Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set

Detalhes bibliográficos
Autor(a) principal: Caceres, Julia Desiree Velastegui
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/34211
Resumo: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data setDirect Sequential SimulationGeostatistical SimulationHomogenizationGSIMCLISimulated temperature dataDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesHistorical climate records are relevant since they provide significant information in different environmental studies. However, few climate records are free of non-natural irregularities that imply a problem in the quality of climate data. Considering this problem, many methods have been developed to homogenize climate data. The present project focused on the evaluation of the GSIMCLI (geostatistical simulation for the homogenization of climate data) homogenization method, which is based on a geostatistical stochastic approach, the direct sequential simulation (DSS). The GSIMCLI method was used to homogenize simulated monthly temperature data. This project also included the study of different alternatives for the modelling of the empirical variogram that is part of the parameters in the DSS algorithm. The efficiency of the method was assessed through the calculation of performance metrics, in order to be compared with other homogenization procedures. The literature review on variography was a relevant contribution for the challenging task of modelling small networks’ data. Nonetheless, the results provide evidence that the artificial data of the benchmark data set used lacks a spatial autocorrelation structure. Hence, it was not surprising that GSIMCLI underperformed other homogenization methods. Annual temperature data sets achieved better homogenization results than monthly data sets.Costa, Ana Cristina Marinho daRibeiro, Sara Cristina da SilvaMateu Mahiques, JorgeRUNCaceres, Julia Desiree Velastegui2018-04-10T12:23:39Z2017-03-012017-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/34211TID:201895994enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:44Zoai:run.unl.pt:10362/34211Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:08.268008Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
title Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
spellingShingle Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
Caceres, Julia Desiree Velastegui
Direct Sequential Simulation
Geostatistical Simulation
Homogenization
GSIMCLI
Simulated temperature data
title_short Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
title_full Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
title_fullStr Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
title_full_unstemmed Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
title_sort Evaluation of a homogenization method based on geostatistical simulation using a benchmark temperature data set
author Caceres, Julia Desiree Velastegui
author_facet Caceres, Julia Desiree Velastegui
author_role author
dc.contributor.none.fl_str_mv Costa, Ana Cristina Marinho da
Ribeiro, Sara Cristina da Silva
Mateu Mahiques, Jorge
RUN
dc.contributor.author.fl_str_mv Caceres, Julia Desiree Velastegui
dc.subject.por.fl_str_mv Direct Sequential Simulation
Geostatistical Simulation
Homogenization
GSIMCLI
Simulated temperature data
topic Direct Sequential Simulation
Geostatistical Simulation
Homogenization
GSIMCLI
Simulated temperature data
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2017
dc.date.none.fl_str_mv 2017-03-01
2017-03-01T00:00:00Z
2018-04-10T12:23:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/34211
TID:201895994
url http://hdl.handle.net/10362/34211
identifier_str_mv TID:201895994
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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