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WORKFLOW FOR THE HOMOGENISATION OF CLIMATE DATA USING GEOSTATISTICAL SIMULATION

Caineta, Julio, Ribeiro, Sara, Soares, Amilcar, Costa, Ana Cristina

First published: 2015https://doi.org/10.5593/sgem2015/b21/s8.118View metrics

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Title
WORKFLOW FOR THE HOMOGENISATION OF CLIMATE DATA USING GEOSTATISTICAL SIMULATION
Authors
Caineta, Julio, Ribeiro, Sara, Soares, Amilcar, Costa, Ana Cristina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
921-932
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References24
  1. Caussinus, H., and Mestre, O., 2004, “Detection and correction of artificial shifts in climate series,” J. R. Stat. Soc. Ser. C (Applied Stat., 53(3), pp. 405–425.

  2. DeGaetano, A. T., 2006, “Attributes of several methods for detecting discontinuities in mean temperature series,” J. Clim., 19(5), pp. 838–853.

  3. Domonkos, P., 2011, “Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods,” Theor. Appl. Climatol., 105 (3), pp. 455–467.

  4. Szentimrey, T., 1999, “Multiple analysis of series for homogenization (MASH),” Proc. Second Semin. Homog. Surf. Climatol. Data.

  5. Soares, A., 2001, “Direct sequential simulation and cosimulation,” Math. Geol., (8), pp. 911–926.

  6. Costa, A., and Soares, A., 2009, “Homogenization of climate data: review and new perspectives using geostatistics,” Math. Geosci., 41(3), pp. 291 –305. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org Section Geoinformatics

  7. Costa, A., Negreiros, J., and Soares, A., 2008, “Identification of inhomogeneities in precipitation t ime series using stochastic simulation,” geoENV VI –Geostatistics Environ. Appl.

  8. Caineta, J., Ribeiro, S., Henriques, R., and Costa, A. C., 2015, “A Package for the Homogenisation of Climate Data Using Geostatistical Simulation,” GEOProcessing 2015, Lisboa, Portugal.

  9. England, E. J., Sparks, A., and Robinson, M. D., 1989, “Geo — EAS (Geostatistical Environmental Assessment Software),” Environ. Softw., 4(2), pp. 70–75.

  10. Venema, V ., and Mestre, O., 2010, “The File Format for COST-HOME,” pp. 1–4.

  11. Caineta, J., Rib eiro, S., Henriques, R., Soares, A., and Costa, A. C., 2014, “Benchmarking a geostatistical procedure for the homogenisation of annual precipitation series,” European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vienna, Austria.

  12. Venema, V . K. C., Mestre, O., Aguilar, E., Auer, I., Guijarro, J. a., Domonkos, P., Vertacnik, G., Szentimrey, T., Stepanek, P., Zahradnicek, P., Viarre, J., Müller - Westermeier, G., Lakatos, M., Williams, C. N., Menne, M. J., Lindau, R., Rasol, D., Rustemeier, E., Kolokythas, K., Marinova, T., Andresen, L., Acquaotta, F., Fratianni, S., Cheval, S., Klancar, M., Brunetti, M., Gruber, C., Prohom Duran, M., Likso, T., Esteban, P., and Brandsma, T., 2012, “Benchmarking homogenization algorithms for monthly data,” Clim. Past, 8 (1), pp. 89–115. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015 International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  13. Caussinus, H., and Mestre, O., 2004, “Detection and correction of artificial shifts in climate series,” J. R. Stat. Soc. Ser. C (Applied Stat., 53(3), pp. 405–425.

  14. DeGaetano, A. T., 2006, “Attributes of several methods for detecting discontinuities in mean temperature series,” J. Clim., 19(5), pp. 838–853.

  15. Domonkos, P., 2011, “Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods,” Theor. Appl. Climatol., 105 (3), pp. 455–467.

  16. Szentimrey, T., 1999, “Multiple analysis of series for homogenization (MASH),” Proc. Second Semin. Homog. Surf. Climatol. Data.

  17. Soares, A., 2001, “Direct sequential simulation and cosimulation,” Math. Geol., (8), pp. 911–926.

  18. Costa, A., and Soares, A., 2009, “Homogenization of climate data: review and new perspectives using geostatistics,” Math. Geosci., 41(3), pp. 291 –305. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org Section Geoinformatics

  19. Costa, A., Negreiros, J., and Soares, A., 2008, “Identification of inhomogeneities in precipitation t ime series using stochastic simulation,” geoENV VI –Geostatistics Environ. Appl.

  20. Caineta, J., Ribeiro, S., Henriques, R., and Costa, A. C., 2015, “A Package for the Homogenisation of Climate Data Using Geostatistical Simulation,” GEOProcessing 2015, Lisboa, Portugal.

  21. England, E. J., Sparks, A., and Robinson, M. D., 1989, “Geo — EAS (Geostatistical Environmental Assessment Software),” Environ. Softw., 4(2), pp. 70–75.

  22. Venema, V ., and Mestre, O., 2010, “The File Format for COST-HOME,” pp. 1–4.

  23. Caineta, J., Rib eiro, S., Henriques, R., Soares, A., and Costa, A. C., 2014, “Benchmarking a geostatistical procedure for the homogenisation of annual precipitation series,” European Geosciences Union General Assembly 2014, Geophysical Research Abstracts, Vienna, Austria.

  24. Venema, V . K. C., Mestre, O., Aguilar, E., Auer, I., Guijarro, J. a., Domonkos, P., Vertacnik, G., Szentimrey, T., Stepanek, P., Zahradnicek, P., Viarre, J., Müller - Westermeier, G., Lakatos, M., Williams, C. N., Menne, M. J., Lindau, R., Rasol, D., Rustemeier, E., Kolokythas, K., Marinova, T., Andresen, L., Acquaotta, F., Fratianni, S., Cheval, S., Klancar, M., Brunetti, M., Gruber, C., Prohom Duran, M., Likso, T., Esteban, P., and Brandsma, T., 2012, “Benchmarking homogenization algorithms for monthly data,” Clim. Past, 8 (1), pp. 89–115. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015 International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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