Climate data homogenisation is of considerable relevance for a broad range of studies and applications. Discontinuities in the time series may bias the conclusions of those studies, so they should be detected and corrected. This document presents a complete workflow for the homogenisation of climate data, using a process named gsimcli, which is based on a geostatistical simulation method. The devised workflow is illustrated with a benchmark data set. It is expected that this contribution will help technicians, researchers, and other professionals to detect and to correct irregularities in climate data.
|Title of host publication||International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM|
|Number of pages||9|
|Publication status||Published - 2015|
- Climate data