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 SAON Data Portal.
Brief user guide
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 through the drop down menu above the text field. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming the OR operator). Phrases may be prefixed with '-' to indicate no occurence of the phrase 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.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute, met.no Norwegian Meteorological Institute
Last metadata update: 2023-09-08T09:28:11Z
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Abstract:
The files contain data from NCAR GPS dropsondes AVAPS (Airborne Vertical
Atmospheric Profiling System), taken during the Norwegian IPY-THORPEX field
campaign from 25 February to 17 March 2008. A description of AVAPS is given
in: http://www.eol.ucar.edu/isf/facilities/dropsonde/ The data has been post-processed and quality controlled with the Atmospheric Sounding Processing
Environment (ASPEN). For more information, see: http://www.eol.ucar.edu/isf/facilities/software/aspen/aspen.html
During the campaign period the DLR Falcon 20 was stationed at Andenes airport in Norway and
used for flight missions for the study of adverse weather in the Arctic region.
The field campaign had a particular focus on polar lows. Two such events was
measured during the campaign period, 3-4 March and 17 March. The 3-4 March case
was measured by 3 flight missions, documenting the full life cycle of a polar
low. The IPY-THORPEX project is described in: http://www.ipy-thorpex.no. A
description of each flight, including the flight plansas given in: http://www.pa.op.dlr.de/ipy_thorpex/
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute, met.no Norwegian Meteorological Institute
Last metadata update: 2023-09-08T09:28:11Z
Show more...
Abstract:
The files contain data from NCAR GPS dropsondes AVAPS (Airborne Vertical
Atmospheric Profiling System), taken during the Norwegian IPY-THORPEX field
campaign from 25 February to 17 March 2008. A description of AVAPS is given
in: http://www.eol.ucar.edu/isf/facilities/dropsonde/ The data has been
post-processed and quality controlled with the Atmospheric Sounding Processing
Environment (ASPEN). For more information, see:
http://www.eol.ucar.edu/isf/facilities/software/aspen/aspen.html
During the
campaign period the DLR Falcon 20 was stationed at Andenes airport in Norway and
used for flight missions for the study of adverse weather in the Arctic region.
The field campaign had a particular focus on polar lows. Two such events was
measured during the campaign period, 3-4 March and 17 March. The 3-4 March case
was measured by 3 flight missions, documenting the full life cycle of a polar
low. The IPY-THORPEX project is described in: http://www.ipy-thorpex.no. A
description of each flight, including the flight plansas given in: http://www.pa.op.dlr.de/ipy_thorpex/
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute, met.no Norwegian Meteorological Institute
Last metadata update: 2023-09-08T09:28:11Z
Show more...
Abstract:
The files contain data from NCAR GPS dropsondes AVAPS (Airborne Vertical
Atmospheric Profiling System), taken during the Norwegian IPY-THORPEX field
campaign from 25 February to 17 March 2008. A description of AVAPS is given
in: http://www.eol.ucar.edu/isf/facilities/dropsonde/ The data has been
post-processed and quality controlled with the Atmospheric Sounding Processing
Environment (ASPEN). For more information, see:
http://www.eol.ucar.edu/isf/facilities/software/aspen/aspen.html
During the
campaign period the DLR Falcon 20 was stationed at Andenes airport in Norway and
used for flight missions for the study of adverse weather in the Arctic region.
The field campaign had a particular focus on polar lows. Two such events was
measured during the campaign period, 3-4 March and 17 March. The 3-4 March case
was measured by 3 flight missions, documenting the full life cycle of a polar
low. The IPY-THORPEX project is described in: http://www.ipy-thorpex.no. A
description of each flight, including the flight plansas given in: http://www.pa.op.dlr.de/ipy_thorpex/
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute, met.no Norwegian Meteorological Institute
Last metadata update: 2023-09-08T09:28:11Z
Show more...
Abstract:
The files contain data from NCAR GPS dropsondes AVAPS (Airborne Vertical
Atmospheric Profiling System), taken during the Norwegian IPY-THORPEX field
campaign from 25 February to 17 March 2008. A description of AVAPS is given
in: http://www.eol.ucar.edu/isf/facilities/dropsonde/ The data has been
post-processed and quality controlled with the Atmospheric Sounding Processing
Environment (ASPEN). For more information, see:
http://www.eol.ucar.edu/isf/facilities/software/aspen/aspen.html
During the
campaign period the DLR Falcon 20 was stationed at Andenes airport in Norway and
used for flight missions for the study of adverse weather in the Arctic region.
The field campaign had a particular focus on polar lows. Two such events was
measured during the campaign period, 3-4 March and 17 March. The 3-4 March case
was measured by 3 flight missions, documenting the full life cycle of a polar
low. The IPY-THORPEX project is described in: http://www.ipy-thorpex.no. A
description of each flight, including the flight plansas given in: http://www.pa.op.dlr.de/ipy_thorpex/
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute, met.no Norwegian Meteorological Institute
Last metadata update: 2023-09-08T09:28:11Z
Show more...
Abstract:
The files contain data from NCAR GPS dropsondes AVAPS (Airborne Vertical
Atmospheric Profiling System), taken during the Norwegian IPY-THORPEX field
campaign from 25 February to 17 March 2008. A description of AVAPS is given
in: http://www.eol.ucar.edu/isf/facilities/dropsonde/ The data has been post-processed and quality controlled with the Atmospheric Sounding Processing
Environment (ASPEN). For more information, see: http://www.eol.ucar.edu/isf/facilities/software/aspen/aspen.html
During the campaign period the DLR Falcon 20 was stationed at Andenes airport in Norway and
used for flight missions for the study of adverse weather in the Arctic region.
The field campaign had a particular focus on polar lows. Two such events was
measured during the campaign period, 3-4 March and 17 March. The 3-4 March case
was measured by 3 flight missions, documenting the full life cycle of a polar
low. The IPY-THORPEX project is described in: http://www.ipy-thorpex.no. A
description of each flight, including the flight plansas given in: http://www.pa.op.dlr.de/ipy_thorpex/
Historical AROME Arctic files from the operational numerical weather prodiction model run. The moste recent datasets are also available labelled post-processed or extracted as separate datsets.
Extracted variables based on the latest run of the AROME-Arctic model, without additional post-processing. Data on surface, and selected model and pressure levels. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
Post processed forecasts based on the latest run of the AROME-Arctic model. Parameters like temperature, cloud cover, precipitation and wind have gone through additional post-processing. Horizontal data resolution is 2,5km. The forecast is updated 4 times per day. For historical data see https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html
Institutions: European Centre for Medium-Range Weather Forecasts
Last metadata update: 2022-05-02T10:31:08Z
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Abstract:
Enable a significant improvement in environmental prediction capabilities for the polar regions and beyond, by coordinating a period of intensive observing, modelling, verification, user-engagement and education activities.
The Year of Polar Prediction (YOPP) is one of the key elements of the Polar Prediction Project. YOPP is scheduled to take place from mid-2017 to mid-2019.
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>.