Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM |
| Pages | 921-929 |
| Number of pages | 9 |
| Volume | 1 |
| Publication status | Published - 2015 |
Keywords
- Climate data
- Geostatistics
- Homogenisation
- Software
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Cite this
Caineta, J., Ribeiro, S., Soares, A., & Costa, A. C. (2015). Workflow for the homogenisation of climate data using geostatistical simulation. In International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM (Vol. 1, pp. 921-929)