Invention Grant
- Patent Title: Air quality forecasting based on dynamic blending
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Application No.: US15403212Application Date: 2017-01-11
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Publication No.: US10330655B2Publication Date: 2019-06-25
- Inventor: Hui Du , Yu Du , Si Huang , Yu Jia Tang , Bao Guo Xie , Meng Zhang , Xin Zhang , Shuai Zhu
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Grant Johnson
- Main IPC: G01N33/00
- IPC: G01N33/00 ; G06F19/00 ; G01W1/10

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.
Public/Granted literature
- US20180196023A1 AIR QUALITY FORECASTING BASED ON DYNAMIC BLENDING Public/Granted day:2018-07-12
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