Documentation of the AFGL Statistical Analysis Program (ASAP) for the Global Multivariate Analysis of Heights and Winds

Abstract

The multivariate analysis of heights and winds is one of the key ingredients of any global data assimilation system (GDAS), e.g., McPherson et al. (1979), Lorenc (1981). The AFGL GDAS has been under development at AFGL/LYP for several years. In many respects, it parallels the NMC GDAS. A GDAS contains three main components: a forecast model, an analysis method and an initialization procedure. This document discusses only one part of the analysis method, namely, the multivariate statistical analysis of height and wind. Currently, the AFGL GDAS analyzes moisture in a separate program and does not analyze surface or sea level pressure. This documentation does not attempt to provide an overview of the entire AFGL GDAS or even of the entire height-wind analysis. These are provided by Norquist (1986b). The author's purpose is to describe the detailed workings of the height-wind analysis program ASAP1. Keywords: Numerical weather prediction; Optimal interpolation; FORTRAN; Subroutines.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA182600

Entities

People

  • Ross N. Hoffman

Organizations

  • Atmospheric and Environmental Research, Inc

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Classification
  • Coordinate Systems
  • Data Sets
  • Dew Point
  • Grids
  • Humidity
  • Interpolation
  • Latitude
  • Longitude
  • Molecular Weight
  • Multivariate Analysis
  • Quality Control
  • Security
  • Statistical Analysis

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation
  • Nuclear Civil Defense.