Like Capital One Machine Learning, Deep Brain Neurotech, Phillips Virtual Culture, Sustainability Analytics, and Simulating Particle Detection, this stream was created to allow students interested in technology, code, modern toolsets, advanced analyses of data and cutting-edge visualization techniques to experience a growing field that utilizes all of these research approaches. Do not miss the opportunity to put your analytical, code and problem-solving skills to the test in a field at the forefront of high performance computing and big data analysis.
Weather and climate impact nearly every aspect of society including transportation, food supply, renewable energy, tourism, infrastructure standards, natural resource availability, and national security. The future success of these sectors is partially dependent on our understanding of atmospheric phenomenon, such as droughts, heat waves, flooding, extreme weather, clouds and precipitation, and how they will change in a future climate.
The study of atmospheric science employs ground and satellite-based observations to construct and verify conceptual models of how the atmosphere behaves and computer models to understand the interactions of key processes and predict outcomes.
The fields of atmospheric and computer science came into their own around the same time and have remained tightly linked, with advances in one pushing forward advances in the other. The cutting edge of atmospheric computational science utilizes principles of artificial intelligence such as deep learning and knowledge graphs to harness the information contained in the ever growing collection of model output and observations.
Student participants in this stream can expect to learn and use aspects of high performance computing to conduct experiments with community developed models and explore vast datasets of model results and observations collected by national research institutions like NOAA and NASA.