Improvement of High-Resolution Tropical Cyclone Structure and Intensity Forecasts using COAMPS-TC

Abstract

The long-term goal of this project is to develop a robust and hardened high-resolution air-ocean coupled tropical cyclone (TC) data assimilation and prediction system that is able to assimilate the wide variety of available in-situ and remotely-sensed observations in order to analyze and predict TC structure and intensity changes in an operational environment. TC intensity prediction by numerical models has shown little improvement over the past several decades and remains a formidable forecast problem. It is generally accepted now that while advancements in data assimilation and modeling have resulted in better analyses and predictions of steering flow, the processes that affect the structure and intensity of tropical cyclones are much more difficult for current numerical models to capture and reproduce. We also seek to improve prediction of TC intensity and structure change through an improved understanding and prediction of the TC outflow layer. The outflow layer is hypothesized to play a key role in tropical cyclone intensification and structural changes, and is investigated in a comprehensive manner using the innovative Global Hawk and satellite observations from the Hurricane and Severe Storms Sentinel (HS3) field program in the Atlantic during 2012-2014 and state-of- the-science tropical cyclone models.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA598106

Entities

People

  • James D. Doyle

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Boundary Layer
  • Climate Change
  • Cyclones
  • Grids
  • High Performance Computing
  • High Resolution
  • Intensity
  • Lead Time
  • Meteorology
  • Military Research
  • Ocean Waves
  • Richardson Number
  • Sea Surface Temperature
  • Surface Temperature
  • Three Dimensional
  • Tropical Cyclones

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space