Assimilation of Multi-Sensor Synoptic and Mesoscale Datasets: An Approach Based on Statistic, Dynamic, Physical and Synoptic Considerations

Abstract

Our long-term goal is to contribute to our understanding of key elements for improving the 2 to 3 day forecast of Pacific and Atlantic storms that strike the west coasts of U. S. and Europe by observations and their assimilations. Of particular interest to us are the combined effects of satellite data and in situ data (dropsondes, buoys, ships) on the initialization of a numerical forecast model to provide reliable objective forecast guidance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1999
Accession Number
ADA631299

Entities

People

  • Xiaolei Zou

Organizations

  • Florida State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Satellites
  • Assimilation
  • Case Studies
  • Cyclones
  • Dropsondes
  • Four Dimensional
  • Measurement
  • Meteorology
  • Observation
  • Oceans
  • Quality Control
  • Sensitivity
  • Storms
  • Vapors
  • Water Vapor
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Space