Air quality forecasting based on dynamic blending
US10330655B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 11, 2017 |
| Grant date | Jun 25, 2019 |
| Priority date | — |
| Expiry date | Dec 15, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/70
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
According to one or more embodiments of the present invention, a method of forecasting air quality is provided. The method includes determining weather pattern classifications based on global atmospheric information from a global weather model and determining a synoptic scale correction factor in response to the determination of the weather pattern classifications. The method also includes blending the global atmospheric information the synoptic scale correction factor to produce a data set and blending the data set with regional atmospheric information from a regional weather model to generate weather fields. The method further includes blending chemical information from a global chemical model and the synoptic scale correction factor to produce a second data set and blending the second data set into a regional chemical model based on the weather fields to forecast the air quality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.