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.
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.
Arctic Challenge for Sustainability, GREen Network of Excellence - Arctic Climate Change Research Project
Last metadata update: 2019-06-25T00:00:00Z
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Abstract:
A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between -40 C in winter and 30 C in summer at this site.In parallel experiments, a fibre-optic cable sensor system (multi-mode, GI50/125, dual core; 3.4 mm), monitored at high resolution, (0.5m intervals at every 30 min) ground surface temperatures across the landscape. In addition, a highresolution vertical profile was acquired at one-metre height above the upper subsurface. The total cable ran 2.7 km with about 2.0 km monitoring a horizontal surface path. Sections of the cable sensor were deployed in vertical coil configurations (1.2m high) to measure temperature profiles from the ground up at 5mm intervals. Measurements were made continuously over a 2-year interval from October 2012 to October 2014. Vegetation at the site (Poker Flat Research Range) consists primarily of black spruce underlain by permafrost. Land cover types within the study area were classified into six descriptive categories: relict thermokarst lake, open moss, shrub, deciduous forest, sparse conifer forest, and dense conifer forest. The horizontal temperature data exhibited spatial and temporal changes within the observed diurnal and seasonal variations. Differences in snow pack evolution and insulation effects co-varied with the land cover types.The apparatus used to monitor vertical temperature profiles generated high-resolution (ca. 5 mm) data for air column, snow cover, and ground surface.
We performed a glaciological field traverse expedition with a traditional Greenlandic dog-sledge to obtain in-situ near-surface snow density and stratigraphy data in 2018 spring. This dataset includes these data from snow pits at four locations visited during the expedition. In addition, information on the spatial variability of snow density at the SIGMA-A site is provided. These data are in the easy-to-read excel format.
The dataset shows the total thickness of sediments deposited on the continental margin south and west of Norway during the Quaternary (the last 2,6 million years). The thickness is presented in milliseconds to-way traveltime (ms twt). 1 ms twt corresponds approximately 1 m in Quaternary sediments. The dataset is a raster-file (tiff), 1000m-grid.
Results of the geochemical and magnetic studies on natural mineral aerosol deposited and trapped in glaciers (cryodust). Samples were collected from glacial cores taken from five glaciers of Southern Spitsbergen (Svalbard, Norway). The samples were collected by means of a hand-operated Kovacs Enterprise® Mark II coring system. Samples (90 mm in diameter) were packed into polyethylene bags, secured, and transported to the Polish Polar Station Hornsund. The core samples were rinsed using deionized water (Polwater DL100; Norm PN-EN ISO 117 3696:1999; conductivity <0.06 μS/cm) and melted at room temperature in the closed new polyethylene bags. After melting samples were filtered through pre-rinsed sterile Millipore Mixed Cellulose Esters filters (white gridded and 0.45 𝜇𝜇m pore size). After filtration, the filters with residuum were dryer at the temperature of 60oC.Solid particulates of cryodust were subjected to analysis by Electron MicroProbe (EMP) with special attention paid to their internal structure. A scanning electron microscope (SEM) fitted with a backscattered electron (BSE) detector was used to trace grains topography and composition. Special attention was given to monazite chemical dating. Magnetic methods comprised analyses of magnetic susceptibility κ vs temperature T variations and determination of magnetic hysteresis parameters.More about the methodology, analyses and results can be found here: https://doi.org/10.3390/atmos11121325
Institutions: JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan, JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan
Last metadata update: 2023-03-15T00:00:00Z
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Abstract:
Ground based in situ observations of sun_tracking_filter_radiometer at Minamitorishima (JP1028G). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
Institutions: JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan, JP02L, Japan Meteorological Agency, JMA, Global Environment and Marine Department, 1-3-4 Ootemachi, Chiyoda-ku, 1008122, Tokyo, Japan
Last metadata update: 2022-03-19T00:00:00Z
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Abstract:
Ground based in situ observations of sun_tracking_filter_radiometer at Sapporo (JP0005U). These measurements are gathered as a part of the following projects GAW-WDCA and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles), aerosol_optical_depth in aerosol (atmosphere_optical_thickness_due_to_ambient_aerosol_particles)
This data set contains snow bidirectional reflectance factor (BRF) between 350 and 2500 nm collected on the Yala Glacier on 23 April and 24 April 2018 by the International Centre for Integrated Mountain Development (ICIMOD).