Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/2547
Variational bias correction of GNSS ZTD in the HARMONIE modeling system
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dc.contributor.authorSánchez Arriola, Janaes_ES
dc.contributor.authorLindskog, Magnuses_ES
dc.contributor.authorThorsteinsson, Sigurdures_ES
dc.contributor.authorBojarova, Jelenaes_ES
dc.date.accessioned2016-05-24T12:03:05Z-
dc.date.available2016-05-24T12:03:05Z-
dc.date.issued2016-
dc.identifier.citationJournal of Applied Meteorology and Climatology. 2016, 55(5), p. 1259–1276es_ES
dc.identifier.issn1558-8424-
dc.identifier.issn1558-8432-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/2547-
dc.description.abstractTo fill the gap in the observation system for humidity, the HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed(HARMONIE) limited-area high-resolution kilometer-scale model has been prepared for assimilation of Global Navigation Satellite System (GNSS) zenith total delay (ZTD) observations. The observation-processing system includes data selection, bias correction, quality control, and a GNSS observation operator for data assimilation. A large part of the bias between observations and model equivalents comes from the relatively low model top used in the HARMONIE experiments. The functionality of the different observation-processing components was investigated in detail as was the overall performance of the GNSS ZTD data assimilation. This paper contains an extensive description of the GNSS ZTD observation-processing system and a comparison of a newly introduced variational bias correction for GNSS ZTD data with an alternative static bias correction, as well as a detailed analysis of the impact of GNSS ZTD data, both in terms of statistical evaluations over a longer period and in terms of individual case studies. Assimilation of the GNSS ZTD observations with a variational bias correction has improved the quality of short-range weather forecasts for the moisture-related parameters in particular, both in a statistical sense and in individual case studies. The paper also discusses further improvements in the HARMONIE variational data-assimilation system that are needed to fully utilize the potential of high-resolution GNSS ZTD observations.es_ES
dc.formatapplication/pdf-
dc.language.isoenges_ES
dc.publisherAmerican Meteorological Societyes_ES
dc.subjectData assimilationes_ES
dc.subjectMesoscale modelses_ES
dc.subjectGlobal Navigation Satellite System (GNSS)es_ES
dc.subjectModelos de mesoescalaes_ES
dc.titleVariational bias correction of GNSS ZTD in the HARMONIE modeling systemes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1175/JAMC-D-15-0137.1es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Appears in Collections:Artículos científicos 2015-2018


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