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.
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.
Institutions: Norwegian Computing Center, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-08-24T23:12:54Z
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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.
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.
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, Geological Survey of Denmark and Greenland (GEUS)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
The MODIS MOD10A1 v6 after Box et al. (2017) is gapless by initializing the year using May average then steping through days any cloud free pixels are updated, removes a dark bias in the south and a bright bias in the north, the bias adjustment is under 0.05 in all cases. See Box, J.E., D. van As, K. Steffen, 2017. Greenland, Canadian and Icelandic land ice albedo grids (2000-2016), Geological Survey of Denmark and Greenland Bulletin, 38, 53-56. https://eng.geus.dk/media/9338/nr38_p53-56.pdf
Institutions: Norwegian Water Resources and Energy Directorate (NVE), Norwegian Water Resources and Energy Directorate (NVE), Norwegian Water Resources and Energy Directorate (NVE), Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2023-01-06T21:47:04Z
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Abstract:
Sentinel-2 imagery was used to map the extent of Norway’s glaciers over 2018–19. A standardized semi-automated band ratio method was used to derive glacier outlines. To optimise the results, manual edits of ice-lake interfaces, debris, snow, and parts of the glaciers situated under shadow were applied. The data set and the uncertainties are described in Andreassen et al. (2022; Journal of Glaciology).
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
The climate change indicator products of glaciers in mainland Norway include surface mass balance and length change (from NVE’s field observations) and area changes (from satellite imagery and topographical maps) for a selection of glaciers. Glacier surface mass balance and glacier length change are obtained directly from NVE’s databases. http://glacier.nve.no/Glacier/viewer/CI/en/cc
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Area Outline (GAO) for mainland Norway from the period 1988-1997, using 9 Landsat TM/ETM+ satellite images. For all scenes the horizontal positional accuracy (rmse) was less than one pixel (better than 30 m).
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Lake Outline (GLO) for Norway from the period 1988-1997. Glacier lakes can cause hazardous outburst floods. GLO is defined as water bodies that either intersected or were within a distance of 50 m of the glacier boundary (GAO). Only locations where glacier lakes were detected in the GLO 1999-2006 were mapped.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Area Outline (GAO) for mainland Norway from the period 1947-1985. Source: First edition N50 maps in the main map series of Norway (denoted M711 or N50) constructed from air photos taken the period 1952-1985. The original paper maps printed at a scale of 1:50 000 were scanned by Statens kartverk and then the maps were georeferenced and digitised by NVE. RMS values of less than 10 meters were obtained using the 1st order polynomial (affine) transformation.
Institutions: De Nationale Geologiske Undersøgelser for Danmark og Grønland (GEUS)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
The Greenland Surface Type is estimated using satellite remote
sensing techniques on the MODIS insturment. This dataset contains
monthly products covering april to september for the period
2000-2014.
The data files contain 5 layers with the following content: GST,
Nobs, StDev, MaxGST, MinGST.
The monthly products were generated on a machine which uses the
little-endian data format (Intel convention). GST is coded with 2 -
Ocean, 5 - Land, 3 - Cloud, 4 - No data, 11 - Ice, 13 - Melting
snow, 14 - Dry snow.
Further information can be found in
Fausto, R.S., Mayer, C. and Ahlstrøm, A.P. 2007: Satellite-derived
surface type and melt area of the Greenland ice sheet using MODIS
data from 2000 to 2005. Annals of Glaciology 46, 35-42.
Fausto, R.S., Van As, D., Antoft, J.A., Box, J.E., Colgan, W., and
the PROMICE project team. Greenland ice sheet melt area from MODIS
(2000-2014). Geological Survey of Denmark and Greenland Bulletin 33.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Area Outline (GAO) for mainland Norway from the period 1988-1997, using 9 Landsat TM/ETM+ satellite images. For all scenes the horizontal positional accuracy (rmse) was less than one pixel (better than 30 m).
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Lake Outline (GLO) for Norway from the period 1999-2006. Glacier lakes can cause hazardous outburst floods.
GLO is defined as water bodies that either intersected or were within a distance of 50 m of the glacier boundary (GAO).
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
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Abstract:
Glacier Periodic photos (GPP) from Norwegian glaciers. The photo series illustrate how the extent of a selection of Norwegian glaciers have changed. The pictures are not taken from the same position each year. The earliest photos are from the 1860s. The majority of the pictures are from the last 20 years. The number of photos per glacier varies. The source of the data is NVEs photo archive, with contributions from NVE collaborators. http://glacier.nve.no/Glacier/viewer/gpp/en/cc/