{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T10:48:58Z","timestamp":1764240538656,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T00:00:00Z","timestamp":1653609600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EU Horizon 2020 Integrated Arctic Observation System (INSTAROS)","award":["727890"],"award-info":[{"award-number":["727890"]}]},{"name":"Danish Energy Agency","award":["727890"],"award-info":[{"award-number":["727890"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Studies have shown that geodetic Global Navigation Satellite System (GNSS) stations can be used to measure snow depths using GNSS interferometric reflectometry (GNSS-IR). Here, we study the results from a customized GNSS setup installed in March through August 2020 at the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station NUK-K located on a small glacier outside Nuuk, Greenland. The setup is not optimized for reflectometry purposes. The site is obstructed between 85 and 215 degrees, and as the power supply is limited due to the remote location, the logging time is limited to 3 h per day. We estimate reflector heights using GNSS-IR and compare the results to a sonic ranger also placed on the weather station. We find that the snow melt measured by GNSS-IR is comparable to the melt measured by the sonic ranger. We expect that a period of up to 45 cm difference between the two is likely related to the much larger footprint GNSS-IR and the topography of the area. The uncertainty on the GNSS-IR reflector heights increase from approximately 2 cm for a snow surface to approximately 5 cm for an ice surface. If reflector height during snow free periods are part of the objective of a similar setup, we suggest increasing the logging time to reduce the uncertainty on the daily estimates.<\/jats:p>","DOI":"10.3390\/rs14112563","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:25:12Z","timestamp":1653956712000},"page":"2563","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Snow Depth Measurements by GNSS-IR at an Automatic Weather Station, NUK-K"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0649-4844","authenticated-orcid":false,"given":"Trine S.","family":"Dahl-Jensen","sequence":"first","affiliation":[{"name":"Danish National Space Centre, Technical University of Denmark, 2800 Lyngby, Denmark"}]},{"given":"Michele","family":"Citterio","sequence":"additional","affiliation":[{"name":"Department of Glaciology and Climate, The Geological Survey of Denmark and Greenland, GEUS, 1350 Copenhagen, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0799-5605","authenticated-orcid":false,"given":"Jakob","family":"Jakobsen","sequence":"additional","affiliation":[{"name":"Department of Glaciology and Climate, The Geological Survey of Denmark and Greenland, GEUS, 1350 Copenhagen, Denmark"}]},{"given":"Andreas P.","family":"Ahlstr\u00f8m","sequence":"additional","affiliation":[{"name":"Department of Glaciology and Climate, The Geological Survey of Denmark and Greenland, GEUS, 1350 Copenhagen, Denmark"}]},{"given":"Kristine M.","family":"Larson","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Geoinformation, University of Bonn, 53115 Bonn, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2689-8563","authenticated-orcid":false,"given":"Shfaqat A.","family":"Khan","sequence":"additional","affiliation":[{"name":"Danish National Space Centre, Technical University of Denmark, 2800 Lyngby, Denmark"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,27]]},"reference":[{"key":"ref_1","unstructured":"P\u00f6rtner, H.-O., Roberts, D.C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegr\u00eda, A., Nicolai, M., and Okem, A. 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Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/11\/2563\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:19:35Z","timestamp":1760138375000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/11\/2563"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,27]]},"references-count":23,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["rs14112563"],"URL":"https:\/\/doi.org\/10.3390\/rs14112563","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,5,27]]}}}