Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11727
Homogenization of a combined hourly air temperature dataset over Romania
Title: Homogenization of a combined hourly air temperature dataset over Romania
Authors: Dumitrescu, AlexandruCheval, S.Guijarro, José Antonio ORCID RESEARCHERID Autor AEMET
Keywords: Homogenization; Hourly air temperature; R Climatol
Issue Date: 2020
Publisher: Royal Meteorological Society; Wiley
Citation: International Journal of Climatology. 2020, 40(5), p. 2599-2608
Publisher version: https://dx.doi.org/10.1002/joc.6353
Abstract: Daily and sub‐daily homogenization of climate variables have been intensively investigated in the last decades, but to the best of our knowledge, this is the first study on homogenization of hourly temperature in Romania. This paper describes the creation of a homogenized hourly air temperature data set at a country scale by combining data from four independent meteorological networks. The air temperature measurements for the period 2009 and 2017 were obtained from the following networks: Romanian National Meteorological Administration (ANM), National Network for Monitoring Air Quality (RNMCA), Regional Basic Synoptic Network (RBSN), and Meteorological Terminal Aviation Routine Weather Report network (METAR). The climatological limits, persistence, temporal variation (step test), and spatial consistency were the quality control tests used to isolate the errors due to malfunctioning of the temperature sensors, data coding or transmission. The Climatol homogenization method was successfully applied for identifying and correcting any suspicious values. The missing data were filled by considering the similarities between each station and the reference series. Comparing the output with the original data, it is apparent that the removal of the break points, correction and homogenization resulted in a new data set with statistical properties very similar to the raw data, but more reliable for climate research due to the increased homogeneity. Eventually, the procedure can be implemented in operational use for collecting more data from other networks.
Sponsorship : This work was supported by a grant of Ministry of Research and Innovation, Romania, CNCS—UEFISCDI, project number PN‐III‐P1‐1.1‐PD‐2016‐1579, within PNCDI III.
URI: http://hdl.handle.net/20.500.11765/11727
ISSN: 0899-8418
1097-0088
Appears in Collections:Artículos científicos 2019-2021


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