Forecasting Future Sea Ice Conditions: A Lagrangian Approach

Abstract

The long-term goals are: 1- Show from observations whether the dynamics of the multi-year pack ice has a key influence on the location of the following summer MIZ. 2- Determine the source regions of summer sea ice in coastal zones using a back trajectory model forced with satellite-derived sea-ice drift (Maslanik et al. 1995, Emery et al. 1997, Meier et al. 2000, Tschudi et al. 2010) 3- Assess whether the source region of sea ice melting in peripheral seas in the GCMs participating in IPCC AR5 agree with observed source region patterns from the satellite-derived dataset. 4- Compare Lagrangian ice trajectories in the model with satellite datasets. 5- Repeat this comparative analysis for three critical climate horizons: a base period with a dominant perennial sea ice cover and two projection periods in the 21st Century (2040-2060 and 2080- 2080).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2014
Accession Number
ADA617626

Entities

People

  • Bruno Tremblay

Organizations

  • Columbia University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Air Temperature
  • Arctic Ocean
  • Artificial Satellites
  • Chukchi Sea
  • Climate Change
  • Data Centers
  • Data Sets
  • Delphi Method
  • Dynamics
  • Energy
  • Ice
  • North America
  • Oceans
  • Regions
  • Sea Ice
  • Trajectories
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies

Technology Areas

  • Space