Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme
haze events over northern China in October 2014

Chen, Dan; Liu, Zhiquan; Fast, Jerome; Ban, Junmei

doi:10.5194/acp-16-10707-2016

Articles | Volume 16, issue 16

https://doi.org/10.5194/acp-16-10707-2016

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

https://doi.org/10.5194/acp-16-10707-2016

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

Articles | Volume 16, issue 16

Research article

|

30 Aug 2016

Research article |

| 30 Aug 2016

Simulations of sulfate–nitrate–ammonium (SNA) aerosols during the extreme haze events over northern China in October 2014

Dan Chen, Zhiquan Liu, Jerome Fast, and Junmei Ban

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Aug 2016	83	33	2	118
Sep 2016	92	38	2	132
Oct 2016	36	25	1	62
Nov 2016	20	17	0	37
Dec 2016	18	11	0	29
Jan 2017	30	25	1	56
Feb 2017	18	21	2	41
Mar 2017	31	30	3	64
Apr 2017	24	22	0	46
May 2017	31	20	2	53
Jun 2017	29	20	3	52
Jul 2017	22	16	0	38
Aug 2017	14	21	0	35
Sep 2017	18	22	2	42
Oct 2017	21	24	1	46
Nov 2017	11	15	0	26
Dec 2017	13	13	0	26
Jan 2018	16	26	1	43
Feb 2018	12	15	0	27
Mar 2018	17	26	0	43
Apr 2018	16	21	1	38
May 2018	24	29	1	54
Jun 2018	6	27	1	34
Jul 2018	12	15	1	28
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Sep 2018	22	18	1	41
Oct 2018	26	22	1	49
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Dec 2018	18	16	1	35
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Feb 2019	13	8	1	22
Mar 2019	8	20	0	28
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May 2019	17	22	0	39
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Aug 2019	13	14	0	27
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Oct 2019	9	13	1	23
Nov 2019	14	17	0	31
Dec 2019	12	24	0	36
Jan 2020	10	6	0	16
Feb 2020	11	8	0	19
Mar 2020	5	7	1	13
Apr 2020	11	8	0	19
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Nov 2020	9	6	1	16
Dec 2020	10	13	0	23
Jan 2021	20	12	0	32
Feb 2021	10	16	0	26
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Apr 2021	20	24	0	44
May 2021	83	23	3	109
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Jul 2021	24	16	0	40
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Nov 2021	25	31	1	57
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Jan 2022	26	21	3	50
Feb 2022	16	28	1	45
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Apr 2022	27	15	2	44
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Jan 2023	19	20	1	40
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Mar 2023	30	21	0	51
Apr 2023	24	15	0	39
May 2023	44	10	0	54
Jun 2023	59	11	2	72
Jul 2023	61	7	2	70
Aug 2023	53	13	3	69
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Nov 2023	33	4	0	37
Dec 2023	54	14	3	71
Jan 2024	53	11	1	65
Feb 2024	132	25	0	157
Mar 2024	76	23	1	100
Apr 2024	63	22	2	87
May 2024	36	12	5	53
Jun 2024	48	15	1	64
Jul 2024	44	15	4	63
Aug 2024	32	11	1	44
Sep 2024	27	8	0	35
Oct 2024	30	12	0	42
Nov 2024	29	7	4	40
Dec 2024	29	15	0	44
Jan 2025	25	22	1	48
Feb 2025	34	13	6	53
Mar 2025	19	12	0	31
Apr 2025	42	19	4	65
May 2025	41	16	1	58
Jun 2025	72	30	3	105
Jul 2025	63	11	2	76
Aug 2025	65	33	1	99
Sep 2025	69	39	1	109
Oct 2025	30	27	0	57
Nov 2025	28	7	1	36

Cumulative views and downloads (calculated since 04 Apr 2016)

Month	HTML	PDF	XML	Total
Apr 2016	177	82	0	259
May 2016	38	11	0	49
Jun 2016	23	8	3	34
Jul 2016	16	9	1	26
Aug 2016	83	33	2	118
Sep 2016	92	38	2	132
Oct 2016	36	25	1	62
Nov 2016	20	17	0	37
Dec 2016	18	11	0	29
Jan 2017	30	25	1	56
Feb 2017	18	21	2	41
Mar 2017	31	30	3	64
Apr 2017	24	22	0	46
May 2017	31	20	2	53
Jun 2017	29	20	3	52
Jul 2017	22	16	0	38
Aug 2017	14	21	0	35
Sep 2017	18	22	2	42
Oct 2017	21	24	1	46
Nov 2017	11	15	0	26
Dec 2017	13	13	0	26
Jan 2018	16	26	1	43
Feb 2018	12	15	0	27
Mar 2018	17	26	0	43
Apr 2018	16	21	1	38
May 2018	24	29	1	54
Jun 2018	6	27	1	34
Jul 2018	12	15	1	28
Aug 2018	17	19	0	36
Sep 2018	22	18	1	41
Oct 2018	26	22	1	49
Nov 2018	30	29	1	60
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Apr 2019	18	19	0	37
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Jan 2021	20	12	0	32
Feb 2021	10	16	0	26
Mar 2021	30	27	0	57
Apr 2021	20	24	0	44
May 2021	83	23	3	109
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Jul 2021	24	16	0	40
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Nov 2022	17	8	0	25
Dec 2022	21	19	1	41
Jan 2023	19	20	1	40
Feb 2023	22	14	1	37
Mar 2023	30	21	0	51
Apr 2023	24	15	0	39
May 2023	44	10	0	54
Jun 2023	59	11	2	72
Jul 2023	61	7	2	70
Aug 2023	53	13	3	69
Sep 2023	67	11	1	79
Oct 2023	61	10	2	73
Nov 2023	33	4	0	37
Dec 2023	54	14	3	71
Jan 2024	53	11	1	65
Feb 2024	132	25	0	157
Mar 2024	76	23	1	100
Apr 2024	63	22	2	87
May 2024	36	12	5	53
Jun 2024	48	15	1	64
Jul 2024	44	15	4	63
Aug 2024	32	11	1	44
Sep 2024	27	8	0	35
Oct 2024	30	12	0	42
Nov 2024	29	7	4	40
Dec 2024	29	15	0	44
Jan 2025	25	22	1	48
Feb 2025	34	13	6	53
Mar 2025	19	12	0	31
Apr 2025	42	19	4	65
May 2025	41	16	1	58
Jun 2025	72	30	3	105
Jul 2025	63	11	2	76
Aug 2025	65	33	1	99
Sep 2025	69	39	1	109
Oct 2025	30	27	0	57
Nov 2025	28	7	1	36

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Short summary

Extreme haze events occurred frequently over China recently, and adequately predicting peak PM_2.5 concentrations is still challenging. In this study, the sulfate–nitrate–ammonium relevant heterogeneous reactions were parameterized for the first time in the WRF-Chem model. We evaluated the performance of WRF-Chem and used the model to investigate the sensitivity of heterogeneous reactions on simulated peak sulfate, nitrate, and ammonium concentrations in the vicinity of Beijing during October 2014.