Threshold modeling of extreme spatial rainfall

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Headwater streams often experience intermittent flow. Consequently, the flowing drainage network expands and contracts and the flowing drainage density (DD) varies over time. Monitoring the DD dynamics is essential to understand the processes controlling i ...

Objective: Structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). ...

This thesis presents work at the junction of statistics and climate science. We first provide methodology for use by climate scientists when performing fast event attribution using extreme value theory, and then describe two interdisciplinary projects in c ...

The diffusion of energy technologies is key for supporting the energy transition. While social influence and peer effects have been extensively studied on the demand side and found to impact adoption, less focus has been given to the role of information ne ...

Accurately predicting weather and climate in cities is critical for safeguarding human health and strengthening urban resilience. Multimodel evaluations can lead to model improvements; however, there have been no major intercomparisons of urban-focussed la ...

Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo. Large-scale, biophysically detailed models offer a tool which can complement laboratory approaches. We present a m ...

Precipitation in Arizona, USA, represents a fundamental resource for the needs of agriculture, people, and the environment. However, due to the risk associated with flash flooding, extreme precipitation also constitutes a natural hazard. Available research ...

A well-known, previously only 1D, algorithm using the Sparse Representation of Signals and an iterative Block Coordinate Descent method (the SparSpec-1D algorithm) has been further developed and tested in a 2D spatial domain to obtain the toroidal and polo ...

Glacier shrinkage opens new proglacial terrain with pronounced environmental gradients along longitudinal and lateral chronosequences. Despite the environmental harshness of the streams that drain glacier forelands, their benthic biofilms can harbor astoni ...

Episodic autobiographical memories are characterized by a spatial context and an affective component. But how do affective and spatial aspects interact? Does affect modulate the way we encode the spatial context of events? We investigated how one element o ...

Threshold modeling of extreme spatial rainfall

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Short-term dynamics of drainage density based on a combination of channel flow state surveys and water level measurements

Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data

Diffusion of energy technologies: the role and dynamics of supply-side information networks

Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation

Climatological trends of mean and extreme daily precipitation in Arizona (USA)

The SparSpec algorithm and the application to the detection of spatial periodicities in tokamaks: from a 1D to a 2D analysis

Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area

Spatial patterns of benthic biofilm diversity among streams draining proglacial floodplains

Aesthetic experience enhances first-person spatial representation