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cleanup of the OCFL filling in function, adding Chavas method for filling in pressure #109

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WPringle wants to merge 3 commits into from
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cleanup of the OCFL filling in function, adding Chavas method for filling in pressure #109

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1fe2bee
moving carq_ref to above holland B calculation and just using that to…
WPringle Aug 5, 2024
9769866
removing duplicated line
WPringle Aug 5, 2024
fcdb159
Merge branch 'main' into cleanup/carq_hollandb
WPringle Oct 23, 2025
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17 changes: 8 additions & 9 deletions stormevents/nhc/track.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1347,19 +1347,18 @@ def movingmean(dff):
else:
carq_forecast = carq_tracks[list(carq_tracks)[0]]

# Get CARQ from forecast hour 0 and isotach 34kt (i.e. the first item)
carq_ref = carq_forecast.loc[carq_forecast.forecast_hours == 0].iloc[0]

# get the Holland B parameter for filling in central pressure
relation = HollandBRelation()
holland_b = relation.holland_b(
max_sustained_wind_speed=carq_forecast["max_sustained_wind_speed"],
background_pressure=carq_forecast["background_pressure"],
central_pressure=carq_forecast["central_pressure"],
max_sustained_wind_speed=carq_ref["max_sustained_wind_speed"],
background_pressure=carq_ref["background_pressure"],
central_pressure=carq_ref["central_pressure"],
)

holland_b[holland_b == numpy.inf] = numpy.nan
holland_b = numpy.nanmean(holland_b)

# Get CARQ from forecast hour 0 and isotach 34kt (i.e. the first item)
carq_ref = carq_forecast.loc[carq_forecast.forecast_hours == 0].iloc[0]

# find locations where the pertinent variables are missing
columns_of_interest = forecast[
["radius_of_maximum_winds", "central_pressure", "background_pressure"]
]
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