Evaluation and application of multi-decadal visibility data for trend  analysis of atmospheric haze

Li, Chi; Martin, Randall V.; Boys, Brian L.; van Donkelaar, Aaron; Ruzzante, Sacha

doi:10.5194/acp-16-2435-2016

Articles | Volume 16, issue 4

https://doi.org/10.5194/acp-16-2435-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-2435-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 4

Research article

|

01 Mar 2016

Research article |

| 01 Mar 2016

Evaluation and application of multi-decadal visibility data for trend analysis of atmospheric haze

Chi Li, Randall V. Martin, Brian L. Boys, Aaron van Donkelaar, and Sacha Ruzzante

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Views and downloads (calculated since 01 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	161	126	13	300
Jan 2016	65	23	4	92
Feb 2016	50	15	1	66
Mar 2016	184	96	4	284
Apr 2016	27	16	0	43
May 2016	23	16	0	39
Jun 2016	18	13	1	32
Jul 2016	11	5	2	18
Aug 2016	16	11	1	28
Sep 2016	18	12	1	31
Oct 2016	14	7	1	22
Nov 2016	12	12	0	24
Dec 2016	6	5	0	11
Jan 2017	21	8	1	30
Feb 2017	19	16	1	36
Mar 2017	28	16	1	45
Apr 2017	37	29	1	67
May 2017	35	23	1	59
Jun 2017	34	7	1	42
Jul 2017	28	17	0	45
Aug 2017	17	29	1	47
Sep 2017	11	27	1	39
Oct 2017	21	25	0	46
Nov 2017	16	29	0	45
Dec 2017	15	30	0	45
Jan 2018	10	29	0	39
Feb 2018	21	29	1	51
Mar 2018	21	25	0	46
Apr 2018	13	14	0	27
May 2018	21	25	0	46
Jun 2018	13	21	0	34
Jul 2018	12	14	0	26
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Oct 2018	21	29	3	53
Nov 2018	14	22	3	39
Dec 2018	11	7	0	18
Jan 2019	6	10	1	17
Feb 2019	4	3	0	7
Mar 2019	9	13	0	22
Apr 2019	5	8	0	13
May 2019	9	14	0	23
Jun 2019	10	19	0	29
Jul 2019	18	13	0	31
Aug 2019	7	16	1	24
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Nov 2019	11	14	1	26
Dec 2019	10	13	0	23
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Feb 2020	12	6	0	18
Mar 2020	4	4	0	8
Apr 2020	5	5	0	10
May 2020	9	8	0	17
Jun 2020	20	6	0	26
Jul 2020	25	12	7	44
Aug 2020	9	11	2	22
Sep 2020	17	3	1	21
Oct 2020	5	6	0	11
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Jan 2021	23	11	1	35
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Mar 2021	7	5	0	12
Apr 2021	14	12	0	26
May 2021	4	8	1	13
Jun 2021	8	9	2	19
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Aug 2021	9	13	0	22
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Oct 2021	8	29	0	37
Nov 2021	9	23	0	32
Dec 2021	17	13	1	31
Jan 2022	11	13	0	24
Feb 2022	9	7	1	17
Mar 2022	11	12	0	23
Apr 2022	14	8	1	23
May 2022	8	5	1	14
Jun 2022	16	8	0	24
Jul 2022	3	8	1	12
Aug 2022	15	7	1	23
Sep 2022	4	8	1	13
Oct 2022	6	6	0	12
Nov 2022	13	8	2	23
Dec 2022	8	3	0	11
Jan 2023	16	10	2	28
Feb 2023	17	11	0	28
Mar 2023	15	7	0	22
Apr 2023	10	3	0	13
May 2023	38	8	0	46
Jun 2023	39	4	0	43
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Aug 2023	43	8	2	53
Sep 2023	59	6	2	67
Oct 2023	81	3	1	85
Nov 2023	51	3	3	57
Dec 2023	45	3	3	51
Jan 2024	35	4	0	39
Feb 2024	37	9	1	47
Mar 2024	42	10	1	53
Apr 2024	47	14	6	67
May 2024	17	10	4	31
Jun 2024	14	6	3	23
Jul 2024	16	8	3	27
Aug 2024	48	34	2	84
Sep 2024	7	2	0	9
Oct 2024	19	10	0	29
Nov 2024	14	10	2	26
Dec 2024	15	10	3	28
Jan 2025	27	11	2	40
Feb 2025	28	17	3	48
Mar 2025	18	12	1	31
Apr 2025	15	19	0	34
May 2025	26	12	1	39
Jun 2025	49	16	7	72
Jul 2025	17	21	1	39
Aug 2025	39	11	1	51
Sep 2025	31	14	3	48
Oct 2025	22	29	0	51
Nov 2025	22	21	1	44

Cumulative views and downloads (calculated since 01 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	161	126	13	300
Jan 2016	65	23	4	92
Feb 2016	50	15	1	66
Mar 2016	184	96	4	284
Apr 2016	27	16	0	43
May 2016	23	16	0	39
Jun 2016	18	13	1	32
Jul 2016	11	5	2	18
Aug 2016	16	11	1	28
Sep 2016	18	12	1	31
Oct 2016	14	7	1	22
Nov 2016	12	12	0	24
Dec 2016	6	5	0	11
Jan 2017	21	8	1	30
Feb 2017	19	16	1	36
Mar 2017	28	16	1	45
Apr 2017	37	29	1	67
May 2017	35	23	1	59
Jun 2017	34	7	1	42
Jul 2017	28	17	0	45
Aug 2017	17	29	1	47
Sep 2017	11	27	1	39
Oct 2017	21	25	0	46
Nov 2017	16	29	0	45
Dec 2017	15	30	0	45
Jan 2018	10	29	0	39
Feb 2018	21	29	1	51
Mar 2018	21	25	0	46
Apr 2018	13	14	0	27
May 2018	21	25	0	46
Jun 2018	13	21	0	34
Jul 2018	12	14	0	26
Aug 2018	11	22	0	33
Sep 2018	23	19	1	43
Oct 2018	21	29	3	53
Nov 2018	14	22	3	39
Dec 2018	11	7	0	18
Jan 2019	6	10	1	17
Feb 2019	4	3	0	7
Mar 2019	9	13	0	22
Apr 2019	5	8	0	13
May 2019	9	14	0	23
Jun 2019	10	19	0	29
Jul 2019	18	13	0	31
Aug 2019	7	16	1	24
Sep 2019	9	14	0	23
Oct 2019	11	14	3	28
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Dec 2019	10	13	0	23
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Feb 2020	12	6	0	18
Mar 2020	4	4	0	8
Apr 2020	5	5	0	10
May 2020	9	8	0	17
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Aug 2020	9	11	2	22
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Oct 2020	5	6	0	11
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Jan 2021	23	11	1	35
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Mar 2021	7	5	0	12
Apr 2021	14	12	0	26
May 2021	4	8	1	13
Jun 2021	8	9	2	19
Jul 2021	10	13	3	26
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Nov 2021	9	23	0	32
Dec 2021	17	13	1	31
Jan 2022	11	13	0	24
Feb 2022	9	7	1	17
Mar 2022	11	12	0	23
Apr 2022	14	8	1	23
May 2022	8	5	1	14
Jun 2022	16	8	0	24
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Aug 2022	15	7	1	23
Sep 2022	4	8	1	13
Oct 2022	6	6	0	12
Nov 2022	13	8	2	23
Dec 2022	8	3	0	11
Jan 2023	16	10	2	28
Feb 2023	17	11	0	28
Mar 2023	15	7	0	22
Apr 2023	10	3	0	13
May 2023	38	8	0	46
Jun 2023	39	4	0	43
Jul 2023	46	10	2	58
Aug 2023	43	8	2	53
Sep 2023	59	6	2	67
Oct 2023	81	3	1	85
Nov 2023	51	3	3	57
Dec 2023	45	3	3	51
Jan 2024	35	4	0	39
Feb 2024	37	9	1	47
Mar 2024	42	10	1	53
Apr 2024	47	14	6	67
May 2024	17	10	4	31
Jun 2024	14	6	3	23
Jul 2024	16	8	3	27
Aug 2024	48	34	2	84
Sep 2024	7	2	0	9
Oct 2024	19	10	0	29
Nov 2024	14	10	2	26
Dec 2024	15	10	3	28
Jan 2025	27	11	2	40
Feb 2025	28	17	3	48
Mar 2025	18	12	1	31
Apr 2025	15	19	0	34
May 2025	26	12	1	39
Jun 2025	49	16	7	72
Jul 2025	17	21	1	39
Aug 2025	39	11	1	51
Sep 2025	31	14	3	48
Oct 2025	22	29	0	51
Nov 2025	22	21	1	44

Latest update: 21 Nov 2025

Short summary

We comprehensively screen and process global hourly visibility data to construct a more reliable monthly inverse visibility (1/Vis) data set, and to infer trends in atmospheric haze. Consistency is found for the inferred 1/Vis seasonality and trends with other collocated in situ aerosol measurements over the US and Europe. Trends of 1/Vis over 1945–1996 for the eastern US, and over 1973–2013 for Europe and eastern Asia are significantly associated with the variation of SO2 emission.