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
7 papers · 1 filter
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…
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…
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…
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…
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…