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Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data CentreShow more...
Abstract:
The product is based on a manual interpolation of available insitu observations. This dataset is the predecessor of the gridded ice charts based on satellite data and other sources. This dataset primarily identifies the sea ice edge.License :
Access: OpenCryoClim (CryoClim)
Institutions: Norwegian Water Resources and Energy Directorate (NVE)Show more...
Abstract:
Registered incidents of Glacier Lake Outburst floods (GLOFs) in mainland Norway. http://glacier.nve.no/viewer/GLOF/en/cc/Access: FreeCryoClim
Institutions: Norwegian Water Resources and Energy Directorate (NVE)Show more...
Abstract:
The climate change indicator products of glaciers in mainland Norway include surface mass balance and length change (from NVE’s field observations) and area changes (from satellite imagery and topographical maps) for a selection of glaciers. Glacier surface mass balance and glacier length change are obtained directly from NVE’s databases.
http://glacier.nve.no/Glacier/viewer/CI/en/ccAccess: Free-
CryoClim (CryoClim)
Institutions: Norwegian Water Resources and Energy Directorate (NVE)Show more...
Abstract:
Glacier Periodic photos (GPP) from Norwegian glaciers. The photo series illustrate how the extent of a selection of Norwegian glaciers have changed. The pictures are not taken from the same position each year. The earliest photos are from the 1860s. The majority of the pictures are from the last 20 years. The number of photos per glacier varies. The source of the data is NVEs photo archive, with contributions from NVE collaborators. http://glacier.nve.no/Glacier/viewer/gpp/en/cc/Access: Free Show more...
Abstract:
The UNIS Hydrographic Database (UNIS HD) is a collection of temperature and salinity profiles from the area (0-34°E and 75-83°N). Main data contributors are The University Centre in Svalbard (UNIS), University of Bergen (UiB), Institute of Marine Research (IMR), Norwegian Polar Institute (NPI), the Arctic University of Norway (UiT), Institute of Oceanology Polish Academy of Sciences (IOPAS), The Scottish Association for Marine Science (SAMS), Arctic and Antarctic Research Institute (AARI), and Alfred Wegener Institut (AWI). Additional data in the database have been extracted from other data publishers; the Norwegian Marine Data Centre (NMDC, https://www.nmdc.no), the dataset catalogue of the Norwegian Polar Institute (https://data.npolar.no/dataset), the International Council for the Exploration of the Sea (ICES) dataset on ocean hydrography (https://ocean.ices.dk/HydChem), the PANGAEA data publisher (https://www.pangaea.de), the North Atlantic and Nordic Seas hydrography collection (NANSHY; Nilsen, 2015) based on the dataset from the project Norwegian Iceland Seas Experiment (NISE; Nilsen et al., 2008), and the Unified Database for Arctic and Subarctic Hydrography (UDASH; Behrendt et al., 2018). Data are processed with standard software from the instrument manufacturers, and most of them calibrated with in situ water bottle analysis and post-cruise calibration. However, calibration has not been quality checked in all the data, so use with caution (salinity values in particular). Duplicate data and outliers are removed. Remaining profiles are provided with information of owner or source institution and citation when possible (see Citation list).-
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Abstract:
The Sea Bird Colony Database contains current and historical data for all known seabird colonies in Svalbard and around the Barents Sea, including total counts, surveillance data, photographic documentation and references. The database is owned and annually maintained by the Norwegian Polar Institute in partnership with seven Russian institutions.Access: Access to the database is restricted as only the Norwegian content is licenced. Conditions apply to the Russian content. -
CryoClim (CryoClim)
Institutions: Norwegian Water Resources and Energy Directorate (NVE)Show more...
Abstract:
Glacier Area Outline (GAO) for western Finnmark from the period 1895-1907. Source:
"Gradteigskart" constructed from land surveys between 1895-1907, three paper maps printed at a scale of 1:100 000 include the five largest ice caps - Normannsjøkelen, Seilandsjøkelen, Øksfjordjøkelen, Svartfjelljøkelen and Langfjordjøkelen. The maps were georeferenced and digitised by NVE. The maps have poorer accuracy compared to N50-maps, and rubber sheeting was needed to do a transformation. The glacier outlines are uncertain and must be taken as a rough estimate due to the poorer quality of these old maps.Access: Free -
CryoClim
Institutions: Norwegian Water Resources and Energy Directorate (NVE)Show more...
Abstract:
Glacier Area Outline (GAO) for western Finnmark from the period 1895-1907. Topographic map information has been used to extend the Glacier Area Outline (GAO) time series prior to 1982. The sources are:
"Gradteigskart" constructed from land surveys between 1895-1907, paper maps printed at a scale of 1:100 000. Work was focused on geo-referencing, quality checking and digitizing glacier products from analogue maps. Obtaining glacier outlines from analogue maps required more advanced geo-referencing compared to the national N50-maps due to the lower quality of these maps.
The glacier outlines from three “gradteigskart” from the Øksfjord and Seiland region in West-Finnmark in Northern Norway have been digitized. These three map sheets include the five largest ice caps - Normannsjøkelen, Seilandsjøkelen, Øksfjordjøkelen, Svartfjelljøkelen and Langfjordjøkelen. The analogue maps were constructed in the beginning of 1900s (1895-1907). The maps have poorer accuracy compared to N50-maps, and rubber sheeting was needed to obtain a satisfactory accuracy. Many and good ground control points were needed to do a satisfactory transformation on the raster map. First two XY points were used to drag the map to the approximately right area. These two points were later be included in all of the transformation methods. While the first order polynominal transformation is used for georeferencing the N50 maps, other transformation methods were needed for the “gradteigskart”. Three other transformation methods were tested: third order polynominal, spline and adjust. When using the second order polynominal transformation as a reference, the area changes up to 1.6 km2 using the spline transformation method. Therefore, the transformation method affect the glacier area when digitized from these maps, and the method must be carefully selected. The second order polynominal transformation were the used transformation method. After georeferencing the glacier outlines were digitized from the transformed maps.Access: Free - Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99840. Data are climate consistent following a number of automated and manual quality control routines.License :
Access: Open - Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99765. Data are climate consistent following a number of automated and manual quality control routines.License :
Access: Open -
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Abstract:
Digital geological map of Svalbard at the scale of 1:750000.
Subdivision of geology is according to stratigraphic group, subgroup or formation, depending on which is best applicable to the given scale. Where no formations are defined in parts of the geological basement, lithological units are defined instead -
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Abstract:
Digital geological map of Svalbard at the scale of 1:250000.
Subdivision of geology is according to stratigraphic group, subgroup or formation, depending on which is best applicable to the given scale. Where no formations are defined in parts of the geological basement, lithological units are defined instead. -
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Abstract:
Datasettet består av start- og sluttpunkt for kartlegging av strandsøppel og linjene mellom disse. Fra 2011 er det lagt om til ny metodikk, og overvåkingen vil heretter bare foregå på Brucebukta og Luftskipodden (ny lokalitet).Tidligere ble også Breibogen og Isflakbukta overvåka (med MOSJ-metodikk). OSPAR- og MOSJlokaliteter har ulik overvåkingsmetodikk.
- Brucebukta. I MOSJ blir ei 200 m lang strekning overvåka. I OSPAR blir ei 100 m lang strekning overvåka.
- Luftskipodden. Kun OSPAR-overvåking. Her blir ei 1 km strekning grovovervåka og ei 100 m strekning detaljovervåka.Mer detaljer om overvåkingsmetodikk:http://www.miljostatus.no/Tema/Hav-og-kyst/Barentshavet/Indikatorer-barentshavet/Indikator-Strandsoppel/ -
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Abstract:
Datasettet viser utmål som er i bruk på Svalbard etter Bergverksordningen for Svalbard. -
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Abstract:
Data on various environmental resources have been assessed for vulnerability to acute oil pollution and given a priority 1 to 3, 3 being the most vulnerable. Resources included are shoreline cultural heritage sites, walrus and harbour seal haul-out sites, seabird colonies, anadromous Arctic charr river outlets, and shoreline substrate. The dataset is meant to help prioritize clean-up efforts in the immediate phase after a spill has occurred.
