We study high-resolution climate variability through the analysis of tree-rings and other palaeoclimate archives at regional to global scales. Instrumental climate data are evaluated and used for the calibration of these archives to reconstruct climate over the past couple hundred to thousand years. We teach introductory and methodological courses on climatology with emphasis on spatial patterns and long-term changes of climate and ecological variability.


Although villages are usually considered part of the rural area and thus free of urban heat island (UHI) effects, a temperature sensor network of high temporal and spatial resolution in the Spanish village Tivissa proofs the contrary. Since the meteorological station within the village has been relocated several times in the course of its history, the >100y long record is likely biased by this anthropogenic impact. In order to correct the record, we assessed the seasonal UHI intensities in Tmin and Tmax for every historical measuring site by comparing them to a rural reference (Fig 1). Removing this warm bias resulted in rising trends in the corrected Tmin dataset regardless of the season, with the strongest effect (0.1K / 10y) in spring and winter (Fig. 2). For Tmax, trends were slightly reduced by the adjustment, except for wintertime.

Dienst et al. (2019): Detection and elimination of UHI effects in long temperature records from villages – A case study from Tivissa, Spain. Urban Climate 27, 372-383.


Fig. 1



Fig. 2