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Snow covered regions are frequently subjected to strong winds. This leads to the erosion of the snow surface and the occurrence of drifting and blowing snow events. To correctly predict and model these phenomena is of the utmost importance to assess snowpa ...
The climate and weather are modeled by running computer simulations. In a data-driven approach, scientists tailor the simulation to resemble reality (partly through an understanding of the physical processes, partly through their parameterization). With th ...
In Lake Geneva, a deep peri-Alpine lake in Switzerland, the sublacustrine Rhône River delta presents a deep canyon, the Rhône Canyon. Previous studies and recent observations show that low-velocity underflows and high-velocity turbidity currents pass frequ ...
Determining the height of the planetary boundary layer (PBL) is of crucial importance as it is a key parameter in air-quality modelling and weather forecasting. Continuous remote sensing measurements allow to estimate this parameter based on temperature, h ...
Planktothrix rubescens is a harmful planktonic cyanobacterium, forming concentrated metalimnetic populations in deep oligo- and mesotrophic lakes, even after successful restoration. In Lake Zurich (Switzerland), P. rubescens emerged as a keystone species w ...
Switzerland has committed itself to an ambitious energy strategy. It aims to replace the exist- ing nuclear generation capacity with predominantly indigenous renewable resources. Wind power could play a significant role in this transition, yet the wind res ...
The optimization of building envelopes plays a substantial role in reducing global energy consumption and meeting energy and climate targets. Now, a dynamic photovoltaic building envelope has been demonstrated to improve building energy self-sufficiency, w ...
Lightning physics is highly multidisciplinary, involving areas such as plasma physics, electrical engineering, meteorology, thermodynamics and particle physics. Upward lightning is a special type of lightning initiated from tall structures that has attract ...
In the context of the energy transition, the optimization of building envelopes plays a substantial role in reducing global energy consumption and meeting climate targets. Now, a dynamic photovoltaic building envelope has been demonstrated to improve build ...
This work presents the application of a probabilistic approach to an already existing deep learning model for weather and climate prediction. Probabilistic deep learning allows to capture and address the uncertainties related to the data given as input and ...