Cited by 385Arctic and Antarctic ice dynamicsCryospheric studies and observationsOceanographic and Atmospheric Processes

Deriving long‐term time series of sea ice cover from satellite passive‐microwave multisensor data sets

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Cavalieri, D. J., Parkinson, C. L., Gloersen, P., Comiso, J. C., Zwally, H. J.·1999·Journal of Geophysical Research: Oceans

Abstract

We have generated consistent sea ice extent and area data records spanning 18.2 years from passive‐microwave radiances obtained with the Nimbus 7 scanning multichannel microwave radiometer and with the Defense Meteorological Satellite Program F8, F11, and F13 special sensor microwave/imagers. The goal in the creation of these data was to produce a long‐term, consistent set of sea ice extents and areas that provides the means for reliably determining sea ice variability over the 18.2‐year period and also serves as a baseline for future measurements. We describe the method used to match the sea ice extents and areas from these four multichannel sensors and summarize the problems encountered when working with radiances from sensors having different frequencies, different footprint sizes, different visit times, and different calibrations. A major obstacle to adjusting for these differences is the lack of a complete year of overlapping data from sequential sensors. Nonetheless, our procedure reduced ice extent differences during periods of sensor overlap to less than 0.05% and ice area differences to 0.6% or less.

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  • Although the swath-based land spillover correction is quite efficient at reducing land spillover contamination, a statistical method similar to that of Cavalieri et al. (1999) still had to be applied at Level 3.

    “Note that, although this swath-based correction step is quite efficient at reducing land spillover contamination, a statistical method similar to that of Cavalieri et al. (1999) still had to be applied at Level 3; this is further discussed in Sect.5.2.”

    From Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records (2019) · cites this paper as Cavalieri et al. (1999)

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Research works printed but not linked: 4

  1. Colton, M. C., and G. A. Poe, Intersensor calibration of DMSP SSM/ I's: F-8 to F-14, 1987-1997, IEEE Trans. Geosci. Remote Sens., 37, 418-439, 1999.
  2. Fischer, H., and C. Oelke, Sea ice concentration in response to weather systems in the Weddell Sea: Comparison between SSM/I data and model simulations, paper presented at the 1997 Interna- tional Geoscience and Remote Sensing Symposium, Inst. of Electr. and Electron. Eng., Singapore, Aug. 3-8, 1997.
  3. Gloersen, P., and F. T. Barath, A scanning multichannel microwave radiometer for Nimbus-G and SeaSat-A, IEEE J. Oceanic Eng., OE-2, 172-178, 1977.
  4. Levitus, S., and T. P. Boyer, World Ocean Atlas 1994, vol. 4, Temper- ature, NOAA Natl. Oceanogr. Data Cent., Ocean Clim. Lab., U.S. Dep. of Commerce, Washington, D.C., 1994.

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Authors
Cavalieri, D. J., Parkinson, C. L., Gloersen, P., Comiso, J. C., & Zwally, H. J.
Affiliations
Goddard Space Flight Center (US)
Venue
Journal of Geophysical Research: Oceans
Published
1999-07-15
Volume
104
Issue
C7
Pages
15803-15814
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2064447705
Cited by
385
References
0
Citations by year
2026: 5 · 2025: 15 · 2024: 22 · 2023: 9 · 2022: 17 · 2021: 43 · 2020: 22 · 2019: 21 · 2018: 10 · 2017: 20 · 2016: 23 · 2015: 14 · 2014: 24 · 2013: 15 · 2012: 11
FWCI
5.24
Type
journal article
Language
en
Open access
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 › Oceanographic and Atmospheric Processes
Keywords
sea ice extent, sea ice area, passive microwave radiometry, long-term time series, Nimbus-7, Defense Meteorological Satellite Program, SSM/I, footprint size, sea ice variability

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