Real-time Data Assimilation of Satellite Derived Ice Concentration into the Arctic Cap Nowcast/Forecast System (ACNFS)

Abstract

Over the last decade, ice conditions in the Arctic have changed dramatically resulting in the Arctic having a minimum in ice extent during the summers of 2007, 2008 and 2010. With this rapidly changing polar environment, the need for accurate ice forecasts is essential. The Naval Research Laboratory (NRL) has developed the Arctic Cap Nowcast/Forecast System (ACNFS), a two-way coupled ice/ocean system, to forecast ice conditions in the polar regions. This system applies the Los Alamos Community Ice CodE (CICE) coupled via the Earth System Modeling Framework (ESMF) to the HYbrid Coordinate Ocean Model (HYCOM). The Navy Coupled Ocean Data Assimilation (NCODA), a 3-Dimensional VARiational analysis (3DVAR) scheme, is used to assimilate ice and ocean observations into the forecast system. Ice concentration data from two sources the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and the Advanced Microwave Scanning Radiometer for Earth Observation System (AMSR-E) are used as observations for the ice analysis. Results from the coupled system using both concentration input datasets will be discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA551010

Entities

People

  • Alan J. Wallcraft
  • D. A. Hebert
  • Edward Joseph Metzger
  • J. A. Cummings
  • M. W. Phelps
  • Ole Martin Smedstad
  • P. G. Posey
  • R. H. Preller

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Assimilation
  • Climate Change
  • Environment
  • Meteorological Satellites
  • Microwaves
  • Military Research
  • Observation
  • Oceanography
  • Oceans
  • Polar Regions
  • Regions
  • Sea Ice
  • Sea Surface Temperature
  • Surface Temperature
  • Terrain
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies

Technology Areas

  • Space