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 9
Atmos. Meas. Tech., 11, 5075–5085, 2018
https://doi.org/10.5194/amt-11-5075-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 5075–5085, 2018
https://doi.org/10.5194/amt-11-5075-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Sep 2018

Research article | 07 Sep 2018

Graphics algorithm for deriving atmospheric boundary layer heights from CALIPSO data

Boming Liu et al.
Related authors  
Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China
Ning Liu, Bin Zou, Huihui Feng, Wei Wang, Yuqi Tang, and Yu Liang
Atmos. Chem. Phys., 19, 8243–8268, https://doi.org/10.5194/acp-19-8243-2019,https://doi.org/10.5194/acp-19-8243-2019, 2019
Short summary
DIFFERENCES IN AEROSOL OPTICAL PROPERTIES AND CORRESPONDING RADIATIVE EFFECTS OF HAZE EVENTS BETWEEN SUMMER AND WINTER IN A MEGA-CITY OF CENTRAL CHINA
S. Jin, Y. Ma, Y. Jin, Y. Guan, and M. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W5, 25–31, https://doi.org/10.5194/isprs-archives-XLII-3-W5-25-2018,https://doi.org/10.5194/isprs-archives-XLII-3-W5-25-2018, 2018
Related subject area  
Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data
Robert Reichert, Bernd Kaifler, Natalie Kaifler, Markus Rapp, Pierre-Dominique Pautet, Michael J. Taylor, Alexander Kozlovsky, Mark Lester, and Rigel Kivi
Atmos. Meas. Tech., 12, 5997–6015, https://doi.org/10.5194/amt-12-5997-2019,https://doi.org/10.5194/amt-12-5997-2019, 2019
Short summary
Determination of ice water content (IWC) in tropical convective clouds from X-band dual-polarization airborne radar
Cuong M. Nguyen, Mengistu Wolde, and Alexei Korolev
Atmos. Meas. Tech., 12, 5897–5911, https://doi.org/10.5194/amt-12-5897-2019,https://doi.org/10.5194/amt-12-5897-2019, 2019
Short summary
Retrieval of temperature from a multiple channel pure rotational Raman backscatter lidar using an optimal estimation method
Shayamila Mahagammulla Gamage, Robert J. Sica, Giovanni Martucci, and Alexander Haefele
Atmos. Meas. Tech., 12, 5801–5816, https://doi.org/10.5194/amt-12-5801-2019,https://doi.org/10.5194/amt-12-5801-2019, 2019
Short summary
Combined use of volume radar observations and high-resolution numerical weather predictions to estimate precipitation at the ground: methodology and proof of concept
Tony Le Bastard, Olivier Caumont, Nicolas Gaussiat, and Fatima Karbou
Atmos. Meas. Tech., 12, 5669–5684, https://doi.org/10.5194/amt-12-5669-2019,https://doi.org/10.5194/amt-12-5669-2019, 2019
Short summary
A Gaussian mixture method for specific differential phase retrieval at X-band frequency
Guang Wen, Neil I. Fox, and Patrick S. Market
Atmos. Meas. Tech., 12, 5613–5637, https://doi.org/10.5194/amt-12-5613-2019,https://doi.org/10.5194/amt-12-5613-2019, 2019
Short summary
Cited articles  
Bonin, T., Chilson, P., Zielke, B., and Fedorovich, E.: Observations of the early evening boundary-layer transition using a small unmanned aerial system, Bound.-Lay. Meteorol., 146, 119–132, 2013. 
Brooks, I. M.: Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles, J. Atmos. Ocean. Tech., 20, 1092–1105, 2003. 
Davis, K. J., Gamage, N., Hagelberg, C. R., Kiemle, C., Lenschow, D. H., and Sullivan, P. P.: An Objective Method for Deriving Atmospheric Structure from Airborne Lidar Observations, J. Atmos. Ocean. Tech., 17, 1455–1468, 2000. 
Flamant, C., Pelon, J., and Flamant, P.: Lidar determination of the entrainment zone thickness at the top of the unstable marine atmospheric boundary layer, Bound.-Lay. Meteorol., 83, 247–284, 1997. 
Guo, J., Miao, Y., Zhang, Y., Liu, H., Li, Z., Zhang, W., He, J., Lou, M., Yan, Y., Bian, L., and Zhai, P.: The climatology of planetary boundary layer height in China derived from radiosonde and reanalysis data, Atmos. Chem. Phys., 16, 13309–13319, https://doi.org/10.5194/acp-16-13309-2016, 2016a. 
Publications Copernicus
Download
Citation