Apply Statistical Post-Processing to Improve Sea Ice Predictions

Tools for modeling and correcting biases in sea ice predictions obtained from dynamical models. This package depends on the 'ncdf4' and 'rgeos' R packages. These packages respectively require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.) References, Bivand and Rundel (2017) <>, Open Source Geospatial Foundation (2017) <>, Pierce (2017) <>, Unidata (2017) <>.


Reference manual

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1.2.0 by Hannah M. Director, 2 years ago

Browse source code at

Authors: Hannah M. Director , Adrian E. Raftery , and Cecilia M. Bitz

Documentation:   PDF Manual  

GPL (>= 2) license

Imports ncdf4, maptools, MASS, raster, methods, utils

Depends on rgeos, sp

Suggests geosphere, fields, knitr, rmarkdown

See at CRAN