Real-Time Tropical Cyclone Prediction Using COAMPS-TC

Abstract

A new version of the Coupled Ocean/Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC TM ) has been developed specifically for forecasting tropical cyclone track, structure, and intensity. The COAMPS-TC has been tested in real-time in both coupled and uncoupled modes over the past several tropical cyclone seasons in the Pacific and Atlantic basins at a horizontal grid spacing of 5 km. An evaluation of a large sample of real-time forecasts for the 2010 and 2011 seasons in the Atlantic basin reveals that the COAMPS-TC predictions have smaller intensity errors than other real-time dynamical models for forecasts beyond the 30 h time. Real-time forecasts for Hurricane Irene (2011) illustrate the capability of the model to capture both the intensity and the fine-scale features (e.g., eyewall, rainbands), in agreement with observations. The results of this research highlight the promise of high-resolution deterministic and ensemble-based approaches for tropical cyclone prediction using COAMPS-TC.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA586453

Entities

People

  • A. Reinecke
  • E. Hendricks
  • Hongyue Jin
  • J. Cummings
  • J. Moskaitis
  • James D. Doyle
  • P. Black
  • R. M. Hodur
  • Shaowen Chen
  • Yu Jin

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Agreements
  • Aircrafts
  • Atmospheric Sciences
  • Boundary Layer
  • Cyclones
  • Department Of Defense
  • High Performance Computing
  • High Resolution
  • Layers
  • Lead Time
  • Meteorology
  • Military Operations
  • Military Research
  • Sea Surface Temperature
  • Surface Temperature
  • Tropical Cyclones
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space