Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5531-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-5531-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Lidar temperature series in the middle atmosphere as a reference data set – Part 1: Improved retrievals and a 20-year cross-validation of two co-located French lidars
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Alain Hauchecorne
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Philippe Keckhut
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Sophie Godin-Beekmann
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Sergey Khaykin
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Emily M. McCullough
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada
Jean-François Mariscal
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
Éric d'Almeida
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France
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Cited
17 citations as recorded by crossref.
- Lidar temperature series in the middle atmosphere as a reference data set – Part 2: Assessment of temperature observations from MLS/Aura and SABER/TIMED satellites R. Wing et al. 10.5194/amt-11-6703-2018
- A powerful lidar system capable of 1 h measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere L. Klanner et al. 10.5194/amt-14-531-2021
- Observed Temperature Changes in the Troposphere and Stratosphere from 1979 to 2018 A. Steiner et al. 10.1175/JCLI-D-19-0998.1
- Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods C. Strube et al. 10.5194/amt-13-4927-2020
- Co‐Located Wind and Temperature Observations at Mid‐Latitudes During Mesospheric Inversion Layer Events A. Mariaccia et al. 10.1029/2022GL102683
- Classification of lidar measurements using supervised and unsupervised machine learning methods G. Farhani et al. 10.5194/amt-14-391-2021
- Updated Climatology of Mesospheric Temperature Inversions Detected by Rayleigh Lidar above Observatoire de Haute Provence, France, Using a K-Mean Clustering Technique M. Ardalan et al. 10.3390/atmos13050814
- Limb Temperature Observations in the Stratosphere and Mesosphere Derived from the OMPS Sensor P. Da Costa Louro et al. 10.3390/rs16203878
- A new MesosphEO data set of temperature profiles from 35 to 85 km using Rayleigh scattering at limb from GOMOS/ENVISAT daytime observations A. Hauchecorne et al. 10.5194/amt-12-749-2019
- Assessment of ERA-5 Temperature Variability in the Middle Atmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020 A. Mariaccia et al. 10.3390/atmos13020242
- Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne G. Martucci et al. 10.5194/amt-14-1333-2021
- Intercomparison and evaluation of ground- and satellite-based stratospheric ozone and temperature profiles above Observatoire de Haute-Provence during the Lidar Validation NDACC Experiment (LAVANDE) R. Wing et al. 10.5194/amt-13-5621-2020
- Gravity Wave Breaking Associated with Mesospheric Inversion Layers as Measured by the Ship-Borne BEM Monge Lidar and ICON-MIGHTI R. Wing et al. 10.3390/atmos12111386
- Increase in the Aerosol Backscattering Ratio in the Lower Mesosphere in 2019–2021 and Its Effect on Temperature Measurements with the Rayleigh Method V. Korshunov & D. Zubachev 10.1134/S102485602204008X
- Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect W. Krochin et al. 10.5194/amt-15-2231-2022
- Doppler lidar at Observatoire de Haute-Provence for wind profiling up to 75 km altitude: performance evaluation and observations S. Khaykin et al. 10.5194/amt-13-1501-2020
- Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns R. Wing et al. 10.5194/amt-14-3773-2021
17 citations as recorded by crossref.
- Lidar temperature series in the middle atmosphere as a reference data set – Part 2: Assessment of temperature observations from MLS/Aura and SABER/TIMED satellites R. Wing et al. 10.5194/amt-11-6703-2018
- A powerful lidar system capable of 1 h measurements of water vapour in the troposphere and the lower stratosphere as well as the temperature in the upper stratosphere and mesosphere L. Klanner et al. 10.5194/amt-14-531-2021
- Observed Temperature Changes in the Troposphere and Stratosphere from 1979 to 2018 A. Steiner et al. 10.1175/JCLI-D-19-0998.1
- Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods C. Strube et al. 10.5194/amt-13-4927-2020
- Co‐Located Wind and Temperature Observations at Mid‐Latitudes During Mesospheric Inversion Layer Events A. Mariaccia et al. 10.1029/2022GL102683
- Classification of lidar measurements using supervised and unsupervised machine learning methods G. Farhani et al. 10.5194/amt-14-391-2021
- Updated Climatology of Mesospheric Temperature Inversions Detected by Rayleigh Lidar above Observatoire de Haute Provence, France, Using a K-Mean Clustering Technique M. Ardalan et al. 10.3390/atmos13050814
- Limb Temperature Observations in the Stratosphere and Mesosphere Derived from the OMPS Sensor P. Da Costa Louro et al. 10.3390/rs16203878
- A new MesosphEO data set of temperature profiles from 35 to 85 km using Rayleigh scattering at limb from GOMOS/ENVISAT daytime observations A. Hauchecorne et al. 10.5194/amt-12-749-2019
- Assessment of ERA-5 Temperature Variability in the Middle Atmosphere Using Rayleigh LiDAR Measurements between 2005 and 2020 A. Mariaccia et al. 10.3390/atmos13020242
- Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne G. Martucci et al. 10.5194/amt-14-1333-2021
- Intercomparison and evaluation of ground- and satellite-based stratospheric ozone and temperature profiles above Observatoire de Haute-Provence during the Lidar Validation NDACC Experiment (LAVANDE) R. Wing et al. 10.5194/amt-13-5621-2020
- Gravity Wave Breaking Associated with Mesospheric Inversion Layers as Measured by the Ship-Borne BEM Monge Lidar and ICON-MIGHTI R. Wing et al. 10.3390/atmos12111386
- Increase in the Aerosol Backscattering Ratio in the Lower Mesosphere in 2019–2021 and Its Effect on Temperature Measurements with the Rayleigh Method V. Korshunov & D. Zubachev 10.1134/S102485602204008X
- Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect W. Krochin et al. 10.5194/amt-15-2231-2022
- Doppler lidar at Observatoire de Haute-Provence for wind profiling up to 75 km altitude: performance evaluation and observations S. Khaykin et al. 10.5194/amt-13-1501-2020
- Evaluation of the new DWD ozone and temperature lidar during the Hohenpeißenberg Ozone Profiling Study (HOPS) and comparison of results with previous NDACC campaigns R. Wing et al. 10.5194/amt-14-3773-2021
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
The objective of this work is to minimize the errors at the highest altitudes of a lidar temperature profile which arise due to background estimation and a priori choice. The systematic method in this paper has the effect of cooling the temperatures at the top of a lidar profile by up to 20 K – bringing them into better agreement with satellite temperatures. Following the description of the algorithm is a 20-year cross-validation of two lidars which establishes the stability of the technique.
The objective of this work is to minimize the errors at the highest altitudes of a lidar...