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.
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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.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
The file contains time series of meteorological near-surface parameters measured on a temporary meteorological mast on the southern side of the coast of Adventdalen, Svalbard, from July to August 2022: Both temperature, humidity, wind speed, wind direction were measured at two levels.
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.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre (NO/MET/ADC)
The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. Data is available since August 2021 and new observations become available here in near real-time.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-09-08T09:48:16Z
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Abstract:
Limited area NWP using the UK MetOffice Portable Unified Model based on version 6.1 with modifications. The forecast domain is located over the Barents Sea. Hirlam12 forecasts are used as lateral boundaries every hour and initial conditions. The model is running routinely at the Norwegian Meteorological Institute but is not an operational model. Horizontal grid spacing is 4km and 38 levels are employed in the vertical. The model is initiated at 12UTC only.
The automatic weather station at the Bouvetøya (http://www.npolar.no/en/about-us/stations-vessels/norvegia/) was installed by the Norwegian Polar Institute in January 2014. The station collects meteorological data on air temperature, air humidity, wind speed, wind direction, and more. Data resolution is hourly.
The station stopped transmitting data in March 2015.
Quality
Variables
- Air temperature [℃], mean last minute (ta)
- Air temperature [℃], minimum last minute (ta_min)
- Air temperature [℃], maximum last minute (ta_max)
- Air humidity, mean last minute (uu)
- Atmospheric pressure [hPa], mean last minute (pa)
- Wind speed, mean last 10 minute (ff)
- Wind direction, general direction last 10 minutes (dd)
- Wind speed, maximum last 10 minutes (ff_max)
- Wind direction, general wind direction last 10 minutes with highest wind speed (dd_smm)
- Wind speed, maximum 3 sec duration mean last hour (f_max)
- Sun duration, minutes last hour (ot)
- Radiation, CSD3 mean last minute (qa)
- Time [UTC] (measured)
Other variables:
- record identifier (record)
- Station identifier (station_id)
- Lowest 12VDC power supply voltage last hour
- Lowest main battery 24VDC voltage last hour
- Current in/out of main battery. Charging is positive, discharging is negative
- Main battery capacity in percent8: Main battery capacity in ampere hours. Nominal is 2000Ah
- 21-24: Relay status, (r1_status, r2_status, r3_status, r4_status)
- 25: CS215_1, Indoor temperature, mean last minute (t1)
- 26: CS215_1, Indoor humidity, mean last minute (f1)
Quality controlled timeseries from Norwegian weather station 0-578-0-99752. Data are climate consistent following a number of automated and manual quality control routines.