Publications by Amirhossein Mostajabi

Exploring the portability of ML-based lightning nowcasting models

Marcos Rubinstein, Farhad Rachidi-Haeri, Amirhossein Mostajabi

Significant damages caused by lightning can be avoided by predicting lightning and taking precautionary measures. Here, a machine learning model is developed to nowcast lightning flashes using dew point temperature, precipitation, wind speed, wind directio ...

Elsevier2025

Mountaintop Gamma Ray Observations of Three Terrestrial Gamma‐Ray Flashes at the Säntis Tower, Switzerland With Coincident Radio Waveforms

Marcos Rubinstein, Antonio Sunjerga, Farhad Rachidi-Haeri, Amirhossein Mostajabi

We report on the mountain top observation of three terrestrial gamma-ray flashes (TGFs) that occurred during the summer storm season of 2021. To our knowledge, these are the first TGFs observed in a mountaintop environment and the first published European ...

2024

Lightning Nowcasting Using Solely Lightning Data

Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi

Lightning is directly or indirectly responsible for significant human casualties and property damage worldwide. A timely prediction of its occurrence can enable authorities and the public to take necessary precautionary actions resulting in diminishing the ...

MDPI2023

Portability of Single-Station ML.Based Lightning Nowcasting Models

Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi, Hannes Kohlmann

2023

Laser-guided lightning

Marcos Rubinstein, Antonio Sunjerga, Farhad Rachidi-Haeri, Amirhossein Mostajabi, Jean-Pierre Wolf, Clemens Herkommer, Pierre Walch, Thomas Produit, Victor Moreno

Lightning discharges between charged clouds and the Earth’s surface are responsible for considerable damages and casualties. It is therefore important to develop better protection methods in addition to the traditional Franklin rod. Here we present the fir ...

Nature Publishing Group2023

Laser-guided lightning using kHz filamentation at 1030 nm

Marcos Rubinstein, Antonio Sunjerga, Farhad Rachidi-Haeri, Amirhossein Mostajabi, Jonathan Leon Wolf

Controlling lightning is a long-time dream of mankind. Along with the rapid evolution of laser technologies, the idea to develop lightning protection based on filamentation of high-power ultrashort-pulse lasers emerged in the 1990s [1]. The goal of the Las ...

2023

Machine Learning Based Lightning Nowcasting using Single-Site Meteorological Observations and Lightning Location Systems Data

Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi

2022

On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems

Farhad Rachidi-Haeri, Marcos Rubinstein, Amirhossein Mostajabi, Wolfgang Schulz

Lightning causes significant damage and casualties globally by directly striking humans and livestock, by igniting forest fires, and by inducing electrical surges in electronic infrastructure, airplanes, rockets, etc. Monitoring the evolution of thundersto ...

2022

The Laser Lightning Rod Project

Marcos Rubinstein, Antonio Sunjerga, Mohammad Azadifar, Amirhossein Mostajabi, Jean-Pierre Wolf, Pierre Walch, Thomas Produit, Victor Moreno

2022

Augmenting the performance of impoverished sensor networks using machine learning and time reversal: Application to lightning nowcasting and location

Amirhossein Mostajabi

Lightning is formed in the atmosphere through the combination of intricate dynamic and microphysical processes. Mainly due to this complexity, attempts to solve the important problem of lightning prediction have generally failed to yield accurate results. ...

EPFL2021