{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T07:03:58Z","timestamp":1767855838566,"version":"3.49.0"},"reference-count":25,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T00:00:00Z","timestamp":1667952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000104","name":"NASA","doi-asserted-by":"publisher","award":["80NSSC18K1690"],"award-info":[{"award-number":["80NSSC18K1690"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>With a decade scale record of global snow cover extent (SCE) at up to 500 m from the Moderate-resolution Imaging Spectroradiometer (MODIS), the dynamics of snow cover can be mapped at local to global scales. We developed daily snow cover frequency maps from 2001\u20132020 using a ~5 km resolution MODIS snow cover map. For each day of the year the maps show the frequency of snow cover for the 20-year period on a per-grid cell basis. Following on from other work to develop snow frequency maps using MODIS snow cover products, we include spatial filtering to reduce errors caused by \u2018false snow\u2019 that occurs primarily due to cloud-snow confusion. On our snow frequency maps, there were no regions or time periods with a noticeable absence of snow where snow was expected. In one example, the MODIS derived frequency of snow cover on 25 December compares well with NOAA\u2019s historical probability of snow on the same day. Though the MODIS derived snow frequency and NOAA probabilities are computed from very different data sources, they compare well. Though this preliminary research is promising, much future evaluation is needed.<\/jats:p>","DOI":"10.3390\/rs14225661","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T02:07:48Z","timestamp":1668046068000},"page":"5661","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Development of Snow Cover Frequency Maps from MODIS Snow Cover Products"],"prefix":"10.3390","volume":"14","author":[{"given":"George","family":"Riggs","sequence":"first","affiliation":[{"name":"Science Systems and Applications Inc., Lanham, MD 20706, USA"}]},{"given":"Dorothy","family":"Hall","sequence":"additional","affiliation":[{"name":"Earth System Science Interdisciplinary Center (ESSIC), Faculty, University of Maryland, College Park, MD 20740, USA"}]},{"given":"Carrie","family":"Vuyovich","sequence":"additional","affiliation":[{"name":"NASA GSFC, Hydrological Sciences Laboratory, Greenbelt, MD 20771, USA"}]},{"given":"Nicolo","family":"DiGirolamo","sequence":"additional","affiliation":[{"name":"Science Systems and Applications Inc., Lanham, MD 20706, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.5194\/hess-11-1417-2007","article-title":"A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin","volume":"11","author":"Christensen","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"137","DOI":"10.5194\/essd-7-137-2015","article-title":"A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring","volume":"7","author":"Estilow","year":"2015","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_3","unstructured":"(2022, August 29). Rutgers University Global Snow Lab. Available online: https:\/\/climate.rutgers.edu\/snowcover\/."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1175\/1520-0477(1993)074<1689:GSCMAU>2.0.CO;2","article-title":"Global Snow Cover Monitoring: An Update","volume":"74","author":"Robinson","year":"1993","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_5","unstructured":"Helfrich, S., Ki, M., Kongoli, C., Nagdimunov, L., and Rodriguez, E. (2022, August 29). Interactive Multisensor Snow and Ice Mapping System Version 3 (IMS V3), IMS Algorithm Theoretical Basis Document Version 2.5, NOAA NESDIS STAR. Available online: https:\/\/nsidc.org\/sites\/default\/files\/ims_v3_atbd_v25.pdf."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Fugazza, D., Manara, V., Senese, A., Diolaiuti, G., and Maugeri, M. (2021). Snow Cover Variability in the Greater Alpine Region in the MODIS Era (2000\u20132019). Remote Sens., 13.","DOI":"10.3390\/rs13152945"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3505","DOI":"10.2166\/wcc.2021.037","article-title":"Variation of snow cover in the Nyang River basin of southeastern Tibetan Plateau, China","volume":"12","author":"Zhang","year":"2021","journal-title":"J. Water Clim. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e14262","DOI":"10.1002\/hyp.14262","article-title":"New snow metrics for a warming world","volume":"35","author":"Nolin","year":"2021","journal-title":"Hydrol. Process."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4369","DOI":"10.1002\/joc.5674","article-title":"Global snow zone maps and trends in snow persistence 2001\u20132016","volume":"38","author":"Hammond","year":"2018","journal-title":"Int. J. Climatol."},{"key":"ref_10","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_11","doi-asserted-by":"crossref","first-page":"2432","DOI":"10.3390\/rs4082432","article-title":"European snow cover characteristics between 2000 and 2011 derived from improved MODIS daily snow cover products","volume":"4","author":"Dietz","year":"2012","journal-title":"Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Crumley, R.L., Palomaki, R.T., Nolin, A.W., Sproles, E.A., and Mar, E.J. (2020). SnowCloudMetrics: Snow Information for Everyone. Remote Sens., 12.","DOI":"10.3390\/rs12203341"},{"key":"ref_13","first-page":"71","article-title":"Arctic climate and snow cover trends-Comparing Global Circulation Models with remote sensing observations","volume":"80","author":"Eythorsson","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Choudhury, A., Yadav, A.C., and Bonafoni, S. (2021). A Response of Snow Cover to the Climate in the Northwest Himalaya (NWH) Using Satellite Products. Remote Sens., 13.","DOI":"10.3390\/rs13040655"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6784","DOI":"10.1080\/01431161.2018.1466075","article-title":"Spatiotemporal variability of snow cover on Tibet, China using MODIS remote-sensing data","volume":"39","author":"Chu","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Du, W., Kang, S., Qian, L., Jiang, Y., Sun, W., Chen, J., Xu, Z., Sun, W., Qin, X., and Chai, X. (2022). Spatiotemporal Variation of Snow Cover Frequency in the Qilian Mountains (Northwestern China) during 2000\u20132020 and Associated Circulation Mechanisms. Remote Sens., 14.","DOI":"10.3390\/rs14122823"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2009.10.007","article-title":"Development and evaluation of a cloud-gap-filled MODIS daily snow-cover product","volume":"114","author":"Hall","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_18","unstructured":"Riggs, G.A., Hall, D.K., and Roman, M.O. (2022, August 15). MODIS Snow Products Collection 6.1 User Guide, Version 1.0. Available online: https:\/\/nsidc.org\/sites\/default\/files\/c61_modis_snow_user_guide.pdf."},{"key":"ref_19","unstructured":"Riggs, G. (2022). (SSAI, Lanham, MD, USA). MODIS False Snow Causes and Filters to Remove, Unpublished work."},{"key":"ref_20","unstructured":"National Weather Service, National Oceanic and Atmospheric Administration (2022, August 24). Will We Have a White Christmas?, Available online: https:\/\/www.weather.gov\/dvn\/ChristmasSnow."},{"key":"ref_21","unstructured":"Riggs, G.A., and Hall, D.K. (2022, August 12). MODIS Snow Products Collection 6.1 User Guide, Version 1.0. Available online: https:\/\/nsidc.org\/sites\/default\/files\/mod10_l2-v061-userguide_0.pdf."},{"key":"ref_22","unstructured":"Hall, D.K., Riggs, G.A., DiGirolamo, N.E., Estilow, T.W., and Robinson, D.A. (2022, January 1\u20133). Comparison of VIIRS and NOAA\/Rutgers IMS Snow-Cover Frequency Maps of North America. Proceedings of the 78th Eastern Snow Conference, Saskatoon, Saskatchewan, Canada. Available online: https:\/\/www.easternsnow.org\/past-meetings."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5227","DOI":"10.5194\/hess-23-5227-2019","article-title":"Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record","volume":"23","author":"Hall","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_24","unstructured":"(2022, August 29). NASA, Terra the EOS Flagship, Available online: https:\/\/terra.nasa.gov\/about\/terra-orbital-drift-information."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Riggs, G., and Hall, D. (2020). Continuity of MODIS and VIIRS Snow Cover Extent Data Products for Development of an Earth Science Data Record. Remote Sens., 12.","DOI":"10.3390\/rs12223781"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/22\/5661\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:13:22Z","timestamp":1760145202000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/22\/5661"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,9]]},"references-count":25,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14225661"],"URL":"https:\/\/doi.org\/10.3390\/rs14225661","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,9]]}}}