This inventor holds 5 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 1 EPO patent. Top assignee: The Climate Corporation. Active years: 2019-2021.
Company Filing History:
Years Active: 2019-2021
Title: Innovations by Inventor Stephan Hoyer
Introduction
Stephan Hoyer is an accomplished inventor based in San Francisco, CA (US). He has made significant contributions to the field of weather data analysis and forecasting. With a total of 5 patents to his name, Hoyer's work focuses on improving the accuracy and reliability of weather predictions.
Latest Patents
One of Hoyer's latest patents is titled "Statistical blending of weather data sets." This method involves fusing point data with areal averages using a computing system. The fusion process is designed to be coherent, ensuring that the computing system considers the representation of areal averages in relation to point data. The goal is to develop a model that integrates information from both data sets, allowing for a more accurate estimation of environmental variables across specific districts.
Another notable patent is "Weather forecasts through post-processing." This method calibrates forecasts related to temperature, precipitation, and other weather variables. An agricultural intelligence computing system receives historical ensemble-based forecasts and observations, determining historical differences between them. By utilizing these differences alongside current forecasts, the system generates improved ensemble-based forecasts tailored to specific locations.
Career Highlights
Stephan Hoyer is currently employed at The Climate Corporation, where he applies his expertise in weather data analysis. His innovative approaches have contributed to advancements in agricultural intelligence and weather forecasting technologies.
Collaborations
Hoyer collaborates with talented individuals such as Ricardo T Lemos and Holly Dail, enhancing the impact of his work through teamwork and shared expertise.
Conclusion
Stephan Hoyer's contributions to weather data analysis and forecasting demonstrate his commitment to innovation in this critical field. His patents reflect a deep understanding of the complexities involved in weather prediction, ultimately benefiting various industries reliant on accurate weather information.