Long‐term in situ observations are widely used in a variety of climate analyses.
Unfortunately, most decade‐to century‐scale time series of atmospheric data have been …

Homogeneity tests of long seasonal temperature series from Sweden, Denmark, Finland,
and Norway indicate that homogeneous series are rare and that an abrupt change of the …

The national meteorological institutes in the Nordic countries have produced a
comprehensive dataset of climatic extreme temperatures (monthly mean daily maximum and …

Homogeneity testing is one of the most important analyses in climate-related studies as it
underpins the reliability of any inferences. The effects not directly related with climate are …

Annual, seasonal and monthly variations in precipitation during the period 1911–2011 were
evaluated using spatially interpolated monthly precipitation records at 165 stations with …

A study was made of the climate of Finland during the period since regular organised
meteorological observations were recorded. Special attention was given to the reliability and …

An analysis is made of the adjustments needed to produce three homogeneous data sets,
namely the 1961–1990 mean temperatures in Finland, the North Atlantic Climatolological …

The statistical tests used for the detection and adjustment of homogeneity breaks in climatic
time series are mostly objective. However, subjective decisions on the design of the testing …

It is now well known that inhomogeneities in observations and climate instability have the
common statistical property of producing generally in climatological series abrupt changes …

Abstract Standard Normal Homogeneity Test (SNHT) was applied for the detection of
inhomogeneities in the time series of mean monthly air temperature data for 7 stations in …