Raw ensemble forecasts display large errors in predicting precipitation amounts and its forecast uncertainty, especially in mountainous regions where local e.ects are often not captured. Therefore, statistical post-processing is typically applied to obtain automatically corrected weather...

Flexible spatio-temporal models are widely used to create reliable and accurate estimates for precipitation climatologies. Most models are based on square root transformed monthly or annual means, where a normal distribution seems to be appropriate. This assumption becomes invalid on a daily...

To post-process ensemble predictions to a particular location, often statistical methods are used, especially in complex terrain such as the Alps. When expanded to several stations, the post-processing has to be repeated at every station individually thus losing information about spatial...

Probabilistic forecasts provided by numerical ensemble prediction systems have systematic errors and are typically underdispersive. This is especially true over complex topography with extensive terrain induced small-scale effects which cannot be resolved by the ensemble system. To alleviate...

Near real-time monitoring of ecosystem disturbances is critical for addressing impacts on carbon dynamics, biodiversity, and socio-ecological processes. Satellite remote sensing enables cost-effective and accurate monitoring at frequent time steps over large areas. Yet, generic methods to detect...

We investigate if people exploit moral wiggle room in green markets when revelation is stochastic and the revealed information is potentially erroneous. In our laboratory experiment, subjects purchase products associated with co-benefits represented as a contribution to carbon offsets purchased...

We investigate if decision makers exploit moral wiggle room in green market settings. We therefore implement a laboratory experiment in which subjects purchase products associated with externalities. In six between-subjects treatments, we alter the availability of information on the...

We experimentally examine the effect of self-serving information avoidance on democratic and individual decisions in the context of climate change mitigation. Subjects need to choose between two allocations which differ in own payoffs and contributions to carbon offsets. In a between-subjects...

We conducted a randomized controlled trial in a lab and natural setting to investigate whether exposure to nature leads people to behave more pro-environmentally. We further investigated whether attention restoration mediates this effect. Participants were randomly assigned to one of four...