Utilization of GOES Rapid-Scan Wind Data for Tropical Cyclone Predictability Experiments

Abstract

The overarching goal is to obtain special data sets of GOES rapid-scan (RS) atmospheric motion vectors (AMV) to assimilate and test for improvements in NAVY global numerical model (NOGAPS) forecasts of tropical cyclones (TC) using targeting information provided by NRL-MRY. There is the potential for forecast benefits with the GOES R/S-AMV since the higher image frequency yields more accurate observations in comparison to routinely-produced GOES AMV data. This is the motivation for this investigation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA613066

Entities

People

  • Christopher S. Velden

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Assimilation
  • Atmospheric Motion
  • Biological Phenomena
  • Cyclones
  • Data Sets
  • Ecological And Environmental Phenomena
  • Ecological And Environmental Processes
  • Hurricanes
  • Information Operations
  • Meteorological Phenomena
  • Observation
  • Quality Control
  • Targeting
  • Tropical Cyclones
  • Websites

Fields of Study

  • Environmental science

Readers

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