36 citations · 83 across the 8 of their papers we have counts for
8 papers
Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data
Isabell Stucke, Deborah Morgenstern, Georg J. Mayr +5
This study investigates lightning at tall objects and evaluates the risk of upward lightning (UL) over the eastern Alps and its surrounding areas. While uncommon, UL poses a threat…
Scalable Estimation for Structured Additive Distributional Regression
Nikolaus Umlauf, Johannes Seiler, Mattias Wetscher +3
Recently, fitting probabilistic models have gained importance in many areas but estimation of such distributional models with very large data sets is a difficult task. In particula…
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology
Isabell Stucke, Deborah Morgenstern, Thorsten Simon +5
Upward lightning (UL) has become an increasingly important threat to wind turbines as ever more of them are being installed for renewably producing electricity. The taller the wind…
Identifying Lightning Processes in ERA5 Soundings with Deep Learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr +1
Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as CAPE, wind shears, charge…
Daily-Resolved Lightning Climatology of the Eastern Alpine Region at the Kilometer Scale
Thorsten Simon, Georg J. Mayr
Lightning flashes are rare albeit hazardous events. Despite this scarcity, generalized additive models (GAMs) succeed in producing a climatology of lightning occurrence for the eas…
Upward Lightning at the Gaisberg Tower: Initiation Mechanism and Flash Type and the Atmospheric Influence
Isabell Stucke, Deborah Morgenstern, Gerhard Diendorfer +5
Upward lightning is much rarer than downward lightning and requires tall (~m) structures to initiate. It may be either triggered by other lightning discharges or completely s…
Cholesky-based multivariate Gaussian regression
Thomas Muschinski, Georg J. Mayr, Thorsten Simon +2
Distributional regression is extended to Gaussian response vectors of dimension greater than two by parameterizing the covariance matrix of the response distribution using the…
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)
Nikolaus Umlauf, Nadja Klein, Thorsten Simon +1
Over the last decades, the challenges in applied regression and in predictive modeling have been changing considerably: (1) More flexible model specifications are needed as big(ger…