There are various climate risks that are caused or influenced by climate change. They are known to have a wide range of physical, economic, environmental and social impacts. Apart from damages to the physical environment, many climate risks (climate variability, extreme events and climate-related hazards) are associated with a variety of impacts on human well-being, health, and life-supporting ...

The detection and identification of extreme weather events in large scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system. Recent work has shown that fully supervised convolutional neural networks (CNNs) can yield acceptable accuracy for classifying well-known types of extreme we...

Detecting extreme events in large datasets is a major challenge in climate science research. Current algorithms for extreme event detection are build upon human expertise in defining events based on subjective thresholds of relevant physical variables. Often, multiple competing methods produce vastly different results on the same dataset. Accurate characterization of extreme events in climate s...

an increase, even moderate, in global temperature is expected to result in a change in frequency of extreme weather events like drought, heavy rainfall and storms. the study of extreme events is difficult due to the fact that it is difficult to find long-term homogeneous data series. also the delimitation of extreme events is not univocal since a parameter value that would be defined as an extr...

The United States produces 40% of the world’s corn and soybeans. Given its dominant market share, any effect on US production has global repercussions. Annual fluctuations in yields crucially depend on the occurrence of extreme heat as measured by temperatures that exceed 29C and 30C, respectively. We examine whether the highly subsidized US crop insurance gives farmers a disincentive to use al...

It is now widely acknowledged that climate variability modulates the frequency of extreme hydrological events. Traditional methodologies for hydrologic frequency analysis are not devised to account for variation in the exogenous teleconnections. Flood frequency analysis is further plagued by the assumptions of stationary in the causal structure as well as ergodicity. Here, we propose a dynamica...

The number of hot days and nights very likely has increased globally in recent years, according to a special report 1 focused solely on extreme weather events from the Intergovernmental Panel on Climate Change (IPCC), 2 while the number of cold days has decreased. The future looks similar, the IPCC panel says: If countries continue to increase emissions of carbon dioxide (CO 2)—the greenhouse g...

This paper reviews the empirical literature on the economic impacts of natural disasters to inform both climate adaptation policy and the estimation of potential climate damages. It covers papers that estimate the shortand long-run economic impacts of weather-related extreme events as well as studies regarding the determinants of the magnitude of those damages (including fatalities). The paper ...

Climate change is intensifying the hydrologic cycle and is expected to increase the frequency of extreme wet and dry years. Beyond precipitation amount, extreme wet and dry years may differ in other ways, such as the number of precipitation events, event size, and the time between events. We assessed 1614 long-term (100 year) precipitation records from around the world to identify key attribute...

Climate change is predicted to increase the frequency and intensity of extreme climate events. Tests on empirical data of theory-based predictions on the consequences of extreme climate events are thus necessary to understand the adaptive potential of species and the overarching risks associated with all aspects of climate change. We tested predictions on the genetic and life-history consequenc...