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dc.contributor.authorHelmert, Juergen
dc.contributor.authorSorman, Aynur Şensoy
dc.contributor.authorMontero, Rodolfo Alvarado
dc.contributor.authorDe Michele, Carlo
dc.contributor.authorde Rosnay, Patricia
dc.contributor.authorDumont, Marie
dc.contributor.authorArslan, Ali Nadir
dc.date.accessioned2019-10-21T21:11:30Z
dc.date.available2019-10-21T21:11:30Z
dc.date.issued2018
dc.identifier.issn2076-3263
dc.identifier.urihttps://dx.doi.org/10.3390/geosciences8120489
dc.identifier.urihttps://hdl.handle.net/11421/21009
dc.descriptionWOS: 000455388200062en_US
dc.description.abstractThe European Cooperation in Science and Technology (COST) Action ES1404 HarmoSnow, entitled, A European network for a harmonized monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction (2014-2018) aims to coordinate efforts in Europe to harmonize approaches to validation, and methodologies of snow measurement practices, instrumentation, algorithms and data assimilation (DA) techniques. One of the key objectives of the action was Advance the application of snow DA in numerical weather prediction (NWP) and hydrological models and show its benefit for weather and hydrological forecasting as well as other applications. This paper reviews approaches used for assimilation of snow measurements such as remotely sensed and in situ observations into hydrological, land surface, meteorological and climate models based on a COST HarmoSnow survey exploring the common practices on the use of snow observation data in different modeling environments. The aim is to assess the current situation and understand the diversity of usage of snow observations in DA, forcing, monitoring, validation, or verification within NWP, hydrology, snow and climate models. Based on the responses from the community to the questionnaire and on literature review the status and requirements for the future evolution of conventional snow observations from national networks and satellite products, for data assimilation and model validation are derived and suggestions are formulated towards standardized and improved usage of snow observation data in snow DA. Results of the conducted survey showed that there is a fit between the snow macro-physical variables required for snow DA and those provided by the measurement networks, instruments, and techniques. Data availability and resources to integrate the data in the model environment are identified as the current barriers and limitations for the use of new or upcoming snow data sources. Broadening resources to integrate enhanced snow data would promote the future plans to make use of them in all model environments.en_US
dc.description.sponsorshipCOST programmeen_US
dc.description.sponsorshipThis research is part of the COST Action ES1404 activity funded by the COST programme.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/geosciences8120489en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCost Action Es1404en_US
dc.subjectHarmosnowen_US
dc.subjectSnow Measurementsen_US
dc.subjectSnow Modelsen_US
dc.subjectData Assimilationen_US
dc.subjectRemote Sensingen_US
dc.titleReview of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Surveyen_US
dc.typereviewen_US
dc.relation.journalGeosciencesen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume8en_US
dc.identifier.issue12en_US
dc.relation.publicationcategoryDiğeren_US


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