Donald J. Wuebbles
University of Illinois at Urbana-Champaign
Particulate Matter Prediction and Source Attribution for U.S. Air Quality Management in a Changing World(baid)
Jan 2017 - Mar 2018
Particulate Matter Prediction and Source Attribution for U.S. Air Quality Management in a Changing World(babb)
Nov 2015 - Nov 2016
Jun 2014 - May 2015
Zachary Zobel, Jiali Wang, Donald J. Wuebbles, and V. Rao Kotamarthi (2017): Evaluations of High-Resolution Dynamically Downscaled Ensembles Over the Contiguous United States, Climate Dynamics, Springer Nature
K. A. Reed, J. T. Bacmeister, N. A. Rosenbloom, M. F. Wehner, S. C. Bates, P. H. Lauritzen, J. E. Truesdale, and C. Hannay (2015): Impact of the Dynamical Core on the Direct Simulation of Tropical Cyclones in a High-Resolution Global Model, Geophys. Res. Lett., Wiley-Blackwell, Vol 42, Num 9, pp3603--3608
University of Illinois CSE Annual Meeting 2013; Urbana, Illinois, U.S.A., Apr 25, 2013
Blue Waters Symposium 2014, May 13, 2014
Blue Waters Symposium 2015, May 11, 2015
Donald J. Wuebbles: Particulate Matter Prediction and Source Attribution for U.S. Air Quality Management in a Changing World
Blue Waters Symposium 2017, May 16, 2017
6 science teams begin using Blue Waters Early Science SystemSix research teams have begun using the first phase of the Blue Waters sustained-petascale supercomputer to study some of the most challenging problems in science and engineering, from supernovae to climate change to the molecular mechanism of HIV infection. The Blue Waters Early Science System, which is made up of 48 Cray XE6 cabinets, represents about 15 percent of the total Blue Waters computational system and is currently the most powerful computing resource available through the National Science Foundation..
Blue Waters Illinois allocations awarded to 26 research teamsTwenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science..