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 by changing the operators used in the text field and prefixing words with '+' and '-' to indicate whether they have to be present or should not be present in the results.
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.
Citation of data and service
If you use data retrieved through this portal, please acknowledge the efforts of the data portal and the data centres contributing.
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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)
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Danish Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-07-14T09:27:43Z
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Abstract:
A 9 month ice drift data set based on VIS and IR data
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Danish Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-07-14T09:06:28Z
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Abstract:
A 9 month ice drift data set based on VIS and IR data
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T15:00:52Z
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Abstract:
The product is based on a manual interpolation of available satellite data and insitu observations and provides a gridded map. It is a continuation of the previous sea ice chart which basically identified the ice edge.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T15:00:52Z
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Abstract:
The product is based on a manual interpolation of available insitu observations. This dataset is the predecessor of the gridded ice charts based on satellite data and other sources. This dataset primarily identifies the sea ice edge.
This data set includes yearly snow melt onset dates over Arctic sea ice derived from Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS) brightness temperature measurements. The data are gridded to the 25 km Northern Hemisphere Polar Stereographic projection and available from 1979 through 2022. One browse image is available for each year.
This data set also contains value-added statistics for each grid cell, including: mean melt onset date, latest (maximum) melt onset date, earliest (minimum) melt onset date, range of melt onset dates (the difference between maximum and minimum onset dates), and the standard deviation of melt onset dates. One browse image is also provided for each statistical field.
Institutions: British Antarctic Survey, British Antarctic Survey, NERC EDS UK Polar Data Centre
Last metadata update: 2022-04-29T00:00:00Z
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Abstract:
The ocean surface height is constantly varying under the effects of gravity, density and the Earth''s rotation. Information on the Ocean surface elevation in polar regions is available from the CryoSat2 Radar instrument. We compare ocean surface elevation to a static geoid product (GOCO03s) to give the part of the ocean surface elevation accountable due to surface currents, the Dynamic Ocean Topography (DOT). This measurement is smoothed over 100 km and gives monthly surface currents.
NERC NE/R000654/1 Towards a marginal Arctic sea ice cover.
This archive of daily rawinsonde measurements of wind direction and speed, atmospheric pressure, humidity, air temperature, and geopotential height as well as surface-based observation of cloud cover (amount, type and height) from Soviet North Pole drifting stations was assembled under the direction of Dr. J. Kahl, with funding from the National Oceanic and Atmospheric Administration, the National Science Foundation, and the Electric Power Research Institute. Soundings were recorded from April 19, 1954 to July 31, 1990 at drifting stations located in the Arctic Ocean, north of approximately 70 degrees North. Data were obtained from several different sources. All of these data are ultimately derived from the set of bound volumes of handwritten tables kept at the Arctic and Antarctic Research Institute (AARI) in St. Petersburg, Russia. Data are in 21 ASCII text format files with an average size of under 10 MB.
This data set contains monthly mean precipitation sums from Russian arctic stations. Precipitation measurements were acquired using a Tretyakov precipitation gauge. Data have not been adjusted for wind bias. Data from 1967 and later are corrected for wetting loss (this correction was made by observers as they recorded the station data). Precipitation measurements from 216 stations are available. An analysis of existing precipitation data sets confirmed that data from these stations are not, at the time of publication, available in other commonly used precipitation data sets. Most data records begin in 1966 and end in 1990.
The Historical Arctic Rawinsonde Archive (HARA) contains millions of vertical soundings of temperature, pressure, humidity, and wind, representing all available rawinsonde ascents from Arctic land stations poleward of 65 degrees North. HARA includes soundings from the beginning of record through mid-1996. Most stations began recording soundings in the late 1950s, but a few began in 1947 or 1948.
The International Ice Patrol (IIP) tracks, plots, and predicts iceberg positions in the North Atlantic Ocean. The IIP area of responsibility is 40 to 52 degrees North, 39 to 57 degrees West. During several years (1977, 1978, 1980, 1983, and 1989) individual icebergs were tagged with buoys developed by the U.S. Coast Guard Research and Development Center. The motion of the icebergs bearing the USCG buoys were then tracked via satellite. Observation periods range from one week to two years depending on the buoy. The data are stored in the National Oceanographic Data Center format for drifting buoys (format number 156).
The Canadian Ice Service (CIS) produces digital Arctic regional sea ice charts for marine navigation, forecasting, and climate research. The ice charts are created through the manual analysis of in situ, satellite, and aerial reconnaissance data. The ice charts have information on ice concentration, stage of development, and ice form, following World Meteorological Organization terminology. This digital record of sea ice charts begin in 2006 and cover the following regions of the Canadian Arctic: Northern Canadian waters (Western Arctic, Eastern Arctic, and Hudson Bay) and Southern Canadian waters (Great Lakes and East Coast). Each regional shapefile (.shp) (encoded in SIGRID-3 format) and associated metadata file (.xml) are combined into a tar archive file (.tar) for distribution. All data are available via FTP.
The Environmental Working Group Joint U.S.-Russian Arctic Sea Ice Atlas is part of the <a href="https://nsidc.org/data/ewg">NOAA@NSIDC Environmental Working Group (EWG) Atlases</a> data collection.
The EWG Joint U.S.-Russian Arctic Sea Ice Atlas was developed by U.S. and Russian partners in the late 1990s. It is based on observations collected over the period 1950 through 1994 from satellite data, ice stations, icebreakers, and airborne ice surveys. Additionally, U.S. submarines operating in the Arctic over the period from 1977 through 1993 collected data used for a previously classified ice climatology. The Atlas contains four main sections: an introduction to Arctic sea ice, a section that describes primary sea ice data sets and analysis methods, a section with a graphical atlas containing two-dimensional color-coded ice charts and graphical products, and an Arctic sea ice data section. Note: The Russian chart component of this product has been replaced and updated by <a href="https://nsidc.org/data/g02176/versions/1">Sea Ice Charts of the Russian Arctic in Gridded Format, 1933-2006</a> and the U.S chart component by <a href="https://nsidc.org/data/g02172/versions/1">National Ice Center Arctic Sea Ice Charts and Climatologies in Gridded Format, 1972-2007</a> and <a href="https://nsidc.org/data/g10033/versions/1">U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format</a>.
The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.
This NISE Version 5 product contains DMSP-F18, SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F18 satellite. For DMSP-F16, SSMIS-derived data, see <a href="https://doi.org/10.5067/JAQDJKPX0S60"> NISE Version 3</a>. For DMSP-F17, SSMIS-derived data, see <a href="https://nsidc.org/data/nise/versions/4"> NISE Version 4</a>. For the older, DMSP-F13, Special Sensor Microwave Imager (SSMI) derived data, see <a href="https://doi.org/10.5067/4FSODMDM1WEJ">NISE Version 2</a>.
The International Arctic Buoy Programme (IABP) maintains a network of drifting buoys to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme (WCRP) and the World Weather Watch (WWW) Programme. An average of 25 buoys are in service at any time. The IABP drifting buoy data products described here are 12-hour interpolated pressure, temperature, position, and ice velocity grids available by year from 1979 through the present.
These data are permanently archived with the <a href="https://arcticdata.io">NSF Arctic Data Center</a> and are also available through the <a href="http://iabp.apl.washington.edu/">IABP website</a>. NOAA@NSIDC maintains these pages in cooperation with IABP in order to promote the use of these data and provide descriptive information that may be difficult to find elsewhere.
As of 31 August 2022, this data set is retired and no longer available for download. We recommend using <a href="https://nsidc.org/data/nsidc-0630">MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 1</a> data set as an alternative. This data set provides daily, near-real-time Special Sensor Microwave Imager/Sounder (SSMIS) brightness temperatures in the Equal-Area Scalable Earth-Grid (EASE-Grid). The data set consists of gridded data in two projections: Northern Hemisphere and Southern Hemisphere. The data lag by one day and provide 365 days of near-real-time data. The spatial resolution is 25 km for all channels. Data are contained in flat binary files.