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 |
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Keywords
- Climate data
- Geostatistics
- Homogenisation
- Software
Cite this
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Workflow for the homogenisation of climate data using geostatistical simulation. / Caineta, Júlio; Ribeiro, Sara; Soares, Amílcar; Costa, Ana Cristina.
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Vol. 1 2015. p. 921-929.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Workflow for the homogenisation of climate data using geostatistical simulation
AU - Caineta, Júlio
AU - Ribeiro, Sara
AU - Soares, Amílcar
AU - Costa, Ana Cristina
N1 - 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)
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Climate data
KW - Geostatistics
KW - Homogenisation
KW - Software
UR - http://www.scopus.com/inward/record.url?scp=84946600015&partnerID=8YFLogxK
M3 - Conference contribution
VL - 1
SP - 921
EP - 929
BT - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
ER -