264 citations · 904 across the 34 of their papers we have counts for
7 papers · 1 filter
Non-stationarity in Esbjerg sea-level returnlevels: Applications in climate change adaptation
Peter Thejll, Peter Guttorp, Martin Drews +4
Non-stationary time series modelling is applied to long tidal records from Esbjerg, Denmark, and coupled to climate change projections for sea-level and storminess, to produce proj…
Rapid adjustment and post-processing of temperature forecast trajectories
Nina Schuhen, Thordis Thorarinsdottir, Alex Lenkoski
Modern weather forecasts are commonly issued as consistent multi-day forecast trajectories with a time resolution of 1-3 hours. Prior to issuing, statistical post-processing is rou…
Multivariate postprocessing methods for high-dimensional seasonal weather forecasts
Claudio Heinrich, Kristoffer H. Hellton, Alex Lenkoski +1
Seasonal weather forecasts are crucial for long-term planning in many practical situations and skillful forecasts may have substantial economic and humanitarian implications. Curre…
New approach for stochastic downscaling and bias correction of daily mean temperatures to a high-resolution grid
Qifen Yuan, Thordis Thorarinsdottir, Stein Beldring +3
In applications of climate information, coarse-resolution climate projections commonly need to be downscaled to a finer grid. One challenge of this requirement is the modeling of s…
Probabilistic Forecasting of Temporal Trajectories of Regional Power Production - Part 2: Photovoltaic Solar
Thordis Thorarinsdottir, Anders Løland, Alex Lenkoski
We propose a fully probabilistic prediction model for spatially aggregated solar photovoltaic (PV) power production at an hourly time scale with lead times up to several days using…
Probabilistic Forecasting of Temporal Trajectories of Regional Power Production - Part 1: Wind
Thordis Thorarinsdottir, Anders Løland, Alex Lenkoski
Renewable energy sources provide a constantly increasing contribution to the total energy production worldwide. However, the power generation from these sources is highly variable…
Spatial trend analysis of gridded temperature data at varying spatial scales
Ola Haug, Thordis L Thorarinsdottir, Sigrunn H Sørbye +1
Classical assessments of trends in gridded temperature data perform independent evaluations across the grid, thus, ignoring spatial correlations in the trend estimates. In particul…