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US Patent 11300708 Tuning weather forecasts through hyper-localization

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11300708
Patent Inventor Names
Vagner Figueredo de Santana6
Alvaro Bueno Buoro6
Date of Patent
April 12, 2022
Patent Application Number
16806394
Date Filed
March 2, 2020
Patent Citations
‌
US Patent 10168448 Machine learning approach for analysis and prediction of cloud particle size and shape distribution
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US Patent 10217169 Computer system for determining geographic-location associated conditions
3
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US Patent 10162355 Road model management based on selective feedback
4
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US Patent 10204193 Large scale analysis of catastrophic weather damage
5
Patent Citations Received
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US Patent 11754750 Method and system for short to long-term flood forecasting
Patent Primary Examiner
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Daniel R Miller
CPC Code
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G01W 2201/00
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G06N 3/08
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G06N 20/00
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G01W 2203/00
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G01W 2001/006
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G01W 1/10
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G06T 7/00
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G01W 1/02

The embodiments herein describe a forecasting system that uses captured images or a location to generate a weather forecast for that location. As used herein, a hyper-location is any location where images of that location are available to the forecasting system. For example, a hyper-location can be an airport where a security camera can provide historical images of the weather conditions at the airport. In one embodiment, the forecasting system can extract attributes from the images that indicate the historical weather conditions at the hyper-location. The forecasting system can then use those weather conditions to select which one of a plurality of historical scenarios best matches the weather conditions. The selected scenario can then be used to train a machine learning (ML) model that tunes a weather forecast for that location.

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