Reacción a "Hot days could last four hours longer by the end of the century under a high-emissions scenario"

This study describes episodes of extreme heat using both observational and model-based hourly data, in contrast to most studies carried out to date, which use data on average daily temperatures and daily maximum or minimum temperatures. This higher temporal resolution reveals new ‘peaks’ of extreme heat on an hourly scale which, until now, had gone unnoticed due to the use of daily data.

The use of hourly data, as done in this study to analyse extreme heat events, is equally relevant for other climatological variables such as precipitation, wind, etc. The analysis of the consequences of heavy rainfall, in the form of flash floods or flooding, is clearly not the same whether we use hourly data or aggregate it on a daily basis. Whilst daily data smooth out precipitation extremes, hourly data – both in observations and in model-based forecasts – reveal peaks of intense precipitation whose impacts are clearly more destructive.

Until relatively recently, weather observations were carried out manually on a daily basis and, consequently, studies and analyses were based exclusively on daily data. The gradual automation of observations has made it possible, as in this study, to begin working with hourly time series, significantly increasing the temporal resolution and revealing meteorological and climatic behaviour at a sub-daily scale. Similarly, the increasing spatial resolution of models and the ability to generate – and, above all, store – hourly simulations allow us to project the behaviour of extreme meteorological variables on an hourly scale, opening up a vast field for exploring climate behaviour on the smallest temporal scales.