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.
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This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR.
This dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. Sea surface temperature was measured by the underway SBE38 bow temperature sensor for the majority of the cruise, with 2m CTD observations used to fill several short gaps where high frequency observations were available. Additionally these observations have been processed using the COARE 3.0a bulk aerodynamic flux algorithm to provide bulk variables at standard heights and estimated flux coefficients. Attached documentation on quality control methods and calibrations should be consulted before using these data.
This dataset contains upper air sounding profiles of temperature, pressure, humidity, wind speed and wind direction measurements from the NCAS Vaisala Sounding Station unit 2 radiosonde lauches. The radiosondes were launched over Greenland and Iceland from the Alliance research ship for the Iceland Greenland seas Project (IGP).
The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)
Collaborative Research: Antarctic Automatic Weather Station Program 2016-2019 (Wisconsin AWS)
Institutions: University of Wisconsin - Madison
Last metadata update: 2021-10-15T18:32:57Z
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Abstract:
In February 2011, the Antarctic Meteorological Research Center installed Alexander Tall Tower!, a 30-m-tall automatic weather station located on the Ross Ice Shelf at 79.0238S, 170.6998E. The surface elevation at the tower site is 55 m. There are six observational levels over the 30-m height of the tower that allow for analysis of the lower portion of the boundary layer in this region. In total, there are six temperature sensors, four aerovanes, two wind anemometers, two relative humidity sensors, a net shortwave and net longwave radiation sensor, a pressure sensor, and an acoustic depth gauge (to measure snow depth). The heights of each tower level are approximate, as snow accumulation and drift can slightly affect these; however, efforts are made to restore these heights when the site is visited every year or two. Having multiple levels of observation allows for computation of the sensible and latent heat fluxes using bulk flux formulations with the mean atmospheric measurements from the tower. These flux estimates allow us to quantify this portion of the Ross Ice Shelf’s role as an atmospheric energy sink.
This dataset contains corrected observations (motion and translational movement) from a WindCube V2 Lidar (Leosphere). The instrument was mounted on the NATO Research Vessel Alliance during Iceland Greenland Seas Project (IGP) campaign in February–March 2018.
The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1).
his dataset contains measurements from the Micro Rain Radar (MRR2), manufactured by Meteorologische Messtechnik GmbH (Metek) installed onboard the NATO Research Vessel Alliance during the Iceland Greenland Seas Project. The MRR2 is a frequency modulated (FM), continuous wave (CW) Radar (Radio Detection and Ranging) that obtains doppler spectral density at each range gate with a time resolution of 10 s. The terminal velocity of the precipitation targets (vT) is the primarily retrieved variable from these doppler spectral density observations. Additionally, drop size distribution and the corresponding moments, for example liquid water content (LWC), rain rate (RR) and Radar Reflectivity (Ze) are retrieved with post processing. The initial installation location from 03-13 Feb 2018 was midship on the weatherdeck. At Reykjavik harbour the MRR2 worked as expected, while at sea artificial signals at three elevations appeared. The artificial signals were due to an interference on the power cable or power source. On 11 Feb 2018, a separate power source for the MRR2 could be secured, and it subsequently operated without interferences after ~12 UTC that day. For further details and figures on the MRR2 and its operation in the cruise please read the attached documentation. Citable as: Sodemann, H. (2021): Iceland Greenland seas Project (IGP): precipitation measurements from the University of Bergen Micro Rain Radar (MRR2) on board the NATO Research Vessel Alliance. Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/dc723f82939843f199fff78778d5b8d0
Intensive Atmospheric Soundings during the Chinese Arctic Cruise in 2018 (IAS)
Institutions: Chinese Academy of Meteorological Sciences
Last metadata update: 2021-10-15T18:56:07Z
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Abstract:
To contribute to the special observing efforts of YOPP, we implemented intensive radio sounding activities along the cruise route of XUELONG icebreaker in summer 2018. The radiosoundes were launched 2-3 times per day from July 28 to Sept 3 in the Arctic Ocean and totally 76 soundings data were shared through WMO GIS in BUFR format. BUFR files are available for download.
This ocean model is operated at 20km resolution covering the Nordic Seas
and the Arctic Ocean. This specific dataset provides the daily analysis
from the operational model. Only the analysis is provided for historical
periods, the daily forecast with 1 hour resolution is provided as a
separate dataset. Currently the WMS presentation of this dataset is not
supporting the 3D nature.
A numerical model is applied to describe the dynamics of the oceans, such
as sea level variations (tides and storm surge), movements in the water
column (currents) and the salinity and temperature. To simulate the ocean,
a 3-D grid is applied with different sizes, i.e., small grids for fine
scale or detailed calculations, and larger or coarser grids to cover
larger areas (and depth). The model runs on a supercomputer, and provides
forecasts of sea level, currents, salinity and temperature for a
time-range between 66 (2.75 days) and 240 hours (10 days). The model is
run operationally, i.e, in a "24/7/365" environment to provide a 99.5%
stability on a yearly basis. Currents from the model is further applied in
emergency-models that simulates pathways of oil slicks and drifting
objects (Search And Rescue).
The ocean model used is the Regional Ocean Modeling System (ROMS). This is
a three-dimensional, free-surface, terrain-following numerical model that
solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic
and Boussinesq assumptions (Haidvogel et al., 2008).
Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E.
Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L.
Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M.
Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner,
and J. Wilkin, Ocean forecasting in terrain-following coordinates:
Formulation and skill assessment of the Regional Ocean Modeling System,
JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.
THIS MODEL IS DISCONTINUED AND NO FORECAST DATA IS AVAILABLE ONLINE.
This ocean model is operated at 20km resolution covering the Nordic Seas
and the Arctic Ocean. This specific dataset provides the hourly forecast
fields from the operational model. For historical purposes, the daily
analysis is provided as another dataset. If for some reason the
historical forecast is required, pleased use the contact information
provided to receive this (manual task).
A numerical model is applied to describe the dynamics of the oceans, such
as sea level variations (tides and storm surge), movements in the water
column (currents) and the salinity and temperature. To simulate the ocean,
a 3-D grid is applied with different sizes, i.e., small grids for fine
scale or detailed calculations, and larger or coarser grids to cover
larger areas (and depth). The model runs on a supercomputer, and provides
forecasts of sea level, currents, salinity and temperature for a
time-range between 66 (2.75 days) and 240 hours (10 days). The model is
run operationally, i.e, in a "24/7/365" environment to provide a 99.5%
stability on a yearly basis. Currents from the model is further applied in
emergency-models that simulates pathways of oil slicks and drifting
objects (Search And Rescue).
The ocean model used is the Regional Ocean Modeling System (ROMS). This is
a three-dimensional, free-surface, terrain-following numerical model that
solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic
and Boussinesq assumptions (Haidvogel et al., 2008).
Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E.
Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L.
Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M.
Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner,
and J. Wilkin, Ocean forecasting in terrain-following coordinates:
Formulation and skill assessment of the Regional Ocean Modeling System,
JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T15:00:52Z
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Abstract:
Sea ice concentration charts based on a manual interpretation of different satellite data. The main satellite sensor used are the SAR sensor (Synthetic Aperture Radar) suplemented by visual and infrared sensors and data from passive microwave sensors. As part of the Copernicus project the sea ice concentration product is gridded to a 1km spatial resoluton and converted to a NetCDF format. The concentration intervals follow the World Meteorological Organization (WMO) total concentration standard. A new product is delivered every weekday around 1500 UTC.
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.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:17:26Z
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Abstract:
Radiosonde profiles from MITTARFIK NARSARSUAQ. Data are high resolution soundings. Data are extracted from WMO GTS as WMO BUFR and reformatted to NetCDF/CF, no quality control is done.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:17:26Z
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Abstract:
Radiosonde profiles from JOKIOINEN OBSERVATORY. Data are high resolution soundings. Data are extracted from WMO GTS as WMO BUFR and reformatted to NetCDF/CF, no quality control is done.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:17:26Z
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Abstract:
Radiosonde profiles from SODANKYLA ARCTIC RESEARCH CENTRE. Data are high resolution soundings. Data are extracted from WMO GTS as WMO BUFR and reformatted to NetCDF/CF, no quality control is done.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:17:26Z
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Abstract:
Radiosonde profiles from ANDOYA. Data are high resolution soundings. Data are extracted from WMO GTS as WMO BUFR and reformatted to NetCDF/CF, no quality control is done.