Scheduling of Twin Telescopes and the Impact on Troposphere and UT1 Estimation

Recently, several VGOS twin telescopes in\ua0Europe were completed.We examine the use of VGOS\ua0twin telescopes by a new scheduling approach. This approach\ua0is based on integer linear programming and creates\ua0uniform distributed observations over time. Several\ua0VLBI intensive sessions are rescheduled involving\ua0the VGOS twin telescopes and the impact on the troposphere\ua0and UT1 estimation is investigated

Climate Change and Modelling of Extreme Temperatures in Switzerland

This study models maximum temperatures in Switzerland monitored in twelve locations using the Generalised Extreme Value (GEV) distribution. The parameters of the GEV distribution are determined within a Bayesian framework. We find that the parameters of the underlying distribution underwent a substantial change in the beginning of the 1980s. This change is characterised by an increase both in the level and the variability. We assess the likelihood of a heat wave of the Summer of 2003 using the fitted GEV distribution by accounting for the presence of a structural break. The estimation results do suggest that the heat wave of 2003 appears not that statistically improbable event as it is generally accepted in the relevant literature.Climate change, GEV, Bayesian modelling, Great Alpine Heat Wave

A typology for analysing mitigation and adaptation win-win strategies

A sustainability transition in line with achieving global climate goals requires the implementation of win-win strategies (WWS), i.e. socioeconomic activities that enable economic gains while simultaneously contributing to climate change mitigation or adaptation measures. Such strategies are discussed in a variety of scientific communities, such as sustainability science, industrial ecology and symbiosis and circular economy. However, existing analyses of win-win strategies tend to take a systems perspective, while paying less attention to the specific actors and activities, or their interconnections, which are implicated in win-win strategies. Moreover, they hardly address adaptation WWS. To address these gaps and support the identification and enhancement of WWS for entrepreneurs and policy-makers, we propose a typology of WWS based on the concept of a value-consumption chain, which typically connects several producers with at least one consumer of a good or service. A consideration of these connections allows an evaluation of economic effects in a meso-economic perspective. We distinguish 34 different types of WWS of companies, households and the state, for which 23 real-world examples are identified. Further, contrary to prevailing views on the lack of a business case for adaptation, we do identify real-world adaptation WWS, though they remain underrepresented compared with mitigation WWS. Our typology can be used as an entry point for transdisciplinary research integrating assessment of individual transformative socioeconomic activities and highly aggregated approaches assessing, e.g. the macro-economic effects of WWS.Horizon 2020 Framework Programme ()Peer Reviewe

The Financial Crisis and the Systemic Failure of Academic Economics

The economics profession appears to have been unaware of the long build-up to the current worldwide financial crisis and to have significantly underestimated its dimensions once it started to unfold. In our view, this lack of understanding is due to a misallocation of research efforts in economics. We trace the deeper roots of this failure to the profession’s focus on models that, by design, disregard key elements driving outcomes in real-world markets. The economics profession has failed in communicating the limitations, weaknesses, and even dangers of its preferred models to the public. This state of affairs makes clear the need for a major reorientation of focus in the research economists undertake, as well as for the establishment of an ethical code that would ask economists to understand and communicate the limitations and potential misuses of their models.financial crisis, academic moral hazard, ethic responsibility of researchers

The Financial Crisis and the Systemic Failure of Academic Economics

The economics profession appears to have been unaware of the long build-up to the current worldwide financial crisis and to have significantly underestimated its dimensions once it started to unfold. In our view, this lack of understanding is due to a misallocation of research efforts in economics. We trace the deeper roots of this failure to the profession’s focus on models that, by design, disregard key elements driving outcomes in real-world markets. The economics profession has failed in communicating the limitations, weaknesses, and even dangers of its preferred models to the public. This state of affairs makes clear the need for a major reorientation of focus in the research economists undertake, as well as for the establishment of an ethical code that would ask economists to understand and communicate the limitations and potential misuses of their models.financial crisis; academic moral hazard; ethic responsibility of researchers

Climate change and modelling of extreme temperatures in Switzerland

This study models maximum temperatures in Switzerland monitored in twelve locations using the generalised extreme value (GEV) distribution. The parameters of the GEV distribution are determined within a Bayesian framework. We find that the parameters of the underlying distribution underwent a substantial change in the beginning of the 1980s. This change is characterised by an increase both in the level and the variability. We assess the likelihood of the heat wave of the summer 2003 using the fitted GEV distribution by accounting for the presence of a structural break. The estimation results do suggest that the heat wave of 2003 is not that statistically improbable if an appropriate methodology is used for dealing with nonstationarit

Global Climate Services: A Typology of Global Decisions Influenced by Climate Risk

Climate services are ideally co-developed by scientists and stakeholders working together to identify decisions and user needs. Yet, while climate services have been developed at regional to local scales, relatively little attention has been paid to the global scale. Global climate services involve decisions that rely on climate information from many locations in different world regions, and are increasingly salient. Increasing interconnections in the global financial system and supply chains expose private companies and financial institutions to climate risk in multiple locations in different world regions. Further, multilateral decisions on greenhouse gas emission reduction targets, disaster risk finance or international migration should make use of global scale climate risk assessments. In order to advance global climate service development, we present a typology of decisions relying on global (i.e., non-local) climate risk information. We illustrate each decision type through examples of current practice from the coastal domain drawn from the literature and stakeholder interviews. We identify 8 types of decisions making use of global climate information. At a top-level, we distinguish between “multilateral climate policy decisions,” and “portfolio decisions involving multiple locations.” Multilateral climate policy decisions regard either “mitigation targets” or “multilateral adaptation” decisions. Portfolio decisions regard either “choice of location” or “choice of financial asset” decisions. Choice of location decisions can be further distinguished as to whether they involve “direct climate risks,” “supply chain risks” or “financial network risks.” Our survey of examples shows that global climate service development is more advanced for portfolio decisions taken by companies with experience in climate risk assessment, i.e., (re-)insurers, whereas many multilateral climate policy decisions are at an earlier stage of decision-making. Our typology thus provides an entry-point for global climate service development by pointing to promising research directions for supporting global (non-local) decisions that account for climate risks.Peer Reviewe