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Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey

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dc.contributor Háskólinn í Reykjavík
dc.contributor Reykjavik University
dc.contributor.author Helmert, Jürgen
dc.contributor.author Şensoy Şorman, Aynur
dc.contributor.author Alvarado Montero, Rodolfo
dc.contributor.author De Michele, Carlo
dc.contributor.author de Rosnay, Patricia
dc.contributor.author Dumont, Marie
dc.contributor.author Finger, David
dc.contributor.author Lange, Martin
dc.contributor.author Picard, Ghislain
dc.contributor.author Potopová, Vera
dc.contributor.author Pullen, Samantha
dc.contributor.author Vikhamar-Schuler, Dagrun
dc.contributor.author Arslan, Ali
dc.date.accessioned 2019-11-04T16:31:16Z
dc.date.available 2019-11-04T16:31:16Z
dc.date.issued 2018-12-14
dc.identifier.citation Helmert, J.; Şensoy Şorman, A.; Alvarado Montero, R.; De Michele, C.; De Rosnay, P.; Dumont, M.; Finger, D.C.; Lange, M.; Picard, G.; Potopová, V.; Pullen, S.; Vikhamar-Schuler, D.; Arslan, A.N. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey. Geosciences 2018, 8, 489.
dc.identifier.issn 2076-3263 (eISSN)
dc.identifier.uri https://hdl.handle.net/20.500.11815/1330
dc.description Supplementary Materials: COST ESSEM 1404 working group 3 survey: Questionnaire and results are available at http://www.harmosnow.eu/index.php?page=WG3.
dc.description.abstract The 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.
dc.description.sponsorship This research is part of the COST Action ES1404 activity funded by the COST programme.
dc.format.extent 489
dc.language.iso en
dc.publisher MDPI AG
dc.relation.ispartofseries Geosciences;8(12)
dc.rights info:eu-repo/semantics/openAccess
dc.subject COST Action ES1404
dc.subject HarmoSnow
dc.subject Snow measurements
dc.subject Snow models
dc.subject Data assimilation
dc.subject Remote sensing
dc.subject Snjómælingar
dc.subject Fjarkönnun
dc.subject Snjór
dc.title Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey
dc.type info:eu-repo/semantics/article
dcterms.license © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.description.version Peer reviewed
dc.identifier.journal Geosciences
dc.identifier.doi 10.3390/geosciences8120489
dc.relation.url http://www.mdpi.com/2076-3263/8/12/489/pdf
dc.contributor.school Tækni og verkfræðideild (HR)
dc.contributor.school School of Science and Engineering (RU)


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