Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 17
Articles | Volume 16, issue 17
https://doi.org/10.5194/amt-16-4101-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-4101-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 17
Research article
 | 
11 Sep 2023
Research article |  | 11 Sep 2023

Retrieval of temperature and humidity profiles from ground-based high-resolution infrared observations using an adaptive fast iterative algorithm

Wei Huang, Lei Liu, Bin Yang, Shuai Hu, Wanying Yang, Zhenfeng Li, Wantong Li, and Xiaofan Yang

Related authors

Numerical Simulation of a Severe Blowing Snow Event over the Prydz Bay Region
Jinfeng Ding, Yuan Shang, Yulong Shan, Jinkai Ma, Jin Ye, Xichuan Liu, Lei Liu, and Xiaoqiao Wang
EGUsphere, https://doi.org/10.5194/egusphere-2025-2718,https://doi.org/10.5194/egusphere-2025-2718, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Vertical profiles of raindrop size distribution parameters of summer rainfall in the eastern Tibetan Plateau: retrieval method and characteristics
Pingyi Dong, Xingwen Jiang, Xingbing Zhao, Yuanchang Dong, Jiafeng Zheng, Chun Hu, Guolu Gao, Lei Liu, Shulei Li, and Lingbing Bu
EGUsphere, https://doi.org/10.5194/egusphere-2025-2523,https://doi.org/10.5194/egusphere-2025-2523, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
An introduction of the Three-Dimensional Precipitation Particle Imager (3D-PPI)
Jiayi Shi, Xichuan Liu, Lei Liu, Liying Liu, and Peng Wang
Atmos. Meas. Tech., 18, 2261–2278, https://doi.org/10.5194/amt-18-2261-2025,https://doi.org/10.5194/amt-18-2261-2025, 2025
Short summary
IMPMCT: a dataset of Integrated Multi-source Polar Meso-Cyclone Tracks
Runzhuo Fang, Jinfeng Ding, Wenjuan Gao, Xi Liang, Zhuoqi Chen, Chuanfeng Zhao, Haijin Dai, and Lei Liu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-186,https://doi.org/10.5194/essd-2025-186, 2025
Preprint under review for ESSD
Short summary
Retrieval of terahertz ice cloud properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models
Ming Li, Husi Letu, Hiroshi Ishimoto, Shulei Li, Lei Liu, Takashi Y. Nakajima, Dabin Ji, Huazhe Shang, and Chong Shi
Atmos. Meas. Tech., 16, 331–353, https://doi.org/10.5194/amt-16-331-2023,https://doi.org/10.5194/amt-16-331-2023, 2023
Short summary

Cited articles

Bakushinskii, A. B.: The problem of the convergence of the iteratively regularized Gauss–Newton method, Comp. Math. Math. Phys.+, 32, 1503–1509, 1992. 
Barrera-Verdejo, M., Crewell, S., Löhnert, U., Orlandi, E., and Di Girolamo, P.: Ground-based lidar and microwave radiometry synergy for high vertical resolution absolute humidity profiling, Atmos. Meas. Tech., 9, 4013–4028, https://doi.org/10.5194/amt-9-4013-2016, 2016. 
Barthlott, S., Schneider, M., Hase, F., Blumenstock, T., Kiel, M., Dubravica, D., García, O. E., Sepúlveda, E., Mengistu Tsidu, G., Takele Kenea, S., Grutter, M., Plaza-Medina, E. F., Stremme, W., Strong, K., Weaver, D., Palm, M., Warneke, T., Notholt, J., Mahieu, E., Servais, C., Jones, N., Griffith, D. W. T., Smale, D., and Robinson, J.: Tropospheric water vapour isotopologue data (H216O, H218O, and HD16O) as obtained from NDACC/FTIR solar absorption spectra, Earth Syst. Sci. Data, 9, 15–29, https://doi.org/10.5194/essd-9-15-2017, 2017. 
Blumberg, W., Wagner, T., Turner, D., and Correia Jr., J.: Quantifying the accuracy and uncertainty of diurnal thermodynamic profiles and convection indices derived from the Atmospheric Emitted Radiance Interferometer, J. Appl. Meteorol. Clim., 56, 2747–2766, https://doi.org/10.1175/JAMC-D-17-0036.1, 2017. 
Blumberg, W. G., Turner, D. D., Löhnert, U., and Castleberry, S.: Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part II: Actual Retrieval Performance in Clear-Sky and Cloudy Conditions, J. Appl. Meteorol. Clim., 54, 2305–2319, https://doi.org/10.1175/jamc-d-15-0005.1, 2015. 
More articles (38)
Download
Short summary
To improve the retrieval speed of the AERI optimal estimation (AERIoe) method, a fast-retrieval algorithm named Fast AERIoe is proposed on the basis of the findings that the change in Jacobians during the retrieval process had little effect on the performance of AERIoe. The results of the experiment show that the retrieved profiles from Fast AERIoe are comparable to those of AERIoe and that the retrieval speed is significantly improved, with the average retrieval time reduced by 59 %.
Read more
Share