{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T04:54:10Z","timestamp":1762145650643,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T00:00:00Z","timestamp":1621468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005416","name":"Norges Forskningsr\u00e5d","doi-asserted-by":"publisher","award":["801-269927"],"award-info":[{"award-number":["801-269927"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Reliable and accurate mapping of snow cover are essential in applications such as water resource management, hazard forecasting, calibration and validation of hydrological models and climate impact assessments. Optical remote sensing has been utilized as a tool for snow cover monitoring over the last several decades. However, consistent long-term monitoring of snow cover can be challenging due to differences in spatial resolution and retrieval algorithms of the different generations of satellite-based sensors. Snow models represent a complementary tool to remote sensing for snow cover monitoring, being able to fill in temporal and spatial data gaps where a lack of observations exist. This study utilized three optical remote sensing datasets and two snow models with overlapping periods of data coverage to investigate the similarities and discrepancies in snow cover estimates over Nordenski\u00f6ld Land in central Svalbard. High-resolution Sentinel-2 observations were utilized to calibrate a 20-year MODIS snow cover dataset that was subsequently used to correct snow cover fraction estimates made by the lower resolution AVHRR instrument and snow model datasets. A consistent overestimation of snow cover fraction by the lower resolution datasets was found, as well as estimates of the first snow-free day (FSFD) that were, on average, 10\u201315 days later when compared with the baseline MODIS estimates. Correction of the AVHRR time series produced a significantly slower decadal change in the land-averaged FSFD, indicating that caution should be exercised when interpreting climate-related trends from earlier lower resolution observations. Substantial differences in the dynamic characteristics of snow cover in early autumn were also present between the remote sensing and snow model datasets, which need to be investigated separately. This work demonstrates that the consistency of earlier low spatial resolution snow cover datasets can be improved by using current-day higher resolution datasets.<\/jats:p>","DOI":"10.3390\/rs13102002","type":"journal-article","created":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T06:13:45Z","timestamp":1621491225000},"page":"2002","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Compilation of Snow Cover Datasets for Svalbard: A Multi-Sensor, Multi-Model Study"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0765-0490","authenticated-orcid":false,"given":"Hannah","family":"Vickers","sequence":"first","affiliation":[{"name":"NORCE Norwegian Research Centre AS, P.O. Box 6434, NO-9294 Troms\u00f8, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9824-9696","authenticated-orcid":false,"given":"Eirik","family":"Malnes","sequence":"additional","affiliation":[{"name":"NORCE Norwegian Research Centre AS, P.O. Box 6434, NO-9294 Troms\u00f8, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4839-7900","authenticated-orcid":false,"given":"Ward J. J.","family":"van Pelt","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Uppsala University, 75105 Uppsala, Sweden"}]},{"given":"Veijo A.","family":"Pohjola","sequence":"additional","affiliation":[{"name":"Department of Earth Sciences, Uppsala University, 75105 Uppsala, Sweden"}]},{"given":"Mari Anne","family":"Killie","sequence":"additional","affiliation":[{"name":"Norwegian Meteorological Institute, P.O. Box 43, NO-0313 Oslo, Norway"}]},{"given":"Tuomo","family":"Saloranta","sequence":"additional","affiliation":[{"name":"Hydrology Department, Norwegian Water Resources and Energy Directorate, P.O. Box 5091, NO-0301 Oslo, Norway"}]},{"given":"Stein Rune","family":"Karlsen","sequence":"additional","affiliation":[{"name":"NORCE Norwegian Research Centre AS, P.O. Box 6434, NO-9294 Troms\u00f8, Norway"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6551","DOI":"10.1175\/JCLI-D-13-00549.1","article-title":"Summer arctic atmospheric circulation response to spring eurasian snow cover and its possible linkage to accelerated sea ice decrease","volume":"27","author":"Matsumura","year":"2014","journal-title":"J. Clim."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.3189\/2012JoG11J036","article-title":"Estimating the long-term calving flux of Kronebreen, Svalbard, from geodetic elevation changes and mass-balance modelling","volume":"58","author":"Nuth","year":"2012","journal-title":"J. Glaciol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2100","DOI":"10.1002\/2016JF003999","article-title":"Multidecadal climate and seasonal snow conditions in Svalbard","volume":"121","author":"Kohler","year":"2016","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Vickers, H., Karlsen, S.R., and Malnes, E. (2020). A 20-Year MODIS-based snow cover dataset for svalbard and its link to phenological timing and sea ice variability. Remote Sens., 12.","DOI":"10.3390\/rs12071123"},{"key":"ref_5","first-page":"14","article-title":"Temperature and precipitation development at svalbard 1900\u20132100","volume":"2011","author":"Benestad","year":"2011","journal-title":"Adv. Meteorol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1017\/jog.2021.2","article-title":"Accelerating future mass loss of Svalbard glaciers from a multi-model ensemble","volume":"67","author":"Schuler","year":"2021","journal-title":"J. Glaciol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"21","DOI":"10.2166\/nh.2007.032","article-title":"Improving runoff modeling using satellite-derived snow cover area?","volume":"38","author":"Udnaes","year":"2007","journal-title":"Nordic Hydrol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1002\/hyp.6253","article-title":"Uncertainty and multiple objective calibration in regional water balance modelling\u2014Case study in 320 Austrian catchments","volume":"21","author":"Parajka","year":"2007","journal-title":"Hydrol. Process."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.jhydrol.2008.06.006","article-title":"The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models","volume":"358","author":"Parajka","year":"2008","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1016\/j.advwatres.2005.10.001","article-title":"Assimilation of snow covered area information into hydrologic and land-surface models","volume":"29","author":"Clark","year":"2006","journal-title":"Adv. Water Resour."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4094","DOI":"10.1080\/01431161.2011.640964","article-title":"Remote sensing of snow\u2014A review of available methods","volume":"33","author":"Dietz","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.3189\/002214311796406077","article-title":"Recent advances in remote sensing of seasonal snow","volume":"56","author":"Nolin","year":"2010","journal-title":"J. Glaciol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1029\/RG020i001p00067","article-title":"Optical properties of snow","volume":"20","author":"Warren","year":"1982","journal-title":"Rev. Geophys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/0034-4257(89)90101-6","article-title":"Spectral signature of alpine snow cover from the landsat thematic mapper","volume":"28","author":"Dozier","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.rse.2003.10.016","article-title":"Estimating fractional snow cover from MODIS using the normalized difference snow index","volume":"89","author":"Salomonson","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/S0034-4257(02)00095-0","article-title":"MODIS snow-cover products","volume":"83","author":"Hall","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"111618","DOI":"10.1016\/j.rse.2019.111618","article-title":"Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography","volume":"239","author":"Aalstad","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"12478","DOI":"10.3390\/rs61212478","article-title":"Prevalence of pure versus mixed snow cover pixels across spatial resolutions in alpine environments","volume":"6","author":"Selkowitz","year":"2014","journal-title":"Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2401","DOI":"10.5194\/hess-23-2401-2019","article-title":"The recent developments in cloud removal approaches of MODIS snow cover product","volume":"23","author":"Li","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4579","DOI":"10.5194\/hess-18-4579-2014","article-title":"Cloud obstruction and snow cover in Alpine areas from MODIS products","volume":"18","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"5809","DOI":"10.5194\/acp-17-5809-2017","article-title":"CLARA-A2: The second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data","volume":"17","author":"Karlsson","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1017\/S0032247411000647","article-title":"Vegetation mapping of Svalbard utilising Landsat TM\/ETM data","volume":"48","author":"Johansen","year":"2012","journal-title":"Polar Rec."},{"key":"ref_23","unstructured":"Zupanc, A. (2019, November 29). Improving Cloud Detection with Machine Learning. Available online: https:\/\/medium.com\/sentinel-hub\/improving-cloud-detection-with-machine-learning-c09dc5d7cf13."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.5194\/hess-19-2337-2015","article-title":"A snow cover climatology for the pyrenees from modis snow products","volume":"19","author":"Gascoin","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.jhydrol.2016.03.061","article-title":"Operational snow mapping with simplified data assimilation using the seNorge snow model","volume":"538","author":"Saloranta","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_26","unstructured":"Saloranta, T.M. (2014). New Version (V.1.1.1) of The Senorge Snow Model and Snow Maps for Norway, Rapport 6-2014, Norwegian Water Resources and Energy Directorate. Available online: http:\/\/publikasjoner.nve.no\/rapport\/2014\/rapport2014_06.pdf."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"641","DOI":"10.5194\/tc-6-641-2012","article-title":"Simulating melt, runoff and refreezing on Nordenski\u00f6ldbreen, Svalbard, using a coupled snow and energy balance model","volume":"6","author":"Oerlemans","year":"2012","journal-title":"Cryosphere"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.5194\/tc-13-2259-2019","article-title":"A long-term dataset of climatic mass balance, snow conditions and runoff in Svalbard (1957\u20132018)","volume":"13","author":"Pohjola","year":"2019","journal-title":"Cryosphere"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1029\/2010JC006402","article-title":"A high-resolution hindcast of wind and waves for the North Sea, the Norwegian Sea, and the Barents Sea","volume":"116","author":"Reistad","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.advwatres.2012.03.002","article-title":"Assessment of methods for mapping snow cover from MODIS","volume":"51","author":"Rittger","year":"2013","journal-title":"Adv. Water Resour."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Gascoin, S., Barrou Dumont, Z., Deschamps-Berger, C., Marti, F., Salgues, G., L\u00f3pez-Moreno, J.I., Revuelto, J., Michon, T., Schattan, P., and Hagolle, O. (2020). Estimating fractional snow cover in open terrain from sentinel-2 using the normalized difference snow index. Remote Sens., 12.","DOI":"10.20944\/preprints202007.0381.v1"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.rse.2005.01.006","article-title":"Evaluation of spring snow covered area depletion in the Canadian Arctic from NOAA snow charts","volume":"95","author":"Wang","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_33","unstructured":"Killie, M.A., Aaboe, S., Isaksen, K., Van Pelt, W., Pedersen, A.\u00d8., and Luks, B. (2021). Svalbard Snow and Sea-Ice Cover: Comparing Satellite Data, On-Site Measurements, and Modelling Results (Svalscesia). The State of Environmental Science in Svalbard (SESS) Report 2020, SIOS."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/10\/2002\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:04:31Z","timestamp":1760162671000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/10\/2002"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,20]]},"references-count":33,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13102002"],"URL":"https:\/\/doi.org\/10.3390\/rs13102002","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,5,20]]}}}