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.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-11-17T00:00:00Z
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Abstract:
The modeling group (GTM) in the terrestrial ecosystem research project of the GRENE Arctic Climate Change Research Project (GRENE-TEA) aims to a)feed to the coupled global climate model (CGCM) research project for the possible improvement of the physical and ecological processes for the Arctic terrestrial modeling (excl. glaciers and ice sheets) in the extant terrestrial schemes in the CGCMs, and b) lay the foundations of the future-generation Arctic terrestrial model development. To achieve these goals GTM conducts a model intercomparison project (GTMIP) among the openly participating models. The GTMIP is designated to 1) enhance communications and understanding of the "mind and hands" between the modeling researchers and field scientists, 2) assess the uncertainty and variations stemmed from the extant model implementation/designation, and the variability due to climatic and historical conditions among the Arctic sites, and 3) feed such information and evaluations to the future-generation Arctic terrestrial model development. The GTMIP comprised of two stages: the first using observation data at the GRENE-TEA sites (stage 1) and the second using CGCM outputs for circumpolar regions (stage 2) to drive and validate the models. The meteorological variables provided for model forcing are total precipitation (Pr), air temperature at reference height (Tair), surface pressure (Psurf), wind speed at reference height (Wind), surface incident shortwave radiation (SWdown), surface incident long wave radiation (LWdown), and specific humidity at reference height (Qair). The stage 1 provides two levels of the half-hourly datasets for the GTMIP sites, namey level 0 (L0) and level 1 (L1) for Fairbanks (Poker Flat Research Range), Alaska, USA; Kevo (Kevo Research Station), Finland; Tiksi, Sakha Republic, Russian Federation; Yakutsk (Spasskaya Pad), Sakha Republic, Russian Federation. This level of the data (L1) is intended to be a site-fitted, ready-to-feed-into-the-model set of the above meteorological data, processed tactically from L0 data and local observations at/near the GRENE-TEA sites. GTMIP Lv1.0 Model output (monthly and annual) dataset consist of model output data calculated with L1 forcing data, and observation data of main elements. All data are calculated into monthly and annual value in unified format.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
The modeling group (GTM) in the terrestrial ecosystem research project of the GRENE Arctic Climate Change Research Project (GRENE-TEA) aims to a) feed to the coupled global climate model (CGCM) research project for the possible improvement of the physical and ecological processes for the Arctic terrestrial modeling (excl. glaciers and ice sheets) in the extant terrestrial schemes in the CGCMs, and b) lay the foundations of the future-generation Arctic terrestrial model development. To achieve these goals GTM conducts a model intercomparison project (GTMIP) among the openly participating models. The GTMIP is designated to 1) enhance communications and understanding of the "mind and hands" between the modeling researchers and field scientists, 2) assess the uncertainty and variations stemmed from the extant model implementation/designation, and the variability due to climatic and historical conditions among the Arctic sites, and 3) feed such information and evaluations to the future-generation Arctic terrestrial model development. The GTMIP comprised of two stages: the first using observation data at the GRENE-TEA sites (stage 1) and the second using CGCM outputs for circumpolar regions (stage 2) to drive and validate the models. The meteorological variables provided for model forcing are total precipitation (Pr), air temperature at reference height (Tair), surface pressure (Psurf), wind speed at reference height (Wind), surface incident shortwave radiation (SWdown), surface incident long wave radiation (LWdown), and specific humidity at reference height (Qair). The stage 1 provides two levels of the half-hourly datasets for the GTMIP sites, namely the level 0 (L0) and level 1 (L1) for Fairbanks (Poker Flat Research Range), Alaska, USA; Kevo (Kevo Research Station), Finland; Tiksi, Sakha Republic, Russian Federation; Yakutsk (Spasskaya Pad), Sakha Republic, Russian Federation. This 20-year detrended meteorological dataset provides driving data for spin up, especially for biogeochemical models to set up initial soil carbon conditions, without being affected by warming trend and/or ENSO (El Nino Southern Oscillation). This dataset is based on L1 data for the period of 1980-1999.
Geological map data of Antarctica held by the National Institute of Polar Research and the Geospatial Information Authority of Japan. There are two types of data available: (data1: geometrically corrected data) and (data2: raw image data).
Daily time series of ice-algal productivity, ice-algal biomass, sea-ice concentration, snow depth, sea-ice thickness, sea-ice nitrate, and ocean surface nitrate for 1980-2009 simulated by five models. These models are developed in the the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), the University of Alaska Fairbanks (UAF), the University of Victoria (UVic), and the University of Washington (UW), respectively. Two packages of global and regional versions are provided by the UAF. The other three datasets are produced by pan-Arctic regional models. More detailed are described in Watanabe et al. [2019, Journal of Geophysical Research Oceans], where multi-model intercomparison of ice-algal productivity was conducted in the Forum for Arctic Modeling and Observational Synthesis (FAMOS) project. This study was supported by JSPS KAKENHI (18H03368).
Geological map data of Antarctica held by the National Institute of Polar Research and the Geospatial Information Authority of Japan. There are two types of data available: (data1: geometrically corrected data) and (data2: raw image data).
Ground based in situ observations of sulphur_dioxide at Bassum (DE0012R) using abs_solution. 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: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_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).
Institutions: SU01L, E.K.Fedorov Institute of Applied Geophysics, 107258 Moscow, Glebovskaya 20b, Soviet Union, SU01L, E.K.Fedorov Institute of Applied Geophysics, 107258 Moscow, Glebovskaya 20b, Soviet Union
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Beregovo (UA0007R). 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), pH in precip (mass_concentration_of_pH_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).
Ground based in situ observations of sulphur_dioxide at Hohenwestedt (DE0011R) using abs_solution. 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: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_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).
Institutions: GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom, GB02L, AEA Technology, National Environmental Techn. Centre, Culham Abington, OXFORDSHIRE OX14 3DB, United Kingdom
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphur_dioxide at Goonhilly (GB0003R) using abs_solution. 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: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_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 sulphate_total at Irafoss (IS0002R) using filter_1pack. These measurements are gathered as a part of the following projects CAMP, AMAP, 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)
License : CAMP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., 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: HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary, HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphur_dioxide at Kecskemét (HU0001R) using abs_solution. 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: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_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).
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of bulk_sampler at Bjørnøya (NO0037R). These measurements are gathered as a part of the following projects AMAP, NILU, 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), cadmium in precip (mass_concentration_of_cadmium_in_precipitation), lead in precip (mass_concentration_of_lead_in_precipitation), zinc in precip (mass_concentration_of_zinc_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., NILU: 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: HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary, HU01L, Hungarian Meteorological Service, OMSZ, Unit of Analysis on Ambient Air, P.O.Box 39, 1675, Budapest, Hungary
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphate_total at K-puszta (HU0002R) using filter_1pack. 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: sulphate_total in aerosol (mass_concentration_of_total_sulphateexpressed_as_sulphur_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).
Institutions: CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland, CH01L, Swiss Federal Laboratories for Materials Science and Technology, EMPA, Section Air Pollution, Überlandstrasse 133, 8600, Dübendorf, Switzerland
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of susp_part_matter at Jungfraujoch (CH0001G) using high_vol_sampler. 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: susp_part_matter in aerosol (mass_concentration_of_suspended_particulate_matter_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).