Metrological evaluation of the effect of the presence of a road on near-surface air temperatures

Graziano Coppa*, Annarosa Quarello, Gert Jan Steeneveld, Nebojša Jandrić, Andrea Merlone

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

With the purpose of revising World Meteorological Organization's Commission for Instruments and Methods of Observation (WMO/CIMO) Guide #8 on weather stations siting, an experiment to evaluate metrologically the maximum influence of a paved road on 2-m air temperature measurements (“road siting effect”) has been designed, installed and run in Italy. It consists of a 100-m long array of seven measurement stations, at increasing distances from a local road, equipped with shielded Pt100 thermometers and ancillary sensors. Data coming from 1 year of observations have been analysed for daily climatological metrics, finding that the road mostly effects minimum temperatures, with average values of ~0.30 ± 0.18 °C at a distance of 1 m; then, in order to quantify the instrumental effect on the measurement, data were filtered by applying a generalized additive model, selecting only times when the effect is more intense (during nights, in presence of low winds coming from the road), and the road siting effect has been calculated by modelling the maximum temperature differences by using extreme values analysis. The 1-year return value on 10-min measurements is 1.22 ± 0.30 °C at 1 m from the road, with a gradual decline (~0.1 °C·m−1), while an extrapolation to 100-year return level gives a value of 1.71 ± 0.79 °C with a decline rate of about 0.17 °C·m−1. This is a first step towards a redefinition of the weather station classification scheme of WMO/CIMO Guide #8, together with building and tree effects experiments which have been run in parallel with the road siting experiment here presented and which will be presented elsewhere.

Original languageEnglish
JournalInternational Journal of Climatology
DOIs
Publication statusE-pub ahead of print - Feb 2021

Keywords

  • air temperature
  • MeteoMet
  • near-surface data
  • siting classification
  • uncertainty
  • WMO

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