FILTERED MODEL OUTPUT STATISTICS (FMOS)

Patent №

US 8,775,082

Granted

2014-07-08

Filed 2010

Owner

THE GOVERNMENT OF THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF THE NAVY

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12789497

A computer-implemented method to provide stabilized and spatially smooth regression coefficients for weather forecast error correction from small training data sets. In accordance with the present invention, an MOS estimate of the regression coefficient calculated from a small data set can be optimally combined with a smooth prior estimate of the regression coefficient, an estimate of the spatial error covariance of that prior estimate, and an estimate of the spatial error covariance of the MOS estimate. The result is a filtered MOS (FMOS) regression coefficient which can be used to more accurately estimate and correct errors in weather forecasts even using only small data sets.

AI classification

Planning1.00
Machine learning0.99
AI hardware0.84
Vision0.60
Evolutionary computation0.00
Natural language0.00
Knowledge representation0.00
Speech0.00

Ownership

THE GOVERNMENT OF THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF THE NAVY

assignment · 244530313

Assignors

BISHOP, CRAIG H.

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC