The Data Access Portal has information in 3 columns. An outline of the content in these columns is provided above. When first entering the search interface, all potential datasets are listed. Datasets are indicated in the map and results tabulation elements which are located in the middle column. The order of results can be modified using the "Sort by" option in the left column. On top of this column is normally relevant guidance information to user presented as collapsible elements.
If the user want to refine the search, this can be done by constraining the bounding box search. This is done in the map - the listing of datasets is automatically updated. Date constraints can be added in the left column. For these to take effect, the user has to push the button marked search. In the left column it is also possible to specific text elements to search for in the datasets. Again pushing the button marked "Search" is necessary for these to take action. Complex search patterns can be constructed using logical operators and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. Searches are case insensitive.
Other elements indicated in the left and right columns are facet searches, i.e. these are keywords that are found in the datasets and all datasets that contain these specific keywords in the appropriate metadata elements are listed together. Further refinement can be done using full text, date or bounding box constraints. Individuals, organisations and data centres involved in generating or curating the datasets are listed in the facets in the right column.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
Always remember to cite data when used!
Citation information for individual datasets is often provided in the metadata. However, not all datasets have this information embedded in the discovery metadata. On a general basis a citation of a dataset include the same components as any other citation:
author,
title,
year of publication,
publisher (for data this is often the archive where it is housed),
edition or version,
access information (a URL or persistent identifier, e.g. DOI if provided)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the Norwegian Meteorological Institute/Arctic Data Centre.
This collection contains a high-resolution (2.5 km) dataset of glacier mass balance and runoff in Franz Josef Land and Novaya Zemlya from 1991-2022, situated in one of the fastest warming regions in the Arctic. The dataset is created using a full energy balance model (the CryoGrid community model) forced by the Copernicus Arctic Regional ReAnalysis (CARRA) dataset (1991-2022). Each variable is available at both a daily and monthly resolution.
This collection contains a high-resolution (2.5 km) dataset of glacier mass balance, runoff and snow conditions in Svalbard from 1991-2022, one of the fastest warming regions in the Arctic. The dataset is created using a full energy balance model (the CryoGrid community model) forced by both the Copernicus Arctic Regional ReAnalysis (CARRA) dataset (1991-2021) and AROME-ARCTIC forecasts (2016-2022). Each variable is available at both a daily and monthly resolution.
Ice surface elevation and ice thickness data are available for a portion of the West Antarctic Ice Sheet. Ice surface elevations and ice thickness data are derived from laser altimetry and radar sounding results. These data are a result of the Corridor Aerogeophysics of the
Southeastern Ross Transect Zone (CASERTZ) experiments of the 1990s. The CASERTZ geophysical surveys were aimed at understanding geological controls on ice streams of the West Antarctic Ice Sheet, ultimately to help assess the potential for ice sheet collapse.
The Hydrologic Outlets of the Greenland Ice Sheet data set contains GIS point shapefiles that include 891 observed and potential hydrologic outlets of the Greenland Ice Sheet, as identified by Lewis and Smith (2009), using satellite imagery. There are 460 observed hydrologic outlets that include proglacial streams and rivers emerging from the ice sheet (length scale >1 km), proglacial lakes touching the ice edge or clearly connected to it via streams or rivers (length scale >3 km), and sediment-rich plumes exiting tidewater glaciers into fjords. Also, there are 431 potential hydrologic outlets that include point locations with release of meltwater from fjords without obvious sediment discharge, as well as locations where the ice sheet directly connects to the ocean that cannot be proven to release meltwater.
Meltwater features along the entire edge of the ice sheet were mapped via photo interpretation of GoogleEarth and Landsat ETM+ 15 m panchromatic data. The exact acquisition dates of the imagery are not available; however, owing to the light and relatively snow-free conditions seen in the GoogleEarth and Landsat images, it is presumed that they were taken during the summer season. Neither Landsat or GoogleEarth images were available for a section of ice sheet within the northern Tunu region; therefore, that region was excluded from the study. This excluded area represents approximately 0.9 percent of the ice sheet perimeter. Data are available via FTP, and can be read in any GIS software. The following journal article provides documentation for this data set: Lewis, Sarah and Laurence Smith. 2009. Hydrologic Drainage of the Greenland Ice Sheet. Hydrological Processes doi: 10.1002/hyp.7343. This journal article can be accessed from the Documentation link at the top of this Web page.
Major ion concentration values (Na, Mg, Ca, Cl, NO3, SO4, MSA) were analyzed from a 20-meter ice core drilled in Dronning Maud Land, Antarctica (location - 65 01' East, 75 00' South, elevation - 2,900 m.a.s.l.). The core was drilled during the austral summer 1991-1992. Major ion analysis was by ion chromatography. The anions
were analyzed on a Dionex AS4A column; the cations on a Dionex CS12 column and MSA on a Dionex AS4 column. All used suppressed chromatography. Using established protocols to prevent contamination,
the core was processed into 3-centimeter pieces by the Glacier Research Group at the University of New Hampshire's Climate Change Research Center. The 3-cm pieces were kept frozen until major ion analysis.
A meteorological station at 69 deg 15'N, 53 deg 34'W, Godhavn village, Greenland, measured air temperatures at 6 m above the ground, and soil temperatures (deg C) at 0.05 m, 0.6 m, 1.75 m, and 3 m below the surface. The station automatically measured data every half hour. Data extend from 01 January 1991 to 16 November 2002. Data are in tab-delimited ASCII text format and are available via FTP.
This data set includes meteorological measurements at a permafrost mound at Kangiqsualujjuaq (George River), Quebec, Canada. Parameters include ground temperature, air temperature, soil moisture, and ice content. Measurements were taken every hour, and stored every 60 minutes for air temperature, and every 720 minutes for ground temperature.
The Hydrologic Sub-basins of Greenland data set contains Geographic Information System (GIS) polygon shapefiles that include 293 hydrologic sub-basins of the Greenland Ice Sheet, as created by Lewis and Smith (2009). Five km Digital Elevation Models (DEMs) of ice-surface and bedrock topography (Bamber et al. 2001) were used to estimate the hydraulic potentiometric surface for Greenland, which accounts for the effects of ice overburden pressure, such as hydrostatic pressure, surface topography, and underlying bedrock topography (Paterson 1994). Using the 5 km potentiometric grid, a modeled basin network for Greenland's ice sheet was created using the hydrological tools within ESRI ArcGIS (ArcInfo 9.2). Although the GIS initially generated more than 293 basins, basins less than 100 km2 in size, as well as basins located completely outside of the ice sheet extent, were removed from the data set. Data are available via FTP, and can be read in any GIS software. The following journal article provides documentation for this data set: Lewis, Sarah and Laurence Smith. 2009. Hydrologic Drainage of the Greenland Ice Sheet. Hydrological Processes DOI: 10.1002/hyp.7343. This journal article can be accessed from the Documentation link at the top of this Web page.
This data set consists of Upward Looking Sonar (ULS) data from 11 moorings in the Greenland Sea. Parameters in the processed data files include ice draft, water pressure, and water temperature. Raw data files with sonar travel time, and files with draft frequency of occurrence, are available as well. A single statistical file for each mooring summarizes that mooring's record. These data were contributed by the Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany, in 2002 and 2004, as a contribution to the World Climate Research Programme's Arctic Climate System Study/Climate and Cryosphere (ACSYS/CliC) Project. Data are available via FTP.
NSIDC strongly encourages you to register as a user of this data product. As a registered user, you will be notified of updates and corrections. When registering, please include the title of this data set, AWI Moored ULS Data, Greenland Sea and Fram Strait, 1991-2002.
These data sets include Surface Meteorological Data (D100, D105, Tanggula Pass, Wetland), Ground Temperature (D100, D105, Tanggula Pass, Wetland), Soil Moisture Data, Evaporation, and soil physical properties. These data sets include maximum, mean, minimum air temperature, wind speed, relative humidity, global solar radiation, reflected solar radiation, atmospheric pressure, ground surface and soil temperature, soil moisture content, and soil physical properties. Numerous papers have been published by the investigators using these data sets; references are not available as of March 1998. These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.
Ground based in situ observations of wet_only_sampler at St. Koloman (AT0004R). These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), ammonium in precip (mass_concentration_of_ammonium_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), chloride in precip (mass_concentration_of_chloride_in_precipitation), conductivity in precip (conductivity_in_precipitation), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), nitrate in precip (mass_concentration_of_nitrate_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), potassium in precip (mass_concentration_of_potassium_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: FI01L, Finnish Meteorological Institute, FMI, Atmospheric Composition Unit, Erik Palménin aukio, FI-00560, Helsinki, Finland, FI01L, Finnish Meteorological Institute, FMI, Atmospheric Composition Unit, Erik Palménin aukio, FI-00560, Helsinki, Finland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of filter_2pack at Utö (FI0009R). These measurements are gathered as a part of the following projects HELCOM, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_in_dry_aerosol_particles_in_air), sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air), sum_nitric_acid_and_nitrate in air+aerosol (mass_concentration_of_sum_nitric_acid_and_nitrate_expressed_as_nitrogen_in_aerosol)
License : HELCOM: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: PT01L, Dir. Reg. do Amb. Rec. Naturais do Alentejo, Laboratorio de Santo Andre, Apartado 85, P-7501 SANTO ANDRE CODEX, Portugal, PT01L, Dir. Reg. do Amb. Rec. Naturais do Alentejo, Laboratorio de Santo Andre, Apartado 85, P-7501 SANTO ANDRE CODEX, Portugal
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Viana do Castelo (PT0003R). These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), precipitation_amount_off in precip (mass_concentration_of_precipitation_amount_off_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), chloride in precip (mass_concentration_of_chloride_in_precipitation), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), nitrate in precip (mass_concentration_of_nitrate_in_precipitation), potassium in precip (mass_concentration_of_potassium_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: DE13L, Deutscher Wetterdienst, DWD/MOL, Lindenberg Meteorological Observatory, Am Observatorium 12, OT Lindenberg, 15848, Tauche, Germany, DE13L, Deutscher Wetterdienst, DWD/MOL, Lindenberg Meteorological Observatory, Am Observatorium 12, OT Lindenberg, 15848, Tauche, Germany
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of aerosol_optical_depth at Zingst (DE0009R) using sun_tracking_filter_radiometer. These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
Institutions: DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark, DK01L, National Environmental Research Institute, NERI, P.O.Box 358, Fredriksborgvei 399, DK-4000 Roskilde, Denmark
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of filter_3pack at Anholt (DK0008R). These measurements are gathered as a part of the following projects HELCOM, CAMP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_in_dry_aerosol_particles_in_air), sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air), sum_ammonia_and_ammonium in air+aerosol (mass_concentration_of_sum_ammonia_and_ammonium_in_aerosol), sum_nitric_acid_and_nitrate in air+aerosol (mass_concentration_of_sum_nitric_acid_and_nitrate_expressed_as_nitrogen_in_aerosol)
License : HELCOM: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., CAMP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).