An exhaustive daily rainfall and extreme air temperature series (1883-2000) was reconstructed for Agnone, a small town in Molise (Central Italy). Long-term analysis identified an increasing trend of 1.3 ± 0.4°C per 100 years, statistically confident at the 95% level, only for minimum air temperature, and of a seasonal march, reasonably stationary along the entire investigated interval, explaining more than 50% of the corresponding monthly variance, with maxima in November and July for rainfall and air temperature, respectively. Daily clustering analysis evidenced scale-invariant properties, largely dependent on the threshold value, for all the investigated parameters
The daily rainfall data collected in the second half of the last century at 31 climatic stations in ...
We present an analysis of seasonal cycle of the last 50 years of records of surface temperature in I...
Most of the recent studies on climate change agree in assessing a positive global trend of the mean ...
An exhaustive daily rainfall and extreme air temperature series (1883-2000) was reconstructed for Ag...
Reliable secular time series of essential climatic variables are a fundamental element for the asses...
Climate changes has become one of the most analysed subjects from researchers community, mainly beca...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
The Italian monthly temperature (mean, maximum and minimum) and precipitation secular data set was u...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
To determine the risk of climate change for agriculture it is necessary to define a set of agrometeo...
Around the mid 1990s, the authors set up a broad-based research program with the aim of better under...
Not AvailableIn an attempt to contribute to studies on global climatic change, 110 years of temperat...
The present research can represent a significant step forward due to the acquisition and analysis of...
ABSTRACT: Precipitation trend analysis, on different spatial and temporal scales, has been of great ...
Since the 18th century systematic measurements of rainfall have been collected in Italy. The daily r...
The daily rainfall data collected in the second half of the last century at 31 climatic stations in ...
We present an analysis of seasonal cycle of the last 50 years of records of surface temperature in I...
Most of the recent studies on climate change agree in assessing a positive global trend of the mean ...
An exhaustive daily rainfall and extreme air temperature series (1883-2000) was reconstructed for Ag...
Reliable secular time series of essential climatic variables are a fundamental element for the asses...
Climate changes has become one of the most analysed subjects from researchers community, mainly beca...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
The Italian monthly temperature (mean, maximum and minimum) and precipitation secular data set was u...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
To determine the risk of climate change for agriculture it is necessary to define a set of agrometeo...
Around the mid 1990s, the authors set up a broad-based research program with the aim of better under...
Not AvailableIn an attempt to contribute to studies on global climatic change, 110 years of temperat...
The present research can represent a significant step forward due to the acquisition and analysis of...
ABSTRACT: Precipitation trend analysis, on different spatial and temporal scales, has been of great ...
Since the 18th century systematic measurements of rainfall have been collected in Italy. The daily r...
The daily rainfall data collected in the second half of the last century at 31 climatic stations in ...
We present an analysis of seasonal cycle of the last 50 years of records of surface temperature in I...
Most of the recent studies on climate change agree in assessing a positive global trend of the mean ...