Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-6043-2018
https://doi.org/10.5194/amt-11-6043-2018
Research article
 | 
08 Nov 2018
Research article |  | 08 Nov 2018

Improvements to a long-term Rayleigh-scatter lidar temperature climatology by using an optimal estimation method

Ali Jalali, Robert J. Sica, and Alexander Haefele

Related authors

A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian high-Arctic ground-based NDACC and TCCON FTIR measurements
Ali Jalali, Kaley A. Walker, Kimberly Strong, Rebecca R. Buchholz, Merritt N. Deeter, Debra Wunch, Sébastien Roche, Tyler Wizenberg, Erik Lutsch, Erin McGee, Helen M. Worden, Pierre Fogal, and James R. Drummond
Atmos. Meas. Tech., 15, 6837–6863, https://doi.org/10.5194/amt-15-6837-2022,https://doi.org/10.5194/amt-15-6837-2022, 2022
Short summary
A practical information-centered technique to remove a priori information from lidar optimal-estimation-method retrievals
Ali Jalali, Shannon Hicks-Jalali, Robert J. Sica, Alexander Haefele, and Thomas von Clarmann
Atmos. Meas. Tech., 12, 3943–3961, https://doi.org/10.5194/amt-12-3943-2019,https://doi.org/10.5194/amt-12-3943-2019, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Combining commercial microwave links and weather radar for classification of dry snow and rainfall
Erlend Øydvin, Renaud Gaban, Jafet Andersson, Remco (C. Z.) van de Beek, Mareile Astrid Wolff, Nils-Otto Kitterød, Christian Chwala, and Vegard Nilsen
Atmos. Meas. Tech., 18, 2279–2293, https://doi.org/10.5194/amt-18-2279-2025,https://doi.org/10.5194/amt-18-2279-2025, 2025
Short summary
Improved consistency in solar-induced fluorescence retrievals from GOME-2A with the SIFTER v3 algorithm
Juliëtte C. S. Anema, K. Folkert Boersma, Lieuwe G. Tilstra, Olaf N. E. Tuinder, and Willem W. Verstraeten
Atmos. Meas. Tech., 18, 1961–1979, https://doi.org/10.5194/amt-18-1961-2025,https://doi.org/10.5194/amt-18-1961-2025, 2025
Short summary
An information content approach to diagnosing and improving CLIMCAPS retrieval consistency across instruments and satellites
Nadia Smith and Christopher D. Barnet
Atmos. Meas. Tech., 18, 1823–1839, https://doi.org/10.5194/amt-18-1823-2025,https://doi.org/10.5194/amt-18-1823-2025, 2025
Short summary
Characterizing urban planetary boundary layer dynamics using 3-year Doppler wind lidar measurements in a western Yangtze River Delta city, China
Tianwen Wei, Mengya Wang, Kenan Wu, Jinlong Yuan, Haiyun Xia, and Simone Lolli
Atmos. Meas. Tech., 18, 1841–1857, https://doi.org/10.5194/amt-18-1841-2025,https://doi.org/10.5194/amt-18-1841-2025, 2025
Short summary
Radar-based high-resolution ensemble precipitation analyses over the French Alps
Matthieu Vernay, Matthieu Lafaysse, and Clotilde Augros
Atmos. Meas. Tech., 18, 1731–1755, https://doi.org/10.5194/amt-18-1731-2025,https://doi.org/10.5194/amt-18-1731-2025, 2025
Short summary

Cited articles

Argall, P. S. and Sica, R. J.: A comparison of Rayleigh and sodium lidar temperature climatologies, Ann. Geophys., 25, 27–35, https://doi.org/10.5194/angeo-25-27-2007, 2007. a, b, c
Argall, P. S., Vassiliev, O. N., Sica, R. J., and Mwangi, M. M.: Lidar measurements taken with a large-aperture liquid mirror: 2. The Sodium resonance-fluorescence system, Appl. Optics, 39, 2393–2399, 2000. a
Arnold, K. S. and She, C. Y.: Metal fluorescence lidar (light detection and ranging) and the middle atmosphere, Contemp. Phys., 44, 35–49, 2003. a
Bills, R. E., Gardner, C. S., and She, C. Y.: Narrow band lidar technique for sodium temperature and Doppler wind observations of the upper atmosphere, Opt. Eng., 30, 13–21, 1991. a
Fleming, E. L., Chandra, S., Shoeberl, M. R., and Barnett, J. J.: Monthly Mean Global Climatology of Temperature, Wind, Geopotential Height and Pressure for 0–120 km, NASA Tech. Memo., NASA TM100697, 85 pp., 1988. a, b
Download
Short summary
We use 16 years of lidar (laser radar) temperature measurements of the middle atmosphere to form a climatology for use in studying atmospheric temperature change using an optimal estimation method (OEM). Using OEM allows us to calculate a complete systematic and random uncertainty budget and allows for an additional 10–15 km in altitude for the measurement to be used, improving our ability to detect atmospheric temperature change up to 100 km of altitude.
Share