Big Data Analytics for Long-Term Meteorological Observations at Hanford Site

A growing number of physical objects with embedded sensors with typically high volume and frequently updated data sets has accentuated the need to develop methodologies to extract useful information from big data for supporting decision making. This study applies a suite of data analytics and core principles of data science to characterize near real-time meteorological data with a focus on extreme weather events. To highlight the applicability of this work and make it more accessible from a risk management perspective, a foundation for a software platform with an intuitive Graphical User Interface (GUI) was developed to access and analyze data from a decommissioned nuclear production complex operated by the U.S. Department of Energy (DOE, Richland, USA). Exploratory data analysis (EDA), involving classical non-parametric statistics, and machine learning (ML) techniques, were used to develop statistical summaries and learn characteristic features of key weather patterns and signatures. The new approach and GUI provide key insights into using big data and ML to assist site operation related to safety management strategies for extreme weather events. Specifically, this work offers a practical guide to analyzing long-term meteorological data and highlights the integration of ML and classical statistics to applied risk and decision science.

Endless November? Citizen Beliefs Concerning Wood As A Construction Material Under Extreme Weather Events

Climate change places great pressure on the construction sector to decrease its greenhouse gas emissions and to create solutions that perform well in changing weather conditions. In the urbanizing world, wood construction has been identified as one of the opportunities for mitigating these emissions. Our study explores citizen opinions on wood usage as a building material under expected mitigation and adaptation measures aimed at a changing climate and extreme weather events. The data are founded on an internet-based survey material collected from a consumer panel from Finland and Sweden during May–June 2021, with a total of 2015 responses. By employing exploratory factor analysis, we identified similar belief structures for the two countries, consisting of both positive and negative views on wood construction. In linear regressions for predicting these opinions, the perceived seriousness of climate change was found to increase positive views on wood construction but was insignificant for negative views. Both in Finland and Sweden, higher familiarity with wooden multistory construction was found to connect with more positive opinions on the potential of wood in building, e.g., due to carbon storage properties and material attributes. Our findings underline the potential of wood material use as one avenue of climate change adaptation in the built environment. Future research should study how citizens’ concerns for extreme weather events affect their future material preferences in their everyday living environments, also beyond the Nordic region.

A Review on Connecting Research, Policies and Networking in the Area of Climate-Related Extreme Events in the EU with Highlights of French Case Studies

The increasing severity and frequency of extreme weather and climate events (e.g., floods, heat and cold waves, storms, forest fires) resulting from climate change-compounded vulnerabilities and exposure require a specific research focus. Climate-related extreme events are part of disaster risk reduction policies ruled at international, EU, and national levels, covering various sectors and features such as awareness-raising, prevention, mitigation, preparedness, monitoring and detection, response, and recovery. A wide range of research and technological developments, as well as capacity-building and training projects, has supported the development and implementation of these policies and strategies. In particular, research and innovation actions support the paradigm shift from managing “disasters” to managing “risks” and enhancing resilience needs. In this respect, a huge body of knowledge and technology has been developed in the EU-funded Seventh Framework Programme (2007–2013) and Horizon 2020 (2014–2020), for example in the area of measures and technologies needed to enhance the response capacity to extreme weather and climate events affecting the security of people and assets. In addition, networking initiatives have been developed to connect scientists, policy-makers, practitioners, and industry and civil society representatives in order to boost research uptake, identify gaps, and elaborate research programs at EU level. Research and networking efforts are pursued within the newly starting framework program Horizon Europe (2021–2027), with a focus on supporting civil protection operations. This paper provides a general overview of relevant EU policies and examples of past and developing research in the area of weather and climate extreme events and highlights current networking efforts in this area.