1 citations · 2 across the 4 of their papers we have counts for
4 papers
Physical Scales Matter: The Role of Receptive Fields and Advection in Satellite-Based Thunderstorm Nowcasting with Convolutional Neural Networks
Christoph Metzl, Kianusch Vahid Yousefnia, Richard Müller +3
The focus of nowcasting development is transitioning from physically motivated advection methods to purely data-driven Machine Learning (ML) approaches. Nevertheless, recent work i…
Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning
Kianusch Vahid Yousefnia, Tobias Bölle, Christoph Metzl
While numerical weather prediction (NWP) models are essential for forecasting thunderstorms hours in advance, NWP uncertainty, which increases with lead time, limits the predictabi…
A minimal model of the deep-convection lifecycle and its verification in remote-sensing observations
Tobias Bölle, Christoph Metzl, Kianusch Vahid Yousefnia
Deep convection is one of the most important atmospheric transport mechanisms and associated with various severe weather phenomena. Manifestations of deep convection in the atmosph…
Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
Kianusch Vahid Yousefnia, Christoph Metzl, Tobias Bölle
Thunderstorms have significant social and economic impacts due to heavy precipitation, hail, lightning, and strong winds, necessitating reliable forecasts. Thunderstorm forecasts b…