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Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control
(2024)arXivDirect imaging of Earth-like exoplanets is one of the most prominent scientific drivers of the next generation of ground-based telescopes. Typically, Earth-like exoplanets are located at small angular separations from their host stars, making their detection difficult. Consequently, the adaptive optics (AO) system's control algorithm must be carefully designed to distinguish the exoplanet from the residual light produced by the host ...Working Paper -
MoMuCAMS: A new modular platform for boundary layer aerosol and trace gas vertical measurements in extreme environments
(2024)EGUsphereThe Modular Multiplatform Compatible Air Measurement System (MoMuCAMS) is a newly developed in situ aerosol and trace gas measurement payload for lower atmospheric vertical profiling in extreme environments. MoMuCAMS is a multiplatform compatible system, primarily designed to be attached to a helikite, a rugged tethered balloon type that is suitable for operations in cold and windy conditions. The system addresses the need for detailed ...Working Paper -
The impact of decreasing horizontal grid spacing on the simulation of the mountain boundary layer in the hectometric range
(2024)arXivThe horizontal grid spacing of numerical weather prediction models keeps decreasing towards the hectometric range. We perform limited-area simulations with the ICON model across horizontal grid spacings (1 km, 500 m, 250 m, 125 m) in the Inn Valley, Austria, and evaluate the model with observations from the CROSSINN measurement campaign. This allows us to investigate whether increasing the horizontal resolution automatically improves the ...Working Paper -
Digital Health Technologies for Metabolic Disorders in Older Adults: A Scoping Review Protocol
(2024)medRxivIntroduction: Metabolic disorders (type 2 diabetes, insulin resistance, hyperglycemia, obesity, hyperlipidemia, hypertension, nonalcoholic fatty liver disease, and metabolic syndrome) are leading causes of mortality and disability worldwide and disproportionately affect older adults relative to those younger. Digital health technologies (DHTs), such as patient monitoring, digital diagnostics, and digital therapeutics, emerge as promising ...Working Paper -
Compound soil and atmospheric drought events and CO2 fluxes of a mixed deciduous forest: Occurrence, impact, and temporal contribution of main drivers
(2024)EGUsphereWith global warming, forests are facing an increased exposure to compound soil and atmospheric drought (CSAD) events, characterized by low soil water content (SWC) and high vapor pressure deficit (VPD). Such CSAD events trigger responses in both ecosystem and forest floor CO2 fluxes, of which we know little about. In this study, we used multi-year daily and daytime above canopy (18 years; 2005–2022) and daily forest floor (five years; ...Working Paper -
Effect of the 2022 summer drought across forest types in Europe
(2024)EGUsphereForests in Europe experienced record-breaking dry conditions during the 2022 summer. The direction in which various forest types respond to climate extremes during their growing season is contingent upon an array of internal and external factors. These factors include the extent and severity of the extreme conditions and the tree ecophysiological characteristics adapted to environmental cues, which exhibit significant regional variations. ...Working Paper -
Driving towards stability and efficiency
(2024)arXivAutomated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand out as a prevalent form of automation on today's roads, with their time gap settings holding paramount importance. While decreasing the average time headway tends to enhance traffic capacity, it simultaneously raises concerns regarding safety and string stability. ...Working Paper -
Antifragile perimeter control
(2024)arXivThe optimal operation of transportation networks is often susceptible to unexpected disruptions, such as traffic incidents and social events. Many established control strategies rely on mathematical models that struggle to cope with real-world uncertainties, leading to a significant decline in effectiveness when faced with substantial disruptions. While previous research works have dedicated efforts to improving the robustness or resilience ...Working Paper -
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
(2024)arXivRecently, interpretable machine learning has re-explored concept bottleneck models (CBM), comprising step-by-step prediction of the high-level concepts from the raw features and the target variable from the predicted concepts. A compelling advantage of this model class is the user's ability to intervene on the predicted concept values, affecting the model's downstream output. In this work, we introduce a method to perform such concept-based ...Working Paper -
A three-stage model pipeline predicting regional avalanche danger in Switzerland (RAvaFcast v1.0.0): a decision-support tool for operational avalanche forecasting
(2024)EGUsphereDespite the increasing use of physical snow-cover simulations in regional avalanche forecasting, avalanche forecasting is still an expert-based decision-making process. However, recently, it has become possible to obtain fully automated avalanche danger level predictions with satisfying accuracy by combining physically-based snow-cover models with machine learning approaches. These predictions are made at the location of automated weather ...Working Paper