature are illustrated for this period. The variation of the mean and standard deviation of ice concentration and multiyear ice fraction for a region of perennial ice cover over the first 11 months of SMMR operation is also presented. The standard deviation about the mean for the computed concentration varies from 2 to 5% over the 11‐month period, while that of the multiyear fraction is about 8% for all but the summer months. Discrimination between first‐year and multiyear sea ic…

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Crossref · 10.1029/jd089id04p05355

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  • The data underlying OSI-450 are also at the heart of the two currently most widely used sea-ice concentration algorithms, namely the NASA Team algorithm and the bootstrap algorithm.

    “These data are also at the heart of the two currently most widely used seaice concentration algorithms, namely the NASA Team algorithm (Cavalieri et al., 1984) and the bootstrap algorithm (Comiso et al., 2017b).”
  • GR3719v contains information on sea-ice type.

    “In addition, GR3719v contains information on sea-ice type (Cavalieri et al., 1984)”
  • Locations for which the NT value is greater than 95 % are an acceptable representation of 100 % ice for selecting closed-ice training samples.

    “As in Tonboe et al. (2016), the CI training sample is based on the results of the NASA Team (NT) algorithm (Cavalieri et al., 1984): locations for which the NT value is greater than 95 % are used as a representation of 100 % ice (Kwok, 2002).”

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Authors
Cavalieri, D. J., Gloersen, P., & Campbell, W. J.
Venue
Journal of Geophysical Research: Atmospheres
Published
1984-06-30
Volume
89
Issue
D4
Pages
5355-5369
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2114679477
Cited by
748
References
0
Citations by year
2026: 27 · 2025: 29 · 2024: 40 · 2023: 37 · 2022: 46 · 2021: 38 · 2020: 19 · 2019: 17 · 2018: 16 · 2017: 16 · 2016: 21 · 2015: 20 · 2014: 21 · 2013: 13 · 2012: 8
FWCI
17.50
Type
journal article
Language
en
Open access
closed
Locations
Journal of Geophysical Research Atmospheres (publishedVersion)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Arctic and Antarctic ice dynamics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Cryospheric studies and observations
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Ocean Waves and Remote Sensing
Keywords
sea ice concentration, sea ice temperature, SMMR, Nimbus-7, first-year ice, Arctic sea ice, retrieval accuracy

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