Workflow for the homogenisation of climate data using geostatistical simulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationInternational Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
Pages921-929
Number of pages9
Volume1
Publication statusPublished - 2015

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Time series
climate
simulation
discontinuity
time series
method
document

Keywords

  • Climate data
  • Geostatistics
  • Homogenisation
  • Software

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)
Caineta, Júlio ; Ribeiro, Sara ; Soares, Amílcar ; Costa, Ana Cristina. / Workflow for the homogenisation of climate data using geostatistical simulation. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Vol. 1 2015. pp. 921-929
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Caineta, J, Ribeiro, S, Soares, A & Costa, AC 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.

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 proceedingConference contribution

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Caineta J, Ribeiro S, Soares A, Costa AC. Workflow for the homogenisation of climate data using geostatistical simulation. In International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Vol. 1. 2015. p. 921-929