{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:04:08Z","timestamp":1760144648302,"version":"build-2065373602"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T00:00:00Z","timestamp":1715212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Foundation of China","award":["42122047","2021YFC2802504","2024Z007","2023Z015"],"award-info":[{"award-number":["42122047","2021YFC2802504","2024Z007","2023Z015"]}]},{"name":"National Key Research and Development Program of China","award":["42122047","2021YFC2802504","2024Z007","2023Z015"],"award-info":[{"award-number":["42122047","2021YFC2802504","2024Z007","2023Z015"]}]},{"name":"Basic Fund of the Chinese Academy of Meteorological Science","award":["42122047","2021YFC2802504","2024Z007","2023Z015"],"award-info":[{"award-number":["42122047","2021YFC2802504","2024Z007","2023Z015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The occurrence of Supraglacial Lakes (SGLs) may influence the signals acquired with microwave radiometers, which may result in a degree of uncertainty when employing microwave radiometer data for the detection of surface melt. Accurate monitoring of surface melting requires a reasonable assessment of this uncertainty. However, there is a scarcity of research in this field. Therefore, in this study, we computed surface melt in the vicinity of Automatic Weather Stations (AWSs) by employing Defense Meteorological Satellite Program (DMSP) Ka-band data and Soil Moisture and Ocean Salinity (SMOS) satellite L-band data and extracted SGL pixels by utilizing Sentinel-2 data. A comparison between surface melt results derived from AWS air temperature estimates and those obtained with remote sensing inversion in the two different bands was conducted for sites below the mean snowline elevation during the summers of 2016 to 2020. Compared with sites with no SGLs, the commission error (CO) of DMSP morning and evening data at sites where these water bodies were present increased by 36% and 30%, respectively, and the number of days with CO increased by 12 and 3 days, respectively. The omission error (OM) of SMOS morning and evening data increased by 33% and 32%, respectively, and the number of days with OM increased by 17 and 21 days, respectively. Identifying the source of error is a prerequisite for the improvement of surface melt algorithms, for which this study provides a basis.<\/jats:p>","DOI":"10.3390\/rs16101673","type":"journal-article","created":{"date-parts":[[2024,5,9]],"date-time":"2024-05-09T03:34:19Z","timestamp":1715225659000},"page":"1673","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Influence of Supraglacial Lakes on Accuracy of Inversion of Greenland Ice Sheet Surface Melt Data in Different Passive Microwave Bands"],"prefix":"10.3390","volume":"16","author":[{"given":"Qian","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"},{"name":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China"}]},{"given":"Che","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China"}]},{"given":"Lu","family":"An","sequence":"additional","affiliation":[{"name":"Center for Spatial Information Science and Sustainable Development Applications, Tongji University, 1239 Siping Road, Shanghai 200092, China"},{"name":"College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1142-6598","authenticated-orcid":false,"given":"Minghu","family":"Ding","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China"},{"name":"Key Laboratory of Polar Atmosphere-Ocean-Ice System for Weather and Climate, Ministry of Education, Shanghai 200438, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11,051","DOI":"10.1002\/2017GL074954","article-title":"BedMachine v3: Complete Bed Topography and Ocean Bathymetry Mapping of Greenland From Multibeam Echo Sounding Combined With Mass Conservation","volume":"44","author":"Morlighem","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9239","DOI":"10.1073\/pnas.1904242116","article-title":"Forty-six years of Greenland Ice Sheet mass balance from 1972 to 2018","volume":"116","author":"Mouginot","year":"2019","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1038\/s41586-019-1855-2","article-title":"Mass balance of the Greenland Ice Sheet from 1992 to 2018","volume":"579","author":"Shepherd","year":"2020","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"e2022GL099058","DOI":"10.1029\/2022GL099058","article-title":"Calibrated Mass Loss Predictions for the Greenland Ice Sheet","volume":"49","author":"Aschwanden","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1038\/s43247-021-00092-z","article-title":"Ice dynamics will remain a primary driver of Greenland ice sheet mass loss over the next century","volume":"2","author":"Choi","year":"2021","journal-title":"Commun. Earth Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s40641-017-0084-8","article-title":"Greenland Ice Sheet Surface Mass Loss: Recent Developments in Observation and Modeling","volume":"3","author":"Box","year":"2017","journal-title":"Curr. Clim. Change Rep."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5061","DOI":"10.5194\/tc-16-5061-2022","article-title":"The sensitivity of satellite microwave observations to liquid water in the Antarctic snowpack","volume":"16","author":"Picard","year":"2022","journal-title":"Cryosphere"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.5194\/tc-15-2623-2021","article-title":"Surface melting over the Greenland ice sheet derived from enhanced resolution passive microwave brightness temperatures (1979\u20132019)","volume":"15","author":"Colosio","year":"2021","journal-title":"Cryosphere"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1016\/j.rse.2009.01.009","article-title":"Assessment and development of snowmelt retrieval algorithms over Antarctica from K-band spaceborne brightness temperature (1979\u20132008)","volume":"113","author":"Tedesco","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Nghiem, S.V., Hall, D.K., Mote, T.L., Tedesco, M., Albert, M.R., Keegan, K., Shuman, C.A., DiGirolamo, N.E., and Neumann, G. (2012). The extreme melt across the Greenland ice sheet in 2012. Geophys. Res. Lett., 39.","DOI":"10.1029\/2012GL053611"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"112341","DOI":"10.1016\/j.rse.2021.112341","article-title":"Quantifying Surface Melt and Liquid Water on the Greenland Ice Sheet using L-band Radiometry","volume":"256","author":"Houtz","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"111361","DOI":"10.1016\/j.rse.2019.111361","article-title":"Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone","volume":"235","author":"Houtz","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"11439","DOI":"10.1109\/JSTARS.2021.3124229","article-title":"Evaluation of Surface Melt on the Greenland Ice Sheet Using SMAP L-Band Microwave Radiometry","volume":"14","author":"Mousavi","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"e2021GL096599","DOI":"10.1029\/2021GL096599","article-title":"Ice Sheet Surface and Subsurface Melt Water Discrimination Using Multi-Frequency Microwave Radiometry","volume":"49","author":"Colliander","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/S0034-4257(99)00046-2","article-title":"Extension of the microwave emission model of layered snowpacks to coarse-grained snow","volume":"70","author":"Wiesmann","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.rse.2014.08.029","article-title":"Model for microwave emission of a snow-covered ground with focus on L band","volume":"154","author":"Schwank","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"477","DOI":"10.3189\/S002214300001234X","article-title":"Variations of near-surface firn density in the lower accumulation area of the Greenland ice sheet, P\u00e2kitsoq, West Greenland","volume":"40","author":"Braithwaite","year":"1994","journal-title":"J. Glaciol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hu, J., Huang, H., Chi, Z., Cheng, X., Wei, Z., Chen, P., Xu, X., Qi, S., Xu, Y., and Zheng, Y. (2022). Distribution and Evolution of Supraglacial Lakes in Greenland during the 2016&ndash;2018 Melt Seasons. Remote Sens., 14.","DOI":"10.3390\/rs14010055"},{"key":"ref_19","unstructured":"Yang, K., Li, M.C., and Liu, Y.X. (2014). Remote Sensing Study of Meltwater Storage, Transport and Release from the Greenland Ice Sheet. [Ph.D. Thesis, Nanjing University]."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101246","DOI":"10.1016\/j.ejrh.2022.101246","article-title":"Evolution of supraglacial lakes on Sermeq Avannarleq glacier, Greenland using Google Earth Engine","volume":"44","author":"Zhu","year":"2022","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_21","first-page":"177","article-title":"Assessment of Greenland surface melt algorithms based on DMSP and SMOS data","volume":"34","author":"Qian","year":"2023","journal-title":"Adv. Polar Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"539","DOI":"10.3189\/172756501781831738","article-title":"Detection of snowmelt regions on the Greenland ice sheet using diurnal backscatter change","volume":"47","author":"Kwok","year":"2001","journal-title":"J. Glaciol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"51","DOI":"10.3189\/S0022143000017755","article-title":"Variations in snowpack melt on the Greenland ice sheet based on passive-microwave measurements","volume":"41","author":"Anderson","year":"1995","journal-title":"J. Glaciol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"293","DOI":"10.5194\/essd-9-293-2017","article-title":"The global SMOS Level 3 daily soil moisture and brightness temperature maps","volume":"9","author":"Mialon","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1109\/36.942551","article-title":"Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission","volume":"39","author":"Kerr","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","first-page":"325","article-title":"Multi-source data fusion of Antarctic ice sheet freeze-thaw datasets (1999\u20132019)","volume":"4","author":"Liu","year":"2020","journal-title":"J. Glob. Change Data"},{"key":"ref_27","unstructured":"Colbeck, S.C. (1996). Glaciers, Ice Sheets and Volcanoes: A Tribute to Mark F. Meier, US Army Cold Regions Reattach and Engineering (CRREL). CRREL 96-27 Special Report."},{"key":"ref_28","first-page":"872","article-title":"Summer surface temperature changes in the Greenland ice sheet from 2000 to 2020 and their implications for material bal-ance","volume":"44","author":"Fang","year":"2022","journal-title":"Glacial Permafr."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2114","DOI":"10.1002\/grl.50240","article-title":"Variability in the surface temperature and melt extent of the Greenland ice sheet from MODIS","volume":"40","author":"Hall","year":"2013","journal-title":"Geophys. Res. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Hall, D.K., and DiGirolamo, N.E. (2019). Multilayer Greenland Ice Surface Temperature, Surface Albedo, and Water Vapor from MODIS, Version 1.","DOI":"10.3390\/rs10040555"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Yu, X., Wang, T., Ding, M., Wang, Y., Sun, W., Zhang, Q., and Huai, B. (2022). Assessment of MODIS Surface Temperature Products of Greenland Ice Sheet Using In-Situ Measurements. Land, 11.","DOI":"10.3390\/land11050593"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"eaav3738","DOI":"10.1126\/sciadv.aav3738","article-title":"Greenland Ice Sheet surface melt amplified by snowline migration and bare ice exposure","volume":"5","author":"Ryan","year":"2019","journal-title":"Sci. Adv."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1109\/LGRS.2012.2224316","article-title":"Supraglacial streams on the Greenland Ice Sheet delineated from combined spectral\u2013shape information in high-resolution satellite imagery","volume":"10","author":"Yang","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_34","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_35","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(95)00137-P","article-title":"Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data","volume":"54","author":"Hall","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Moussavi, M., Pope, A., Halberstadt, A.R.W., Trusel, L.D., Cioffi, L., and Abdalati, W. (2020). Antarctic supraglacial lake detection using Landsat 8 and Sentinel-2 imagery: Towards continental generation of lake volumes. Remote Sens., 12.","DOI":"10.3390\/rs12010134"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"e2021GL096690","DOI":"10.1029\/2021GL096690","article-title":"Greenland Ice Sheet Daily Surface Melt Flux Observed From Space","volume":"49","author":"Zheng","year":"2022","journal-title":"Geophys. Res. Lett."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.5194\/tc-14-1209-2020","article-title":"Unprecedented atmospheric conditions (1948\u20132019) drive the 2019 exceptional melting season over the Greenland ice sheet","volume":"14","author":"Tedesco","year":"2020","journal-title":"Cryosphere"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"113688","DOI":"10.1016\/j.rse.2023.113688","article-title":"Multi-sensor imaging of winter buried lakes in the Greenland Ice Sheet","volume":"295","author":"Zheng","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Shang, X., Cheng, X., Zheng, L., Liang, Q., and Chi, Z. (2022). Decadal Changes in Greenland Ice Sheet Firn Aquifers from Radar Scatterometer. Remote Sens., 14.","DOI":"10.3390\/rs14092134"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"SHE 20-1","DOI":"10.1029\/2000JC000438","article-title":"Seasonal evolution of the albedo of multiyear Arctic sea ice","volume":"107","author":"Perovich","year":"2002","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"15335","DOI":"10.1029\/2000JD900275","article-title":"Airborne observations of summertime surface features and their effect on surface albedo during FIRE\/SHEBA","volume":"106","author":"Tschudi","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1175\/1520-0442(1995)008<0240:SIACFM>2.0.CO;2","article-title":"Sea Ice-Albedo Climate Feedback Mechanism","volume":"8","author":"Curry","year":"1995","journal-title":"J. Clim."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"M\u00e4tzler, C. (2006). Thermal Microwave Radiation: Applications for Remote Sensing, IET.","DOI":"10.1049\/PBEW052E"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/JOE.1984.1145644","article-title":"Microwave dielectric properties of surface snow","volume":"9","author":"Matzler","year":"1984","journal-title":"IEEE J. Ocean. Eng."},{"key":"ref_47","unstructured":"Matzler, C., Schanda, E., Hofer, R., Good, W., and Rango, A. (1980, January 5\u20137). Microwave signatures of the natural snow cover at Weissfluhjoch. Proceedings of the NASA Conference Publication, Hampton, VA, USA."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"153","DOI":"10.3189\/S0022143000017846","article-title":"Positive degree-day factors for ablation on the Greenland ice sheet studied by energy-balance modelling","volume":"41","author":"Braithwaite","year":"1995","journal-title":"J. Glaciol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/10\/1673\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:42:27Z","timestamp":1760107347000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/10\/1673"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,9]]},"references-count":48,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,5]]}},"alternative-id":["rs16101673"],"URL":"https:\/\/doi.org\/10.3390\/rs16101673","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,5,9]]}}}