Home » Events » Seminars » Seminar Details

Seminar Details

Big Data, Very Big Computers, and the Endless Pursuit for an Honest Weather Prediction System.

Jonathan Poterjoy

Assistant Professor, UMD

Time: November 22, 2019 @ 3:30 PM
Location: 218 Pearson Hall

Data assimilation is an exciting field of study with many domains. Given the principle objective of combining real-world measurements with a priori information for a dynamical system, numerous applications can be found in medicine, biology, engineering, economics, and of course geophysics. Data assimilation is also a significant component of any atmospheric prediction system, which encompasses a broad spectrum of activities ranging from chemical constituent modeling to synoptic-scale weather forecasting. This seminar will focus on recent research with particle filters, which are Monte Carlo data assimilation methods that have intrinsic advantages for nonlinear dynamical systems – but contain obstacles for high-dimensional systems with ill-characterized uncertainty. Overcoming such obstacles may shed new light on outstanding problems related to the prediction of extreme weather events such as severe convective storms and tropical cyclones.

View Flyer

Our Mission

The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.