wavy.grid_stats

Module Contents

Functions

grid_mean(gco, **kwargs)	purpose: computes gridded means
grid_mean_group(gco, **kwargs)	purpose: computes gridded means with group strategy
grid_stats_group(gco, **kwargs)	purpose: computes gridded rmse with group strategy
grid_rmse(gco, **kwargs)	purpose: computes gridded rmse
apply_metric([gco])	dispatch table for various validation metrics

wavy.grid_stats.grid_mean(gco, **kwargs)

purpose: computes gridded means arguments:

Midx -> index matrix Midx[0]: indices for grid longitude

indices for grid latitude

glons -> grid longitude glats -> grid latitude ovals -> observation values

returns:

var_grid -> gridded variable lon_grid -> longitude grid lat_grid -> latitude grid

wavy.grid_stats.grid_mean_group(gco, **kwargs)

purpose: computes gridded means with group strategy arguments:

Midx -> index matrix Midx[0]: indices for grid longitude

indices for grid latitude

glons -> grid longitude glats -> grid latitude ovals -> observation values

returns:

var_grid -> gridded variable lon_grid -> longitude grid lat_grid -> latitude grid

wavy.grid_stats.grid_stats_group(gco, **kwargs)

purpose: computes gridded rmse with group strategy arguments:

Midx -> index matrix Midx[0]: indices for grid longitude

indices for grid latitude

glons -> grid longitude glats -> grid latitude ovals -> observation values mvals -> model values

returns:

var_grid -> gridded variable lon_grid -> longitude grid lat_grid -> latitude grid

wavy.grid_stats.grid_rmse(gco, **kwargs)

purpose: computes gridded rmse arguments:

Midx -> index matrix Midx[0]: indices for grid longitude

indices for grid latitude

glons -> grid longitude glats -> grid latitude ovals -> observation values mvals -> model values

returns:

var_grid -> gridded variable lon_grid -> longitude grid lat_grid -> latitude grid

wavy.grid_stats.apply_metric(gco=None, **kwargs)

dispatch table for various validation metrics