Answering the biggest questions about the Earth’s seismic activity requires two branches of seismology to connect their data in a new way: the observational community’s use of cloud computing for big data analytics and processing of measurements from earthquakes; and the modeling community’s use of High-Performance Computing (HPC) to predict, or model, the seismic waves produced by strong shaking and its impact.
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Earlier this year, the United States officially re-entered the Paris Climate Agreement, an international accord that brings many nations together to address climate change. This reconciliation puts the U.S. on track to adopt cleaner energy policies in the pursuit of eventual carbon neutrality. This return also reinforces the importance of advancing environmental research to decrease our dependence on fossil fuels, which is critical to curbing carbon dioxide emissions.
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A clear tube crammed full of electronics, protected by a purple cage studded with thrusters, traveled from Seattle to Tennessee to compete with underwater robots from all over the world in the MATE ROV World Championship Competition. This particular robot, named Nautilus, is the result of three years of work from the Underwater Remotely Operated Vehicles (UWROV) team at the University of Washington.
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Conditions in the tropical ocean affect weather patterns worldwide. The most well-known examples are El Niño or La Niña events, but scientists believe other key elements of the tropical climate remain undiscovered. In a study recently published in Geophysical Research Letters, scientists from the University of Washington and NOAA’s Pacific Marine Environmental Laboratory use remotely-piloted sailboats to gather data on cold air pools, or pockets of cooler air that form below tropical storm clouds.
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These days, very little science occurs without someone typing at least a few lines of code into a computer. Researchers employ a variety of programming languages — such as R, Python and Bash — and software to organize their data, perform analyses, build models, and visualize results. College of the Environment scientists are no different, and that has implications for science, communication and how students will gain new computational skills in the future.
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