FIRE Cloud ComputinG
Our Mission
To address interesting, important, and relevant questions about the role of clouds in the atmosphere, using big-data methodologies such as machine learning and geospatial analysis.
Cloud Computing values creative problem solving and innovation with python code to find solutions, answer questions, and communicate findings to stakeholders.
What is most important is engaging FIRE students in authentic research efforts, simultaneously empowering them with technical skills and career competencies, and making real progress on interesting science questions. To do this we will train students to think critically, manage all aspects of a project, collaborate, apply cutting edge methodologies, and develop algorithms and python code to solve problems and display results.
Our Research Areas
We analyze weather model output to automatically identify areas of intense vertical winds and summarize their characteristics, using a variety of techniques.
We apply a variety of machine learning techniques to extract information from the giant citizen-scientist collected dataset of cloud images and metadata.
We collect snapshots of intense polar storms as viewed from satellites as a training set for applying a variety of machine learning techniques to automatically indentify them in the future.
Team Members
