aa34005e-42ac-4204-8cb0-98c15d63761e eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2023-08-31 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Shapefiles of volcanoes and nearby glaciers in South America used to demonstrate the link between glacier equilibrium line altitude (ELA) and volcano thermal anomaly. 2023-08-31 creation 2023-08-31 revision 2023-08-31 publication 2023-08-31 released 1.0 https://doi.org/10.5285/aa34005e-42ac-4204-8cb0-98c15d63761e doi GB/NERC/BAS/PDC/01772 https://data.bas.ac.uk/ NE/W003724/1 award Please cite this item as: Howcutt, S. (2023). Shapefiles of volcanoes and nearby glaciers in South America used to demonstrate the link between glacier equilibrium line altitude (ELA) and volcano thermal anomaly. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/aa34005e-42ac-4204-8cb0-98c15d63761e This dataset comprises four distinct shapefiles, which were used to demonstrate how glacier ELA is affected by volcanic thermal conditions, in the Andes, South America. With the exception of '139_Remapped_Glaciers.shp', the shapefiles are obtained from existing, open access data from the Randolph Glacier Inventory (RGI 6.0) and the Global Volcanism Program 2013, but with the addition of information, in the shapefile's attribute table, relevant to the study of the interaction between glaciers and volcanoes, as obtained via the GIS analysis of these datasets. The '600_RGI_Glaciers.shp' shapefile comprises 600 (land-terminating, no debris-covered, > 0.1 km2) glacier polygons, which are located within 15 km from a Holocene (erupted in the past 10,000 years) volcano in South America. Crucially, the equilibrium line altitude (i.e., the elevation on the glacier where the surface mass balance, measured over 1 yr, is zero) and distance to the nearest volcano for each glacier is reported in the attribute table. The '37_GVP_Volacanoes.shp' shapefile contains points for 37 South America Holocene volcanoes which have glaciers both within 1 km (volcanic-glaciers), and between 1 and 15 km (proximal glaciers). For each volcano, the difference in ELA between volcanic (<1km from volcano) and proximal (1-15 km) glaciers is reported in the attribute table, along with mean temperature and precipitation. The '139_Remapped_Glaciers.shp' shapefile provides detailed and updated (relative to RGI) mapping of glaciers (as polygons) that are located within 15 km from 13 South America Holocene volcanoes for which thermal anomaly is known. The ELA of these glaciers is calculated and reported in the attribute table. The '13_AVTOD_Volacanoes.shp' shapefile comprises the points for 13 Holocene volcanoes that have glaciers both within 1 km (volcanic-glaciers), and between 1 and 15 km (proximal glaciers) from their centre, as well as recorded thermal anomaly. The glacier ELA and volcano thermal data provided in the attribute table allows us to establish the quantitative relationship between volcanoes and glaciers. A detailed description of the study based on this dataset is provided in Howcutt et al. (2023). This project and data were supported by the NERC Global Partnerships Seedcorn fund (NE/W003724/1). No credit. completed Howcutt, Stephen University of Aberdeen Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Solid Earth > Volcanoes theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Andes ELA GPV RGI glacier glacio-volcanism ice-clad volcano volcano theme Andes South America place Elevation Geology theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions None doi doi dependency url url dependency doi doi crossReference url url largerWorkCitation doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference textTable eng utf8 geoscientificInformation imageryBaseMapsEarthCover location -75.32 -71.93 -40.98 4.9 2000-01-01 2020-12-31 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/octet-stream application/vnd.shp bytes 1992294 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=aa34005e-42ac-4204-8cb0-98c15d63761e WWW:LINK-1.0-http--link Get Data Download data download bytes 1992294 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=aa34005e-42ac-4204-8cb0-98c15d63761e WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: * 37_GVP_Volacanoes.shp and 13_AVTOD_Volacanoes.shp Ice-clad volcano points Situated in the Andes mountain chain, South America. Coordinates provided by the Global Volcano Programme (GVP) in csv/kml format. Holocene Occurrences: volcanoes with eruptions within the last 10,000 years. The Global Volcanism Program (GVP) inventory was used for these shapefiles, with kml points (and associated coordinates) downloaded from the Smithsonian Institution website and converted to shapefile format. The point feature classes were then reprojected from the WGS 1984 geographical coordinate system into the UTM zone 18S and imported into ArcGIS 10.8.1 for analyses. Volcanoes were filtered according to glacier local climatic and geomorphological properties of the corresponding nearby glacier outlines (see '600_RGI_Glacier.shp' entry). Thirty-seven volcanoes hosting glaciers within a radius of 1 km from the volcanic centre, and which were classified in GVP as Holocene (having been active within the last ~12,000 years), were classed as ice-clad volcanoes and used in this study. On each ice-clad volcano, a radius buffer was applied to differentiate volcanic-glaciers located <1 km from the volcanic centre and proximal glaciers located within 1-15 km of the volcanic centre. Glaciers are expected to be most strongly influenced by volcano thermal condition when located on or close to the volcanic centre (<1 km). Beyond this distance, the volcanic (i.e., heat) influence on basal melting is anticipated to reduce progressively, and thus glacier elevation and size be increasingly controlled by climate. We set the proximal glacier buffer to 15 km to facilitate the assumption that climate within this radius, and therefore its influence on glacier elevation and ELA, can be viewed as uniform for each ice-clad volcano and the corresponding proximal glaciers. For 37_GVP_Volacanoes.shp the study presents results from the 37 ice-clad volcanoes which host a total of 600; 526 proximal and 74 volcanic-glaciers. Fields include GVP volcano name; [Delta]cELAmean (m). They also include total annual precipitation (Mean_TAP) and mean annual air temperature (mean_AAT) between 1970 and 2000, obtained from WorldClimVersion 2. For 13_AVTOD_Volacanoes.shp, The initial 37 ice-clad volcanoes (hosting a total of 600; 526 proximal and 74 volcanic-glaciers) were reduced to 13 volcanoes - for those with valid temperature observations captured by the ASTER Terra satellite instrument as part of the ASTER Volcanic Thermal Output Database (AVTOD). Calculated mean values for the maximum temperature anomalies were recorded for each volcano, and this was compared with each glacier's [Delta]ELAmean. Fields include GVP volcano name; mean_Tmax; [Delta]ELAmean (m). Statistical attributes were used to analyse the effect of measured volcanic thermal anomalies for these 13 ice-clad volcanoes on the glacier elevation (i.e., [Delta]cELAmean - see '139_Remapped_Glaciers.shp' ELA descriptor and calculation). Volcanic thermal anomalies (mean_Tmax) captured from the AVTOD (ASTER Volcanic Thermal Output Database) Latin America archive and [delta]Tmax: maximum temperature anomalies. * 139_Remapped_Glaciers.shp Glacier outline polygons existing nearby ice-clad volcanoes, output using a combination of automated and manual GIS-based mapping techniques. Situated in the Andes mountain chain, South America. Mapped by Mr. Stephen Howcutt Date range: 2018 to 2019 (summer ablation seasons). Thirteen volcanoes of the 37 initially analysed have a record of measured temperature anomalies, obtained between 2000 and 2018. A total of 139 nearby glacier outlines were re-mapped by means of a semi-automated mapping approach. This involved the application of supervised pixel training and maximum likelihood classification techniques in ArcMap 10.8.1 for extraction of polygons, using shortwave infrared fal...(63) Data collection: 13_AVTOD_Volacanoes.shp ASTER instrument, onboard the Terra satellite, detected and measured volcanic thermal features from space for 88 Central and South American volcanoes between 2000 and 2018, and maximum temperature anomalies ({delta}Tmax). Data quality: * 37_GVP_Volacanoes.shp and 13_AVTOD_Volacanoes.shp It is recognised that magma vent and tectonic structures could be complex for specific volcanoes (e.g., Nevado del Huila in Colombia) and hence GVP points can underestimate the extent and exact location of volcanic activity (thus, glacio-volcanic interactions). However, a volcano by volcano (field based) analysis of the magmatic geometry and geothermal heat flux each volcano was not feasible. * 600_RGI_Glaciers.shp and 139_Remapped_Glaciers.shp RGI/GLIMS have acknowledged that an ~5% gross geometry error was observed for the Southern Andes (region 17) for RGI 6.0 glacier outlines due to the inclusion of seasonal glacier-peripheral snow and transient ice, which was misclassified as glacial ice. Our exclusion of glaciers smaller than 0.1 km2 will have removed the likelihood of including at least some erroneously mapped snow patches and seasonal ice cover. While checking and potentially re-mapping all 74 volcanic- and 526 proximal glaciers would have been unfeasible within the scope of this particular study, we attempted to correct such factors for 13 volcanoes with a record of measured thermal anomalies (analysis central to this research), for which all glaciers outlines were re-mapped by applying a semi-automated mapping process. Using this technique, we could efficiently extract glacier polygons before carrying out manual adjustments to improve alignment with the glacier margins observed on short-wave false colour composite imagery. asNeeded completed