Average versus high surface ozone levels over the continental USA: model bias, background influences, and interannual variability

Guo, Jean J.; Fiore, Arlene M.; Murray, Lee T.; Jaffe, Daniel A.; Schnell, Jordan L.; Moore, Charles T.; Milly, George P.

doi:10.5194/acp-18-12123-2018

Articles | Volume 18, issue 16

https://doi.org/10.5194/acp-18-12123-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Global and regional assessment of intercontinental transport...

https://doi.org/10.5194/acp-18-12123-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 16

Research article

|

22 Aug 2018

Research article |

| 22 Aug 2018

Average versus high surface ozone levels over the continental USA: model bias, background influences, and interannual variability

Jean J. Guo, Arlene M. Fiore, Lee T. Murray, Daniel A. Jaffe, Jordan L. Schnell, Charles T. Moore, and George P. Milly

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Total article views: 6,281 (including HTML, PDF, and XML)

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4,030	2,144	107	6,281	533	108	129

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XML: 107
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BibTeX: 108
EndNote: 129

Views and downloads (calculated since 26 Feb 2018)

Month	HTML	PDF	XML	Total
Feb 2018	108	41	4	153
Mar 2018	135	60	4	199
Apr 2018	61	21	0	82
May 2018	57	20	1	78
Jun 2018	43	17	1	61
Jul 2018	140	28	0	168
Aug 2018	259	95	3	357
Sep 2018	97	61	3	161
Oct 2018	53	42	4	99
Nov 2018	46	33	1	80
Dec 2018	24	16	1	41
Jan 2019	35	25	0	60
Feb 2019	25	17	0	42
Mar 2019	19	12	2	33
Apr 2019	20	11	1	32
May 2019	28	15	0	43
Jun 2019	22	15	0	37
Jul 2019	15	16	0	31
Aug 2019	17	6	2	25
Sep 2019	16	14	0	30
Oct 2019	59	32	1	92
Nov 2019	21	6	0	27
Dec 2019	12	11	0	23
Jan 2020	16	11	0	27
Feb 2020	439	596	1	1,036
Mar 2020	16	5	0	21
Apr 2020	35	7	0	42
May 2020	21	3	1	25
Jun 2020	15	10	0	25
Jul 2020	17	9	4	30
Aug 2020	14	12	3	29
Sep 2020	11	2	1	14
Oct 2020	6	12	0	18
Nov 2020	4	8	0	12
Dec 2020	8	8	0	16
Jan 2021	20	15	0	35
Feb 2021	13	10	0	23
Mar 2021	5	12	0	17
Apr 2021	14	4	0	18
May 2021	9	15	2	26
Jun 2021	10	10	0	20
Jul 2021	8	20	1	29
Aug 2021	13	18	0	31
Sep 2021	13	16	0	29
Oct 2021	21	43	1	65
Nov 2021	18	35	0	53
Dec 2021	22	17	1	40
Jan 2022	9	17	1	27
Feb 2022	9	15	3	27
Mar 2022	15	18	0	33
Apr 2022	15	16	2	33
May 2022	5	9	0	14
Jun 2022	8	9	0	17
Jul 2022	40	4	0	44
Aug 2022	77	8	0	85
Sep 2022	6	17	0	23
Oct 2022	10	9	1	20
Nov 2022	15	16	2	33
Dec 2022	18	12	2	32
Jan 2023	21	6	0	27
Feb 2023	32	7	1	40
Mar 2023	27	8	3	38
Apr 2023	18	20	0	38
May 2023	37	10	1	48
Jun 2023	37	9	1	47
Jul 2023	17	7	1	25
Aug 2023	25	10	4	39
Sep 2023	17	10	1	28
Oct 2023	38	10	3	51
Nov 2023	28	3	0	31
Dec 2023	22	8	1	31
Jan 2024	25	13	0	38
Feb 2024	39	16	0	55
Mar 2024	27	22	3	52
Apr 2024	50	16	7	73
May 2024	62	12	3	77
Jun 2024	86	26	2	114
Jul 2024	101	24	2	127
Aug 2024	66	12	2	80
Sep 2024	48	11	0	59
Oct 2024	45	10	1	56
Nov 2024	32	7	2	41
Dec 2024	41	10	1	52
Jan 2025	53	13	2	68
Feb 2025	131	24	0	155
Mar 2025	43	28	0	71
Apr 2025	54	18	4	76
May 2025	66	6	1	73
Jun 2025	92	11	2	105
Jul 2025	85	15	2	102
Aug 2025	74	17	0	91
Sep 2025	66	20	1	87
Oct 2025	59	33	0	92
Nov 2025	59	10	2	71

Cumulative views and downloads (calculated since 26 Feb 2018)

Month	HTML	PDF	XML	Total
Feb 2018	108	41	4	153
Mar 2018	135	60	4	199
Apr 2018	61	21	0	82
May 2018	57	20	1	78
Jun 2018	43	17	1	61
Jul 2018	140	28	0	168
Aug 2018	259	95	3	357
Sep 2018	97	61	3	161
Oct 2018	53	42	4	99
Nov 2018	46	33	1	80
Dec 2018	24	16	1	41
Jan 2019	35	25	0	60
Feb 2019	25	17	0	42
Mar 2019	19	12	2	33
Apr 2019	20	11	1	32
May 2019	28	15	0	43
Jun 2019	22	15	0	37
Jul 2019	15	16	0	31
Aug 2019	17	6	2	25
Sep 2019	16	14	0	30
Oct 2019	59	32	1	92
Nov 2019	21	6	0	27
Dec 2019	12	11	0	23
Jan 2020	16	11	0	27
Feb 2020	439	596	1	1,036
Mar 2020	16	5	0	21
Apr 2020	35	7	0	42
May 2020	21	3	1	25
Jun 2020	15	10	0	25
Jul 2020	17	9	4	30
Aug 2020	14	12	3	29
Sep 2020	11	2	1	14
Oct 2020	6	12	0	18
Nov 2020	4	8	0	12
Dec 2020	8	8	0	16
Jan 2021	20	15	0	35
Feb 2021	13	10	0	23
Mar 2021	5	12	0	17
Apr 2021	14	4	0	18
May 2021	9	15	2	26
Jun 2021	10	10	0	20
Jul 2021	8	20	1	29
Aug 2021	13	18	0	31
Sep 2021	13	16	0	29
Oct 2021	21	43	1	65
Nov 2021	18	35	0	53
Dec 2021	22	17	1	40
Jan 2022	9	17	1	27
Feb 2022	9	15	3	27
Mar 2022	15	18	0	33
Apr 2022	15	16	2	33
May 2022	5	9	0	14
Jun 2022	8	9	0	17
Jul 2022	40	4	0	44
Aug 2022	77	8	0	85
Sep 2022	6	17	0	23
Oct 2022	10	9	1	20
Nov 2022	15	16	2	33
Dec 2022	18	12	2	32
Jan 2023	21	6	0	27
Feb 2023	32	7	1	40
Mar 2023	27	8	3	38
Apr 2023	18	20	0	38
May 2023	37	10	1	48
Jun 2023	37	9	1	47
Jul 2023	17	7	1	25
Aug 2023	25	10	4	39
Sep 2023	17	10	1	28
Oct 2023	38	10	3	51
Nov 2023	28	3	0	31
Dec 2023	22	8	1	31
Jan 2024	25	13	0	38
Feb 2024	39	16	0	55
Mar 2024	27	22	3	52
Apr 2024	50	16	7	73
May 2024	62	12	3	77
Jun 2024	86	26	2	114
Jul 2024	101	24	2	127
Aug 2024	66	12	2	80
Sep 2024	48	11	0	59
Oct 2024	45	10	1	56
Nov 2024	32	7	2	41
Dec 2024	41	10	1	52
Jan 2025	53	13	2	68
Feb 2025	131	24	0	155
Mar 2025	43	28	0	71
Apr 2025	54	18	4	76
May 2025	66	6	1	73
Jun 2025	92	11	2	105
Jul 2025	85	15	2	102
Aug 2025	74	17	0	91
Sep 2025	66	20	1	87
Oct 2025	59	33	0	92
Nov 2025	59	10	2	71

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Short summary

We use the GEOS-Chem model to estimate the influence from anthropogenic and background sources to ozone over the USA. Novel findings include the point that year-to-year background variability on the 10 highest observed ozone days is driven mainly by natural sources and not international or intercontinental pollution transport. High positive model biases during summer are associated with regional ozone production. The EPA 3-year average metric falls short of its aim to remove natural variability.


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