Inverse modeling of black carbon emissions over China using ensemble data  assimilation

Wang, P.; Wang, H.; Wang, Y. Q.; Zhang, X. Y.; Gong, S. L.; Xue, M.; Zhou, C. H.; Liu, H. L.; An, X. Q.; Niu, T.; Cheng, Y. L.

doi:10.5194/acp-16-989-2016

Articles | Volume 16, issue 2

https://doi.org/10.5194/acp-16-989-2016

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

Special issue:

Haze-fog forecasts and near real time (NRT) data application...

https://doi.org/10.5194/acp-16-989-2016

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

Articles | Volume 16, issue 2

Research article

|

27 Jan 2016

Research article |

| 27 Jan 2016

Inverse modeling of black carbon emissions over China using ensemble data assimilation

P. Wang, H. Wang, Y. Q. Wang, X. Y. Zhang, S. L. Gong, M. Xue, C. H. Zhou, H. L. Liu, X. Q. An, T. Niu, and Y. L. Cheng

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Views and downloads (calculated since 04 Aug 2015)

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May 2017	20	10	3	33
Jun 2017	12	9	2	23
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Aug 2017	9	11	0	20
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Jan 2024	43	4	1	48
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Apr 2024	62	9	3	74
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Oct 2024	13	3	0	16
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Jan 2025	16	6	0	22
Feb 2025	21	11	1	33
Mar 2025	13	6	0	19
Apr 2025	7	15	2	24
May 2025	15	7	0	22
Jun 2025	36	14	13	63
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Oct 2025	24	21	1	46
Nov 2025	23	23	3	49
Dec 2025	3	2	0	5

Cumulative views and downloads (calculated since 04 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	108	156	17	281
Sep 2015	11	44	2	57
Oct 2015	14	39	0	53
Nov 2015	14	46	5	65
Dec 2015	9	38	7	54
Jan 2016	144	83	7	234
Feb 2016	65	91	3	159
Mar 2016	33	60	1	94
Apr 2016	16	35	0	51
May 2016	11	19	0	30
Jun 2016	10	8	2	20
Jul 2016	6	12	2	20
Aug 2016	7	11	0	18
Sep 2016	6	6	0	12
Oct 2016	7	3	0	10
Nov 2016	7	18	1	26
Dec 2016	9	15	1	25
Jan 2017	9	31	3	43
Feb 2017	11	20	1	32
Mar 2017	21	39	3	63
Apr 2017	12	42	2	56
May 2017	20	10	3	33
Jun 2017	12	9	2	23
Jul 2017	7	6	0	13
Aug 2017	9	11	0	20
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Nov 2023	31	4	0	35
Dec 2023	69	10	3	82
Jan 2024	43	4	1	48
Feb 2024	42	7	0	49
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Apr 2024	62	9	3	74
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Feb 2025	21	11	1	33
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Apr 2025	7	15	2	24
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Jun 2025	36	14	13	63
Jul 2025	31	16	0	47
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Sep 2025	41	23	8	72
Oct 2025	24	21	1	46
Nov 2025	23	23	3	49
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Latest update: 05 Dec 2025

Short summary

An ensemble optimal interpolation (EnOI) data assimilation technique is used to investigate the possibility of optimally recovering the spatially resolved emissions bias of BC. The inversed emission over China in January is 240.1 Gg, and annual emission is about 2539 Gg. Even though only monthly mean BC measurements are employed to inverse the emissions, the accuracy of the daily model simulation improves. We finds that EnOI is a useful and computation-free method to make top-down estimation.