High‐Frequency Sea Ice Variability in Observations and Models

Abstract

We characterize high‐frequency variability of sea ice extent (HFVSIE) in observations and climate models. We find that HFVSIE in models is biased low with respect to observations, especially at synoptic timescales (<20 days) in the Arctic year‐round and at monthly timescales (30–60 days) in Antarctica in winter. Models show large spread in HFVSIE, especially in Antarctica. This spread is partly explained by sea ice mean‐state while model biases in sea level pressure (SLP) and wind variability do not appear to play a major role in HFVSIE spread. Extreme sea ice extent (SIE) changes are associated with SLP anomaly dipoles aligned with the sea ice edge and winds directed on‐ice (off‐ice) during SIE loss (gain) events. In observations, these events are also associated with distinct ocean wave states during the cold season, when waves are greater (smaller) and travel toward (away from) the sea ice edge during SIE loss (gain) events.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 16, 2021
Source ID
10.1029/2020gl092356

Entities

People

  • Aaron Donohoe
  • Alice Duvivier
  • Cecilia M. Bitz
  • Edward Blanchard-Wrigglesworth
  • Lettie A. Roach

Organizations

  • NASA Earth Science
  • National Center for Atmospheric Research
  • National Oceanic and Atmospheric Administration
  • National Science Foundation
  • Office of Naval Research
  • University of Washington

Tags

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Combustion Dynamics and Shock Wave Physics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers