[[Image(Rlogo.jpg)]] * [wiki:./versions Versions] * [wiki:./prerequisites Pre-requisites] * [wiki:./Authentication Authentication] * [wiki:./Homogeneization Data Homogeneization] * [wiki:./Examples Examples] = Overview of the `ecomsUDG.Raccess` package Since the [http://www.r-project.org/ R language] has been adopted for some key tasks in the EUPORIAS and SPECS projects (including the development of comprehensive validation and statistical-downscaling packages), the `ecomsUDG.Raccess` is envisaged as a user-friendly, R-based interface to the ECOMS User Data Gateway, enabling [wiki:./Authentication authentication] and remote access to the different datasets (seasonal forecasting, observations, reanalysis) currently available. Moreover, `ecomsUDG.Raccess` implements data homogenization (a single vocabulary) and time filtering/aggregation functionality. The `ecomsUDG.Raccess` package relies on the `rJava` package as an interface to the powerful capabilities of the [http://www.unidata.ucar.edu/downloads/netcdf/netcdf-java-4/index.jsp Unidata's netCDF Java library]. {{{#!comment * [wiki:./Functions Defined Functions] }}} The following panels show an illustrative use of ECOMS-UDG to obtain the minimum DJF temperature DJF bias for System4 hindcast (one-month lead time) over Europe. WFDEI is used as reference. ||= R code =||= Output =|| {{{#!td {{{ obs <- loadECOMS(dataset = "WFDEI", var = "tasmin", season = c(12,1,2)) prd<- loadECOMS(dataset = ”System4_seasonal_15", var = "tasmin”, season = c(12,1,2), members = 1:2, leadMonth = 1) }}} {{{ obsr <- interpGridData(gridData = obs, new.grid = getGrid(prd), method = "bilinear") plotMeanBias(obsr,prd) }}} }}} {{{#!td [[Image(fig_bias.png)]] }}}