{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:15:10Z","timestamp":1762640110189,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T00:00:00Z","timestamp":1678838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the \u201cSecond Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers\u201d","award":["00138"],"award-info":[{"award-number":["00138"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This study aims to present and analyze the time series of the snow parameters focusing on representative geographical areas of the Eastern Mediterranean (i.e., Greece and Italy) and to examine their seasonal variability, in terms of region and geography. The satellite retrievals were firstly validated against in-situ retrievals for 67 common days, with a mean bias equal to \u22120.018 cm, with a near-Gaussian distribution, showing the good performance of the satellite snow detection. The satellite-based analysis resulted in increasing trends of snow water equivalent, attributed to the enhanced values between 2000 and 2009; however, decreasing trends are found starting from 2010 until now of \u22121.79 \u00d7 10\u221217 and \u22122.31 \u00d7 10\u221218 over the two representative areas of Greece (e.g., Thessaloniki and Kozani). A similar pattern is found for the snow water equivalent in the Italian study area, with a decreasing trend of \u22124.45 \u00d7 10\u221218. The presented results contribute to a better understanding of the spatial snow distribution and the snow coverage seasonality that could be crucial for the long-term groundwater management, by combining snow data trends from in-situ data and satellite statistics.<\/jats:p>","DOI":"10.3390\/rs15061596","type":"journal-article","created":{"date-parts":[[2023,3,15]],"date-time":"2023-03-15T04:39:45Z","timestamp":1678855185000},"page":"1596","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Snowfall Variation in Eastern Mediterranean Catchments"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8298-5103","authenticated-orcid":false,"given":"Kalliopi Artemis","family":"Voudouri","sequence":"first","affiliation":[{"name":"Laboratory of Atmospheric Physics, School of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"},{"name":"Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, 15236 Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7963-2689","authenticated-orcid":false,"given":"Maria Margarita","family":"Ntona","sequence":"additional","affiliation":[{"name":"Laboratory of Engineering Geology & Hydrogeology, School of Geology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"},{"name":"Biological and Pharmaceutical Sciences and Technologies, Department of Environmental, University of Campania \u201cLuigi Vanvitelli\u201d, 81100 Caserta, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0406-9561","authenticated-orcid":false,"given":"Nerantzis","family":"Kazakis","sequence":"additional","affiliation":[{"name":"Laboratory of Engineering Geology & Hydrogeology, School of Geology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1175\/2010JHM1202.1","article-title":"Estimating Snow Water Equivalent Using Snow Depth Data and Climate Classes","volume":"11","author":"Sturm","year":"2010","journal-title":"J. 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