PPT-Fast radio bursts and the magnetization and turbulence of t

w eb Ryan Shannon ICRARCurtin ATNF Vikram Ravi Swinburne Pulsar Group Outline Fast radio bursts FRBs Exciting times FRB 131104 The improbablerealtime discovery of an FRB to the Carina dwarf spheroidal. No subscriber or other reader should act on the basis of any such information without referring to applicable laws and regulations andor without taking appropriate professional advice Although every effort has been made to ensure accuracy the Intern Captain Rocky Stone. . Chief Technical Pilot - Surveillance. FPAW - Oct. 24, 2013. Overview. Turbulence information, what do we do with it?. Turbulence information needs. Pilot and dispatcher training. Alexander . Kotov. , . ChengXiang. . Zhai. , Richard . Sproat. University of Illinois at Urbana-Champaign. Roadmap. Problem definition. Previous work. Approach. Experiments. Summary. Motivation. Web data is generated by a large number of textual streams (news, blogs, tweets, etc. Solar Energetic Particle Events . (L. . Winter, . S. Huston, K. . Ledbetter, R. Quinn; AER). Analysis of the Wind/WAVES radio burst and the GOES proton properties led to finding that radio properties (e.g., type II and type III peak flux) can be used to predict the peak proton flux level.. Jonathan Carroll-Nellenback. Center for Integrated Research Computing. University of Rochester. Turbulence Workshop. August 4. th. 2015. Talk Outline. . Introduction to Turbulence in the context of gaseous flows. CSDMS Annual Meeting 2016: Capturing Climate Change (May 17-19, 2016). Zhen Cheng. 1. (Charlie. ), . Tian-Jian. . Hsu. 1. . (Tom. ), . Julien. Chauchat. 2. ,. . Thibaud. Revil-. Baudard. 3. 1. University of Delaware, Newark, DE, 19716, USA. Pawel. . Artymowicz. U of Toronto. MRI turbulence. Some non-MRI turbulence. Roles and the dangers of turbulence. UCSC Santa Cruz 2010. I borrowed some . figures & slides from. X. Wu (2004). R. Nelson (2008). Edwin Kite (U. Chicago), John Armstrong (Weber State), . Robin Wordsworth (Harvard), Francois Forget (LMD) . c. an climate . models. h. elp distinguish. these scenarios?. h. abitable surface. s. terile surface. Conditions in the Field of Wind . Energy. MSc . Thesis Presentation. Robin . Keus. Wednesday, 17 May 2017. Supervisors:. Dr. Ir. W.A.A.M. . Bierbooms. , TU Delft. Drs. J. P. . Coelingh. , . Vattenfall. Rick Curtis. Southwest Airlines Meteorology. ADF – 10/9/18. Turbulence Issues. Many Causes. CAT. Mountain Wave. Convection. Wake. Thermal. Difficult to Forecast. Difficult to Verify. Quiz. Question 1:. Mike . Sumption. , M. . Majoros. , C. Myers, and E.W. Collings. Center . for Superconducting and Magnetic Materials, MSE, The Ohio State University. This . work was supported by the U.S. Department of Energy, Office of Science, Division of High Energy Physics, under Grant DE-SC0011721.. in Arbitrary Domains. Lasse Gilling and Søren R. K. Nielsen. Department of Civil Engineering, Aalborg University, Denmark. Niels N. Sørensen. National Laboratory for Sustainable Energy, Risø-DTU, Denmark. . tokamaks. Michael . Barnes. University . of . Oxford. Culham. Centre for Fusion Energy. F. I. Parra, E. G. . Highcock. , A. A. . Schekochihin. , . S. C. Cowley, and C. M. Roach. Objective. Connor et al. (2004). Chika Kawai,. 1),2). . Shinya Maeyama,. 2). Yasuhiro Idomura,. 2). Yuichi Ogawa. 1). 1). GSFS,Univ. . Tokyo. 2)JAEA. This . work was carried out using the HELIOS supercomputer system at Computational Simulation Centre of International Fusion Energy Research Centre (IFERC-CSC), Aomori, Japan, under the Broader Approach collaboration between .