Outlook for Improved Numerical Weather Prediction Using Satellite Data with a Special Emphasis on the Hydrological Variables,

Abstract

This review critically surveys types and accuracies of available satellite data, satellite data retrieval methodologies, and data requirements of numerical weather prediction (NWP) models. NWP modeling, parameterization and data assimilation methods are reviewed with particular attention to the hydrological variables. It is concluded that the means exist to obtain improved retrievals of cloud and moisture parameters and to better parameterize the hydrological cycle. Further advances in the retrieval of humidity profiles, the parameterizations of clouds and the objective analysis of humidity are required.

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Document Details

Document Type
Technical Report
Publication Date
Nov 18, 1983
Accession Number
ADA141233

Entities

People

  • D. A. Salstein
  • L. D. Kaplan
  • R. D. Rosen
  • R. G. Isaacs
  • R. N. Hoffman

Organizations

  • Atmospheric and Environmental Research, Inc

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Boundary Layer
  • Climate Change
  • Computational Science
  • Databases
  • Electromagnetic Scattering
  • Equations Of State
  • Geography
  • Geosynchronous Satellites
  • Heat Energy
  • Latent Heat
  • Mathematical Filters
  • Meteorology
  • Surface Properties
  • Thermodynamics
  • Three Dimensional
  • Turbulence
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Systems Analysis and Design

Technology Areas

  • Space