Ice Condition (ICECON) Model

Abstract

The ice condition (ICECON) index is a decision support tool for management to communicate to mariners in the Great Lakes. It describes ice conditions severity and the potential impacts to vessels navigating in the region. The ICECON Model, which calculates and forms the index, is developed using a linear optimization algorithm. A Monte Carlo optimization scheme was employed to determine the appropriate weights or coefficients for each environmental parameter (ice concentration, ice thickness, ice air temperature, ice divergence, and dynamic ice pressure). Early feedback from District Nine (D9), Great Lakes' mariners, and stakeholders have been positive. National Ice Center (NIC) has agreed to assist Arctic Domain Awareness Center (ADAC) in publishing ICECON products (i.e. forecasts, plots, charts displaying ice concentration and thickness) and mariner observation reports to D9 for operational use. Furthermore, in a recent annual conference ""Securing S and T success for the coming Arctic"" conducted by ADAC, DHS S and T discussed extending their work plan with ADAC to continue ICECON research in District 17 (D17). For these reasons coupled with the strong partnership garnered between NIC and ADAC during this effort, the CG Research and Development Center recommends the ICECON Model transition to the NIC for the time being for further examination. This will give D9 time to determine the model's accuracy and feasibility for official implementation into CG operations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2020
Accession Number
AD1205841

Entities

People

  • Sam Cheung

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Temperature
  • Algorithms
  • Classification
  • Climate Change
  • Data Science
  • Glaciers
  • Great Lakes
  • Homeland Security
  • Ice
  • Lakes
  • Linear Programming
  • Mobile Application Software
  • Observation
  • Open Water
  • Optimization
  • Relative Motion
  • Ridges
  • Ships
  • Thickness
  • Water

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Polar and Arctic Studies