cond_prob

matrix with binary observations indicating if sea ice
concentration of at least 15$%$ was observed. Dimension is lon x lat.

matrix with estimated sea ice probability from a model. Dimension
is lon x lat.

Computes conditional probability of the observed event under some probability
model

Tools for correcting biases and calibrating sea ice predictions obtained from dynamic ensemble models. Implements and extends Director et al. (2017) <doi:10.1175/JCLI-D-17-0185.1> This package depends on the 'ncdf4' and 'rgeos' R packages. These packages require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.)

Hannah Director

cond_prob: Compute conditional probability of observed event

Description

Usage

Arguments