On the Lognormality of Rain Rate.

Abstract

A stochastic dynamic regression model is used in modeling rain rate. Under some conditions on the model parameters, it is shown that rain rate is asymptotically lognormal. An application of the model to the GATE data shows a remarkable agreement between the assumed and estimated model parameters for rain rate averaged over sufficiently large area and a sampling interval of 15 minutes. Keywords: Martingale Difference, Weighted Least Squares.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1986
Accession Number
ADA175770

Entities

People

  • Benjamin Kedem
  • Long S. Chiu

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Agreements
  • Intervals
  • Sampling

Fields of Study

  • Mathematics

Readers

  • Atmospheric Science/Meteorology
  • Mathematics or Statistics
  • Statistical inference.