Spatiotemporal modelling of extreme wildfires and severe thunderstorm environments

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Aerosol forcing uncertainty represents the largest climate forcing uncertainty overall. Its magnitude has remained virtually undiminished over the past 20 years despite considerable advances in understanding most of the key contributing elements. Recent wo ...

In ice-covered lakes, near-bottom oxygen concentration decreases for most of the wintertime, sometimes down to the point that bottom waters become hypoxic. Studies insofar have reached divergent conclusions on whether climate change limits or reinforces th ...

Polar sciences are crucial to understand the effects of climate change. 6 out of 9 eco-tipping points identified by the IPCC are situated in the polar regions. Potential rising sea levels, altered weather patterns and changes in sea-currents are all connec ...

This paper analyzes the findings obtained when applying a multi-criteria performance-based method for sizing a BIPV installation considering different weather files, representing historical data (TMY; typical meteorological year) and prospective data (thre ...

The Paris agreement is the first-ever universally accepted and legally binding agreement on global climate change. It is a bridge between today’s and climate-neutrality policies and strategies before the end of the century. However, government and private ...

As the climate warms, increasing heat-related health risks are expected, and can be exacerbated by the urban heat island (UHI) effect. UHIs can also offer protection against cold weather, but a clear quantification of their impacts on human health across d ...

The high-impact nature and increasing occurrence of severe weather phenomena pushes forward research on their occurrence and improving our understanding thereof. Supercell thunderstorms are the focus of much severe convective research, as they represent on ...

Large-scale multivariate regression is a fundamental statistical tool with a wide range of applications. This study considers the problem of simultaneously testing a large number of general linear hypotheses, encompassing covariate-effect analysis, analysi ...

Accurately representing mixed-phase clouds (MPCs) in global climate models (GCMs) is critical for capturing climate sensitivity and Arctic amplification. Secondary ice production (SIP), can significantly increase ice crystal number concentration (ICNC) in ...

Satellite-based retrievals of tropospheric NO(2)columns are widely used to infer NOx (equivalent to NO + NO2) emissions. These retrievals rely on model information for the vertical distribution of NO2. The free tropospheric background above 2 km is particu ...

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 ...

Spatiotemporal modelling of extreme wildfires and severe thunderstorm environments

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Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within-The-Atmosphere Observations: A Three-Way Street

Near-bed stratification controls bottom hypoxia in ice-covered alpine lakes

Synthesis Report on the Environmental Impacts of Polar Research and Logistics in the Polar Regions

Influence of future climate scenarios on the sizing of Building-Integrated Photovoltaics (BIPV) installations. Case study of a new research-center building in Switzerland

Integration of Life Cycle Impact Assessment in Energy System Modelling

Economic valuation of temperature-related mortality attributed to urban heat islands in European cities

Supercell Thunderstorms in the Alpine Region - From Weather Radar Observations to Idealized Modeling

LARGE-SCALE INFERENCE OF MULTIVARIATE REGRESSION FOR HEAVY-TAILED AND ASYMMETRIC DATA

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements

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