902fc4d8-db74-46c9-b7eb-c988f5325903 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 2019-03-22 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 Runoff and basic water quality parameters at Adventdalen, Svalbard (2015-2016) 2019-03-22 creation 2019-03-22 revision 2019-03-22 publication 2019-03-22 released 1.0 https://doi.org/10.5285/902fc4d8-db74-46c9-b7eb-c988f5325903 doi GB/NERC/BAS/PDC/01139 https://data.bas.ac.uk/ NE/M019829/1 award Please cite this item as: Nowak, A., & Randall, J. (2019). Runoff and basic water quality parameters at Adventdalen, Svalbard (2015-2016) (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/902fc4d8-db74-46c9-b7eb-c988f5325903 Adventdalen is a medium-sized (513 km2) catchment in continuous permafrost zone of central Spitsbergen. It is an important study area, but the river is highly unsuitable for monitoring runoff on account of the high sediment yield and extremely unstable channel sections in the large delta. This necessitates the estimation of runoff volume through the application of a suitable model. Daily runoff was therefore simulated using daily precipitation and temperature data series (1991-2016) and the HBV model. Daily water temperature and electrical conductivity were also monitored at the point of interest to provide basic water quality parameters alongside the runoff quantity data. Funding was provided by the NERC grant NE/M019829/1. No credit. completed Nowak, Aga Department of Geography, University of Sheffield Researcher author Randall, Jamie University of Sheffield 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 > Frozen Ground > Permafrost EARTH SCIENCE > Cryosphere > Snow/Ice > Permafrost EARTH SCIENCE > Hydrosphere > Snow/Ice > Permafrost EARTH SCIENCE > Hydrosphere > Surface Water > Runoff EARTH SCIENCE > Hydrosphere > Surface Water > Surface Water Chemistry EARTH SCIENCE > Hydrosphere > Water Quality/Water Chemistry > Conductivity EARTH SCIENCE > Hydrosphere > Water Quality/Water Chemistry > Water Temperature 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 Arctic Conductivity HBV model Runoff Svalbard Temperature theme Adventdalen, Svalbard Arctic place Meteorological geographical features Hydrography 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 This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions This data is governed by the NERC data policy and supplied under Open Government Licence v.3 otherRestrictions No restrictions apply. url url largerWorkCitation doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference doi doi crossReference url url crossReference url url crossReference doi doi crossReference textTable eng utf8 environment 15.82849 15.82849 78.20389 78.20389 2015-01-01 2016-12-31 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/vnd.ms-excel text/plain bytes 41984 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=902fc4d8-db74-46c9-b7eb-c988f5325903 WWW:LINK-1.0-http--link Get Data Download data download bytes 41984 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=902fc4d8-db74-46c9-b7eb-c988f5325903 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Adventdalen is a medium-sized (513 km2) catchment in continuous permafrost zone of central Spitsbergen. It is an important study area, but the river is highly unsuitable for monitoring runoff on account of the high sediment yield and extremely unstable channel sections in the large delta. This necessitates the estimation of runoff volume through the application of a suitable model. Daily runoff was therefore simulated using daily precipitation and temperature data series (1991-2016) for Svalbard Lufthavn (Longyearbyen airport) from the Norwegian Meteorological Institute's eklima.met.no website. Approximately 37% of the precipitation series had missing values, which were treated as zeros. After Killingtveit [2004], the precipitation record required an undercatch adjustment of 1.65 for snowfall and 1.15 for rainfall. An alternative approach involving modelling precipitation using a regional climate model and statistical downscaling yielded no improvement and so is not described here. Runoff observations were simulated at a daily time step using the well-known HBV package (https://www.geo.uzh.ch/en/units/h2k/Services/HBV-Model.html). Calibration and validation was undertaken using input data from De Geerdalen, spanning 1st August 1991-31st December 2001. These data were combined with observed temperature and precipitation (as from above) data for the same period, in an input .txt file. De Geerdalen is a long-term monitoring site adjacent to Adventdalen, where data are collected from a semi-permanent installation near the coast by the Norwegian Water and Energy Administration (see Sund, 2008). Although monitoring runoff volume was not successful, basic water quality parameters: electrical conductivity (in µS cm-1) and water temperature (in oC) were successfully monitored using a Campbell Scientific Cr800 data logger with a Cr247 sensor. Daily averages of hourly values are included in this file. HBV calibration using De Geerdalen is explained in further detail in the README file. References: Killingtveit A., 2004, Water balance studies in two catchments in Spitsbergen, Svalbard, Northern Research Basins Water Balance, Proceedings of a workshop held at Victoria, Canada, March 2004), IAHS Publication Number: 290, 2004. Sund, M. 2008. Polar Hydrology. NVE Report No. 2, 2008. Oslo, Norway. http://publikasjoner.nve.no/report/2008/report2008_02.pdf Data quality: The calibration of De Geerdalen resulted in a Reff = 0.8454(Nash-Sutcliffe efficiency equation) with a mean difference between the observed and simulated discharge of -17 mm/year. The results of the De Geerdalen GAP optimisation can be found in the README file. Note: there is more uncertainty over the winter rainfall events, whose impact were very marked in 2016. Therefore runoff data are included as two series, one with and one without runoff during the winter season. asNeeded completed