B
Bernard Daniel Zak
Researcher at Sandia National Laboratories
Publications - 11
Citations - 441
Bernard Daniel Zak is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Arctic & Global warming. The author has an hindex of 6, co-authored 11 publications receiving 413 citations.
Papers
More filters
Journal ArticleDOI
The Mixed-Phase Arctic Cloud Experiment.
Johannes Verlinde,Jerry Y. Harrington,Greg M. McFarquhar,V. T. Yannuzzi,Alexander Avramov,S. D. Greenberg,Nathaniel C. Johnson,Gong Zhang,Michael R. Poellot,J. H. Mather,David D. Turner,Edwin W. Eloranta,Bernard Daniel Zak,Anthony J. Prenni,John S. Daniel,G. L. Kok,David C. Tobin,Robert E. Holz,Kenneth Sassen,Douglas A. Spangenberg,Patrick Minnis,T. Tooman,M. D. Ivey,Scott J. Richardson,C. P. Bahrmann,Matthew D. Shupe,Paul J. DeMott,Andrew J. Heymsfield,Robyn Schofield,Robyn Schofield +29 more
TL;DR: The Mixed-Phase Arctic Cloud Experiment (M-PACE) as mentioned in this paper was conducted on the North Slope of Alaska to collect a data set suitable to study interactions between microphysics, dynamics and radiative transfer in mixed-phase Arctic clouds.
Journal ArticleDOI
The ARM North Slope of Alaska (NSA) Sites
Overview of the Mixed-Phase Arctic Cloud Experiment (M-PACE)
Johannes Verlinde,Jerry Y. Harrington,Greg M. McFarquhar,J. H. Mather,David D. Turner,Bernard Daniel Zak,Michael R. Poellot,T. Tooman,Anthony J. Prenni,Gregory L. Kok,Edwin W. Eloranta,Ann M. Fridlind,C. P. Bahrmann,Kenneth Sassen,Paul J. DeMott,Andrew J. Heymsfield +15 more
TL;DR: The Mixed-Phase Arctic Cloud Experiment (M-PACE) as discussed by the authors was conducted on the North Slope of Alaska from September 27 through October 22, 2004 to collect a data set suitable to study interactions between microphysics, dynamics and radiative transfer in mixed-phase Arctic clouds.
Journal ArticleDOI
The Atmospheric and Terrestrial Mobile Laboratory (ATML).
Bernard Daniel Zak,Thom Rahn,Kim Nitschke,Mark D. Ivey,Claudia I. Mora,Nate G. McDowell,Steve Love,M. K. Dubey,Hope A. Michelsen,Tom Guilderson,William Kent Schubert,Keeley Costigan,Petr Chylek,Ray P. Bambha,John K. Roskovensky +14 more
TL;DR: In this paper, the ionospheric disturbance dynamo signature in geomagnetic variations is investigated using the National Center for Atmospheric Research Thermosphere-Ionosphere-Electrodynamics General Circulation Model.
Journal ArticleDOI
Predicting atmospheric debris transport in real-time using a trajectory forecast model
Jonathan D. W. Kahl,Russell C. Schnell,Patrick J. Sheridan,Bernard Daniel Zak,Hugh W. Church,Allen S. Mason,Jerome L. Heffter,Joyce M. Harris +7 more
TL;DR: In this paper, a trajectory forecast model was used in real-time to estimate the transport of debris associated with a large chemical explosion in the southwestern U.S. The forecast trajectories were used to vector sampling aircraft into a position favorable for intersecting the debris cloud.