The sensitivity of a one-dimensional thermodynamic sea ice model to changes in cloudiness.

K. P. Shine, Robert George Crane

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

The ice model response time is too long for interannual variations in cloud amount to explain interannual variations in ice thickness and extent. Nevertheless, the implication of the results is that numerical modeling of sea ice distribution requires accurate cloud data or cloud prediction and that trends in cloud cover may lead to significant perturbations in sea ice extent and thickness. -from Authors

Original languageEnglish (US)
JournalJournal of Geophysical Research
Volume89
Issue numberC6
StatePublished - Jan 1 1984

Fingerprint

Sea ice
sea ice
Ice
cloud cover
thermodynamics
ice
Thermodynamics
annual variations
annual variation
sensitivity
ice thickness
perturbation
trends
prediction
predictions
modeling

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences (miscellaneous)
  • Palaeontology

Cite this

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abstract = "The ice model response time is too long for interannual variations in cloud amount to explain interannual variations in ice thickness and extent. Nevertheless, the implication of the results is that numerical modeling of sea ice distribution requires accurate cloud data or cloud prediction and that trends in cloud cover may lead to significant perturbations in sea ice extent and thickness. -from Authors",
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The sensitivity of a one-dimensional thermodynamic sea ice model to changes in cloudiness. / Shine, K. P.; Crane, Robert George.

In: Journal of Geophysical Research, Vol. 89, No. C6, 01.01.1984.

Research output: Contribution to journalArticle

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AU - Crane, Robert George

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AB - The ice model response time is too long for interannual variations in cloud amount to explain interannual variations in ice thickness and extent. Nevertheless, the implication of the results is that numerical modeling of sea ice distribution requires accurate cloud data or cloud prediction and that trends in cloud cover may lead to significant perturbations in sea ice extent and thickness. -from Authors

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