, Volume 18, Issue 1, pp 25–33 | Cite as

Spring melt patterns in the Kara/Barents Sea: 1984

  • Crane Robert G. 
  • Anderson Mark R. 


Ice-atmosphere interactions in the Seasonal Sea Ice Zone undergo rapid changes during the spring melt period with the transition from winter to summer conditions. The nature of these interactions is strongly dependent on the characteristics of the surface, which also experiences large changes during this same time period. This paper describes a methodology, based on Extended Principal Components Analysis, which is used to categorize the spatial and temporal patterns of surface change that occur in the Seasonal Sea Ice Zone during the spring/early summer. The methodology is demonstrated for the Kara/Barents Sea in spring 1984 using data from the Nimbus-7 Scanning Multichannel Microwave Radiometer. The analysis shows conditions in the Barents Sea to be largely controlled by ice advection, while the variance in the Kara Sea is dominated by surface melt.


Microwave Principal Component Analysis Environmental Management Advection Temporal Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Anderson, M. R.: The onset of spring melt in first-year ice regions of the Arctic as determined from Scanning Multichannel Microwave Radiometer Data for 1979 and 1980. Journal of Geophysical Research 92 (C 12), 13153–13163 (1987)Google Scholar
  2. Anderson, M. R.; Crane, R. G.; Barry, R. G.: Characteristics of Arctic Ocean ice determined from SMMR data for 1979: Case studies in the seasonal sea ice zone. Advances in Space Research 5 (6), 257–261 (1985)Google Scholar
  3. Cavalieri, D. J.; Gloersen, P.; Campbell, W. J.: Determination of sea ice parameters with Nimbus 7 SMMR. Journal of Geophysical Research 88 (D 4), 5355–5369 (1984)Google Scholar
  4. Comiso, J. C.: Sea ice effective emissivities from satellite passive microwave and infrared observations. Journal of Geophysical Research 88 (C 12), 7686–7704 (1983)Google Scholar
  5. Lau, K.-M.; Chan, P. H.: Aspects of the 40–50 day oscillation during the northern winter as inferred from outgoing longwave radiation. Monthly Weather Review 113, 1889–1909 (1985)Google Scholar
  6. Parkinson, C. L.: On the value of long-term satellite passive microwave data sets for sea ice/climate studies. GeoJournal (this issue)Google Scholar
  7. Richman, M. B.: Rotation of principal components. Journal of Climatology 6, 293–335 (1986)Google Scholar
  8. Svendsen, E.; Kloster, K.; Farrelly, B.; Johannessen, O. M.; Johannessen, J. A.; Campbell, W. J.; Gloersen, P.; Cavalieri, D.; Matzler, C.: Norwegian Remote Sensing Experiment: Evaluation of the Nimbus 7 Scanning Multichannel Microwave Radiometer for sea ice research. Journal of Geophysical Research 88 (C 5), 2781–2791 (1983)Google Scholar
  9. Weare, B. C.; Nasstrom, J. S.: Examples of Extended Empirical Orthogonal Function analyses. Monthly Weather Review 110, 481–485 (1982)Google Scholar
  10. Weeks, W. F.: Sea ice conditions in the Arctic. AIDJEX Bulletin 34, 173–205 (1976)Google Scholar

Copyright information

© Kluwer Academic Publishers 1989

Authors and Affiliations

  • Crane Robert G. 
    • 1
  • Anderson Mark R. 
    • 2
  1. 1.Department of GeographyThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Department of GeographyUniversity of Nebraska-LincolnLincolnUSA

Personalised recommendations