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 SAON Data Portal.
Brief user guide
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 through the drop down menu above the text field. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming the OR operator). Phrases may be prefixed with '-' to indicate no occurence of the phrase in the results.
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 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.
Historical AROME Arctic files from the operational numerical weather prodiction model run. The moste recent datasets are also available labelled post-processed or extracted as separate datsets.
Extracted variables based on the latest run of the AROME-Arctic model, without additional post-processing. Data on surface, and selected model and pressure levels. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
Post processed forecasts based on the latest run of the AROME-Arctic model. Parameters like temperature, cloud cover, precipitation and wind have gone through additional post-processing. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
This dataset contains humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel for the Iceland Greenland seas Project (IGP).
The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)
This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR.
This dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. Sea surface temperature was measured by the underway SBE38 bow temperature sensor for the majority of the cruise, with 2m CTD observations used to fill several short gaps where high frequency observations were available. Additionally these observations have been processed using the COARE 3.0a bulk aerodynamic flux algorithm to provide bulk variables at standard heights and estimated flux coefficients. Attached documentation on quality control methods and calibrations should be consulted before using these data.
This dataset contains upper air sounding profiles of temperature, pressure, humidity, wind speed and wind direction measurements from the NCAS Vaisala Sounding Station unit 2 radiosonde lauches. The radiosondes were launched over Greenland and Iceland from the Alliance research ship for the Iceland Greenland seas Project (IGP).
The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)
This dataset contains corrected observations (motion and translational movement) from a WindCube V2 Lidar (Leosphere). The instrument was mounted on the NATO Research Vessel Alliance during Iceland Greenland Seas Project (IGP) campaign in February–March 2018.
The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1).