Literature DB >> 18324146

Ozone differential absorption lidar algorithm intercomparison.

S Godin1, A I Carswell, D P Donovan, H Claude, W Steinbrecht, I S McDermid, T J McGee, M R Gross, H Nakane, D P Swart, H B Bergwerff, O Uchino, P von der Gathen, R Neuber.   

Abstract

An intercomparison of ozone differential absorption lidar algorithms was performed in 1996 within the framework of the Network for the Detection of Stratospheric Changes (NDSC) lidar working group. The objective of this research was mainly to test the differentiating techniques used by the various lidar teams involved in the NDSC for the calculation of the ozone number density from the lidar signals. The exercise consisted of processing synthetic lidar signals computed from simple Rayleigh scattering and three initial ozone profiles. Two of these profiles contained perturbations in the low and the high stratosphere to test the vertical resolution of the various algorithms. For the unperturbed profiles the results of the simulations show the correct behavior of the lidar processing methods in the low and the middle stratosphere with biases of less than 1% with respect to the initial profile to as high as 30 km in most cases. In the upper stratosphere, significant biases reaching 10% at 45 km for most of the algorithms are obtained. This bias is due to the decrease in the signal-to-noise ratio with altitude, which makes it necessary to increase the number of points of the derivative low-pass filter used for data processing. As a consequence the response of the various retrieval algorithms to perturbations in the ozone profile is much better in the lower stratosphere than in the higher range. These results show the necessity of limiting the vertical smoothing in the ozone lidar retrieval algorithm and questions the ability of current lidar systems to detect long-term ozone trends above 40 km. Otherwise the simulations show in general a correct estimation of the ozone profile random error and, as shown by the tests involving the perturbed ozone profiles, some inconsistency in the estimation of the vertical resolution among the lidar teams involved in this experiment.

Entities:  

Year:  1999        PMID: 18324146     DOI: 10.1364/ao.38.006225

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Ground-based assessment of the bias and long-term stability of fourteen limb and occultation ozone profile data records.

Authors:  D Hubert; J-C Lambert; T Verhoelst; J Granville; A Keppens; J-L Baray; U Cortesi; D A Degenstein; L Froidevaux; S Godin-Beekmann; K W Hoppel; E Kyrölä; T Leblanc; G Lichtenberg; C T McElroy; D Murtagh; H Nakane; R Querel; J M Russell; J Salvador; H G J Smit; K Stebel; W Steinbrecht; K B Strawbridge; R Stübi; D P J Swart; G Taha; A M Thompson; J Urban; J A E van Gijsel; P von der Gathen; K A Walker; E Wolfram; J M Zawodny
Journal:  Atmos Meas Tech       Date:  2016-06-08       Impact factor: 4.176

2.  Quantifying TOLNet Ozone Lidar Accuracy during the 2014 DISCOVER-AQ and FRAPPÉ Campaigns.

Authors:  Lihua Wang; Michael J Newchurch; Raul J Alvarez; Timothy A Berkoff; Steven S Brown; William Carrion; Russell J De Young; Bryan J Johnson; Rene Ganoe; Guillaume Gronoff; Guillaume Kirgis; Shi Kuang; Andrew O Langford; Thierry Leblanc; Erin E McDuffie; Thomas J McGee; Denis Pliutau; Christoph J Senff; John T Sullivan; Grant Sumnicht; Laurence W Twigg; Andrew J Weinheimer
Journal:  Atmos Meas Tech       Date:  2017-10-23       Impact factor: 4.176

  2 in total

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