- Volumes 84-95 (2024)
-
Volumes 72-83 (2023)
-
Volume 83
Pages 1-258 (December 2023)
-
Volume 82
Pages 1-204 (November 2023)
-
Volume 81
Pages 1-188 (October 2023)
-
Volume 80
Pages 1-202 (September 2023)
-
Volume 79
Pages 1-172 (August 2023)
-
Volume 78
Pages 1-146 (July 2023)
-
Volume 77
Pages 1-152 (June 2023)
-
Volume 76
Pages 1-176 (May 2023)
-
Volume 75
Pages 1-228 (April 2023)
-
Volume 74
Pages 1-200 (March 2023)
-
Volume 73
Pages 1-138 (February 2023)
-
Volume 72
Pages 1-144 (January 2023)
-
Volume 83
-
Volumes 60-71 (2022)
-
Volume 71
Pages 1-108 (December 2022)
-
Volume 70
Pages 1-106 (November 2022)
-
Volume 69
Pages 1-122 (October 2022)
-
Volume 68
Pages 1-124 (September 2022)
-
Volume 67
Pages 1-102 (August 2022)
-
Volume 66
Pages 1-112 (July 2022)
-
Volume 65
Pages 1-138 (June 2022)
-
Volume 64
Pages 1-186 (May 2022)
-
Volume 63
Pages 1-124 (April 2022)
-
Volume 62
Pages 1-104 (March 2022)
-
Volume 61
Pages 1-120 (February 2022)
-
Volume 60
Pages 1-124 (January 2022)
-
Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• Correlations of lidar ratios and Ångström exponents of atmospheric aerosols were evaluated.
• Their Pearson correlation coefficients were found to be larger than 0.95.
• Lidar ratio and Ångström exponent of continental aerosol were correlated with a cubic polynomial.
• Lidar ratios were linearly correlated with Ångström exponents for maritime and desert aerosols.
Lidar ratios and Ångström exponents of continental, maritime, and desert aerosols were calculated to evaluate the effects of aerosol composition on these parameters. Their correlation was assessed using correlation analysis and curve fitting. The Pearson correlation coefficient between the lidar ratio and the Ångström exponent was larger than 0.95 in all cases. We verified the reliability of the Pearson correlation coefficient using the significance test. The relationship between the lidar ratio and the Ångström exponent of continental aerosol can be described by a cubic polynomial model; thus, the function relation between the change in lidar ratios at different laser wavelengths depends on the fitting coefficients and the Ångström exponent. The relationship between the lidar ratio and the Ångström exponent of both maritime and desert aerosols can be described by a linear model. In these aerosols, the linear change in lidar ratios at different laser wavelengths remains unaffected by the Ångström exponent. The changes in the lidar ratio in maritime aerosol at 355 nm and 532 nm are −0.7 times and −0.18 times that at 1064 nm, respectively. For desert aerosol, the changes in the lidar ratio at 355 nm and 532 nm are 0.37 times and 1.88 times that at 1064 nm, respectively.