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Impact of Turkish ground‐based GPS‐PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case

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dc.contributor.authorTilev-Tanriover S.
dc.contributor.authorKahraman A.
dc.date.accessioned2026-01-26T04:04:32Z
dc.date.issued2013-12-23
dc.description.abstractAbstractA ground‐based Global Positioning System (GPS) network which consists of 147 uniformly distributed stations has been implemented in Turkey in May 2009. Precipitable water (PW) data estimated using this network is available since October 2010. Three experiments for a specific heavy snow case have been conducted to assess the impact of assimilation of this new data on short range weather forecasts. Verifications with surface observations indicate some reduction in the biases of basic variables for whole domain, and improvement in precipitation forecasts. Upper air variables of all simulations are compared with radiosonde observations, and some improvement in dew point temperatures through troposphere is observed with cycling mode assimilation.
dc.description.urihttps://doi.org/10.1002/asl2.482
dc.description.urihttps://rmets.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asl2.482
dc.description.urihttps://dx.doi.org/10.1002/asl2.482
dc.description.urihttps://doi.org/https://doi.org/10.1002/asl2.482
dc.identifier.doi10.1002/asl2.482
dc.identifier.eissn1530-261X
dc.identifier.endpage165
dc.identifier.issn1530-261X
dc.identifier.openairedoi_dedup___::da7ce463277d22f9665c141aa6894992
dc.identifier.orcid0000-0002-8180-1103
dc.identifier.startpage159
dc.identifier.urihttps://hdl.handle.net/11527/60061
dc.identifier.volume15
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofAtmospheric Science Letters
dc.rightsOPEN
dc.sdg.typeGoal 13: Climate Action
dc.sdg.typeGoal 3: Good Health and Well-being
dc.titleImpact of Turkish ground‐based GPS‐PW data assimilation on regional forecast: 8–9 March 2011 heavy snow case
dc.typeArticle
dspace.entity.typePublication

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