Skip to content

Fix two ocn plots (change_sea_level, and change_ohc) when no atm data present #46

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
forsyth2 merged 1 commit into from
Dec 17, 2025
Merged

Fix two ocn plots (change_sea_level, and change_ohc) when no atm data present #46

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 12 additions & 2 deletions zppy_interfaces/global_time_series/coupled_global/plots_original.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,15 +47,25 @@ def process_data(
if exp["moc"] != "":
ohc_variable = Variable("ohc")
dataset_wrapper = DatasetWrapper(exp["moc"])
exp["annual"]["ohc"], _ = dataset_wrapper.globalAnnual(ohc_variable)
ohc_data_array, _ = dataset_wrapper.globalAnnual(ohc_variable)
exp["annual"]["ohc"] = ohc_data_array
# Populate year key if not already present
if "year" not in exp["annual"]:
years = ohc_data_array.coords["time"].values
exp["annual"]["year"] = [x.year for x in years]
# anomalies with respect to first year
exp["annual"]["ohc"][:] = exp["annual"]["ohc"][:] - exp["annual"]["ohc"][0]

logger.info("Reading vol")
if exp["vol"] != "":
vol_variable = Variable("volume")
dataset_wrapper = DatasetWrapper(exp["vol"])
exp["annual"]["volume"], _ = dataset_wrapper.globalAnnual(vol_variable)
vol_data_array, _ = dataset_wrapper.globalAnnual(vol_variable)
exp["annual"]["volume"] = vol_data_array
# Populate year key if not already present
if "year" not in exp["annual"]:
years = vol_data_array.coords["time"].values
exp["annual"]["year"] = [x.year for x in years]
# annomalies with respect to first year
exp["annual"]["volume"][:] = (
exp["annual"]["volume"][:] - exp["annual"]["volume"][0]
Expand Down
Loading