Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
AMT | Articles | Volume 11, issue 11
Atmos. Meas. Tech., 11, 6043-6058, 2018
https://doi.org/10.5194/amt-11-6043-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 6043-6058, 2018
https://doi.org/10.5194/amt-11-6043-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.
Related authors  
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
A generalized simulation capability for rotating- beam scatterometers
Zhen Li, Ad Stoffelen, and Anton Verhoef
Atmos. Meas. Tech., 12, 3573-3594, https://doi.org/10.5194/amt-12-3573-2019,https://doi.org/10.5194/amt-12-3573-2019, 2019
Short summary
Automated wind turbine wake characterization in complex terrain
Rebecca J. Barthelmie and Sara C. Pryor
Atmos. Meas. Tech., 12, 3463-3484, https://doi.org/10.5194/amt-12-3463-2019,https://doi.org/10.5194/amt-12-3463-2019, 2019
Short summary
Polarimetric radar characteristics of lightning initiation and propagating channels
Jordi Figueras i Ventura, Nicolau Pineda, Nikola Besic, Jacopo Grazioli, Alessandro Hering, Oscar A. van der Velde, David Romero, Antonio Sunjerga, Amirhossein Mostajabi, Mohammad Azadifar, Marcos Rubinstein, Joan Montanyà, Urs Germann, and Farhad Rachidi
Atmos. Meas. Tech., 12, 2881-2911, https://doi.org/10.5194/amt-12-2881-2019,https://doi.org/10.5194/amt-12-2881-2019, 2019
Short summary
Processing and quality control of FY-3C GNOS data used in numerical weather prediction applications
Mi Liao, Sean Healy, and Peng Zhang
Atmos. Meas. Tech., 12, 2679-2692, https://doi.org/10.5194/amt-12-2679-2019,https://doi.org/10.5194/amt-12-2679-2019, 2019
Short summary
Neural network radiative transfer for imaging spectroscopy
Brian D. Bue, David R. Thompson, Shubhankar Deshpande, Michael Eastwood, Robert O. Green, Vijay Natraj, Terry Mullen, and Mario Parente
Atmos. Meas. Tech., 12, 2567-2578, https://doi.org/10.5194/amt-12-2567-2019,https://doi.org/10.5194/amt-12-2567-2019, 2019
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
Publications Copernicus
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.
We use 16 years of lidar (laser radar) temperature measurements of the middle atmosphere to form...
Citation