def calc_amoc_psi_and_index_correlation_map(args):
"""
A depth plot of correlation with the AMOC index.
"""
amoc_psi_map, amoc_idx_ts, amoc_idx_smoothed_ts, use_smoothed = args
cor_map = np.zeros_like(amoc_psi_map[0,:,:])
for ind, _ in np.ndenumerate(amoc_psi_map[0, :, :]):
i, j = ind[0], ind[1]
if amoc_psi_map.mask[0, i, j]:
continue
amoc_psi_ts = pd.Series(amoc_psi_map[:, i, j], amoc_idx_ts.index)
if use_smoothed:
amoc_psi_ts = lowess_smoothed(amoc_psi_ts)
cor_map[i, j] = amoc_idx_ts.corr(amoc_psi_ts)
return cor_map
def calc_sst_and_amoc_index_cor_map(args):
sst_nh_diff_ts, amoc_psi_max_ts, amoc_psi_max_smoothed_ts, use_smoothed = args
assert(sst_nh_diff_ts.shape[0] == len(amoc_psi_max_ts))
assert(sst_nh_diff_ts.shape[0] == len(amoc_psi_max_smoothed_ts))
cor_map = np.zeros_like(sst_nh_diff_ts[0,:,:])
for ind, _ in np.ndenumerate(sst_nh_diff_ts[0, :, :]):
i, j = ind[0], ind[1]
if sst_nh_diff_ts.mask[0, i, j]:
continue
diff_ts = pd.Series(sst_nh_diff_ts[:, i, j],
amoc_psi_max_ts.index)
if use_smoothed:
diff_ts = lowess_smoothed(diff_ts)
cor_map[i, j] = amoc_psi_max_ts.corr(diff_ts)
return cor_map
def main():
parser = argparse.ArgumentParser()
parser.add_argument('input_files', nargs='+',
help='The MOM ocean.nc input data files.')
parser.add_argument('--grid_def_file', default='ocean_grid.nc',
help='The ocean grid definition file.')
parser.add_argument('--output_file', default='amoc_index_timeseries.png',
help='Name of the plot.')
plot_name = 'amoc_psi_and_index_correlation_depth_map.png'
parser.add_argument('--depth_correlation_output_file', default=plot_name,
help='Name of the plot.')
plot_name = 'amoc_psi_and_sst_correlation_surface_map.png'
parser.add_argument('--surface_correlation_output_file', default=plot_name,
help='Name of the plot.')
parser.add_argument('--offset', default=0, type=int, help='FIXME.')
args = parser.parse_args()
do_timeseries_plot = args.output_file.lower() != 'none'
do_depth_correlation_plot = \
args.depth_correlation_output_file.lower() != 'none'
do_surface_correlation_plot = \
args.surface_correlation_output_file.lower() != 'none'
amoc_idx_ts, amoc_psi_max_ts, amoc_psi_mean_ts, amoc_psi, sst_nh_diff_ts = \
collect_timeseries(args.input_files, args.grid_def_file,
do_depth_correlation_plot,
do_surface_correlation_plot)
if args.offset != 0:
amoc_psi_max_ts = pd.Series(amoc_psi_max_ts.values[args.offset:],
amoc_psi_max_ts.index[:-args.offset])
amoc_idx_ts = pd.Series(amoc_idx_ts.values[:-args.offset],
amoc_idx_ts.index[:-args.offset])
if do_depth_correlation_plot:
amoc_psi = amoc_psi[args.offset:,:,:]
if do_surface_correlation_plot:
sst_nh_diff_ts = sst_nh_diff_ts[:-args.offset,:,:]
amoc_idx_smoothed_ts = lowess_smoothed(amoc_idx_ts)
amoc_psi_max_anomaly_ts = abs_to_anomaly(amoc_psi_max_ts)
amoc_psi_max_anomaly_smoothed_ts = lowess_smoothed(amoc_psi_max_anomaly_ts)
amoc_psi_max_smoothed_ts = lowess_smoothed(amoc_psi_max_ts)
#amoc_idx_smoothed_ts = pd.rolling_mean(amoc_idx_ts, window=12)
#amoc_psi_max_anomaly_ts = abs_to_anomaly(amoc_psi_max_ts)
#amoc_psi_max_anomaly_smoothed_ts = pd.rolling_mean(amoc_psi_max_anomaly_ts, window=12)
#amoc_psi_max_smoothed_ts = pd.rolling_mean(amoc_psi_max_ts, window=12)
if do_timeseries_plot:
plot_timeseries(amoc_idx_ts, amoc_idx_smoothed_ts, amoc_psi_max_ts,
amoc_psi_max_anomaly_ts, amoc_psi_max_anomaly_smoothed_ts,
args.output_file)
if do_depth_correlation_plot:
depth_cor_map = amoc_psi_and_amoc_index_cor_map(amoc_psi, amoc_idx_ts,
amoc_idx_smoothed_ts,
use_smoothed=True)
plot_depth_cor_map(depth_cor_map, args.input_files[0],
args.depth_correlation_output_file)
if do_surface_correlation_plot:
surface_cor_map = sst_and_amoc_max_cor_map(sst_nh_diff_ts, amoc_psi_max_ts,
amoc_psi_max_smoothed_ts,
use_smoothed=True)
plot_surface_cor_map(surface_cor_map, args.input_files[0],
args.surface_correlation_output_file)
print_amoc_idx_region_info(args.input_files[0])
return 0
