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Fix for IGRA dewpoint calculation #227

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merged 1 commit into from Jul 9, 2018
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swnesbitt
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There was an order of operations issue where the data being read dewpoint_depression was being subtracted from temperature before the field was flagged for missing values. This pull request simply changes the field being flagged and does the flagging before dewpoint is calculated, resulting in properly flagged dewpoints.

@CLAassistant
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CLAassistant commented May 3, 2018

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@danielmwatkins
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Thanks for catching that!

@dopplershift
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Hmm...test failure due to lack of dewpoint_depression field. Is that only available sometimes?

@swnesbitt
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swnesbitt commented May 4, 2018

All the humidity data is reported in dewpoint depression. This error only arises if there is a valid temperature and invalid dewpoint_depression observation at a level. I'm working with data from South America and this happens sometimes.

@dopplershift
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Hmmm...is there any way to keep it from erring out in that case?

@swnesbitt
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swnesbitt commented May 4, 2018 via email

@dopplershift
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Let me clarify. With your changes, we are currently seeing an error in the tests:

            axis = self._get_axis_number(axis)
            agg_axis = 1 - axis
    
            agg_obj = self
            if subset is not None:
                ax = self._get_axis(agg_axis)
                indices = ax.get_indexer_for(subset)
                check = indices == -1
                if check.any():
>                   raise KeyError(list(np.compress(check, subset)))
E                   KeyError: ['dewpoint_depression']
../../../virtualenv/python3.6.3/lib/python3.6/site-packages/pandas/core/frame.py:3489: KeyError

So while maybe in theory your change shouldn't cause any errors, in practice it's causing an error for:

df, header = IGRAUpperAir.request_data(datetime(2014, 9, 10, 0),                           
                                            'USM00070026', derived=True)

@danielmwatkins
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danielmwatkins commented May 4, 2018

The problem here is that this fix is only relevant to the derived=False case. When derived=True, the retrieved file will never have a dewpoint depression column. Instead it will have relative humidity. This is why the code as is has reported_relative_humidity in the QC step.

 df = df.dropna(subset=('temperature', 'reported_relative_humidity',
                        'u_wind', 'v_wind'), how='all').reset_index(drop=True)

So just take the change out of the `if self.suffix == '-drvd.txt' section, and leave the change in the 'else' section, and it should pass the tests.

@jrleeman
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jrleeman commented Jul 5, 2018

Thanks @DanielWatkins and @swnesbitt - I just fixed this up a bit and rebased. Assuming that tests pass, we're good to go here.

@dopplershift dopplershift added this to the 0.8 milestone Jul 9, 2018
@dopplershift dopplershift merged commit 20c017a into Unidata:master Jul 9, 2018
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5 participants