NP5.2
Complex systems science meets machine learning for new approaches to predictions and predictability estimation for geophysical systems

NP5.2

Complex systems science meets machine learning for new approaches to predictions and predictability estimation for geophysical systems
Convener: Alexander Feigin | Co-conveners: Alvaro Corral, Jürgen Kurths, Stéphane Vannitsem
vPICO presentations
| Wed, 28 Apr, 11:00–14:15 (CEST)

vPICO presentations: Wed, 28 Apr

Chairperson: Jürgen Kurths
11:00–11:05
5-minute convener introduction
Connectivity and predictability of geophysical processes
EGU21-4826
|
ECS
Echo-State Networks for Predicting ENSO Beyond One Year
forough hassanibesheli et al.
EGU21-1612
|
ECS
EarthNet2021: Self-supervised impact predictions of extreme weather. | Highlight
Christian Requena Mesa et al.
EGU21-8015
|
ECS
On the predictability of the Madden-Julian Oscillation phase
Riccardo Silini et al.
11:43–12:30
Meet the authors in their breakout text chats
Chairperson: Alexander Feigin
Methods and approaches for geophysical systems' study
EGU21-1561
|
solicited
Reservoir Computing as a Tool for Climate Predictability Studies
Balasubramanya Nadiga
EGU21-8964
|
ECS
A Complex Network approach for studying Tropical Cyclones
Shraddha Gupta et al.
13:59–14:15
Meet the authors in their breakout text chats