Data Assimilation and Predictability Studies for Improving Tropical Cyclone Intensity Forecasts

Abstract

This project aims to understand and improve the forecast of Tropical Cyclone (TC) lifecycle evolution and intensity, focusing on both large-scale environment and mesoscale phenomena in the TC system, which are major components responsible for intensity change. Two major challenges in TC intensity forecasting are the general lack of observations in the vicinity of TCs and the adaptive representation of the forecast error covariance. This project attempts to address both challenges for improving TC intensity forecasting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2011
Accession Number
ADA557139

Entities

People

  • Craig Bishop
  • Eugenia Kalnay
  • Kayo Ide
  • Takemasa Miyoshi

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Assimilation
  • Climate Change
  • Economic Development
  • Education
  • Electronic Mail
  • Filters
  • Intensity
  • Kalman Filters
  • Meteorology
  • Military Operations
  • National Security
  • Quality Of Life
  • Sea Surface Temperature
  • Security
  • Simulations
  • Simulators
  • Tropical Cyclones

Fields of Study

  • Environmental science

Readers

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