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Underwater HOA Monthly Meeting – June 3rd
June 3, 2020 @ 7:00 pm - 8:00 pm
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On Wednesday, June 3rd at 7pm, the Underwater HOA will be hosting its second virtual meeting of the year.
Join us for an ongoing discussion with this month’s featured speaker, Dr. Ben Kirtman, Professor of Atmospheric Sciences, as we explore how historical data and technologies are allowing experts in the field to better understand shifts in climate patterns and make more accurate predictions. We will also explore ways to participate in one of two Underwater HOA subcommittee workshops: Pinecrest UHOA or Engagement & Programming.
Pinecrest UHOA Chapter, chaired by Dr. Brian Haus
Engagement & Programming, chaired by Cortada Projects Director Adam Roberti
Dr. Ben Kirtman
Professor, Atmospheric Sciences
Ben Kirtman is a Professor of Atmospheric Sciences at the University of Miami’s Rosenstiel School of Marine and Atmospheric Science. He uses atmosphere-ocean general circulation models to study the predictability and variability of the Earth’s climate system.
Kirtman’s research is a wide-ranging program designed to understand and quantify the limits of climate predictability from days to decades. His research also involves understanding how the climate will change in response to changes in anthropogenic (e.g., greenhouse gases) and natural (e.g., volcanoes) forcing. This research involves hypothesis testing numerical experiments, using sophisticated state-of-the-art climate models and experimental realtime prediction. His group uses and has access to a suite of climate models, climate data, and high performance computational platforms.
Kirtman received his B.S. in Applied Mathematics from the University of California-San Diego and his M.S. and Ph.D. from the University of Maryland-College Park. He was a Research Scientist at the Center for Ocean-LandAtmosphere Studies and a tenured Associate Professor at George Mason University before joining the Rosenstiel School in 2007. Kirtman has published over 100 peer-reviewed papers focused on understanding the variability of the climate system on time scales from days to decades.