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.
Institutions: IOPAS, IOPAS, Tropos, PMOD/WRC, PMOD/WRC, NILU, AWI, UVa-GOA, IGFPAS, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
High resolution aerosol optical depth from Sverdrup Station in Ny Ålesund (instruments: PFR, lunar PFR), AWIPEV Station in Ny-Ålesund (instruments: SP1A, Cimel), Polish Polar Station at Hornsund (instrument: Cimel), RV Oceania and RV Polarstern (instrument: Microtops), as part of the ReHearsol Project.
Orthophoto Image is an image that color aerial photograph is converted to orthophoto and mosaic effects are added to it. Geometrically corrected data is available
The Arctic Challenge for Sustainability II, Arctic Challenge for Sustainability
Last metadata update: 2022-11-28T00:00:00Z
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Abstract:
We provide monthly data for sea ice production (m/month) and occurrence rates of thin ice and active frazil for all sea ice-covered oceans in the Northern Hemisphere during the winters (September-May) of 2002/2003 to 2010/2011. The sea ice data are mapped onto the National Snow and Ice Data Center (NSIDC) polar stereographic projection with a grid spacing of 6.25 km. For information on how to access the geolocation data, please see the website of NSIDC (https://nsidc.org/data/user-resources/help-center/guide-nsidcs-polar-stereographic-projection). The monthly occurrence rates of thin ice and active frazil are calculated by using daily thin ice type retrieved from AMSR-E microwave data. The estimation of ice production is based on a heat flux calculation that uses ERA5 reanalysis product and AMSR-E ice thickness improved by taking account of the ice type. The calculation period of the occurrence rates includes the sea ice melt season, in which the accuracy of thin ice detection is considerably reduced. When thin ice is detected in the melt season, pixels with a positive net heat flux are excluded from the judgment of thin ice and active frazil because they are not considered to be newly formed ice.
Orthophoto Image is an image that color aerial photograph is converted to orthophoto and mosaic effects are added to it. Geometrically corrected data is available
Spectral slope of the coloured dissolved organic matter (CDOM) in the Arctic ocean surface layer estimated from satellite remote sensing reflectance observed by NASA AQUA/MODIS, using the method described by Fichot et al. 2013. Monthly spectral slope is calculated from the Level 3 monthly remote sensing reflectance at 443, 488, 531, 555 and 667 nm. Temporal resolution of the satellite data is monthly, and nominal spacial resolution is 4km. Data period covers July 2002 to December 2018.
Fichot et al., Pan-Arctic distributions of continental runoff in the Arctic Ocean, Scientific Report, 3, 1053, doi: 10.1038/srep01053, 2013.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
New and improved estimates of sea ice production in the Arctic Ocean are derived from AMSRE satellite and atmospheric reanalysis data for the period 2002-2011, at a spatial resolution of 6.25 km and using a newly developed fast-ice mask. High ice production in the major coastal polynyas is well demonstrated.
This dataset was obtained using PV Soya in the southern Sea of Okhotsk in February 2002, in collaboration between Japan Coast Guard and Hokkaido University to monitor the ice conditions associated with the global warming and improve our understanding of sea ice processes. The dataset is composed of the meteorological data (surface air pressure, air temperature, vapor pressure, winds, and longwave and shortwave radiation) recorded on board at an interval of one minute, the ice thickness data measured with a video system, and hourly visual observation records conducted according to the international ASPeCt protocol. The data format is available in the file, named "eadme_soya_2002.docx.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
New and improved estimates of thin sea-ice thickness in the Arctic Ocean are derived from AMSR-E satellite for the period 2002-2011, at a spatial resolution of 6.25 km and using a newly developed fast-ice mask. The algorithm is based on comparisons between the polarization ratio (PR) of AMSR-E brightness temperatures from the 89 and 36 GHz channels (PR89 and PR36) and the thermal ice thickness. The thermal ice thickness is estimated from a heat budget calculation using the ice surface temperature from clear-sky Moderate-Resolution Imaging Spectroradiometer (MODIS) infrared data. Whereas coastal polynyas have been the main target of previous algorithms, this algorithm is also applicable for marginal ice zones. AMSR-E has twice the spatial resolution of Special Sensor Microwave/Imager (SSM/I) data and can therefore resolve polynyas at a smaller scale. Although the spatial resolution of the 89 GHz data (6.25 km) is twice that of the 36 GHz data (12.5 km), the 89 GHz data can be contaminated by atmospheric water vapor. We propose an exclusion method of data affected by water vapour to resolve this issue.
The exponent of the chlorophyll-a (Chla) size distribution (CSD slope), which is an index of synoptic size structure of a phytoplankton community, was estimated based on spectral shape of the phytoplankton absorption coefficient using satellite ocean color data (MODIS/Aqua).
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:49:40Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99927. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:49:40Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99735. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: SK01L, Slovak Hydrometeorological Institute, SHMU, Dep. of Atmospheric Chemistry, Jeseniova 17, 83315, Bratislava, Slovak Republic, SK01L, Slovak Hydrometeorological Institute, SHMU, Dep. of Atmospheric Chemistry, Jeseniova 17, 83315, Bratislava, Slovak Republic
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of filter_1pack at Topolniky (SK0007R). 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: arsenic in aerosol (mass_concentration_of_arsenic_in_dry_aerosol_particles_in _air), cadmium in aerosol (mass_concentration_of_cadmium_in_dry_aerosol_particles_in _air), chromium in aerosol (mass_concentration_of_chromium_in_dry_aerosol_particles_in _air), copper in aerosol (mass_concentration_of_copper_in_dry_aerosol_particles_in _air), lead in aerosol (mass_concentration_of_lead_in_dry_aerosol_particles_in _air), manganese in aerosol (mass_concentration_of_manganese_in_dry_aerosol_particles_in _air), nickel in aerosol (mass_concentration_of_nickel_in_dry_aerosol_particles_in _air), zinc in aerosol (mass_concentration_of_zinc_in_dry_aerosol_particles_in _air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Ground based in situ observations of sun_tracking_filter_radiometer at Ryori (JP1020R). 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), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
Institutions: SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden, SE01L, Swedish Environmental Research Institute, IVL, P.O.Box 47086, S-402 58 GÖTEBORG, Sweden
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Pallas (Matorova) (FI0036R). These measurements are gathered as a part of the following projects AMAP, 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), mercury in precip (mass_concentration_of_mercury_in_precipitation)
License : AMAP: For scientific purposes, access to the AMAP data is unlimited but by their use you accept that an offer of co-authorship will be made through personal contact with the data producer or owner., EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: NL01L, Rijks institut voor volksgezondheid en milieuhygiene, RIVM, Antoine van Leeuwenhoeklaan 9, Postbus 1, NL-3720 BA BILTHOVEN, The Netherlands, NL01L, Rijks institut voor volksgezondheid en milieuhygiene, RIVM, Antoine van Leeuwenhoeklaan 9, Postbus 1, NL-3720 BA BILTHOVEN, The Netherlands
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of wet_only_sampler at Kollumerwaard (NL0009R). These measurements are gathered as a part of the following projects CAMP, EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: acidity in precip (mass_concentration_of_acidity_in_precipitation), 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), 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_total in precip (mass_concentration_of_sulphate_total_in_precipitation)
License : 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).