This inventor holds 1 USPTO granted patent. Top assignee: S&p Global Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Grzegorz Chlodzinski and Dynamic Climate Projection Technology.
Introduction
Grzegorz Chlodzinski is an inventor associated with London, United Kingdom, and S&P Global Inc. His patent work addresses the use of machine learning to generate high-resolution climate projections from climate data at different spatial resolutions.
Latest Patents
Chlodzinski is associated with 1 patent: “Method and System for Dynamic Generation of High-Resolution Climate Projections.” The invention describes converting past climate data from one spatial resolution to another, then training and validating a deep-learning model to map the relationship between the datasets. The trained model is applied to climate projections to generate projections at the desired higher resolution.
Career Highlights
The patent reflects an application of deep learning to climate-data processing. By translating information between spatial resolutions, the method aims to produce more detailed climate projections from available data.
Collaborations
The patent’s listed collaborators include Yuri Katz and Saurabh Paul. The work is associated with S&P Global Inc.
Conclusion
Grzegorz Chlodzinski’s patent focuses on using deep learning to generate higher-resolution climate projections, connecting climate-data transformation with a practical forecasting application.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile