Marco Guerrini results 14
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This preliminary study introduces the Standardised Windstorm Index (SWI), a novel tool designed to quantify the impact of extreme wind events in different geographical regions. The SWI is developed by first fitting the Weibull distribution to daily maximum wind speed data, followed by an inverse normal transformation to obtain a standardised index. This method enhances the accuracy of extreme wind event detection compared to c...
Identifying climate extremes in Southern Africa through advanced bias correction of climate projectionsNARA Subscribed
This study presents a novel bias correction methodology for enhancing the reliability of climate projections, particularly in regions vulnerable to climate change impacts, such as the Southern African Development Community (SADC). This methodology is here applied jointly with a downscaling method to correct systematic distributional biases and refine the spatial resolution of climate model outputs, with the aim of improving th...
Ireland and the UK possess vast ocean energy resources within their respective maritime areas. However, not all offshore areas are suitable for deployment of ocean energy devices. This article describes the development of a multitude of geospatial data relating to ocean energy site suitability, as well as a Web-GIS tool for hosting and performing analysis on this data. A validation of wave, water depth and seabed character dat...
With increasing urban expansion and population growth, coastal urban areas will be increasingly affected by climate change impacts such as extreme storm events, sea level rise and coastal flooding. To address coastal inundation risk for impact studies, integrated approaches accounting for flood hazard modelling, exposure and vulnerability of human and environmental systems are crucial. In this study, we model the impacts of se...
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severityNARA Subscribed
The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the pr...
Full‐scale shake‐table tests on two unreinforced masonry cavity‐wall buildings: effect of an innovative timber retrofitNARA Subscribed
Two full-scale building specimens were tested on the shake-table at the EUCENTRE Foundation laboratories in Pavia (Italy), to assess the effectiveness of an innovative timber retrofit solution, within a comprehensive research campaign on the seismic vulnerability of existing Dutch unreinforced masonry structures. The buildings represented the end-unit of a two-storey terraced house typical of the North-Eastern Netherlands, a r...
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