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.
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.
ESA PRODEX project: “An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network” (Not available)
Institutions: Geological Survey of Denmark and Greenland (GEUS), Not available, Not available, Not available, Geological Survey of Denmark and Greenland (GEUS)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Broadband albedo based on Kokhanovsky et al (2018, 2019, 2020) for snow and a fit of four OLCI bands’ TOA reflectance versus PROMICE automatic weather station albedo data for bare ice conditions when albedo is below 0.565. Coupled with a temporal filtering based on outlier detection after Box et al (2017) GEUS Bulletin, daily “gapless” 1 km grids are then generated by updating pixel values when an area is considered cloud free. See Wehrlé et al (2020) GEUS Bulletin (submitted) for additional detail.
Continuous surface water fCO2 dataset from RV Kronprins Haakon in the Barents Sea and Nansen Basin in the period 2018/Aug/08 - 2019/Dec/17. Data covered the area lat/lon bounds of dataset: lat 68N to 84.7N and long -16E to 35.8E. Data is used in the projects Nansen Legacy and COMFORT and presented in the manuscript by Ericson et al. 2023
Ericson Y., A. Fransson, M. Chierici, E.M. Jones, I. Skjelvan, A. Omar, A. Olsen, M. Becker (2023) Rapid fCO2 rise in the northern Barents Sea and Nansen Basin, Progress in Oceanography, special issue on seasonality, Nansen Legacy
Quality
General Oceanics 8050 continuous pCO2 measurements setup, where fCO2 of surface seawater is calculated from xCO2 closely following the methods of Pierrot et al. 2009 (P09).The STD gases 2 to 4 were used for calibration. Discrete water samples and analysed carbonate chemistry variables were used to further quality control the data.
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 29 August 2018 to 06 September 2019 at 78°03.645’ N; 013°31.467’ E, and 193 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with three Aanderaa Instruments recording current meters (RCMs) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. Additionally, three SBE 37 MicroCAT CTDs and five VEMCO mini temperature loggers were evenly distributed over the water column. For further details of the mooring and data in previous years, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. At the same time, care was taken to keep the water column stable.
Conductivity-Temperature-Depth (CTD) profiles from Norwegian Polar Institute (NPI) cruise FS2018 to the Fram Strait including auxiliary sensors. Fram Strait cruises are repeated annually, and a new data set is published for each cruise.
Please refer to the FS2018 cruise report for full information. Profiles were collected with a SBE911+ CTD system deployed from research vessel Kronprins Haakon. Where the CTD was deployed through a moon pool, spurious data collected from within the moonpool shaft have been removed resulting in a lack of data in the upper 10 m. Temperature profiles were measured using dual SBE 03 temperature sensors. Conductivity profiles were measured using dual SBE 04 conductivity sensors. Salinity profiles were calculated from temperature and salinity profiles. CDOM was measured using a WETLabs CDOM fluorometer (single sensor)
Profile data is from down casts only and made available in 1 decibar bins. Spurious data collected during the surface soak were removed before binning.
Data are made available as a single, self-documented netCDF file. Profile data are organised in tables with one column per cast and one row per depth bin. 1-dimensional metadata (such as time and position) are organised as a single row with one column per cast. All variables have the same number of columns, equal to the total number of CTD casts.
Ocean data from two ocean moorings, M1 and M2. Both were Nansen Legacy gateway moorings deployed in the northern Barents Sea at potential “gateways” of ocean exchange with the north and east. The moorings were equipped with ADCPs measuring ocean currents, and temperature and conductivity-temperature-pressure sensors at various points along the mooring line:
- Conductivity, temperature, and pressure from RBR Concerto and SBE16plus v2 instruments.
- Temperature from RBR Solo instruments.
- Near-surface ocean currents from upward-looking Nortek Signature 500 kHz ADCP instruments.
- Water column currents from upward-looking RDI 150 kHz ADCP instruments.
The current version of the dataset (V1) contains data from the two first deployments of M1 and M2, covering the period from October 2018 to September 2020.
The document “M1_M2_data_processing_details_2018_2020.pdf” contains further details about the data and processing, as well as important information for users of the data.
The Norwegian Polar Institute is the owner of all the instrumentation described in this document, and was responsible for data processing and documentation. Data are freely available under a CC-BY 4.0 license.
VERSION HISTORY:
V1 (27-07-2022): Created dataset, uploaded raw and processed data for M1 and M2 (2018-2020) with documentation.
Processed data are organized per mooring and deployment. E.g., “m1_2.zip” contain processed data from deployment 2 (2019-2020) of the M1 mooring, etc. All raw data are collected in “raw_m1m2_2018_2020.zip”.
Quality
Data are available both in raw form and as netCDF files with processed data. The document “M1_M2_data_processing_details_2018_2020.pdf” contains further details about the data and processing, as well as important information for users.
See Fuglei and Tarroux 2019, Polar Research [xxxxx] for details. Animated large-scale movements of a young female Arctic fox dispersing from Svalbard and tracked through Argos satellite telemetry from 1 March to 1 July 2018
Quality
see Fuglei and Tarroux 2019, Polar Research [xxxxx] for details
Sea ice salinity and temperature mesured on ice cores collected on the Nansen Legacy seasonal cruises in the Barents Sea and Nansen Basin. The sea ice cores were collected on seven Nansen Legacy research cruises (Q1, Q2, Q3, Q4, JC1-2, JC2-1, JC3) onboard RV Kronprins Haakon between February and December in 2018-2022.
Quality
Data of salinity and temperature measured on sea ice cores collected on seven Nansen Legacy research cruises (Q1, Q2, Q3, Q4, JC1-2, JC2-1, JC3) onboard RV Kronprins Haakon between February and December in 2018-2022, covering seasonal data in the Barents Sea and Nansen Basin. The ice stations followed Nansen Legacy standard stations (P, M, NLEG, PICE, SICE) on a south-north (76N-83N) repeated transect. Method: Sea ice cores were collected using a Kovacs corer (Ø=9cm) and ice temperature (WVR temperature sensor) was meaured at every 5 cm of the core. The core was cut into 10 cm pieces, melted and salinity (WTW 3310 conductivity sensor) was measured in the lab onboard. Different cores were used in this data set; “chem core” is the main core, “alkalinity core” is extra core and “NaN” is mostly due to collection by the sea ice physics team.