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.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:17:26Z
Show more...
Abstract:
Radiosonde profiles from JAN MAYEN. 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
Show more...
Abstract:
Radiosonde profiles from NY-ALESUND II. 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
Show more...
Abstract:
Radiosonde profiles from KEFLAVIKURFLUGVOLLUR. 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
Show more...
Abstract:
Radiosonde profiles from JYVASKYLA AIRPORT. 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
Show more...
Abstract:
Radiosonde profiles from AASIAAT (EGEDESMINDE). 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
Show more...
Abstract:
Radiosonde profiles from LULEA-KALLAX. 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
Show more...
Abstract:
Radiosonde profiles from BJORNOYA. 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
Show more...
Abstract:
Radiosonde profiles from ORLAND III. 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
Show more...
Abstract:
Radiosonde profiles from DANMARKSHAVN. 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
Show more...
Abstract:
Radiosonde profiles from EGILSSTADIR. 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
Show more...
Abstract:
Radiosonde profiles from TORSHAVN. 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
Show more...
Abstract:
Radiosonde profiles from ITTOQQORTOORMIIT (SCORESBYSUND). 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
Show more...
Abstract:
Radiosonde profiles from TASIILAQ (AMMASSALIK). 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
Show more...
Abstract:
Radiosonde profiles from GEOSUMMIT. 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: ISAC-CNR, ISP-CNR, Università di Chieti
Last metadata update: 2022-01-24T14:29:19Z
Show more...
Abstract:
The main goal of our proposal is to characterize the surface radiative budget as well as cloudiness which features at the Argentine Bases Marambio and Belgrano II during the YOPP-SH Special Observing Period (SOP) as well as the YOPP Consolidation Phase. Specific objectives to secure our main goal during the SOP will be:
1 - develop a compact Radiation Measurement UNIT (RMU) robust enough to allow continuous measurements in harsh environment through which to make shortwave, longwave observations as well as to record status of the sky.
2 - secure UV measurements at both stations.
3 - develop specific tools to analyse on a daily basis (weakly for clouds) collected data and extract parameters of interest. For radiation these will include QA/QC SW and LW downwelling and upwelling fluxes, diffuse and direct components of solar radiation, UV spectral flux and doses. For clouds these will include, on a continuous base, cloud fraction derived both from radiometric measurement and sky camera observations, cloud type and cloud effect on SW radiation. In addition cloud base (or cloud ceiling) will be obtained by routine observations performed at the two stations. From UV measurements columnar ozone content will be also derived.
Moving forward to YOPP consolidation phase, we plan to:
1 - extend dataset and its analysis, start to collect information on seasonal and inter-annual variability, determine Cloud radiative Forcing (CRF)
2 - perform extensive comparison between automatic and visual cloudiness observation methods. They being very useful to better understand quality and value of historical datasets at the two stationsù
3 - make comparison with cloudiness regime of Ross Sea and Antarctic Plateau. Make similar comparison for UV fluxes in the Peninsula and at Concordia.