HAO Colloquium - Eun-jin Kim, University of Sheffield

Variability, WACCM-EX model, and information length

With improved measurement and modelling technology, variability has emerged as an essential feature in the sun, weather and climate. While traditionally, mean values and variance have been heavily used, they are not appropriate in describing extreme events where a significant deviation from mean values often occurs. Furthermore, stationary Probability Density Function (PDF) miss crucial information about the dynamics associated with variability. It is thus critical to go beyond a traditional approach and deal with time-dependent Probability Density Functions (PDFs). 

In this talk, we show that time-dependent PDFs provide a key insight that is completely missing in any studies using only mean values, variance or stationary PDFs. We further show how to utilize time-dependent PDFs to infer information change associated with time-dependent PDFs by calculating information length (e.g. [1,2]). We will apply these ideas to understand variability in data from the Whole Atmosphere Community Climate Model with thermosphere and ionosphere extension (WACCM-X) including El Nino–Southern Oscillation (ENSO) and the earth atmosphere.

[1]  E. Kim, Investigating information geometry in classical and quantum systems through information length, Entropy 20, 574:1-11 (2018).

[2] S.B. Nicholson and E. Kim, Structures in sound: Analysis of Classical Music Using the Information Length, Entropy 18, 258 (2016).

Date and time: 
Wednesday, March 27, 2019 - 2:00pm to 3:00pm