activity
20212025
most citedModelling sub-daily precipitation extremes with the blended generalised extreme value distribution

19 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

stat.AP2025

Simulation and evaluation of local daily temperature and precipitation series derived by stochastic downscaling of ERA5 reanalysis

Silius M. Vandeskog, Thordis L. Thorarinsdottir, Alex Lenkoski

Reanalysis products such as the ERA5 reanalysis are commonly used as proxies for observed atmospheric conditions. These products are convenient to use due to their global coverage,…

stat.AP2025★ 3 cited

Adding smoothing splines to the SAM model improves stock assessment

Silius M. Vandeskog, Magne Aldrin, Daniel Howell +1

The stock assessment model SAM contains a large number of age-dependent parameters that must be manually grouped together to obtain robust inference. This can make the model select…

stat.AP2023

Fast spatial simulation of extreme high-resolution radar precipitation data using INLA

Silius M. Vandeskog, Raphaël Huser, Oddbjørn Bruland +1

Aiming to deliver improved precipitation simulations for hydrological impact assessment studies, we develop a methodology for modelling and simulating high-dimensional spatial prec…

stat.ME2022★ 1 cited

An Efficient Workflow for Modelling High-Dimensional Spatial Extremes

Silius M. Vandeskog, Sara Martino, Raphaël Huser

A successful model for high-dimensional spatial extremes should, in principle, be able to describe both weakening extremal dependence at increasing levels and changes in the type o…

stat.AP2021★ 6 cited

Quantile based modelling of diurnal temperature range with the five-parameter lambda distribution

Silius M. Vandeskog, Thordis L. Thorarinsdottir, Ingelin Steinsland +1

Diurnal temperature range is an important variable in climate science that can provide information regarding climate variability and climate change. Changes in diurnal temperature…

stat.AP2021★ 19 cited

Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution

Silius M. Vandeskog, Sara Martino, Daniela Castro-Camilo +1

A new method is proposed for modelling the yearly maxima of sub-daily precipitation, with the aim of producing spatial maps of return level estimates. Yearly precipitation maxima a…