innosat-mats / MATS-L1-processing

Python code for calibrating MATS images
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Variables missing in L1b #110

Closed bjornlindr closed 1 year ago

bjornlindr commented 1 year ago

Retrieving L1b data the following variables are missing compared to when you run calibrations locally (see: https://github.com/innosat-mats/MATS-L1-processing/issues/106#issuecomment-1418714171)

Some of these are missing cause they have removed the spaces (or changed name?) For example, you get GAINmode instead of GAIN mode. Some variables however seem to be missing, I have indicated at least some of these. Any other that should come through?

File EXP Nanoseconds WDW Mode WDW InputDataWindow NCBIN FPGAColumns NCBIN CCDColumns GAIN Mode GAIN Timing GAIN Truncation BC ImageFileName ImageData Warnings Errors IMAGE channel flipped id temperature_ADC temperature temperature_HTR CCDunit image_calibrated

image_calibrated comes out named ImageCalibrated

OleMartinChristensen commented 1 year ago

Its unfortunately a bit of a chaos. But for the future all data coming out of l1a processing should not have spaces. And then I think we need to sit down and figure out what variables we want included in the l1b data.

donal-mur commented 1 year ago

For Andreas We had a meeting on Friday and agreed the following In addition to the new variables defined in 1 of 4 tasks Lat/Lon for track Variables missing in L1b

We would like the following variable to follow along from l1a

channel, flipped, Temperature, we noted that some had got new names eg errors became calibrationerror. but we can live with that :-)

skymandr commented 1 year ago

channel, flipped, Temperature,

Does this refer to an attribute called Temperature or to one or all of temperature, temperature_ADC and/or temperature_HTR?

donal-mur commented 1 year ago

I think they mean the one in ccditem['Temperature']

donal-mur commented 1 year ago

I think they mean the one in ccditem['Temperature']

skymandr commented 1 year ago

I think they mean the one in ccditem['Temperature']

As far as I can tell there is no such item.