SBIR/STTR Research Award

A STOCHASTIC RAIN MODEL AND ITS APPLICATION IN RAIN RATE ESTIMATION.

Award identifier c6ed12ee7cee21165836375bb565372da067ae10ac27d34fdefe24b9d028db95Awarding agency National Aeronautics and Space Administration

Award amount

$48,710

Program and phase

SBIR · Phase I

Award year

1990

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Interdisciplinary Science Appl
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

ONE OF THE PROBLEMS IN UNDERSTANDING THE DYNAMICS OF THE ATMOSPHERE AND ITS EFFECT ON THE ENVIRONMENT IS LACK OF RELIABLE RAINFALL DATA OR THEIR COMPLETE ABSENCE. RELIABLE RAINFALL DATA IS AN IMPORTANT PARAMETER IN MODELS USED FOR WEATHER PREDICTION, IS OF CONCERN TO ENVIRONMENTALISTS STUDYING THE EFFECT OF ACID RAIN, IS ESSENTIAL FOR WATER RESOURCES MANAGEMENT AND PLAYS A MAJOR ROLE IN MANY OTHER AREAS. A STOCHASTIC MODEL THAT CAPTURES THE ESSENCE OF RAINFALL PROCESSES IN TIME AND SPACE IS SUGGESTED. SUCH A MODEL IS PROPOSED TO BE USED TO INVESTIGATE THE APPLICABILITY AND USEFULNESS OF THE THRESHOLD METHOD, IN RAINFALL ESTIMATION. THE RAINFALL MODEL WILL SATISFY CERTAIN CONSISTENCY REQUIREMENTS. IT WILL CONSIST OF THREE PARTS; A STATIONARY CLOUD FIELD, A SPATIAL RANDOM RAIN FIELD, AND A MOVING WINDOW. ONCE THE MODEL IS VERIFIED, THE THRESHOLD METHOD WILL BE APPLIED TO THE DATA GENERATED BY IT.

Technology keywords

Not reported

Agency intelligence

National Aeronautics and Space Administration

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