Development and Testing of Improved Techniques for Modeling the Hydrologic Cycle in a Mesoscale Weather Prediction System

Abstract

This research addresses the problem of moisture and temperature initializations in regional scale meteorological prediction models. Specifically, two approaches are used: one involving radar data and the second involving improved soil moisture content information. The model is initialized with rawinsonde data and then is forced to match convective signatures identified from WSR-57 radar data. Data from NOAA AVHRR radiometer data is used to initialize soil moisture information and generate large scale moisture fields. Methods of continuously updating soil moisture fields are under development.

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Document Details

Document Type
Technical Report
Publication Date
Dec 14, 1993
Accession Number
ADA277416

Entities

People

  • Thomas T. Warner

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Assimilation
  • Availability
  • Case Studies
  • Convection
  • High Resolution
  • Measurement
  • Meteorology
  • Moisture
  • Moisture Content
  • Pennsylvania
  • Precipitation
  • Surface Temperature
  • United States
  • Universities
  • Weather
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Fluid Dynamics (CFD)
  • Geotechnical Engineering.