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loadeR: An R package for climate data access

Bedia, J., Iturbide, M., Herrera, S. and Gutiérrez, J.M.

loadeR is an R package for climate data access in a user-transparent way building on NetCDF Java. It allows loading either local or remote data (from OPeNDAP servers) and is fully integrated with the User Data Gateway (UDG). This package has been conceived to work in the framework of both seasonal forecasting and climate change studies. Thus, it considers ensemble members as a basic dimension of the data structure. Moreover, loadeR is enhanced by loadeR.ECOMS package which allows to remotely access harmonized data from several state-of-the-art seasonal forecasting databases stored at the ECOMS-UDG.

This package is part of the climate4R bundle, formed by loadeR, transformeR, downscaleR and visualizeR.

This wiki provides an up-to-date description of the package functionalities, with some worked examples:

1. Package Installation (and known problems)
2. Model Data (reanalysis and climate projections)
   1. Dataset definition and loading local grid data
   2. Loading remote grid data
   3. Loading data from the User Data Gateway (UDG)
3. Observations (station and gridded data)
   1. Standard (ASCII) format for station data
   2. Accessing and loading station data
   3. Accessing and loading grid data
4. Standard data manipulation
   1. Harmonization
   2. Exporting to netCDF