Preprints
https://doi.org/10.5194/amt-2021-344
https://doi.org/10.5194/amt-2021-344

  10 Dec 2021

10 Dec 2021

Review status: this preprint is currently under review for the journal AMT.

Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect

Witali Krochin1, Francisco Navas-Guzmán2,3, David Kuhl4, Axel Murk1, and Gunter Stober1 Witali Krochin et al.
  • 1University of Bern & Oeschger Center for Climate Change Research, Bern
  • 2University of Granada, Andalusian Institute for Earth System Research, Granada, Spain
  • 3Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, 1530, Switzerland
  • 4Naval Research Laboratory, Washington DC, USA

Abstract. Continuous temperature observations at the stratosphere and lower mesosphere are rare. Radiometry opens the possibility by observing microwave emissions from two oxygen lines to retrieve temperature profiles at all altitudes. In this study, we present observations performed with a temperature radiometer (TEMPERA) at the Meteoswiss station at Payerne for the period from 2014 to 2017. We reanalyzed these observations with a recently developed and improved retrieval algorithm accounting for the Zeeman line splitting in the line center of both oxygen emission lines at 52.5424 and 53.0669 GHz. The new temperature retrievals were validated against MERRA2 reanalysis and the meteorological analysis NAVGEM-HA. The comparison confirmed that the new algorithm yields an increased measurement response up to an altitude of 53–55 km, which extends the altitude coverage by 8–10 km compared to previous retrievals without considering the Zeeman effect. Furthermore, we found correlation coefficients comparing the TEMPERA temperatures with MERRA2 and NAVGEM-HA for monthly mean profiles to be in the range of 0.8–0.96. In addition, mean temperature biases of 1 K and −2 K were found between TEMPERA and both models (MERRA2 and NAVGEM-HA), respectively. We also identified systematic altitude-dependent cold and warm biases compared to both model data sets.

Witali Krochin et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-344', Anonymous Referee #1, 21 Dec 2021
  • RC2: 'Comment on amt-2021-344', Anonymous Referee #2, 15 Jan 2022

Witali Krochin et al.

Witali Krochin et al.

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Short summary
This study leverages atmospheric temperature measurements performed with a ground-based radiometer making use of data that was collected during a four year observational campaign applying a new retrieval algorithm which improves the maximal altitude range from 45 km to 55 km. The measurements are validated against two independent data sets, MERRA2 reanalysis data and the meteorological analysis of NAVGEM-HA.