[{"@context":"http:\/\/schema.org\/","@type":"Dataset","identifier":"https:\/\/doi.org\/10.17043\/schytt-mannerfelt-2022-marma-geodetic-1","@id":"https:\/\/doi.org\/10.17043\/schytt-mannerfelt-2022-marma-geodetic-1","name":"Geodetic mass balance data for M\u00e5rmaglaci\u00e4ren, northern Sweden, 1959\u2060\u200a\u2013\u200a\u20602021","description":"Geodetic mass balance estimates of M\u00e5rmaglaci\u00e4ren between 1959, 1978, 1991, 2008, 2016 and 2021.\r\n\r\nThe glacier is located in the M\u00e5rma massif, in northern Sweden, approximately 25 kilometres to the northwest from the Tarfala Research Station, which is Stockholm University\u2019s centre for glaciological and alpine research.\r\n\r\nThe estimates, derived from Digital Elevation Model (DEM) differencing, enable a high accuracy understanding of the mass change of the glacier since the mid-1900s. They can also be used for constraints of future mass loss predictions. ","url":"http:\/\/bolin.su.se\/data\/schytt-mannerfelt-2022-marma-geodetic-1","keywords":["Terrestrial","Glaciers","Glacier","Mass balance","Geodetic","Aerial image","DEM","Tarfala Research Station","M\u00e5rma","Area","Volume","Elevation","Change","Earth science > Climate indicators > Cryospheric indicators > Glacial measurements > Glacier mass balance\/ice sheet mass balance"],"creator":{"@type":"Person","name":"Erik Schytt Mannerfelt"},"citation":"Huss M (2013) Density assumptions for converting geodetic glacier volume change to mass change. The Cryosphere 7:877\u2060\u200a\u2013\u200a\u2060887. doi:10.5194\/tc-7-877-2013\r\n\r\nSchytt Mannerfelt E (2022a) Digital elevation models from M\u00e5rmaglaci\u00e4ren and M\u00e5rmapakteglaci\u00e4ren, northern Sweden, 1959\u2060\u200a\u2013\u200a\u20602021. Dataset version 1. Bolin Centre Database. doi:10.17043\/schytt-mannerfelt-2022-marma-dem-1\r\n\r\nSchytt Mannerfelt E (2022b) Code to prepare, homogenise and analyse digital elevation models from M\u00e5rmaglaci\u00e4ren and M\u00e5rmapakteglaci\u00e4ren, northern Sweden. Software version 1.0.0. Bolin Centre Code Repository. doi:10.57669\/schytt-mannerfelt-2022-marma-1.0.0","license":"https:\/\/opendatacommons.org\/licenses\/by\/","isAccessibleForFree":true,"includedInDataCatalog":{"@type":"DataCatalog","name":"Bolin Centre for Climate Research, Stockholm University","identifier":"https:\/\/bolin.su.se\/data\/","url":"https:\/\/bolin.su.se\/data\/"},"distribution":{"@type":"DataDownload","encodingFormat":"text\/plain","contentUrl":"https:\/\/bolin.su.se\/data\/uploads\/schytt-mannerfelt-2022-marma-geodetic-1.csv"},"size":1213,"isBasedOn":"Huss M (2013) Density assumptions for converting geodetic glacier volume change to mass change. The Cryosphere 7:877\u2060\u200a\u2013\u200a\u2060887. doi:10.5194\/tc-7-877-2013\r\n\r\nSchytt Mannerfelt E (2022a) Digital elevation models from M\u00e5rmaglaci\u00e4ren and M\u00e5rmapakteglaci\u00e4ren, northern Sweden, 1959\u2060\u200a\u2013\u200a\u20602021. Dataset version 1. Bolin Centre Database. doi:10.17043\/schytt-mannerfelt-2022-marma-dem-1\r\n\r\nSchytt Mannerfelt E (2022b) Code to prepare, homogenise and analyse digital elevation models from M\u00e5rmaglaci\u00e4ren and M\u00e5rmapakteglaci\u00e4ren, northern Sweden. Software version 1.0.0. Bolin Centre Code Repository. doi:10.57669\/schytt-mannerfelt-2022-marma-1.0.0","temporalCoverage":"1959-09-23\/1959-09-23"}]