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OPTIMIZING A LOCAL WEATHER FORECAST MODEL

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
11885
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
11885
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.
131 Hartwell Avenue Lexington, MA 02421 3126
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1991
Title: OPTIMIZING A LOCAL WEATHER FORECAST MODEL
Agency: NSF
Contract: N/A
Award Amount: $224,945.00
 

Abstract:

THERE IS A NEED FOR IMPROVING THE FORECASTING OF LOCAL WEATHER ELEMENTS SUCH AS PRECIPITATION, SURFACE TEMPERATURE,ETC. CURRENT FORECASTS ARE MADE BY A STATISTICAL ADAPTATIONOF LARGE SCALE NUMERICAL FORECASTS. WE PROPOSE TO USE, INSTEAD, A MODEL THAT COMPUTES THE PHYSICAL PROCESSES THAT LOCALLY MODULATE THE LARGE SCALE METEOROLOGICAL FIELDS. THEPARAMETERS OF SUCH A MODEL NEED TO BE ADJUSTED TO THE LOCAL CONDITIONS. WE PROPOSE TO USE THE ADJOINT MODEL TECHNIQUE, A TOOL OF OPTIMAL CONTROL THEORY, TO DO THIS ADJUSTMENT, I.E. TO FIND THE SET OF PARAMETERS THAT MINIMIZE THE LOCAL FORECAST ERRORS. PHASE I WILL DEMONSTRATE THE EFFECTIVENESSOF THIS METHOD. IN PHASE II, A COMPLETE PROTOTYPE FORECASTING SYSTEM WILL BE BUILT. THIS RESEARCH WILL ALLOW THE DEVELOPMENT OF MODELS THAT CAN BE TAILORED TO THE SPECIFIC NEEDS OF USERS OF LOCAL FORECASTS, SUCH AS UTILITY INDUSTRIES, AIRPORTS, AGRICULTURE, ETC. OTHER POTENTIAL APPLICATIONS OF THE RESEARCH ARE THE CALIBRATION OF SATELLITE OBSERVATIONS OF GROUND CHARACTERISTICS, AND THE INDIRECT MEASUREMENT OF QUANTITIES, SUCH AS SOIL MOISTURE, THAT ARE DIFFICULT TO MEASURE ROUTINELY IN SITU.

Principal Investigator:

Dr Jean-francois Louis
0

Business Contact:

Small Business Information at Submission:

Atmospheric & Environmental Re
840 Memorial Drive Cambridge, MA 02139

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No