205 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH3 papers
- European Southern ObservatoryCL3 papers
- Astronomy and SpaceAU2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- European Centre for Medium-Range Weather ForecastsGB2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Max Planck Institute for Extraterrestrial PhysicsDE2 papers
- Observatoire astronomique de StrasbourgFR2 papers
- Université de StrasbourgFR2 papers
- Anhui Normal UniversityCN1 paper
- Astronomical ObservatoryRS1 paper
18 papers
Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
Ophélia Miralles, Daniele Nerini, Jonas Bhend +2
Recent advances in neural weather forecasting have shown significant potential for accurate short-term forecasts. However, adapting such gridded approaches to smaller, topographica…
Contrastive Learning for Robust Representations of Neutrino Data
Alex Wilkinson, Radi Radev, Saul Alonso-Monsalve
In neutrino physics, analyses often depend on large simulated datasets, making it essential for models to generalise effectively to real-world detector data. Contrastive learning,…
Differential reflectivity columns and hail -- linking C-band radar-based estimated column characteristics to crowdsourced hail observations in Switzerland
Martin Aregger, Olivia Martius, Urs Germann +1
Differential reflectivity columns (ZDRC) have been shown to provide information about a storm's updraft intensity and size. The updraft's characteristics, in turn, influence a seve…
Quantifying intra-regime weather variability for energy applications
Judith Gerighausen, Joshua Dorrington, Marisol Osman +1
Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather. Subseasonal forec…
HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution
Giulia Roccetti, Luca Bugliaro, Felix Gödde +5
Surface albedo is an important parameter in radiative-transfer simulations of the Earth's system as it is fundamental for correctly calculating the energy budget of the planet. The…
ATCA Study of Small Magellanic Cloud Supernova Remnant 1E 0102.2-7219
Rami Z. E. Alsaberi, M. D. Filipović, S. Dai +29
We present new and archival Australia Telescope Compact Array and Atacama Large Millimeter/submillimeter Array data of the Small Magellanic Cloud supernova remnant 1E 0102.2-7219 a…
A Bayesian Neural Network Approach for Tropospheric Temperature Retrievals from a Lidar Instrument
Ghazal Farhani, Giovanni Martucci, Tyler Roberts +2
We have constructed a Bayesian neural network able of retrieving tropospheric temperature profiles from rotational Raman-scatter measurements of nitrogen and oxygen and applied it…
Dissecting the active galactic nucleus in Circinus IV. MUSE NFM observations unveil a tuning-fork ionised gas morphology
D. Kakkad, M. Stalevski, M. Kishimoto +3
We present the ionised gas outflow morphology in the Circinus galaxy using the Narrow Field Mode (NFM) of the MUSE instrument on board the Very Large Telescope (VLT). The NFM obser…
Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model
Jussi Leinonen, Ulrich Hamann, Ioannis V. Sideris +1
Predictions of thunderstorm-related hazards are needed in several sectors, including first responders, infrastructure management and aviation. To address this need, we present a de…
Seamless lightning nowcasting with recurrent-convolutional deep learning
Jussi Leinonen, Ulrich Hamann, Urs Germann
A deep learning model is presented to nowcast the occurrence of lightning at a five-minute time resolution 60 minutes into the future. The model is based on a recurrent-convolution…
The Black Hole-Galaxy Connection: Interplay between Feedback, Obscuration, and Host Galaxy Substructure
Stéphanie Juneau, Andy D. Goulding, Julie Banfield +20
There is growing evidence for physical influence between supermassive black holes and their host galaxies. We present a case study of nearby galaxy NGC 7582, for which we find evid…
Improvements to short-term weather prediction with recurrent-convolutional networks
Jussi Leinonen
The Weather4cast 2021 competition gave the participants a task of predicting the time evolution of two-dimensional fields of satellite-based meteorological data. This paper describ…
LBV phenomenon and binarity: The environment of HR Car
A. Mehner, S. Janssens, C. Agliozzo +7
Luminous blue variable stars (LBVs) are of great interest in massive-star evolution as they experience very high mass-loss episodes within short periods of time. HR Car is a famous…
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network
Jussi Leinonen, Daniele Nerini, Alexis Berne
Generative adversarial networks (GANs) have been recently adopted for super-resolution, an application closely related to what is referred to as "downscaling" in the atmospheric sc…
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…
Statistical post-processing of hydrological forecasts using Bayesian model averaging
Sándor Baran, Stephan Hemri, Mehrez El Ayari
Accurate and reliable probabilistic forecasts of hydrological quantities like runoff or water level are beneficial to various areas of society. Probabilistic state-of-the-art hydro…
Reproducible Floating-Point Aggregation in RDBMSs
Ingo Müller, Andrea Arteaga, Torsten Hoefler +1
Industry-grade database systems are expected to produce the same result if the same query is repeatedly run on the same input. However, the numerous sources of non-determinism in m…
A local ensemble transform Kalman particle filter for convective scale data assimilation
Sylvain Robert, Daniel Leuenberger, Hans R. Künsch
Ensemble data assimilation methods such as the Ensemble Kalman Filter (EnKF) are a key component of probabilistic weather forecasting. They represent the uncertainty in the initial…