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Modify definition
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louisPoulain committed Jul 15, 2024
1 parent fffeb82 commit 48836ae
Showing 1 changed file with 17 additions and 17 deletions.
34 changes: 17 additions & 17 deletions mlpp_features/nwp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -157,7 +157,7 @@ def _cloud_area_fraction_ens(
data: Dict[str, xr.Dataset], stations, **kwargs
) -> xr.DataArray:
"""
Ensemble of total cloud cover in %
Ensemble of total cloud cover (fraction)
"""
return (
data["nwp"]
Expand All @@ -172,7 +172,7 @@ def cloud_area_fraction_ens(
data: Dict[str, xr.Dataset], stations, reftimes=None, leadtimes=None, **kwargs
) -> xr.DataArray:
"""
Ensemble of total cloud cover in %
Ensemble of total cloud cover (fraction)
"""
ens_data = _cloud_area_fraction_ens(data, stations, **kwargs)
ens_data = ens_data.preproc.align_time(reftimes, leadtimes)
Expand All @@ -184,7 +184,7 @@ def cloud_area_fraction_ensavg(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble mean of total cloud cover in %
Ensemble mean of total cloud cover (fraction)
"""
ens_data = cloud_area_fraction_ens(data, stations, **kwargs)
return ens_data.mean("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -195,7 +195,7 @@ def cloud_area_fraction_ensctrl(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble control of total cloud cover in %
Ensemble control of total cloud cover (fraction)
"""
ens_data = cloud_area_fraction_ens(data, stations, **kwargs)
return (
Expand All @@ -210,7 +210,7 @@ def cloud_area_fraction_ensstd(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble standard deviation of total cloud cover in %
Ensemble standard deviation of total cloud cover (fraction)
"""
ens_data = cloud_area_fraction_ens(data, stations, **kwargs)
return ens_data.std("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -233,7 +233,7 @@ def cloud_area_fraction_high_ens(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble of high cloud cover in %
Ensemble of high cloud cover (fraction)
"""
ens_data = _cloud_area_fraction_high_ens(data, stations, **kwargs)
ens_data = ens_data.preproc.align_time(reftimes, leadtimes)
Expand All @@ -245,7 +245,7 @@ def cloud_area_fraction_high_ensavg(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble mean of high cloud cover in %
Ensemble mean of high cloud cover (fraction)
"""
ens_data = cloud_area_fraction_high_ens(data, stations, **kwargs)
return ens_data.mean("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -256,7 +256,7 @@ def cloud_area_fraction_high_ensctrl(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble control of high cloud cover in %
Ensemble control of high cloud cover (fraction)
"""
ens_data = cloud_area_fraction_high_ens(data, stations, **kwargs)
return (
Expand All @@ -271,7 +271,7 @@ def cloud_area_fraction_high_ensstd(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble standard deviation of high cloud cover in %
Ensemble standard deviation of high cloud cover (fraction)
"""
ens_data = cloud_area_fraction_high_ens(data, stations, **kwargs)
return ens_data.std("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -294,7 +294,7 @@ def cloud_area_fraction_low_ens(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble of low cloud cover in %
Ensemble of low cloud cover (fraction)
"""
ens_data = _cloud_area_fraction_low_ens(data, stations, **kwargs)
ens_data = ens_data.preproc.align_time(reftimes, leadtimes)
Expand All @@ -306,7 +306,7 @@ def cloud_area_fraction_low_ensavg(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble mean of low cloud cover in %
Ensemble mean of low cloud cover (fraction)
"""
ens_data = cloud_area_fraction_low_ens(data, stations, **kwargs)
return ens_data.mean("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -317,7 +317,7 @@ def cloud_area_fraction_low_ensctrl(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble control of low cloud cover in %
Ensemble control of low cloud cover (fraction)
"""
ens_data = cloud_area_fraction_low_ens(data, stations, **kwargs)
return (
Expand All @@ -332,7 +332,7 @@ def cloud_area_fraction_low_ensstd(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble standard deviation of low cloud cover in %
Ensemble standard deviation of low cloud cover (fraction)
"""
ens_data = cloud_area_fraction_low_ens(data, stations, **kwargs)
return ens_data.std("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -355,7 +355,7 @@ def cloud_area_fraction_medium_ens(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble of medium cloud cover in %
Ensemble of medium cloud cover (fraction)
"""
ens_data = _cloud_area_fraction_medium_ens(data, stations, **kwargs)
ens_data = ens_data.preproc.align_time(reftimes, leadtimes)
Expand All @@ -367,7 +367,7 @@ def cloud_area_fraction_medium_ensavg(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble mean of medium cloud cover in %
Ensemble mean of medium cloud cover (fraction)
"""
ens_data = cloud_area_fraction_medium_ens(data, stations, **kwargs)
return ens_data.mean("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
Expand All @@ -378,7 +378,7 @@ def cloud_area_fraction_medium_ensctrl(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble control of medium cloud cover in %
Ensemble control of medium cloud cover (fraction)
"""
ens_data = cloud_area_fraction_medium_ens(data, stations, **kwargs)
return (
Expand All @@ -393,7 +393,7 @@ def cloud_area_fraction_medium_ensstd(
data: Dict[str, xr.Dataset], stations, reftimes, leadtimes, **kwargs
) -> xr.DataArray:
"""
Ensemble standard deviation of medium cloud cover in %
Ensemble standard deviation of medium cloud cover (fraction)
"""
ens_data = cloud_area_fraction_medium_ens(data, stations, **kwargs)
return ens_data.std("realization").to_dataset().preproc.align_time(reftimes, leadtimes)
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