Gentilucci, Matteo, Barbieri, Maurizio, Burt, Peter and D’Aprile, Fabrizio (2018) Preliminary data validation and reconstruction of temperature and precipitation in Central Italy. Geosciences, 8 (6):202. ISSN 2076-3263 (Print), 2076-3263 (Online) (doi:10.3390/geosciences8060202)

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Abstract

This study assesses the method of data validation of temperature and precipitation in Middle Italy. The procedure proposes a method of validation that may be applied worldwide, provided that calibration relative to the respective climate zones is worked out. The method performs data validation by considering that historical time series show different types of errors such as typing, sensor and reading/recording errors. It takes also into account the procedures for data validation as prescribed by the World Meteorological Organization, implementing them with five types of controls: gross error checking, internal consistency check, tolerance test, temporal consistency and spatial consistency. This work contributes to the development of different standardized methodologies for each type of control to validate climate data; it also provides an innovative procedure to reconstruct missing data in absence of reliable reference time series. The outcomes of this method have led to the removal of 375 records (0.02%) of temperature data from 40 weather stations and 1286 records (1.67%) of precipitation data from 118 weather stations.

Item Type:	Article
Additional Information:	© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords:	quality control; validation; reconstruction of missing data; temperature; precipitation
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Natural Resources Institute Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department Faculty of Engineering & Science > Natural Resources Institute > Ecosystem Services Research Group
Related URLs:	Publisher
Last Modified:	17 Jul 2018 11:45
URI:	http://gala.gre.ac.uk/id/eprint/20382

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