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GEUS-Glaciology-and-Climate / pypromice

Process AWS data from L0 (raw logger) through Lx (end user)
https://pypromice.readthedocs.io
GNU General Public License v2.0
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skip NAU and CP1 #80

Closed patrickjwright closed 1 year ago

patrickjwright commented 1 year ago

Instantaneous pressure recently went bad on these stations. Pressure is a key variable for DMI/WMO. Need to skip these stations for now.

patrickjwright commented 1 year ago

Issues created: https://github.com/GEUS-Glaciology-and-Climate/PROMICE-AWS-data-issues/issues/20 https://github.com/GEUS-Glaciology-and-Climate/PROMICE-AWS-data-issues/issues/21

patrickjwright commented 1 year ago

We could put additional code in wmo_config.py to skip specific variables for specific stations.... then when we go to set variables in the BUFR, we check the config. Maybe down the road we can do this.... for now, if a key variable like this is bad, we just need to skip the entire station unfortunately.

PennyHow commented 1 year ago

I like this idea with a config for skipping suspect variables in BUFR. Maybe the flagging of suspect data could be automated, or at least automated flagging with manual verification.