Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/8393
Homogenizing GPS integrated water vapour time series: methodology and benchmarking the algorithms on synthetic datasets
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dc.contributor.authorMalderen, Roeland vanes_ES
dc.contributor.authorPottiaux, E.es_ES
dc.contributor.authorKlos, A.es_ES
dc.contributor.authorBock, Olivieres_ES
dc.contributor.authorBogusz, J.es_ES
dc.contributor.authorChimani, B.es_ES
dc.contributor.authorElias, M.es_ES
dc.contributor.authorGruszczynska, M.es_ES
dc.contributor.authorGuijarro, José Antonioes_ES
dc.contributor.authorZengin Kazancı, S.es_ES
dc.contributor.authorNing, T.es_ES
dc.date.accessioned2018-02-05T08:32:50Z-
dc.date.available2018-02-05T08:32:50Z-
dc.date.issued2017-
dc.identifier.citationSzentimrey, Tamás; Hoffmann, Lilla; Lakatos, Mónika, eds. (2017). Ninth Seminar for Homogenization and Quality Control in Climatological Databases and Fourth Conference on Spatial Interpolation Techniques in Climatology and Meteorology. Geneva: World Meteorological Organization, p. 102-114es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.11765/8393-
dc.description.sponsorshipWe would like to thank the COST Action ES1206 GNSS4SWEC for financial support.es_ES
dc.language.isoenges_ES
dc.publisherWorld Meteorological Organizationes_ES
dc.relation.ispartofseriesWCDMP;85-
dc.subjectWater vapoures_ES
dc.subjectTime serieses_ES
dc.subjectAlgorithmses_ES
dc.subjectHomogenizationes_ES
dc.subjectSynthetic datasetses_ES
dc.titleHomogenizing GPS integrated water vapour time series: methodology and benchmarking the algorithms on synthetic datasetses_ES
dc.typeinfo:eu-repo/semantics/reportes_ES
dc.relation.publisherversionhttp://www.wmo.int/pages/prog/wcp/wcdmp/wcdmp_series/WCDMP_85.pdfes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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