The focus of the great majority of climate change impact studies is on changes in mean climate. In terms of climate model output, these changes are more robust than changes in climate variability. By concentrating on changes in climate means, the full impacts of climate change on biological and human systems are probably being seriously underestimated. Here, we briefly review the possible impac...

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 ...

The agricultural sector in Poland is of considerable social and economic importance for the nation. Climate variability and change are of primary relevance to this largely climate-dependent sector. Changes in seven temperature-related agroclimatic indices (lengths of the growing season and of the frost-free season, days of occurrence of the last spring frost and of the first autumn frost; and a...

Forecasts of decadal climate change at subcontinental scales made by global climate models (GCMs) are currently too uncertain to be useful to policy makers. For example, the forecasts of global mean surface temperatures in the current Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions (SRES) A1B scenario show an agreement across 15 models of about ±0.75 K in warming of...

This paper outlines a framework for analysing social vulnerability to the impacts of global warming-induced climate change in the context of an agrarian centrally planned country in transition to a market economy. This approach explicitly highlights the winners and losers in adaptation, based on the concepts of entitlements and social vulnerability. An approach to defining and observing social ...

in this article the relationship between the amount of seasonal rainfall (autumn, winter and spring) and climate indices in iran have been studied. the climate indices (the southern oscillation(soi),the north atlantic oscillation(nao), arctic oscillation(ao),nino 3/4,the multivariate enso index(mei),trans_ nino index(tni) and the pacific decadal oscillation(pdo) are used as independent variable...

Background: Extreme weather and climate events such as super typhoons and unprecedented recorded high intensity rainfall events have increased in recent years due to climate change. Such extreme weather events generate floods and cause loss of life and property. Therefore, efficient strategies and measures for flood mitigation and prevention are essential. Computer-aided techniques can increase...

Extreme events like flooding, droughts and heatwave are among the factors causing huge socio-economic losses to Cameroonians. Investigating potential response of rainfall temperature extremes global warming is therefore critically needed for tailoring adjusting country's policies. Recent datasets have been developed this purpose within Coordinated Output Regional Evaluations (CORDEX-CORE) initi...

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...

We present TECA, a parallel toolkit for detecting extreme events in large climate datasets. Modern climate datasets expose parallelism across a number of dimensions: spatial locations, timesteps and ensemble members. We design TECA to exploit these modes of parallelism and demonstrate a prototype implementation for detecting and tracking three classes of extreme events: tropical cyclones, extra...