Limitations of ozone data assimilation with adjustment of NOx emissions: mixed effects on NO2 forecasts over Beijing and surrounding areas

Tang, Xiao; Zhu, Jiang; Wang, ZiFa; Gbaguidi, Alex; Lin, CaiYan; Xin, JinYuan; Song, Tao; Hu, Bo

doi:10.5194/acp-16-6395-2016

Articles | Volume 16, issue 10

https://doi.org/10.5194/acp-16-6395-2016

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

https://doi.org/10.5194/acp-16-6395-2016

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

Articles | Volume 16, issue 10

Research article

|

25 May 2016

Research article |

| 25 May 2016

Limitations of ozone data assimilation with adjustment of NO_x emissions: mixed effects on NO₂ forecasts over Beijing and surrounding areas

Xiao Tang, Jiang Zhu, ZiFa Wang, Alex Gbaguidi, CaiYan Lin, JinYuan Xin, Tao Song, and Bo Hu

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Views and downloads (calculated since 18 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	54	63	4	121
Jan 2016	72	57	4	133
Feb 2016	39	37	1	77
Mar 2016	21	38	0	59
Apr 2016	33	25	0	58
May 2016	218	94	3	315
Jun 2016	28	20	1	49
Jul 2016	15	4	3	22
Aug 2016	10	9	0	19
Sep 2016	23	14	0	37
Oct 2016	9	0	9
Nov 2016	9	17	0	26
Dec 2016	5	4	0	9
Jan 2017	19	6	1	26
Feb 2017	14	3	2	19
Mar 2017	22	14	1	37
Apr 2017	28	15	0	43
May 2017	31	18	0	49
Jun 2017	34	11	3	48
Jul 2017	20	8	0	28
Aug 2017	21	17	0	38
Sep 2017	13	8	1	22
Oct 2017	9	9	0	18
Nov 2017	12	10	0	22
Dec 2017	15	12	0	27
Jan 2018	8	11	0	19
Feb 2018	9	5	0	14
Mar 2018	12	14	0	26
Apr 2018	8	5	1	14
May 2018	11	12	0	23
Jun 2018	6	4	0	10
Jul 2018	13	9	0	22
Aug 2018	15	4	0	19
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Oct 2018	15	10	3	28
Nov 2018	16	8	0	24
Dec 2018	10	2	0	12
Jan 2019	5	4	3	12
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Mar 2019	5	5	0	10
Apr 2019	6	3	0	9
May 2019	5	9	0	14
Jun 2019	13	9	0	22
Jul 2019	12	5	0	17
Aug 2019	6	6	0	12
Sep 2019	4	1	0	5
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Feb 2020	19	10	1	30
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Apr 2020	9	4	0	13
May 2020	13	6	1	20
Jun 2020	22	4	0	26
Jul 2020	25	11	9	45
Aug 2020	7	9	2	18
Sep 2020	13	7	1	21
Oct 2020	11	15	0	26
Nov 2020	9	12	1	22
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Jan 2021	25	12	3	40
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Apr 2021	8	10	0	18
May 2021	11	13	2	26
Jun 2021	13	12	0	25
Jul 2021	10	10	0	20
Aug 2021	6	10	0	16
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Nov 2021	19	30	1	50
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Jan 2022	22	13	1	36
Feb 2022	13	6	1	20
Mar 2022	19	12	0	31
Apr 2022	13	9	0	22
May 2022	14	9	0	23
Jun 2022	13	3	2	18
Jul 2022	11	10	0	21
Aug 2022	23	16	3	42
Sep 2022	31	43	0	74
Oct 2022	12	2	2	16
Nov 2022	17	5	0	22
Dec 2022	10	4	0	14
Jan 2023	12	11	0	23
Feb 2023	13	7	0	20
Mar 2023	31	8	0	39
Apr 2023	5	8	0	13
May 2023	29	9	0	38
Jun 2023	40	3	1	44
Jul 2023	39	11	1	51
Aug 2023	35	6	2	43
Sep 2023	42	9	0	51
Oct 2023	38	5	2	45
Nov 2023	26	0	26
Dec 2023	50	11	3	64
Jan 2024	43	6	1	50
Feb 2024	43	6	0	49
Mar 2024	45	13	2	60
Apr 2024	40	13	5	58
May 2024	18	10	5	33
Jun 2024	17	6	2	25
Jul 2024	13	7	2	22
Aug 2024	32	8	2	42
Sep 2024	12	2	0	14
Oct 2024	19	5	1	25
Nov 2024	16	8	4	28
Dec 2024	14	10	1	25
Jan 2025	13	9	5	27
Feb 2025	31	13	4	48
Mar 2025	24	7	4	35
Apr 2025	22	15	2	39
May 2025	28	6	6	40
Jun 2025	49	9	2	60
Jul 2025	26	17	2	45
Aug 2025	27	13	0	40
Sep 2025	51	12	2	65
Oct 2025	18	28	2	48
Nov 2025	31	20	6	57
Dec 2025	4	5	0	9

Cumulative views and downloads (calculated since 18 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	54	63	4	121
Jan 2016	72	57	4	133
Feb 2016	39	37	1	77
Mar 2016	21	38	0	59
Apr 2016	33	25	0	58
May 2016	218	94	3	315
Jun 2016	28	20	1	49
Jul 2016	15	4	3	22
Aug 2016	10	9	0	19
Sep 2016	23	14	0	37
Oct 2016	9	0	9
Nov 2016	9	17	0	26
Dec 2016	5	4	0	9
Jan 2017	19	6	1	26
Feb 2017	14	3	2	19
Mar 2017	22	14	1	37
Apr 2017	28	15	0	43
May 2017	31	18	0	49
Jun 2017	34	11	3	48
Jul 2017	20	8	0	28
Aug 2017	21	17	0	38
Sep 2017	13	8	1	22
Oct 2017	9	9	0	18
Nov 2017	12	10	0	22
Dec 2017	15	12	0	27
Jan 2018	8	11	0	19
Feb 2018	9	5	0	14
Mar 2018	12	14	0	26
Apr 2018	8	5	1	14
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Jun 2018	6	4	0	10
Jul 2018	13	9	0	22
Aug 2018	15	4	0	19
Sep 2018	13	9	1	23
Oct 2018	15	10	3	28
Nov 2018	16	8	0	24
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Jan 2019	5	4	3	12
Feb 2019	3	7	0	10
Mar 2019	5	5	0	10
Apr 2019	6	3	0	9
May 2019	5	9	0	14
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Jan 2021	25	12	3	40
Feb 2021	13	13	0	26
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Dec 2021	32	17	1	50
Jan 2022	22	13	1	36
Feb 2022	13	6	1	20
Mar 2022	19	12	0	31
Apr 2022	13	9	0	22
May 2022	14	9	0	23
Jun 2022	13	3	2	18
Jul 2022	11	10	0	21
Aug 2022	23	16	3	42
Sep 2022	31	43	0	74
Oct 2022	12	2	2	16
Nov 2022	17	5	0	22
Dec 2022	10	4	0	14
Jan 2023	12	11	0	23
Feb 2023	13	7	0	20
Mar 2023	31	8	0	39
Apr 2023	5	8	0	13
May 2023	29	9	0	38
Jun 2023	40	3	1	44
Jul 2023	39	11	1	51
Aug 2023	35	6	2	43
Sep 2023	42	9	0	51
Oct 2023	38	5	2	45
Nov 2023	26	0	26
Dec 2023	50	11	3	64
Jan 2024	43	6	1	50
Feb 2024	43	6	0	49
Mar 2024	45	13	2	60
Apr 2024	40	13	5	58
May 2024	18	10	5	33
Jun 2024	17	6	2	25
Jul 2024	13	7	2	22
Aug 2024	32	8	2	42
Sep 2024	12	2	0	14
Oct 2024	19	5	1	25
Nov 2024	16	8	4	28
Dec 2024	14	10	1	25
Jan 2025	13	9	5	27
Feb 2025	31	13	4	48
Mar 2025	24	7	4	35
Apr 2025	22	15	2	39
May 2025	28	6	6	40
Jun 2025	49	9	2	60
Jul 2025	26	17	2	45
Aug 2025	27	13	0	40
Sep 2025	51	12	2	65
Oct 2025	18	28	2	48
Nov 2025	31	20	6	57
Dec 2025	4	5	0	9

Latest update: 06 Dec 2025

Short summary

Chemical data assimilation through adjusting precursor emissions has brought out notable impacts on improving ozone forecasts in previous studies. This paper, from another point of view, investigated in detail the impacts of adjusting nitrogen oxide emissions on the forecasts of nitrogen dioxide through assimilating ozone observations. Limitations of the existing chemical data assimilation methods in a highly nonlinear system were identified and highlighted.