PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 1, 1986Journal of Climatology1,866 citations

A homogeneity test applied to precipitation data

View Full Paper
HAHans Alexandersson

Key Points

  • The study aims to develop and apply a homogeneity test to evaluate the reliability of precipitation data.
  • A homogeneity test was designed and applied to precipitation data from south-western Sweden.
  • Ratios between station values and reference values from surrounding stations were calculated.
  • Short and incomplete series were included in the reference value for accuracy.
  • Several non-homogeneities were identified, reflecting significant uncertainty in climatic trend studies.
  • The breaks in data varied between 5 to 25 percent, indicating reliability issues.
  • Relevant climatic normals were highlighted as crucial for accurate anomaly mapping.

Abstract

Abstract In climate research it is important to have access to reliable data which are free from artificial trends or changes. One way of checking the reliability of a climate series is to compare it with surrounding stations. This is the idea behind all tests of the relative homogeneity. Here we will present a simple homogeneity test and apply it to a precipitation data set from south‐western Sweden. More precisely we will apply it to ratios between station values and some reference values. The reference value is a form of a mean value from surrounding stations. It is found valuable to include short and incomplete series in the reference value. The test can be used as an instrument for quality control as far as the mean level of, for instance, precipitation is concerned. In practice it should be used along with the available station history. Several non‐homogeneities are present in these series and probably reflect a serious source of uncertainty in studies of climatic trends and climatic change all over the world. The significant breaks varied from 5 to 25 per cent for this data set. An example illustrates the importance of using relevant climatic normals that refer to the present measurement conditions in constructing maps of anomalies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hans Alexandersson (1986) studied this question.

synapsesocial.com/papers/69d8f9b598a648f070ae2a22https://doi.org/10.1002/joc.3370060607
Ask AI
Helpful
Bookmark
Share
View Full Paper