Understanding climate
for the benefit of society

Seminar talk: Simulation, Prediction, and Attribution Study for Tropical Cyclones using GFDL HiFLOR Model

Speaker of this seminar is Hiroyuki Murakami from GFDL

Portrett Murakami
Hiroyuki Murakami

Short biography:

I got a doctorates degree in 2011 at University of Tsuuba in Japan. After 2-year experience as postdoctoral fellow at the University of Hawaii in USA, I joined Geophysical Fluid Dynamics Laboratory (GFDL) in 2014. I am now a physical scientist at GFDL.


Research Interests:

1. Tropical cyclone and tropical meteorology

2. Extreme events and their attribution

3. Climate variability and predictability (seasonal to decadal predictions)

4. Numerical weather prediction



Extremely intense tropical cyclones (TCs), such as major hurricanes, have marked socio-economic impacts. Therefore, developing a global dynamical model that has skill in predicting/simulating intense TCs is highly relevant to society. Here we have developed a new high-resolution 25-km mesh coupled model (HiFLOR) mainly for improving seasonal forecasts of intense TCs. In the first part of the talk, some improvements in TC simulations relative to the low-resolution version (FLOR) and preliminary results will be discussed. Retrospective seasonal predictions of major hurricanes and attribution study for the active 2018 major hurricanes using HiFLOR will be presented. It is highlighted that HiFLOR is a useful tool not only for real-time seasonal predictions of intense TCs, but also for attribution study of active intense TC season even as hurricane season is underway.


Arranged date for the seminar talk: Dec 10, 2019, Jahnebakken 5, lecture room 4020 at 14:15