Climate Data Homogenization

Examples of Inhomogeneities in Climate Datasets

The examples, which are described in this pdf file, are contributed by experts from different parts of the world. They illustrate the main causes of, and possible impacts on climate trend analyses from, inhomogeneities in climate datasets. Many approaches and statistical techniques have been developed for detecting the inhomogeneities and adjusting climate datasets but further research is still required to fully address this difficult issue. For example, observations are often taken for forecasting purposes and not for long-term climate monitoring. Changes in instruments and in observing procedures may have made the observations easier or more accurate, they may have also generated artificial biases in the long-term time series.

Last updated 2020-10-06