Metar doesn't parse correctly

[ManojAgrawal]

What went wrong?

Metar

DEN
1/24/17 16:00
KDEN 241600Z 02010KT 1/16SM R35L/1000V1200FT FZFG VV001 M01/M02 A2954 RMK AO2 SFC VIS M1/4 T10111022

isn't parsed correctly. output dataframe (pasted below) doesn't have visibility, weather condition 'FZFG' and has a cloud coverage of 10

station_id | latitude | longitude | elevation | date_time | wind_direction | wind_speed | wind_gust | visibility | current_wx1 | current_wx2 | current_wx3 | low_cloud_type | low_cloud_level | medium_cloud_type | medium_cloud_level | high_cloud_type | high_cloud_level | highest_cloud_type | highest_cloud_level | cloud_coverage
-- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | --

KDEN | 39.85 | -104.65 | 1640 | 2022-11-24 16:00:00 | 20 | 10.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 10

Operating System

MacOS

Version

1.3

Python Version

3.9.12

Code to Reproduce

from metpy import io

df = io.parse_metar_to_dataframe('KDEN 241600Z 02010KT 1/16SM R35L/1000V1200FT FZFG VV001 M01/M02 A2954 RMK AO2 SFC VIS M1/4 T10111022')

df.head()

Errors, Traceback, and Logs

No response

[dopplershift]

I'm 99% sure the problem here is the visibility group, which is 1/16SM.

Now looking over the Federal Meteorological Handbook 1, I now see that 1/16SM (as well as 3/16 and 5/16) are valid visibility codes for manual stations. We can update the parser to accommodate that.

[ManojAgrawal]

Thanks Ryan!

[dopplershift]

As I thought, easy fix. This will be fixed in the impending 1.4 release.

[ManojAgrawal]

Thanks Ryan! When can we expect the new release?

[dopplershift]

We're trying for it before the end of the month (in two days). The only thing that's really holding it up is #2743.

If you really want the changes, you can always install metpy from git:
pip install git+https://github.com/Unidata/MetPy@main#egg=metpy

[ManojAgrawal]

cool, thanks