libby barnes csu

Image courtesy Libby Barnes. “I’ve learned how important it is to get out of my computer science department and talk in the language of other scientists and experts.”Anderson has spent his career “under the hood” of machine learning algorithms, seeking to apply his methods to other fields. And, we've learned that we can maintain vibrant, healthy landscapes in our community with responsible watering practices. Cleveland State University is an equal opportunity educator and employer. There are those scientists who predict weather patterns one to seven days out, and there are those who model long-term probabilities in weather and climate for seasons or decades to come.Barnes’ work – including her leadership of a task force working to predict sub-seasonal extreme weather – has been recognized many times over.

She believes climate science is well positioned to harness machine learning methods to uncover new knowledge about how the global climate functions, how it’s changing, and why.Machine learning is a branch of artificial intelligence that can use computer algorithms to “learn” from input data what the output should be. On the monitors are images of some of her research interests: on the left a water vapor image of an "atmospheric river" in the Pacific Ocean; on the right, a diagram of atmospheric circulation in the tropics. Libby Barnes, an assistant professor in CSU’s Department of Atmospheric Science, works at the challenging boundary between these short- and long-term forecasts. “If you think about it, compared to most geoscience disciplines, we are data-rich.”Take, for instance, the hundreds of weather satellites orbiting Earth daily, beaming petabytes of minute-by-minute atmospheric data to places like CSU’s That’s why Barnes has formed a close collaboration with experts who can help her do just that.About three years ago, Barnes met Imme Ebert-Uphoff, a research faculty member in the CSU Department of Electrical and Computer Engineering and the machine learning lead for CIRA. ©2020 Cleveland State University | 2121 Euclid Avenue, Cleveland, OH 44115-2214 | (216) 687-2000.

The GOES satellite, on the other hand, is in geostationary orbit, essentially “staring” at a storm 24/7, but lacks a microwave imager.Slocum’s solution is to find cases where he has both polar and geostationary data at the same time, then train his neural network to use infrared data from GOES to learn to make accurate, synthetic microwave data that matches the real polar-orbiting microwave data.

Chris Slocum, a NOAA tropical cyclone specialist working at CIRA, is experimenting with using machine learning applications to build accurate, synthetic images of storms as they progress, using infrared and microwave data gathered by different satellites.Slocum started dabbling with neural networks as an entertaining side project while he worked on his dissertation a few years ago. She’s the bridge that has connected Barnes with Chuck Anderson, a professor in the Department of Computer Science who has worked in the development of artificial neural networks since the 1980s. In recognition of her research, she will receive the Clarence Leroy Meisinger Award from the American Meteorological Society at the AMS meeting in January. Assistant professor Libby Barnes at her desk at Colorado State University. ... Atmospheric Dynamics & Variability.

With the launch of the multi-channel GOES geostationary satellites, which take a full-disk picture of the Earth every 10 minutes, Slocum saw an opportunity to dig into how increasingly user-friendly neural networks might help turn some of those daily terabytes of data into innovative forecasting tools.His latest project, which NOAA has funded for CIRA researchers, was inspired by the storm track of Hurricane Michael, which crossed through the Caribbean Sea and Gulf of Mexico before  devastating the panhandle of Florida last year. 2017 – Graduate Advising and Mentorship Award, Honorable Mention, selected by the CSU Graduate Student Council 2016 – George T. Abell Outstanding Early-Career Faculty Award, College of Engineering, CSU 2016 – Outstanding Professor of the Year Award, Dept. This includes at the Masters, PhD and postdoctoral level. By CSU Life Staff Elizabeth (Libby) Barnes, associate professor in the Department of Atmospheric Science, has made fundamental contributions to our understanding of the climate system. Barnes also participated in a public media event hosted by NOAA and the American Geophysical Union.

Together, Barnes, Ebert-Uphoff and Anderson have sought to tackle one of the most fundamental, complex questions the climate field has faced: How to identify definitive signals of climate change across a variety of models that sometimes disagree.The three scientists are co-authors, with James W. Hurrell and David Anderson, on a newly accepted paper in Their experiments produced some surprising insights: for one, the Arctic is not a good indicator of climate change because of high levels of natural variation in that region’s environment.