A Brief Overview of Mesoscale Numerical Modeling for the Earths Polar Regions as of 2018

Abstract

This report is an attempt to provide a quick review of the current state of mesoscale numerical weather prediction modeling over polar regions of the Earth. These areas are notoriously difficult for both models and human forecasters due to their complexities of terrain, energy budget, ice-albedo feedback, and cloud microphysics (to name just a few). Although both global and mesoscale numerical weather prediction models have become increasingly sophisticated over the last several decades and in step with phenomenal increases in computational power, unique modifications still have had to be developed for their proper application to polar regions of the globe. Even in lieu of these improvements and specialized modifications, there remain a number of challenges and deficiencies to be addressed for more skillful use over polar regions, including for short-range forecasting and nowcasting purposes (which are of great interest to the US Army and other US Armed Forces).

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2018
Accession Number
AD1056781

Entities

People

  • Robert E. Jr Dumais

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Atmospheric Motion
  • Boundary Layer
  • Climate Change
  • Delphi Method
  • Energy
  • Energy Transfer
  • Global Positioning Systems
  • Grids
  • Heat Energy
  • Heat Transfer
  • High Resolution
  • Information Science
  • Latent Heat
  • Meteorological Phenomena
  • Meteorology
  • Military Research
  • Polar Regions
  • Radiation
  • Regions
  • Simulations
  • Terrain
  • Three Dimensional
  • Turbulence
  • Turbulent Mixing
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Polar and Arctic Studies