Rerun subset of periodic surging experiments that did not make it 9ka #17
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andrewdnolan
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Identifying incomplete runsAssuming you have a import numpy as np
import xarray as xr
zarr_path = 'data/PeriodicSurges_Timeseries_9ka.zarr'
src = xr.open_dataset(zarr_path, engine='zarr')
nt = src.dims["t"]
betas = []
periods = []
for SP in src.SP:
for beta in src.beta:
da = src.sel(SP=SP, beta=beta).percent_temperate
# number of nans
nn = np.count_nonzero(da.isnull())
# final valid timestep
idx, = np.where(da.isnull())
t_f = da.t.isel(t=idx[0]-1)
if (nn > 1) & (t_f < 8e3):
betas.append(float(beta))
periods.append(float(SP))
np.savetxt("incomplete_runs.dat", np.array([periods, betas]).T)The |
Also updated readme with chunked simulations renaming instructions
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About a third of the periodic surging experiment did not make it the end of the 9ka simulation. The purpose of this PR is to rerun those simulations that failed, with a bit more attention and babysitting this time around.