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.
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
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Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
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Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Wind field ensembles from six CMIP5 models force wave model time slices of the northeast Atlantic over the last three decades of the 20th and the 21st centuries. The future wave climate is investigated by considering the RCP4.5 and RCP8.5 emission scenarios.The CMIP5 model selection is based on their ability to reconstruct the present (1971–2000) extratropical cyclone activity, but increased spatial resolution has also been emphasized.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI
Last metadata update: 2023-06-29T11:12:36Z
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Abstract:
These CMIP5 model data show interpolated results in Arctic only. Original data were cut and interpolated for internal use of the EU funded project ACCESS.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI
Last metadata update: 2023-06-29T11:12:39Z
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Abstract:
These CMIP5 model data show interpolated results in Arctic only. Original data
were cut and interpolated for internal use of the EU funded project ACCESS.
Institutions: Norwegian Computing Center, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-08-24T19:38:41Z
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Abstract:
The CryoClim FSC product provides daily information on fractional snow cover(0-100 %) per grid cell for global land areas except permanent snow and iceareas with 5 km grid size. The product is based on multi-sensor/time-series fusion of AVHRR, SMMR, SSM/I and SSMIS data eliminating cloud cover and polar night, resulting in a temporally consistent snow map.
To study the Svalbard reindeer and their basis of existence.Part of Nils Are Øritslands work over many years. Based on field work and hunting material. The hunting material is from 1984, 1986 and 1987 and contains the age mix of the animals.Countings, observations and experiments
Kjell-Gudmund Kjær’s archive of over 1500 Arctic vessels built before 1940 and used in sealing, polar expeditions, and other purposes.
The data originate from numerous archives in Norway and other countries, and from open, published sources. His work has resulted in several papers in the journal “Polar Record”.
The archive is now owned by the Norwegian Polar Institute, and maintained in cooperation with the author.
Digital geological map of Svalbard at the scale of 1:750000.
Subdivision of geology is according to stratigraphic group, subgroup or formation, depending on which is best applicable to the given scale. Where no formations are defined in parts of the geological basement, lithological units are defined instead
Quality
Spatial Reference: WGS84/UTM zone 33N (EPSG: 32633)
This dataset consists of model outputs for the study “Quantifying circumpolar summer habitat for Antarctic krill and Ice krill, two key species of the Antarctic marine ecosystem” published in ICES Journal of Marine Science.
Quality
Methods for this dataset are available in the associated publication.
A Norwegian Ice Drift Experiment (ICEX) started in 1976 as part of a national contribution to the polar programmes under the Global Atmospheric Research Programme (GARP). The main aim of the experiment is to obtain information on an important climatic parameter: the export of ice from the Arctic Ocean through the Fram Strait. The project was reorganized in 1981, and became a joint programme between Norsk Polarinstitutt and Det norske meteorologiske institutt, also involving cooperation with the University of Washington’s Arctic Ocean Buoy Program.
An ICEX measuring capsule has been developed in cooperation with Chr. Michelsens Institutt, Bergen, (Vinje & Steinbakke 1976, Nergaard et al. 1985). The capsule operates effectively in the marginal sea ice areas where it may be subject to frequent ridging and sporadic drift in water. The buoys were deployed from a boat in a pilot project in 1975, from a Cessna 185 aircraft landing on the ice in 1976 and 1977, and they have been air-dropped by the Norwegian Air Force from 1978 onwards. Since 1981 data from the Norwegian buoys have been included in the Arctic Ocean Buoy Program data reports edited by the Polar Science Center, University of Washington.
The present data report contains drift tracks and daily values of positions, air pressure (P) mb, air temperatures (TA) about 80 cm above the ice surface, and temperatures (TB) at the bottom of the ICEX capsule. The latter information indicates if the measuring capsule is on the ice or in the water. When free floating, (TB) gives the temperature about 40 cm below the sea surface.
During the first five years of the experiment, the air pressure sensors were built at the Norwegian Meteorological Institute, based on an aneroid and a displacement transducer. Another Norwegian pressure transducer has been produced by Aanderaa Instruments. This is based on a silicon chip as sensing element. The Digiquarts pressure sensor from the US firm Paro Scientific has also been used since 1981. The sensor resolution is hetter than 0.1 mb, while the system resolution is 0.4 mb within the normal variation range of the meteorological variables. Series of comparisons in the field showed that the mean difference between the data obtained via Nimbus-6 and the readings on a test set was less than 0.1 mb (Vinje 1978). Later comparisons showed differences of about 1 mb (Vinje 1981). This was, however, well inside the FGGE requirements.
The temperature is measured with a radiation shielded termistor. Fenwal UUA 3213. The system resolution is 0.2°C. The ventilation of the sensor is dependent upon the wind speed, and the sensor signal is also dependent upon the heating of the capsule. A series of comparisons in the field showed that the temperatures were correct within ±0.1 °C during conditions with normal ventilation (Vinje 1981). A comparison on Fram Ill (Thorndike et al. 1982) during part of April 1981 indicated temperatures as much as 1 °C - 2°C too high during the warmest part of each day. Otherwise the daily cycle was well resolved and the temperature readings from the ICEX buoy agreed well with the met observer’s data.
References
Nergaard, N., Vinje, T. & Finnekåsa, Ø. 1985: Report on ice buoys in theArctic and the Antarctic. Report No. 851129-1 from Chr. Michelsens institutt, Bergen.
Thorndike, A. S., Colony, R. & Munoz, E. A. 1982: Arctic Ocean Buoy Program. Data Report 1 January 1981 - 31 December 1981 (http://iabp.apl.washington.edu/pdfs/AOBP1981Thorndike.pdf). Polar Science Center, University of Washington, Seattle.
Vinje, T. E. & Steinbakke, P. 1976: Nimbus-6 located automatic stations in the Svalbard waters in 1975. Norsk Polarinstitutt Årbok 1975 (http://hdl.handle.net/11250/172804).
Quality
The data has been extracted from the scanned PDF of the Rapport 28, where data for each buoy is printed like the example image below:
The dataset contains a subset of physical oceanography data collected by the Norwegian Institute between 1981 and 2015. The data come from moored instruments (current meters, ADCPs, temperature and salinity sensors), and from CTD casts (standard casts from ships, and casts with portable equipment on helicopter transects). It also contains bottle data (such as oxygen isotope ratios and nutrients), sea ice thicknesses observed by upward looking sonars, and sea ice drift observed by ADCPs.
Datasettet viser offisielle grenser for Svalbard som areal:
- Areal innnafor grunnlinja (Forskrift om norsk sjøterritorium ved Svalbard)
- Areal mellom grunnnlinja og 12 nautiske mil (territorialfarvannet)
- Fiskerivernsone utenfor Svalbard (Forskrift om fiskevernsone ved Svalbard)
- Definisjon av Svalbard i Svalbardtraktaten
Quality
Scale Range: Maximum (zoomed in) 1:5000; Minimum (zoomed out) 1:20000000 Spatial Reference: WGS84/UTM zone 33N (EPSG: 32633)
A 2800-yr-long August sea surface temperature (aSST) record based on fossil diatom assemblages is generated from a marine sediment core from the northern subpolar North Atlantic.
The record is compared with the aSST record from the Norwegian Sea to explore the variability of the aSST gradient between these areas during the late Holocene.
The aSST records demonstrate the opposite climate tendencies toward a persistent warming in the core site in the subpolar North Atlantic and cooling in the Norwegian Sea. At the multicentennial scale of aSST variability of 600-900 yr, the records are nearly in antiphase with warmer (colder) periods in the subpolar North Atlantic corresponding to the colder (warmer) periods in the Norwegian Sea. At the shorter time scale of 200-450 yr, the records display a phase-locked behavior with a tendency for the positive aSST anomalies in the Norwegian Sea to lead, by ~30 yr, the negative aSST anomalies in the subpolar North Atlantic. This apparent aSST seesaw might have an effect on two major anomalies of the European climate of the past Millennium: Medieval Warm Period (MWP) and the Little Ice Age (LIA). During the MWP warming of the sea surface in the Norwegian Sea occurred in parallel with cooling in the northern subpolar North Atlantic, whereas the opposite pattern emerged during the LIA.
The results suggest that the observed aSST seesaw between the subpolar North Atlantic and the Norwegian Sea could be a surface expression of the variability of the eastern and western branches of the Atlantic meridional overturning circulation (AMOC) with a possible amplification through atmospheric feedback.
Quality
Core Rapid 21-COM represents a composite of two individual sediment cores (Rapid 21-12B and Rapid 21-3K), which were recovered from the southern limb of the Gardar Drift, south of Iceland, during the RRS Charles Darwin cruise 159 in 2004. The age model for core Rapid 21-COM is based on 210Pb dating for the 54.3-cm-long sediment box-core Rapid 21-12B (Boessenkool et al. 2007) and on 14C dating for the 372.5-cm-long kasten core Rapid 21-3K (Boessenkool et al. 2007; Sicre et al. 2011). The previously published diatom-based aSST record from core Rapid 21–12B has 2-yr-average resolution for the last 230 years (Miettinen et al. 2011). Core Rapid 21-3K was sampled continuously at 1.0-cm intervals and analyzed at 1- to 5-cm intervals with a resolution of 8-10 yr for the interval AD 800-1770, representing the highest-resolution diatom SST reconstruction from the subpolar North Atlantic for this period, and 40 yr for interval 0-AD 800.
Composite core Rapid 21-COM: 57°27.09’N, 27°54.53’W, 2,630 m water depth