The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
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)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
Brief user guide
Outline of the data portal search interface.
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 identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). 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. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
The North Slope of Alaska (NSA) atmospheric observatory at Utqiaġvik (formerly Barrow) provides data about cloud and radiative processes at high latitudes. The NSA is a focal point for atmospheric and ecological research activity in the Arctic. Scientists use data from the NSA to improve the representation of high-latitude cloud and radiation processes in earth system models.
Eureka is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.
Tiksi is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.
This dataset combines several others for the stations at Ny Alesund. The focus is on the special observing periods for YOPPsiteMIP: SOP1 (Feb-Mar 2018) and SOP2 (Jul-Sep 2018).
The timeSeries data are primarily surface measurements: winds and temperature, radiation, precipitation, and cloud base height.
Institutions: Environment and Climate Change Canada, Environment and Climate Change Canada, Environment and Climate Change Canada, Norwegian Meteorological Institute / Arctic Data Centre
Institutions: Environment and Climate Change Canada, Environment and Climate Change Canada, Environment and Climate Change Canada, Norwegian Meteorological Institute / Arctic Data Centre
This MODF contains measurements from the Sodankyla supersite, located in the Arctic boreal
forest of northern Finland. This environment is characterised by alternating patches of dense
and sparse forest, wetland, lakes, and rivers, and the footprint of most satellite sensors
and model grids will typically encompass more than one of these surface types. To capture the
impact that the variation in surface type can have on surface and atmospheric processes, the
supersite comprises multiple stations and instrument installations measuring the same
parameters deployed in multiple locations.
Merged model Data Files (MMDFs) were produced with the HARMONIE-AROME (HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed–Application of Research to Operations at Mesoscale) model configuration for operational weather forecasting for the European Arctic with the name AROME-Arctic. AROME-Arctic MMDFs are based on the operational forecasts (cy40h.1) and are available for the SOP1 and SOP2 at Sodankylä and Ny-Ålesund. Lateral Boundary Conditions are derived from the ECMWF IFS-HRES. The data archived in the MMDFs are provided hourly for the single model grid-point closest to the site.
Institutions: CNRM/ Universite de Toulouse/ Meteo-France/CNRS, CNRM/ Universite de Toulouse/ Meteo-France/CNRS, Norwegian Meteorological Institute / Arctic Data Centre
The version of ARPEGE submitted to YOPPsiteMIP was a pre-operational version based on the cy43t2_op1 operational system but coupled with the 1D sea-ice model GELATO. The resolution of the model used for these simulations is the same as is used operationally at Meteo France which is variable (using a stretching factor of 2.2) with the pole (highest resolution of 7.5 km) over France for SOP1 and SOP2 and over Antarctica in SOP-SH and 105 vertical levels. The horizontal resolution is about 8-9 km over the North-Pole and timeseries have been provided for the three SOPs in the MMDF format for the 21 YOPP observatories with an hourly output for both state variables (instantaneous) and fluxes (accumulated).
Merged model Data Files (MMDFs) were produced by the SLAV model for both SOP1 and SOP2 containing 7-day forecasts starting at 00 UTC. The output is available for 4 horizontal grid points surrounding selected observatories, every 15 minutes (i.e. every fourth timestep). Depending on variable, the output is instantaneous or a 15-min averaged value.