@article{JRC32051,
	address = {RESTON (UNITED STATES)},
	year = {2008},
	author = {Claps P and Giordano P and Laguardia G},
	abstract = {Annual and monthly average temperatures are analyzed with statistical methods to characterize the temperature regime in Italy. Data from 738 weather stations, with homogeneous spatial cover throughout Italy, are used to estimate the annual and monthly air temperature normals. Geographic and morphologic parameters, computed around the points of measure, are considered as explicative variables within a georegression model. Morphometric variables are defined using the USGS GTOPO30 digital elevation model, which has a resolution of 1 km. On the basis of a stepwise regression analysis, the significant variables are found to be elevation, latitude, distance from the sea, and a measure of terrain concavity. The relationship between the average annual air temperature and the mentioned variables explains 92% of the variance and produces a standard error of 0.89°C. The temperature regime (normalized mean temperature for each of the 12 months) is reproduced with a two-harmonic Fourier series, with parameters estimated using stepwise regression. Analyses of the reconstruction errors demonstrate that the results are quite satisfactory for many technical purposes, particularly for large-scale climatic characterization.
		
		
		},
	title = {Spatial Distribution of the Average Air Temperatures in Italy: Quantitative Analysis},
	type = {},
	url = {http://ascelibrary.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JHYEFF000013000004000242000001&idtype=cvips&gifs=Yes},
	volume = {13},
	number = {4},
	journal = {JOURNAL OF HYDROLOGIC ENGINEERING},
	pages = {242-249},
	issn = {1084-0699},
	publisher = {ASCE-AMER SOC CIVIL ENGINEERS},
	doi = {10.1061/(ASCE)1084-0699(2008)13:4(242)}