Changes between Version 59 and Version 60 of udg/ecoms

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Apr 1, 2013 5:35:11 AM (9 years ago)
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 v59 Contents (under development): {{{#!comment [[TOC(SpecsEuporias,depth=2,inline,noheading)]] }}} * [wiki:SpecsEuporias/Interfaces/RPackage/Matlab Matlab] = Introduction and Motivation = #s.intro 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 ([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. = Example of Data Analysis with R = #app1 = References = [[FootNote]]