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dc.contributor.authorSonmez, Ibrahim
dc.contributor.authorTekeli, Ahmet Emre
dc.contributor.authorErdi, Erdem
dc.date.accessioned2020-06-21T13:57:07Z
dc.date.available2020-06-21T13:57:07Z
dc.date.issued2014
dc.identifier.issn0899-8418
dc.identifier.issn1097-0088
dc.identifier.urihttps://doi.org/10.1002/joc.3843
dc.identifier.urihttps://hdl.handle.net/20.500.12712/15136
dc.descriptionWOS: 000337558200018en_US
dc.description.abstractThe daily snow cover data from Interactive Multisensor Snow and Ice Mapping System (IMS) by National Oceanic and Atmospheric Administration's National Environmental Satellite Data and Information Service (NOAA/NESDIS) covering the 2004-2012 time period is used in this study. In the first part of the study, daily IMS product is validated over Turkey using daily ground truth snow depth measurements from 219 climatological and synoptic sites. The categorical statistics of probability of detection (POD) and false alarm rates (FAR) are provided both for whole Turkey and with respect to geographical sub-regions. The overall POD and FAR amounts for Turkey are obtained as 73.55 and 25.11%, respectively. The performed analysis indicates an increase in IMS accuracies as the snowpack depth at the stations increase. In the second part of the study, the nonparametric Mann-Kendall test is performed to analyse the snow cover trend over Turkey with respect to sub-regions considering the whole year and each season separately. A negative trend in snow-covered area percentage is obtained for Turkey at the significance level of =0.05. From the seasonal perspective for Turkey, negative trend for spring and summer seasons, positive trend for autumn season and combination of negative and no trend for winter season are obtained at the same significance level. Almost the same results are valid for the sub-regions with some local and seasonal variations.en_US
dc.description.sponsorshipDeanship of Scientific Research, College of Engineering Research Center at King Saud University, Riyadh, Kingdom of Saudi Arabiaen_US
dc.description.sponsorshipThis research was supported by Deanship of Scientific Research, College of Engineering Research Center at King Saud University, Riyadh, Kingdom of Saudi Arabia.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1002/joc.3843en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIMSen_US
dc.subjectsnow cover trenden_US
dc.subjectTurkeyen_US
dc.subjectMann-Kendall Testen_US
dc.titleSnow cover trend analysis using Interactive Multisensor Snow and Ice Mapping System data over Turkeyen_US
dc.typearticleen_US
dc.contributor.departmentOMÜen_US
dc.identifier.volume34en_US
dc.identifier.issue7en_US
dc.identifier.startpage2349en_US
dc.identifier.endpage2361en_US
dc.relation.journalInternational Journal of Climatologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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