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 the search selector (identifying AND or OR behaviour). Words that should be included in the results can be identified by prefixing them with '+', similarily words that should not be found in the results should be prefixed with '-'. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming OR operator).
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. Utilisation of multiple elements in the search page are inclusive in the sense that all constraints are applied simultaneously. The search can be reset using the RESET buttons below the free text field or in the map. Following a reset it is wise to select parents in the search interface again to avoid having too many responses.
This MODF contains measurements from the Sodankyla supersite, located in the Arctic boreal
forest of northern Finland. This environment is characterised by alternating patches of dense
and sparse forest, wetland, lakes, and rivers, and the footprint of most satellite sensors
and model grids will typically encompass more than one of these surface types. To capture the
impact that the variation in surface type can have on surface and atmospheric processes, the
supersite comprises multiple stations and instrument installations measuring the same
parameters deployed in multiple locations.
Institutions: Environment and Climate Change Canada, Environment and Climate Change Canada, Environment and Climate Change Canada, Norwegian Meteorological Institute / Arctic Data Centre
Eureka is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.
Tiksi is a node for a number of global observation programs, and the science focus is on atmosphere-surface exchanges, radiation, aerosols, and climate grade meteorological measurements.
Institutions: Environment and Climate Change Canada, Environment and Climate Change Canada, Environment and Climate Change Canada, Norwegian Meteorological Institute / Arctic Data Centre
The North Slope of Alaska (NSA) atmospheric observatory at Utqiaġvik (formerly Barrow) provides data about cloud and radiative processes at high latitudes. The NSA is a focal point for atmospheric and ecological research activity in the Arctic. Scientists use data from the NSA to improve the representation of high-latitude cloud and radiation processes in earth system models.
This dataset combines several others for the stations at Ny Alesund. The focus is on the special observing periods for YOPPsiteMIP: SOP1 (Feb-Mar 2018) and SOP2 (Jul-Sep 2018).
The timeSeries data are primarily surface measurements: winds and temperature, radiation, precipitation, and cloud base height.
To clarify the mass and heat balance, snow depositional condition on ice sheet, AWS was installed at H128. The H128 Automatic Weather Station (AWS) Data Graph provides a variety of real-time data, including air temperature, relative humidity, wind speed, wind direction, up and down shortwave radiation, up and down longwave radiation, surface air pressure, snow height, snow temperature, and more. The H128 site is located on coastal Dronning Maud Land, East Antarctica (69.4S, 41.57E, 1380 m a.s.l). This AWS is maintained and operated by JARE/NIPR.
Zooplankton samples were collected by vertical haul of Quad-NORPAC nets at 58 stations in the Pacific sector of the Arctic Ocean. The Quad-NORPAC net (mesh sizes: 335, 150 and two of 63 micrometre [one is for a fixed sample and the other has a large-sized cod-end to collected fresh samples for incubation], mouth diameter: 45 cm) was towed between the surface and the depth of 150 m (or the bottom - 10 m at stations where the bottom was <150 m) at all stations.
Arctic Challenge for Sustainability, GREen Network of Excellence - Arctic Climate Change Research Project
Last metadata update: 2019-06-13T00:00:00Z
Show more...
Abstract:
These automatic weather station (AWS) data were measured as part of the "Snow Impurity and Glacial Microbe effects on abrupt warming in the Arctic (SIGMA)" Project (link to http://www.mri-jma.go.jp/Dep/cl/cl6/sigma/sigma-e.html) supported by Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (S), number 23221004. The data set contain 1-hourly meteorological and snow parameters measured at sites of SIGMA-A and SIGMA-B on the northwest Greenland since summer 2012.SIGMA-A is located on the Greenland ice sheet and SIGMA-B on Qaanaaq ice cap. The measured parameters are air temperature, relative humidity, wind speed, wind direction, air pressure, snow height, downward and upward components of shortwave, near-infrared and longwave radiant flux densities, and snow temperatures. The measured data were received from the ARGOS satellite network in semi-real time every day. Photos of these AWSs are presented in SIGMA Project HP.
The archive contains the monitored values of air pressure, heights of geopotential surface, air temperature, dew point deficit, and wind direction and speed at the ground level and at standard isobaric surfaces; level of tropopause; levels of specific points on air temperature and humidity, wind speed; level of maximal wind and wind rotation level, as well as data about cloudiness during radio sounding. The Finnish VAISALA DigiCora III MW31 system and RS-92-SGP sounds have been used for soundings. During the periods of special observations in the frame of the Year of Polar Prediction (February - March, July - September 2018), additional soundings had been executed at 12 UTC with support of National Institute of Polar Research of Japan (NIPR). This data set is a summary of YoPP-SOP1 and SOP2 data.
This repository includes datasets for the ice nucleating particle samples collected in Svalbard. The data on the ice nucleation active site densities per unit mass (n_m) for glacial outwash sediments (before and after H2O2 treatment) were obtained from the samples collected at two points near the glacier Broggerbreen in Svalbard. The data on the number concentrations of atmospheric ice nucleating particles (N_INP) were obtained from the samples collected at the Zeppelin Observatory in Ny-Alesund, Svalbard, during the intensive measurements campaigns in July 2016 (6 samples) and March 2017 (7 samples). The 95% confidence intervals for these data are also presented.
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