Calibration routine for ground-based passive microwave radiometer: a user guide

Sauvageat, Eric (2021). Calibration routine for ground-based passive microwave radiometer: a user guide (Research Report 2021-01-MW). Bern: University of Bern, Institute of Applied Physics

Text calibration_UG_GROMORA.pdf - Published Version Restricted to registered users only Available under License BORIS Standard License. Download (6MB) | Request a copy

This document contains a description of the new calibration and integration routine de-
signed in the frame of the GROMORA project. This is a joint project between the
Institute of Applied Physics at the University of Berne and the Federal Office of Meteo-
rology and Climatology MeteoSwiss in Payerne which aims at a complete harmonization
of the data processing of GROMOS and SOMORA, two passive ground-based microwave
radiometers monitoring ozone in the middle-atmosphere. This document focus on the
First part of the processing, namely the calibration and integration of the raw data.
It should support new user of the calibration routine by describing the concept of the
routine, the main functions and the underlying choices and methods applied for the cali-
bration of passive microwave radiometers. It could also help to include new instruments
within the same calibration framework.
As the GROMORA project is still ongoing, this document does only focus on the general
principles and ideas of the calibration routine and more specifically on the release version
1.0. All details of the processing are to be found in an evolutive technical documentation
which is located on the Git server of the Institute of Applied Physics. It should ensure
that most of this report remains up-to-date even if the routine is improved further. It is
therefore recommended to check the technical documentation for the latest improvements.
The complete reprocessing of the raw data from these two instruments will be the subject
of a future report and is not presented here. This future work will also contains a thorough
identification of suspicious calibrated data periods for both instruments. In practice, it
is also important to keep in mind that the reprocessing will most likely aspect the routine
itself, for instance by pointing out some programming errors or by pushing for some
important improvements.

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