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Geosciences 2018, 8(6), 202;

Preliminary Data Validation and Reconstruction of Temperature and Precipitation in Central Italy

School of Sciences and Technologies, University of Camerino, 62032 Camerino, Italy
Department of Earth Sciences, Sapienza University of Rome, 00185 Rome, Italy
Department of Agriculture, Health and Environment, Natural Resources Institute, University of Greenwich at Medway, Chatham, Kent ME4 4TB, UK
CREA, Research Centre for Forest and Wood, 52100 Arezzo, Italy
Author to whom correspondence should be addressed.
Received: 27 March 2018 / Revised: 30 May 2018 / Accepted: 1 June 2018 / Published: 3 June 2018
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This study provides a unique procedure for validating and reconstructing temperature and precipitation data. Although developed from data in Middle Italy, the validation method is intended to be universal, subject to appropriate calibration according to the climate zones analysed. This research is an attempt to create shared applicative procedures that are most of the time only theorized or included in some software without a clear definition of the methods. The purpose is to detect most types of errors according to the procedures for data validation prescribed by the World Meteorological Organization, defining practical operations for each of the five types of data controls: gross error checking, internal consistency check, tolerance test, temporal consistency, and spatial consistency. Temperature and precipitation data over the period 1931–2014 were investigated. The outcomes of this process 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, and 171 data points reconstructed. In conclusion, this work contributes to the development of standardized methodologies to validate climate data and provides an innovative procedure to reconstruct missing data in the absence of reliable reference time series. View Full-Text
Keywords: quality control; validation; reconstruction of missing data; temperature; precipitation quality control; validation; reconstruction of missing data; temperature; precipitation

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Gentilucci, M.; Barbieri, M.; Burt, P.; D’Aprile, F. Preliminary Data Validation and Reconstruction of Temperature and Precipitation in Central Italy. Geosciences 2018, 8, 202.

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