RESEARCH ON TROPICAL RAINFALL PATTERNS AND ASSOCIATED MESO-SCALE SYSTEMS.

Abstract

The contingency index is used as a tool to show the differences of rainfall and the terrain in Costa Rica. The differences, even with small orographic influences, can be noted. The unusually heavy rain occurring in Panams during 1935 is identified as to period and region. Standard mathematical analytical procedures show that some regions received amounts which may be classified as one in a thousand or one in ten thousand probabilities. The synoptic data pertinent to this period are, unfortunately, not available. The seasonal distribution of precipitation in Honduras is illustrated by means of percentage changes in the monthly rainfall. The general inference from these maps is that changes begin in the south of the country but a few months are characterized by disturbances originating in the north. The daily rainfall observations from San Salvador, El Salvador are examined for independence to determine if they may be approximated by a Markov chain probability model. A tabulation of the marginal and conditional probabilities based on a first order Markov chain are presented and examples are given showing how the probability of occurrence for any sequence of wet and/or dry days may be calculated. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 04, 1966
Accession Number
AD0628768

Entities

People

  • John F. Griffiths
  • John S. Cornett
  • L. Glen Cobb
  • Tommy D. Guest
  • Walter K. Henry

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Central America
  • Continents
  • Costa Rica
  • El Salvador
  • Geographic Regions
  • Honduras
  • Markov Chains
  • Mathematics
  • North America
  • Observation
  • Precipitation
  • Probability
  • Rain
  • Rainfall
  • Sequences
  • Standards

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference