Articles | Volume 16, issue 24
https://doi.org/10.5194/amt-16-6051-2023
https://doi.org/10.5194/amt-16-6051-2023
Research article
 | 
19 Dec 2023
Research article |  | 19 Dec 2023

Aerosol retrieval over snow using the RemoTAP algorithm

Zihan Zhang, Guangliang Fu, and Otto Hasekamp

Related authors

Global validation of the Particulate Observing Scanning Polarimeter (POSP) Aerosol Optical Depth products over land
Zhe Ji, Zhengqiang Li, Gerrit de Leeuw, Zihan Zhang, Yan Ma, Zheng Shi, Cheng Fan, and Qiao Yao
EGUsphere, https://doi.org/10.5194/egusphere-2025-91,https://doi.org/10.5194/egusphere-2025-91, 2025
Short summary
ADVANCES IN OPTICAL POLARIZATION REMOTE SENSING FOR MARINE OBSERVATION: A CASE STUDY IN NANCHANG RIVER PARK
F. Zhang, Z. Zhang, L. Yan, J. Ding, K. Jiang, Y. Zhang, and Z. Cui
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 101–106, https://doi.org/10.5194/isprs-annals-V-3-2022-101-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-101-2022, 2022

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation
Martin de Graaf, Maarten Sneep, Mark ter Linden, L. Gijsbert Tilstra, David P. Donovan, Gerd-Jan van Zadelhoff, and J. Pepijn Veefkind
Atmos. Meas. Tech., 18, 2553–2571, https://doi.org/10.5194/amt-18-2553-2025,https://doi.org/10.5194/amt-18-2553-2025, 2025
Short summary
Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements
Michael D. Himes, Ghassan Taha, Daniel Kahn, Tong Zhu, and Natalya A. Kramarova
Atmos. Meas. Tech., 18, 2523–2536, https://doi.org/10.5194/amt-18-2523-2025,https://doi.org/10.5194/amt-18-2523-2025, 2025
Short summary
Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS)
Sang Seo Park, Jhoon Kim, Yeseul Cho, Hanlim Lee, Junsung Park, Dong-Won Lee, Won-Jin Lee, and Deok-Rae Kim
Atmos. Meas. Tech., 18, 2241–2259, https://doi.org/10.5194/amt-18-2241-2025,https://doi.org/10.5194/amt-18-2241-2025, 2025
Short summary
ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel
Fanqian Meng, Junwu Tang, Guangyao Dai, Wenrui Long, Kangwen Sun, Zhiyu Zhang, Xiaoquan Song, Jiqiao Liu, Weibiao Chen, and Songhua Wu
Atmos. Meas. Tech., 18, 2021–2039, https://doi.org/10.5194/amt-18-2021-2025,https://doi.org/10.5194/amt-18-2021-2025, 2025
Short summary
Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis
Ulrike Stöffelmair, Thomas Popp, Marco Vountas, and Hartmut Bösch
Atmos. Meas. Tech., 18, 2005–2020, https://doi.org/10.5194/amt-18-2005-2025,https://doi.org/10.5194/amt-18-2005-2025, 2025
Short summary

Cited articles

D'Almeida, G. A., Koepke, P., and Shettle, E. P.: Atmospheric aerosols: global climatology and radiative characteristics, A Deepak Pub, 561, 22763033, 1991. 
Deuzé, J. L., Goloub, P., Herman, M., Marchand, A., Perry, G., Susana, S., and Tanré, D.: Estimate of the aerosol properties over the ocean with POLDER, J. Geophys. Res.-Atmos., 105, 15329–15346, https://doi.org/10.1029/2000JD900148, 2000. 
Dubovik, O., Herman, M., Holdak, A., Lapyonok, T., Tanré, D., Deuzé, J. L., Ducos, F., Sinyuk, A., and Lopatin, A.: Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations, Atmos. Meas. Tech., 4, 975–1018, https://doi.org/10.5194/amt-4-975-2011, 2011. 
Download
Short summary
In order to conduct accurate aerosol retrieval over snow, the Remote Sensing of Trace Gases and Aerosol Products (RemoTAP) algorithm is extended with a bi-directional reflection distribution function for snow surfaces. The experiments with both synthetic and real data show that the extended RemoTAP maintains capability for snow-free pixels and has obvious advantages in accuracy and the fraction of successful retrievals for retrieval over snow, especially over surfaces with snow cover > 75 %.
Share