Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies

Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies

The paper presents monthly 30-arc-second-resolution Northern and Central Italy temperature climatologies and discusses the procedure we adopt to superimpose the information of temperature secular records onto these climatologies. The climatologies are obtained by means of a step-wise linear regressi...

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Main Authors: M. Brunetti, G. Lentini, M. Maugeri, T. Nanni, C. Simolo, J. Spinoni
Format: Article
Language:English
Published: Copernicus Publications 2009-04-01
Series:Advances in Science and Research
Online Access:http://www.adv-sci-res.net/3/63/2009/asr-3-63-2009.pdf
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spelling doaj-127a956b4e19403b8272d457e4d162ea2020-11-24T21:51:06ZengCopernicus PublicationsAdvances in Science and Research1992-06281992-06362009-04-0136371Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologiesM. BrunettiG. LentiniM. MaugeriT. NanniC. SimoloJ. SpinoniThe paper presents monthly 30-arc-second-resolution Northern and Central Italy temperature climatologies and discusses the procedure we adopt to superimpose the information of temperature secular records onto these climatologies. The climatologies are obtained by means of a step-wise linear regression method which aims at determining the temperature dependence on geographical and morphological variables. Such a method is applied to a database of about 800 monthly 1961–1990 temperature normals. In the first regression (temperature vs. elevation) the recorded data are considered; the further regressions concern the residuals obtained after taking into account the effect of each variable, in order of importance. An estimated secular anomaly record can be obtained for each point of the climatology grid by means of a distance-weighted average of the temperature anomaly records of the stations surrounding the grid point. http://www.adv-sci-res.net/3/63/2009/asr-3-63-2009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Brunetti
G. Lentini
M. Maugeri
T. Nanni
C. Simolo
J. Spinoni
spellingShingle M. Brunetti
G. Lentini
M. Maugeri
T. Nanni
C. Simolo
J. Spinoni
Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
Advances in Science and Research
author_facet M. Brunetti
G. Lentini
M. Maugeri
T. Nanni
C. Simolo
J. Spinoni
author_sort M. Brunetti
title Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
title_short Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
title_full Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
title_fullStr Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
title_full_unstemmed Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies
title_sort estimating local records for northern and central italy from a sparse secular temperature network and from 1961–1990 climatologies
publisher Copernicus Publications
series Advances in Science and Research
issn 1992-0628
1992-0636
publishDate 2009-04-01
description The paper presents monthly 30-arc-second-resolution Northern and Central Italy temperature climatologies and discusses the procedure we adopt to superimpose the information of temperature secular records onto these climatologies. The climatologies are obtained by means of a step-wise linear regression method which aims at determining the temperature dependence on geographical and morphological variables. Such a method is applied to a database of about 800 monthly 1961–1990 temperature normals. In the first regression (temperature vs. elevation) the recorded data are considered; the further regressions concern the residuals obtained after taking into account the effect of each variable, in order of importance. An estimated secular anomaly record can be obtained for each point of the climatology grid by means of a distance-weighted average of the temperature anomaly records of the stations surrounding the grid point.
url http://www.adv-sci-res.net/3/63/2009/asr-3-63-2009.pdf
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