Identifying early signals of climate change and latent patterns of meteorological variability requires tools analyzing time series data and multidimensional measures. By focusing on air temperature and precipitation, the present study compares local-scale climate regimes at two sites in Central Italy (urban Rome and a peri-urban cropland 10 km west of Rome), using descriptive and inferential statistics on both variables and a drought index (the Standardized Precipitation Index, hereafter SPI) recorded over the last 60 years (1958−2017). The present work assumes the importance of urban-rural gradients shaping local-scale climate regimes and spatial variability, with differential impacts on individual variables depending on territorial ...
In Italy, during last century the mean annual temperature (Tym) increased by 0.4°C/100 years in Nort...
A comprehensive temporal analysis of precipitation and temperature regimes from 1951 to 2010 has bee...
The Italian monthly temperature (mean, maximum and minimum) and precipitation secular data set was u...
Identifying early signals of climate change and latent patterns of meteorological variability requir...
Identifying early signals of climate change and latent patterns of meteorological variability requir...
Identifying signals of climate change and increased meteorological variability requires analytical t...
none2In the current study trends in precipitation and temperatures recorded during the last century ...
The Urban Heat Island (UHI) phenomenon prevalently concerns industrialized countries. It consists of...
Climate has always been studied in cities, where strong relations can be found with urban form and s...
Agriculture is highly exposed to climate change, as farming activities directly depend on climatic ...
The objective of this paper is to understand spatial climate change in relation to temperature and p...
Climate has always been studied in cities, where strong relations can be found with urban form and s...
The research progress in building energy modeling and simulation has led to the widespread diffusion...
This study presents a trend analysis of a two-decade (2000–2020) series of surface meteorological an...
A comprehensive diachronic analysis (1951–2010) of precipitation and temperature regimes has been ca...
In Italy, during last century the mean annual temperature (Tym) increased by 0.4°C/100 years in Nort...
A comprehensive temporal analysis of precipitation and temperature regimes from 1951 to 2010 has bee...
The Italian monthly temperature (mean, maximum and minimum) and precipitation secular data set was u...
Identifying early signals of climate change and latent patterns of meteorological variability requir...
Identifying early signals of climate change and latent patterns of meteorological variability requir...
Identifying signals of climate change and increased meteorological variability requires analytical t...
none2In the current study trends in precipitation and temperatures recorded during the last century ...
The Urban Heat Island (UHI) phenomenon prevalently concerns industrialized countries. It consists of...
Climate has always been studied in cities, where strong relations can be found with urban form and s...
Agriculture is highly exposed to climate change, as farming activities directly depend on climatic ...
The objective of this paper is to understand spatial climate change in relation to temperature and p...
Climate has always been studied in cities, where strong relations can be found with urban form and s...
The research progress in building energy modeling and simulation has led to the widespread diffusion...
This study presents a trend analysis of a two-decade (2000–2020) series of surface meteorological an...
A comprehensive diachronic analysis (1951–2010) of precipitation and temperature regimes has been ca...
In Italy, during last century the mean annual temperature (Tym) increased by 0.4°C/100 years in Nort...
A comprehensive temporal analysis of precipitation and temperature regimes from 1951 to 2010 has bee...
The Italian monthly temperature (mean, maximum and minimum) and precipitation secular data set was u...