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20102026
most citedPredicting Inflation: Professional Experts Versus No-Change Forecasts

13 citations · 17 across the 15 of their papers we have counts for

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13 papers · 1 filter

stat.AP2026

Flood risk estimation via geometric extremal graphical models

Kristina Grolmusova, Jennifer L. Wadsworth, Thordis L. Thorarinsdottir

We exploit the new framework of multivariate geometric extreme value theory for the statistical analysis of river flow extremes at multiple locations on a river network. Current me…

stat.AP2026

A spatial duration-augmented framework for drought persistence

Touqeer Ahmad, Thordis Linda Thorarinsdottir

Drought monitoring across heterogeneous climate regions requires explicit modeling of drought persistence rather than relying solely on index classification. We develop a Bayesian…

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.AP20241 cited

Applications of machine learning to predict seasonal precipitation for East Africa

Michael Scheuerer, Claudio Heinrich-Mertsching, Titike K. Bahaga +2

Seasonal climate forecasts are commonly based on model runs from fully coupled forecasting systems that use Earth system models to represent interactions between the atmosphere, oc…

stat.AP2021

Assessing present and future risk of water damage using building attributes, meteorology and topography

Claudio Heinrich-Mertsching, Jens Christian Wahl, Alba Ordonez +4

Weather-related risk makes the insurance industry inevitably concerned with climate and climate change. Buildings hit by pluvial flooding is a key manifestation of this risk, givin…

stat.AP2019

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…