Validating a Large Geophysical Data Set: Experiences with Satellite-Derived Cloud Parameters,

Abstract

We are validating the global cloud parameters derived from the satellite-borne HIRS2 and MSU atmospheric sounding instrument measurements, and are using the analysis of these data as one prototype for studying large geophysical data sets in general. The HIRS2/MSU data set contains a total of 40 physical parameters, filling 25 NM/day; raw HIRS2/MSU data are available for a period exceeding 10 years. Validation involves developing a quantitative sense for the physical meaning of the derived parameters over the range of environmental conditions sampled. This is accomplished by comparing the spatial and temporal distributions of the derived quantities with similar measurements made using other techniques, and with model results.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007122

Entities

People

  • James E. Knighton
  • Ralph Kahn
  • Robert D. Haskins

Organizations

  • Jet Propulsion Laboratory

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Computer Science
  • Data Science
  • Data Sets
  • Engineering
  • Information Science
  • Measurement
  • Models
  • Network Science
  • Prototypes
  • Statistics
  • Theoretical Computer Science
  • Validation

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Regression Analysis.

Technology Areas

  • Space