Development of an adjoint model of GRAPES–CUACE and its application in  tracking influential haze source areas in north China

An, Xing Qin; Zhai, Shi Xian; Jin, Min; Gong, Sunling; Wang, Yu

doi:10.5194/gmd-9-2153-2016

Articles | Volume 9, issue 6

https://doi.org/10.5194/gmd-9-2153-2016

© 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/gmd-9-2153-2016

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

Articles | Volume 9, issue 6

Development and technical paper

|

14 Jun 2016

Development and technical paper |

| 14 Jun 2016

Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China

Xing Qin An, Shi Xian Zhai, Min Jin, Sunling Gong, and Yu Wang

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Month	HTML	PDF	XML	Total
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Sep 2015	17	26	2	45
Oct 2015	21	6	5	32
Nov 2015	17	8	1	26
Dec 2015	24	37	0	61
Jan 2016	33	33	0	66
Feb 2016	10	35	1	46
Mar 2016	38	39	0	77
Apr 2016	11	30	0	41
May 2016	18	8	0	26
Jun 2016	85	34	9	128
Jul 2016	36	20	4	60
Aug 2016	17	5	2	24
Sep 2016	23	9	3	35
Oct 2016	27	14	3	44
Nov 2016	21	18	3	42
Dec 2016	13	9	3	25
Jan 2017	32	17	4	53
Feb 2017	25	14	3	42
Mar 2017	48	23	12	83
Apr 2017	42	25	6	73
May 2017	50	17	10	77
Jun 2017	39	12	6	57
Jul 2017	19	8	1	28
Aug 2017	6	7	0	13
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May 2019	5	8	0	13
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Aug 2019	8	8	0	16
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Mar 2020	10	11	1	22
Apr 2020	8	7	0	15
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Dec 2022	46	10	0	56
Jan 2023	34	9	0	43
Feb 2023	46	11	0	57
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Jun 2023	67	12	0	79
Jul 2023	41	6	1	48
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Oct 2023	45	7	0	52
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Jan 2024	38	6	1	45
Feb 2024	37	11	0	48
Mar 2024	50	16	3	69
Apr 2024	44	15	7	66
May 2024	40	13	4	57
Jun 2024	20	15	2	37
Jul 2024	18	8	2	28
Aug 2024	22	4	4	30
Sep 2024	8	2	0	10
Oct 2024	25	15	0	40
Nov 2024	30	5	1	36
Dec 2024	17	9	4	30
Jan 2025	14	15	3	32
Feb 2025	27	18	2	47
Mar 2025	29	8	0	37
Apr 2025	16	13	0	29
May 2025	19	9	1	29
Jun 2025	32	22	1	55
Jul 2025	22	18	1	41
Aug 2025	19	17	2	38
Sep 2025	24	17	5	46
Oct 2025	41	18	2	61
Nov 2025	21	9	2	32

Cumulative views and downloads (calculated since 28 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	24	14	2	40
Sep 2015	17	26	2	45
Oct 2015	21	6	5	32
Nov 2015	17	8	1	26
Dec 2015	24	37	0	61
Jan 2016	33	33	0	66
Feb 2016	10	35	1	46
Mar 2016	38	39	0	77
Apr 2016	11	30	0	41
May 2016	18	8	0	26
Jun 2016	85	34	9	128
Jul 2016	36	20	4	60
Aug 2016	17	5	2	24
Sep 2016	23	9	3	35
Oct 2016	27	14	3	44
Nov 2016	21	18	3	42
Dec 2016	13	9	3	25
Jan 2017	32	17	4	53
Feb 2017	25	14	3	42
Mar 2017	48	23	12	83
Apr 2017	42	25	6	73
May 2017	50	17	10	77
Jun 2017	39	12	6	57
Jul 2017	19	8	1	28
Aug 2017	6	7	0	13
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Jan 2023	34	9	0	43
Feb 2023	46	11	0	57
Mar 2023	61	9	18	88
Apr 2023	34	5	0	39
May 2023	56	14	0	70
Jun 2023	67	12	0	79
Jul 2023	41	6	1	48
Aug 2023	43	8	1	52
Sep 2023	36	8	1	45
Oct 2023	45	7	0	52
Nov 2023	26	6	0	32
Dec 2023	49	5	2	56
Jan 2024	38	6	1	45
Feb 2024	37	11	0	48
Mar 2024	50	16	3	69
Apr 2024	44	15	7	66
May 2024	40	13	4	57
Jun 2024	20	15	2	37
Jul 2024	18	8	2	28
Aug 2024	22	4	4	30
Sep 2024	8	2	0	10
Oct 2024	25	15	0	40
Nov 2024	30	5	1	36
Dec 2024	17	9	4	30
Jan 2025	14	15	3	32
Feb 2025	27	18	2	47
Mar 2025	29	8	0	37
Apr 2025	16	13	0	29
May 2025	19	9	1	29
Jun 2025	32	22	1	55
Jul 2025	22	18	1	41
Aug 2025	19	17	2	38
Sep 2025	24	17	5	46
Oct 2025	41	18	2	61
Nov 2025	21	9	2	32

Latest update: 16 Nov 2025

Short summary

The aerosol adjoint module of the atmospheric chemical modeling system GRAPES–CUACE was developed, tested for its correctness, and used in a receptor–source sensitivity test. The results showed that controlling critical emission sources during critical time intervals on the basis of adjoint sensitivity analysis is much more efficient than controlling administrative specified regions during an experiential time period.