Abstract

Abstract. Three long-term temperature data series measured in Portugal were studied to detect and correct non-climatic homogeneity breaks and are now available for future studies of climate variability. Series of monthly minimum (Tmin) and maximum (Tmax) temperatures measured in the three Portuguese meteorological stations of Lisbon (from 1856 to 2008), Coimbra (from 1865 to 2005) and Porto (from 1888 to 2001) were studied to detect and correct non-climatic breaks. These series, together with monthly series of average temperature (Taver) and temperature range (DTR) derived from them, were tested in order to detect breaks, using firstly metadata, secondly a visual analysis, and thirdly four widely used homogeneity tests: von Neumann ratio test, Buishand test, standard normal homogeneity test, and Pettitt test. The homogeneity tests were used in absolute (using temperature series themselves) and relative (using sea-surface temperature anomalies series obtained from HadISST2.0.0.0 close to the Portuguese coast or already corrected temperature series as reference series) modes. We considered the Tmin, Tmax and DTR series as most informative for the detection of breaks due to the fact that Tmin and Tmax could respond differently to changes in position of a thermometer or other changes in the instrument's environment; Taver series have been used mainly as control. The homogeneity tests showed strong inhomogeneity of the original data series, which could have both internal climatic and non-climatic origins. Breaks that were identified by the last three mentioned homogeneity tests were compared with available metadata containing data such as instrument changes, changes in station location and environment, observation procedures, etc. Significant breaks (significance 95% or more) that coincided with known dates of instrumental changes were corrected using standard procedures. It was also noted that some significant breaks, which could not be connected to known dates of any changes in the park of instruments or stations location and environment, were probably caused by large volcanic eruptions. The corrected series were again tested for homogeneity; the corrected series were considered free of non-climatic breaks when the tests of most of monthly series showed no significant (significance 95% or more) breaks that coincide with dates of known instrument changes. Corrected series are now available within the framework of ERA-CLIM FP7 project for future studies of climate variability (doi:10.1594/PANGAEA.785377).

Highlights

  • Long instrumental climatological records assume a paramount role in the studies of variation of the atmospheric conditions

  • It is possible that metadata do not list all changes in the stations’ environments that occurred during the measurements periods; in this study we found no significant breaks that could not be associated to metadata records or other sources

  • The inhomogeneities that are not associated to known dates of instrumental changes could appear due to the internal climatic variations caused by, e.g. major volcanic eruptions

Read more

Summary

Introduction

Long instrumental climatological records assume a paramount role in the studies of variation of the atmospheric conditions. Longterm series often contain inhomogeneities caused by a number of non-climatic factors that could provide unrealistic trends, shifts and jumps (Peterson et al, 1998; Aguilar et al, 2003). These inhomogeneities are originated by changes in instruments, station locations and surrounding environment, observation routines and methods of preliminary data treatment. Any break detected by statistical methods had to be checked against metadata, and if there is a written note that some intervention took place in the station setup at the break date, this break should be considered as non-climatic and (in most cases) be corrected (Peterson et al, 1998; Aguilar et al, 2003). The adjustment value is applied to the inhomogeneous part (part before the break) of the series (Aguilar et al, 2003)

Homogeneity tests
Von Neumann ratio test – non-parametric test
Buishand test – parametric test
Standard normal homogeneity test – likelihood ratio test
Pettitt test – non-parametric rank test
Homogenization procedure
Correction of non-climatic breaks
Volcanic eruptions and their effect on temperature variations
Sea-surface temperature anomalies series
Data description and metadata
Interpolation of the gap from September 1920 to February 1922
Visual analysis
Homogeneity tests results
Preliminary conclusions
Correction procedure
Homogeneity of the corrected series
Conclusions
Findings
Lisbon
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call