Preprints
https://doi.org/10.5194/amt-2021-132
https://doi.org/10.5194/amt-2021-132

  29 Jul 2021

29 Jul 2021

Review status: a revised version of this preprint is currently under review for the journal AMT.

Mitigation of bias sources for atmospheric temperature and humidity in the mobile Weather & Aerosol Raman Lidar (WALI)

Julien Totems, Patrick Chazette, and Alexandre Baron Julien Totems et al.
  • Laboratoire des Sciences du Climat et de l’Environnement, CEA, Gif-sur-Yvette, France

Abstract. Lidars using vibrational and rotational Raman scattering to continuously monitor both the water vapor and temperature profiles in the low and middle troposphere offer enticing perspectives for applications in weather prediction and studies of aerosol/cloud/water vapor interactions by deriving simultaneously relative humidity and atmospheric optical properties. Several heavy systems exist in European laboratories but only recently have they been downsized and ruggedized for deployment in the field. In this paper, we describe in detail the technical choices made during the design and calibration of the new Raman channels for the mobile Weather and Aerosol Lidar (WALI), going over the important sources of bias and uncertainty on the water vapor & temperature profiles stemming from the different optical elements of the instrument. For the first time, the impacts of interference filters and non-common-path differences between Raman channels, and their mitigation, are particularly investigated, using horizontal shots in a homogenous atmosphere. For temperature, the magnitude of the highlighted biases can be much larger than the targeted absolute accuracy of 1 °C defined by the WMO. Measurement errors are quantified using simulations and a number of radiosoundings launched close to the laboratory.

Julien Totems 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-2021-132', Anonymous Referee #2, 27 Aug 2021
    • AC1: 'Reply on RC1', Julien Totems, 15 Oct 2021
    • AC2: 'Reply on RC1 (continuing)', Julien Totems, 15 Oct 2021
  • RC2: 'Comment on amt-2021-132', Anonymous Referee #1, 06 Sep 2021
    • AC3: 'Reply on RC2', Julien Totems, 15 Oct 2021

Julien Totems et al.

Julien Totems et al.

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Short summary
We describe in detail the design and calibration of the new Raman channels for the WALI lidar system, going over the important sources of bias and uncertainty on retrieved temperature profiles. For the first time their impact is investigated using horizontal shots in a homogenous atmosphere: the magnitude of the highlighted biases can be much larger than the targeted absolute accuracy of 1 °C. Actual measurement errors are quantified using radiosoundings launched close to the lidar site.