def _corrs_surrs_ind(args):
nao_surr = nao.copy()
nao_surr.data = get_single_FT_surrogate(nao.data)
jfm_nao_surr = nao_surr.data[jfm_index]
ann_nao_surr = []
for year in np.unique(y):
ann_nao_surr.append(np.mean(jfm_nao_surr[np.where(year == y)[0]]))
ann_nao_surr = np.array(ann_nao_surr)
corrs_surr = np.zeros_like(net.data[0, ...])
for lat in range(net.lats.shape[0]):
for lon in range(net.lons.shape[0]):
corrs_surr[lat, lon] = pearsonr(ann_nao_surr, ann_phase_fluc[:, lat, lon])[0]
return corrs_surr
def _corrs_surrs_ind(args):
nao_surr = nao.copy()
nao_surr.data = get_single_FT_surrogate(nao.data)
jfm_nao_surr = nao_surr.data[jfm_index]
ann_nao_surr = []
for year in np.unique(y):
ann_nao_surr.append(np.mean(jfm_nao_surr[np.where(year == y)[0]]))
ann_nao_surr = np.array(ann_nao_surr)
corrs_surr = np.zeros_like(net.data[0, ...])
for lat in range(net.lats.shape[0]):
for lon in range(net.lons.shape[0]):
corrs_surr[lat, lon] = pearsonr(ann_nao_surr,
ann_phase_fluc[:, lat, lon])[0]
return corrs_surr
def _corrs_surrs_ind(args):
index_surr = DataField()
index_surr.data = get_single_FT_surrogate(index_data.data)
index_correlations_surrs = get_corrs(net, index_surr)
return index_correlations_surrs
def _corrs_surrs_ind(args):
index_surr = DataField()
index_surr.data = get_single_FT_surrogate(index_data.data)
index_correlations_surrs = get_corrs(net, index_surr)
return index_correlations_surrs
