Assimilation of DOD Sensor Data into Operational Forecast Models PE 0602435 (NRL BE-035-02-32)

Abstract

Remotely-sensed observations from satellites hold great promise for providing a wealth of high-temporal and spatial resolution data, particularly over the oceans. However, it has been very difficult for numerical weather prediction systems to show consistent, positive forecast improvement attributable to satellite retrievals obtained in the conventional manner. By developing techniques for the direct assimilation of the satellite measured radiances, this project will lay the foundation for improved three- and four-dimensional data assimilation systems for global and mesoscale applications. These systems may be run at operational central-site forecast centers or run on-scene to provide operational mission support.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA629074

Entities

People

  • Nancy L. Baker

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Assimilation
  • Control Systems
  • Detectors
  • Four Dimensional
  • Humidity
  • Measurement
  • Microwaves
  • Military Research
  • Models
  • Observation
  • Quality Control
  • Radiative Transfer
  • Variational Methods
  • Water Vapor
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Systems Analysis and Design

Technology Areas

  • Space