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)
The AMSR-E Wakasa Bay Field Campaign was conducted over Wakasa Bay, Japan. The Wakasa Bay Field Campaign includes joint research observations, such as precipitation amount, pressure thickness, seal level pressure, and surface winds by the Japan Aerospace Exploration Agency (JAXA), the AMSR precipitation validation team, and the NASA AMSR-E team.
The Arctic Meteorology and Climate Atlas is part of the <a href="https://nsidc.org/data/ewg">NOAA@NSIDC Environmental Working Group (EWG) Atlases</a> data collection.
The Arctic Meteorology and Climate Atlas was developed in the late 1990s by specialists from the Arctic and Antarctic Research Institute (AARI), St. Petersburg, Russia, the University of Washington, Seattle, and the National Snow and Ice Data Center, University of Colorado, Boulder. The Atlas contains three main sections: a history section, a Primer, and a data section. The history section summarizes Arctic exploration from both Russian and U.S. vantage points. It includes a condensed translation of an AARI publication detailing the Russian North Pole drifting station program, as well as a photo gallery from the North Pole stations. The Primer provides introductory information for newcomers to arctic meteorology. The data section contains gridded fields of meteorological parameters. These maps of air temperature, sea level pressure, precipitation, cloud cover, and snow and solar radiation from drifting and coastal stations can be browsed using an included viewer. Meteorological station data from Russian and other sources, newly released at the time the atlas was published, is included as well. In addition, the Atlas includes several English translations of Russian technical documents, and a glossary of meteorological terms in English and Russian. See the User Guide for a more complete listing of contents. The online User Guide includes an important Addendum and Errata section that is not included in the documentation that accompanies the Atlas download.
The Airborne Second Generation Precipitation Radar (APR-2) collected data in the Wakasa Bay AMSR-E validation campaign over the sea of Japan on board a NASA P-3 aircraft. Data were collected on all P-3 flights that encountered precipitation.
International Tundra Experiment, Arctic System Science/LAII/International Tundra Experiment (ITEX, ARCSS/LAII/ITEX)
Last metadata update: 2003-05-01T12:00:00Z
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Abstract:
This data set presents various climate data from sites in Barrow and Atquasuk, on the Northern Slope of Alaska. Parameters include thaw depth, air temperature, precipitation, wind speed, light intensity, plant canopy temperature, soil temperature, soil moisture, soil salinity, and relative humidity. Data were collected between June 1995 and August 2001 by various sensors connected to data loggers. Air and soil temperatures are given in degrees Celsius and wind speed is measured in meters per second. All other paramater measurements are detailed in the documentation. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant number OPP 9714103. Data are available via FTP.
This data set contains meteorological observations at ten sites throughout the Small Regional Study Area (SRSA) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA.
The Rapid Update Cycle analysis/model system at a 20-km horizontal resolution (RUC20) provides short-range numerical weather guidance for general forecasting, as well as for the special short-term needs of aviation and severe-weather forecasting. This data set consists of 60 meteorological and soil parameters at 50 computational levels.
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.
A part of the Soil Moisture Experiment 2004 (SMEX04), this data set includes a diverse collection of in situ data measured along a topographical transect in northern Sonora, Mexico.
This data set consists of observations of atmospheric parameters, and were collected by the Aerosol Robotic Network (AERONET) program, a federation of ground-based remote sensing aerosol networks composed of automatic sun and sky scanning radiometers.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from BARDUFOSS
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from KONGSOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HEKKINGEN LH
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HORNSUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from JAN MAYEN
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from NY-ALESUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from VERLEGENHUKEN
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.