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Land sea mask generation #1006

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merged 11 commits into from
Dec 18, 2023
Merged

Land sea mask generation #1006

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a6025f2
first commit
lee1043 Dec 15, 2023
27ee3dc
modularize target grid and land sea mask generations, remove CDAT com…
lee1043 Dec 16, 2023
ac74c96
pre-commit fix
lee1043 Dec 16, 2023
da35f2a
replace cdutil generate land sea mask to the regionmask-based new fun…
lee1043 Dec 16, 2023
7710087
pre-commit fix
lee1043 Dec 16, 2023
471bdda
copy sort_human function to utils
lee1043 Dec 16, 2023
019e497
remove width=0.5 that is deprecated in xcdat latest version
lee1043 Dec 16, 2023
51434ef
update documentation
lee1043 Dec 17, 2023
69883ef
apply landmask function added, clean up
lee1043 Dec 17, 2023
33c7df9
clean up
lee1043 Dec 17, 2023
2a7d98f
clean up
lee1043 Dec 17, 2023
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pre-commit fix
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@lee1043
lee1043 committed Dec 16, 2023
commit ac74c96c4f5ed1a40f3a9d29406a00a12b6d2614
3 changes: 1 addition & 2 deletions pcmdi_metrics/mean_climate/mean_climate_driver.py
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Expand Up @@ -14,9 +14,8 @@
load_and_regrid,
mean_climate_metrics_to_json,
)
from pcmdi_metrics.utils import create_land_sea_mask, create_target_grid
from pcmdi_metrics.variability_mode.lib import sort_human, tree
from pcmdi_metrics.utils import create_land_sea_mask
from pcmdi_metrics.utils import create_target_grid

parser = create_mean_climate_parser()
parameter = parser.get_parameter(argparse_vals_only=False)
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2 changes: 1 addition & 1 deletion pcmdi_metrics/utils/__init__.py
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@@ -1,2 +1,2 @@
from .create_land_sea_mask import create_land_sea_mask
from .create_target_grid import create_target_grid
from .create_target_grid import create_target_grid
7 changes: 4 additions & 3 deletions pcmdi_metrics/utils/create_target_grid.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
import xcdat as xc
import xarray as xr
import xcdat as xc


def create_target_grid(target_grid_resolution: str) -> xr.Dataset:
"""Generate a global uniform grid for given resolution
Expand All @@ -22,8 +23,8 @@ def create_target_grid(target_grid_resolution: str) -> xr.Dataset:
start_lon = 0.0 + lon_res / 2
end_lat = 90.0 - lat_res / 2
end_lon = 360.0 - lon_res / 2

t_grid = xc.create_uniform_grid(
start_lat, end_lat, lat_res, start_lon, end_lon, lon_res
)
return t_grid
return t_grid