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
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.
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.
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.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, SU Stockholm University, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
Arctic Ocean Experiment 2001 AOE-2001 was an icebreaker based field experiment
with a target on the formation of low clouds in the central Arctic summer during
July and August 2001. A main portion of the 2-moth experiment was a 3-week ice
drift from 89 to 88 degN. Main components of the meteorology part of the
experiment were surface-based remote- sensing observations, general meteorology
observations (weather staion and soundings) and boundary-layer observations on
the ice. For a complete review of the experiment and a full list of instruments,
see Tjernström et al. 2004 ("The summertime Arctic atmosphere: Meteorological
measurements during the Arctic Ocean Experiment (AOE-2001)" in Bulletin of the
American Meteorological Society, 85, 1305 - 1321, and its on-line supplement
"Experimental equipment: A supplement to The summertime Arctic atmosphere:
Meteorological measurements during the Arctic Ocean Experiment (AOE-2001)").
Observations included in the dataset:
Observations from 2D-wind sonic anemometer on the mast of Oden during AOE-2001. Beware of flow distortion from the ship.
One-hour averaged cloud base observations from cloud base lidar and cloud radar during AOE-2001
Instant cloud-top observations from S-band cloud radar operating in two modes, a low-range high-resolution and a high-range low-resolution mode, respectively, obtained during AOE-2001. The presented data is the highest cloud top altitude observed.
Various meteorological observations from a mast placed on an ice-floe during AOE-2001
Turbulence statistics from sonic anemometer at 15 meters on the mast averaged over 15 minute obtained during AOE-2001
Turbulence statistics from sonic anemometer at 5 meters on the mast averaged over 15 minute obtained during AOE-2001
Various meteorological observations from Odens weather station situated at 35 metres ASL during AOE-2001. Winds may be subject to considerable flow distortion. Precipitation is in arbitrary units.
One-hour averaged precipitation from present-weather-sensor, which measures no. of precip particles falling past the sensor, during AOE-2001
Wind profile data from 915 MHz profiler on foredeck of Oden obtained during AOE-2001
Atmospheric baloon sounding data obtained during AOE-2001. The observations are interpolated to a fixed grid for plotting purposes.
Measurements from the high range of the S-band cloud radar obtained during AOE-2001. The variables presented are radar reflectivity and hydro-meteor fall velocity.
Measurements from the low range of the S-band cloud radar obtained during AOE-2001. The variables presented are radar reflectivity and hydro-meteor fall velocity.
Temperature profiles measured by a scanning radiometer obtained during AOE-2001.
Measurements from the sodar obtained during AOE-2001. Note that the altitude for each record varies in time.
Observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Observations 5 metres AGL from mobile ISSF PAM station 2 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Observations 5 metres AGL from mobile ISSF PAM station 3 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
One-hour averaged visibility observations from back-scatter sensor during AOE-2001.
Institutions: AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-08-15T08:59:10Z
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Abstract:
meteorological observations from Polarstern cruise ARKXXII/2 to the central Arctic Ocean.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
Data from aircraft observations during two flights of the aircraft campaign
ARTIST (Arctic Radiation and Turbulence Interaction Study) caried out by AWI
1998. The first set of delivered files contain data from on-ice flow over the
Fram Strait (26 March 1998) including profiles of radiation fluxes in stratus
clouds over a region with closed pack ice. The second set of delivered files
contain data from a day with clod-air advection over the Barents Sea covered
with sea ice. The cold-air advection causes slight unstable stratification over
sea ice. A detailed description of both data sets is given in the Damocles
Deliverable Report D2.3-01 by Lüpkes and Hartmann (2007). The case with cold-air
advectiob is described also in Vihma et al. (2005, BLM, 117(2), 275-300)
Institutions: AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
The data contain observations over lead with the helicopter borne instrument
HELIPOD, carried out by AWI during the winter arctic polynya study (WARPS) 2003
in the northern Fram Strait region. Data of 8 horizontal flight legs and of the
downstream and upstream profiles are given. A more detailed data description is
given in the Damocles Deliverable report D2.2-1 by Lüpkes and Hartmann, 2006
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
Automatic weather station (AWS) on Etonbreen glacier, an outlet from the Austfonna ice cap in North-East Svalbard. The AWS is located at approx 360 m a.s.l. near the long term equilibrium line altitude. The AWS records variables needed for an energy balance assessment. The AWS records Air Temperature, Relative Humidity, Wind Direction and Speed, Air Pressure, Snow Height, Longwave and Shortwave radiations. Data are transferred by Iridium. The extended AWS is the same type of station with heated and ventilated radiation in addition.