Enric Aguilar

TL;DR: A suite of climate change indices derived from daily temperature and precipitation data, with a primary focus on extreme events, were computed and analyzed as discussed by the authors, and the results showed widespread significant changes in temperature extremes associated with warming.

TL;DR: In this paper, the authors presented the collation and analysis of the gridded land-based dataset of indices of temperature and precipitation extremes: HadEX2, which was calculated based on station data using a consistent approach recommended by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices.

TL;DR: A regional climate change workshop was held in Guatemala with the goal of analyzing how climate extremes had changed in the region as discussed by the authors, where scientists from Central America and northern South America brought long-term daily temperature and precipitation time series from meteorological stations in their countries to the workshop.

TL;DR: A recent climate change workshop for the Middle East brought together scientists and data for the region to produce the first area-wide analysis of climate extremes as mentioned in this paper, which showed that there have been statistically significant, spatially coherent trends in temperature indices that are related to temperature increases in the region.

TL;DR: Based on daily maximum and minimum surface air temperature and precipitation records at 303 meteorological stations in China, the spatial and temporal distributions of indices of climate extremes are analyzed during 1961-2003 as discussed by the authors.