Deep Learning Regional Climate Model Emulators: A Comparison of Two Downscaling Training Frameworks
status: published
Direct and indirect application of univariate and multivariate biascorrections on heat-stress indices based on multiple ...
Statistical bias correction (BC) is a widely used tool topost-process climate model biases in heat-stress impact studies, which areoften based on the indices calculated from multiple dependent variables.This study compares four BC methods (three univariate and one multivariate)with two correction strategies (direct and indirect) for adjusting twohe...
Statistical characterization of rainfall fields based upon a 12-year high-resolution radar archive of Belgium
status: published
The mechanism of hydride formation during electrochemical hydrogen charging of Ti-6Al-4V
Air-stagnation episodes based on regional climate models part I : evaluation over Europe
Estimating the impact of climate change and emission scenarios on air pollution can be done using regional climate models (RCMs). Climate uncertainties are commonly estimated using RCM ensembles such as provided by EURO-CORDEX. Despite the strong relations between the weather and air pollutants, interactions are usually complex and require meteorol...
Identical hierarchy of physical drought types for climate change signals and uncertainty
Climate change may have different impacts on different types of drought through its influence on the mechanisms of the propagation of a precipitation lack into a hydrological or agricultural drought. The involvement of additional processes in runoff and soil moisture modeling potentially leads to discrepancies in the projection uncertainties and si...
Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021
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In July 2021 extreme rainfall across Western Europe caused severe flooding and substantial impacts, including over 200 fatalities and extensive infrastructure damage within Germany and the Benelux countries. After the event, a hydrological assessment and a probabilistic event attribution analysis of rainfall data were initiated and complemented by ...
Midterm change in rainfall distribution in north and central Benin : implications for agricultural decision making
A better understanding of rainfall variability and trends is vital for agricultural production systems which are largely dependent on climate. This study aims to analyze and to quantify the significance of change on annual, seasonal and daily rainfall in North and Central Benin, and to infer future challenges for crop production. Daily rainfall dat...
Recovery of tungsten and titanium from spent SCR catalyst by sulfuric acid leaching process
The widespread use of selective catalytic reduction (SCR) catalysts has resulted in a large accumulation of spent SCR catalysts. These spent catalysts present a significant risk of environmental hazards and potential for resource recovery. This paper presents a feasible process, which works using atmospheric pressure leaching, of tungsten and titan...
Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps libra...
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Flash flood early warning requires accurate rainfall forecasts with a high spatial and temporal resolution. As the first few hours ahead are already not sufficiently well captured by the rainfall forecasts of numerical weather prediction (NWP) models, radar rainfall nowcasting can provide an alternative. Because this observation-based method quickl...
