Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
ACP | Articles | Volume 19, issue 12
Atmos. Chem. Phys., 19, 8243–8268, 2019
https://doi.org/10.5194/acp-19-8243-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 8243–8268, 2019
https://doi.org/10.5194/acp-19-8243-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 26 Jun 2019

Research article | 26 Jun 2019

Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China

Ning Liu et al.

Related authors

Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring
Shan Xu, Bin Zou, Yan Lin, Xiuge Zhao, Shenxin Li, and Chenxia Hu
Atmos. Meas. Tech., 12, 2933–2948, https://doi.org/10.5194/amt-12-2933-2019,https://doi.org/10.5194/amt-12-2933-2019, 2019
Short summary
SATELLITE-BASED CHINA’S PM2.5 POLLUTION AND ASSOCIATED PREMATURE MORTALITY MEASUREMENT OVER PAST TWO DECADES
S. Li, B. Zou, J. You, X. Fang, X. Zhao, and X. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W5, 39–45, https://doi.org/10.5194/isprs-archives-XLII-3-W5-39-2018,https://doi.org/10.5194/isprs-archives-XLII-3-W5-39-2018, 2018
Graphics algorithm for deriving atmospheric boundary layer heights from CALIPSO data
Boming Liu, Yingying Ma, Jiqiao Liu, Wei Gong, Wei Wang, and Ming Zhang
Atmos. Meas. Tech., 11, 5075–5085, https://doi.org/10.5194/amt-11-5075-2018,https://doi.org/10.5194/amt-11-5075-2018, 2018

Related subject area

Subject: Aerosols | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Optical properties of Central Asian aerosol relevant for spaceborne lidar applications and aerosol typing at 355 and 532 nm
Julian Hofer, Albert Ansmann, Dietrich Althausen, Ronny Engelmann, Holger Baars, Khanneh Wadinga Fomba, Ulla Wandinger, Sabur F. Abdullaev, and Abduvosit N. Makhmudov
Atmos. Chem. Phys., 20, 9265–9280, https://doi.org/10.5194/acp-20-9265-2020,https://doi.org/10.5194/acp-20-9265-2020, 2020
Short summary
Optical and geometrical aerosol particle properties over the United Arab Emirates
Maria Filioglou, Elina Giannakaki, John Backman, Jutta Kesti, Anne Hirsikko, Ronny Engelmann, Ewan O'Connor, Jari T. T. Leskinen, Xiaoxia Shang, Hannele Korhonen, Heikki Lihavainen, Sami Romakkaniemi, and Mika Komppula
Atmos. Chem. Phys., 20, 8909–8922, https://doi.org/10.5194/acp-20-8909-2020,https://doi.org/10.5194/acp-20-8909-2020, 2020
Short summary
Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution
Haofei Wang, Zhengqiang Li, Yang Lv, Ying Zhang, Hua Xu, Jianping Guo, and Philippe Goloub
Atmos. Chem. Phys., 20, 8839–8854, https://doi.org/10.5194/acp-20-8839-2020,https://doi.org/10.5194/acp-20-8839-2020, 2020
Short summary
Site representativity of AERONET and GAW remotely sensed aerosol optical thickness and absorbing aerosol optical thickness observations
Nick A. J. Schutgens
Atmos. Chem. Phys., 20, 7473–7488, https://doi.org/10.5194/acp-20-7473-2020,https://doi.org/10.5194/acp-20-7473-2020, 2020
Short summary
Reducing uncertainties in satellite estimates of aerosol–cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations
David Painemal, Fu-Lung Chang, Richard Ferrare, Sharon Burton, Zhujun Li, William L. Smith Jr., Patrick Minnis, Yan Feng, and Marian Clayton
Atmos. Chem. Phys., 20, 7167–7177, https://doi.org/10.5194/acp-20-7167-2020,https://doi.org/10.5194/acp-20-7167-2020, 2020
Short summary

Cited articles

Ångström, A.: On the Atmospheric Transmission of Sun Radiation and on Dust in the Air, Geogr. Ann., 12, 130–159, https://doi.org/10.1080/20014422.1929.11880498, 1929. 
Beijing Digital View Technology Co., Ltd.: Geographical Information Monitoring Cloud Platform, available at: http://www.dsac.cn/, last access: 28 May 2019. 
Bi, J., Shi, J., Xie, Y., and Liu, Y.: Dust Aerosol Characteristics and Shortwave Radiative Impact at a Gobi Desert of Northwest China during the Spring of 2012, J. Meteorol. Soc. Jpn., 92, 33–56, https://doi.org/10.2151/jmsj.2014-A03, 2014. 
Cesnulyte, V., Lindfors, A. V., Pitkänen, M. R. A., Lehtinen, K. E. J., Morcrette, J.-J., and Arola, A.: Comparing ECMWF AOD with AERONET observations at visible and UV wavelengths, Atmos. Chem. Phys., 14, 593–608, https://doi.org/10.5194/acp-14-593-2014, 2014. 
Che, H., Shi, G., Uchiyama, A., Yamazaki, A., Chen, H., Goloub, P., and Zhang, X.: Intercomparison between aerosol optical properties by a PREDE skyradiometer and CIMEL sunphotometer over Beijing, China, Atmos. Chem. Phys., 8, 3199–3214, https://doi.org/10.5194/acp-8-3199-2008, 2008. 
Publications Copernicus
Download
Short summary
The systematic validation and comparison of MAIAC, DT, and DB AOD products across China from 2000 to 2017 is presented. In this process, the overall accuracy, land type dependence, view geometry dependence, spatiotemporal retrieval accuracy, spatial variation pattern, and spatiotemporal completeness of the three products are analyzed in detail. In general, MAIAC achieves higher accuracy than DT and DB, but DT and DB may perform better than MAIAC under some specific land cover types or seasons.
The systematic validation and comparison of MAIAC, DT, and DB AOD products across China from...
Citation
Altmetrics
Final-revised paper
Preprint