# Changes between Version 38 and Version 39 of udg/ecoms

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Timestamp:
Mar 14, 2013 3:39:04 PM (9 years ago)
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 v38 The impact activities on seasonal timescales involved in [http://www.specs-fp7.eu SPECS] and [http://www.euporias.eu EUPORIAS] projects require the use of different data sources (mainly seasonal forecasts, reanalysis, and observations). These activities include the calibration, downscaling, and modelling of sector-specific indices in agriculture, energy, health, etc., building on meteorological information. Typically, only a reduced subset of surface variables (precipitation, temperatures, mean sea level pressure, etc.) or in a reduced number of vertical levels (circulation and termodynamic drivers at, e.g., 850, 500, 200 hPa) is required for these activities.  The ''SPECS-EUPORIAS Data Portal'' has been established by the '''Santander Meteorology Group (UC-CSIC)''' to gather the relevant information from existing datasets in order to provide a unique homogenized access to data for the SPECS and EUPORIAS partners (in particular for impact-users). The ''SPECS-EUPORIAS Data Portal'' is based on a THREDDS data server providing metadata and data access using OPeNDAP and other remote data access protocols. Moreover, since the R language (http://www.r-project.org) has been adopted for some key tasks in these projects (including the development of comprehensive validation and statistical-downscaling packages) a user-friendly R package has been developed to explore and access the data portal. This package can be used in R programs to remotely access subsets of data, thus reducing the burden of data access (versions for Python and Matlab are also available under request). This package will be continuously updated (keep informed at the documentation URL above) as part of the data management activities to build a data bridge for impact users and for the R developments to be done in these projects. The ''SPECS-EUPORIAS Data Portal'' is based on a THREDDS Data Server ([http://www.unidata.ucar.edu/projects/THREDDS/ TDS]) providing metadata and data access using OPeNDAP and other remote data access protocols. Moreover, since the R language (http://www.r-project.org) has been adopted for some key tasks in these projects (including the development of comprehensive validation and statistical-downscaling packages) a user-friendly R package has been developed to explore and access the data portal. This package can be used in R programs to remotely access subsets of data, thus reducing the burden of data access (versions for Python and Matlab are also available under request). This package will be continuously updated (keep informed at the documentation URL above) as part of the data management activities to build a data bridge for impact users and for the R developments to be done in these projects. This document briefly describes the current state of the data portal, which has initially focused on data from the ''ECMWF's System4 seasonal model'', as agreed in the downscaling parallel session of the kick-off meeting. = The THREDDS Data Server = #s.thredds The ''SPECS-EUPORIAS Data Portal'' is based on a password-protected THREDDS data server providing metadata and data access to a set of georeferenced atmospheric variables using OPeNDAP and other remote data access protocols. The variables names, units and additional metadata follow the [http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.4/cf-conventions.html CF convention]. The variables are spatial grids based on multidimensional arrays of indexed values, following Unidata's ''_Coordinate convention''[[FootNote(http://www.unidata.ucar.edu/software/netcdf-java/reference/CoordinateAttributes.html)]][[FootNote(http://www.unidata.ucar.edu/software/netcdf-java/tutorial/GridDatatype.html)]]. The ''SPECS-EUPORIAS Data Portal'' is based on a password-protected THREDDS data server (TDS) providing metadata and data access to a set of georeferenced atmospheric variables using OPeNDAP and other remote data access protocols. The variables names, units and additional metadata follow the [http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.4/cf-conventions.html CF convention]. The variables are spatial grids based on multidimensional arrays of indexed values, following Unidata's ''_Coordinate convention''[[FootNote(http://www.unidata.ucar.edu/software/netcdf-java/reference/CoordinateAttributes.html)]][[FootNote(http://www.unidata.ucar.edu/software/netcdf-java/tutorial/GridDatatype.html)]]. Typically the data portal will include information at a daily resolution, but monthly-aggregated values could be also provided in some cases due to data limitations (in particular, ''Mètèo-France'' and ''Met Office'' have agreeed to provide monthly mean hindcasts for their use by the ''SPECS'' and ''EUPORIAS'' partners). In general, the data available will be typical surface variables (e.g. precipitation and near-surface temperature), although several variables (e.g. geopotential and temperature) on pressure levels will also be  stored for the statistical downscaling activities.