the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar
Abstract. Raman lidars are an important tool for measuring important atmospheric parameters including water vapor content and temperature in the troposphere and stratosphere. These measurements enable climatology studies and trend analyses to be performed. To detect long-term trends it is critical to have as reliable and continuous as possible calibration of the system and monitoring of its associated uncertainties. Here we demonstrate a new methodology to derive calibration coefficients for a rotational temperature Raman lidar. We use solar background measurements taken by the rotational Raman channels of the Raman Lidar for Meteorological Observations (RALMO) located at the Federal Office of Meteorology and Climatology MeteoSwiss in Payerne, Switzerland, to calculate a relative calibration as a function of time, which is made an absolute calibration by requiring only a single external calibration, in our case with a single radiosonde flight. This approach was verified using an external time series of coincident radiosonde measurements. We employed the calibration technique on historical measurements that used a Licel data acquisition system and established a calibration time series spanning from 2011 to 2015 using both the radiosonde-based external and solar background-based internal methods. Our results show that using the background calibration technique reduces the mean bias of the calibration by an average of 0.2 K across the altitude range of 1 to 16 km compared to using the local radiosoundings. Furthermore, it demonstrates the background calibration’s ability to adjust and maintain continuous calibration values even amidst sudden system changes in the system, which sporadic external calibration could miss. This approach ensures that climatological averages and trends remain unaffected by the drift effects commonly associated with using daily operational radiosondes. It also allows a lidar not co-located with a routine external source to be continuously calibrated once an initial external calibration is done.
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Status: final response (author comments only)
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RC1: 'Comment on egusphere-2024-1081', David Whiteman, 14 Jun 2024
- AC1: 'Reply on RC1', Robert Sica, 11 Nov 2024
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RC2: 'Comment on egusphere-2024-1081', Anonymous Referee #2, 10 Jul 2024
Solar Background Radiation Temperature Calibration of a Pure Rotational Raman Lidar
Vasura Jayaweera, Robert J. Sica, Giovanni Martucci, and Alexander Haefele
https://doi.org/10.5194/egusphere-2024-1081 Preprint. Discussion started: 7 May 2024
General comments
This paper addresses a nice and useful subject. It is interesting because the method presented can be used in lidars that use the pure rotational Raman lidar technique for temperature profiling. However, I find that the paper is poorly structured, which makes it a nuisance to read, and therefore obscures the essence of the material offered.
Therefore, I should like to keep this review very short, as I recommend the authors to basically re-write the paper.
A number of comments to be taken into account:
- There is no general description of the RALMO lidar. The paper should al least have a simple but adequate schematic of which channels are used and how these channels come about. An accompanying table listing the instrument specifications should also be added.
- The system constants in Eq. 1 require a bit more introduction. The lidar equation for PRR temperature should be introduced first.
- ‘GRUAN’, not ‘GRAUN’
- In contrast to the ack of an overall system overview, the Licel (digitisation system) is mentioned a couple of times, without explaining what it is. Is it the Analog/photon counting combination that is referred to or merely the digitised signals?
- A number of references to in-depth descriptions of the Raman lidar technique for water vapour and temperature lidar, including error analysis are missing. E.g.
- David N. Whiteman, "Examination of the traditional Raman lidar technique. I. Evaluating the temperature-dependent lidar equations," Appl. Opt. 42, 2571-2592 (2003).
- Leblanc, T., Sica, R. J., van Gijsel, J. A. E., Haefele, A., Payen, G., and Liberti, G.: Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 3: Temperature uncertainty budget, Atmos. Meas. Tech., 9, 4079–4101, https://doi.org/10.5194/amt-9-4079-2016, 2016.
- I recommend restructiring the manuscript to first clearly describe the methods used to retrieve the temperature profiles.
- In the results section an optimal estimation method appears out of the blue. The term OEM is not explained.
- Also a description of the GRUAN sonde products is needed. Was the uncertainty information in the GRUAN profiles used?
- Please add some clarifying labels to Figure 1 to guide the reader. E.g. where is t0? What happens sometime in 2012 (make reference to the text) and also just before 2013?
- I believe that the continuous background method can be used to monitor sudden changes in instrument behaviour by following the value of the calibration constant. However, an external source is always needed for an absolute calibration. Therefore, the accuracy is always limited by the accuray and uncertainty of the external reference and, in this case the uncertainties of the lidar. This needs to be further elaborated.
Citation: https://doi.org/10.5194/egusphere-2024-1081-RC2 - AC2: 'Reply on RC2', Robert Sica, 11 Nov 2024
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EC1: 'Comment on egusphere-2024-1081', Robin Wing, 10 Jul 2024
Dear Vasura Jayaweera,
In addition to the changes requested by the two reviewers, I would request a line or two be added somewhere to acknowledge that the stability of the RR temperatures can also depend on the laser stability. If the laser line drifts around by a few picometres due to temperature changes in the laser, then you could see a change in the retrieved RR temperatures up to a Kelvin.
The optimal solution on the transmitter side is external seeding and a laser pulse spectrometer to measure the offset between the seed laser and the output of the power laser.
Kind regards,
RobinCitation: https://doi.org/10.5194/egusphere-2024-1081-EC1 - AC3: 'Reply on EC1', Robert Sica, 11 Nov 2024
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