Carbon monoxide climatology derived from the trajectory mapping of global
MOZAIC-IAGOS data

Osman, Mohammed K.; Tarasick, David W.; Liu, Jane; Moeini, Omid; Thouret, Valerie; Fioletov, Vitali E.; Parrington, Mark; Nédélec, Philippe

doi:10.5194/acp-16-10263-2016

Articles | Volume 16, issue 15

https://doi.org/10.5194/acp-16-10263-2016

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

https://doi.org/10.5194/acp-16-10263-2016

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

Articles | Volume 16, issue 15

Research article

|

12 Aug 2016

Research article |

| 12 Aug 2016

Carbon monoxide climatology derived from the trajectory mapping of global MOZAIC-IAGOS data

Mohammed K. Osman, David W. Tarasick, Jane Liu, Omid Moeini, Valerie Thouret, Vitali E. Fioletov, Mark Parrington, and Philippe Nédélec

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XML: 367
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BibTeX: 129
EndNote: 164

Views and downloads (calculated since 02 Nov 2015)

Month	HTML	PDF	XML	Total
Nov 2015	66	87	13	166
Dec 2015	11	22	6	39
Jan 2016	28	9	2	39
Feb 2016	29	6	1	36
Mar 2016	19	12	1	32
Apr 2016	20	10	0	30
May 2016	13	8	1	22
Jun 2016	10	1	1	12
Jul 2016	12	2	1	15
Aug 2016	142	43	3	188
Sep 2016	47	22	1	70
Oct 2016	26	11	0	37
Nov 2016	17	11	0	28
Dec 2016	7	10	0	17
Jan 2017	16	11	1	28
Feb 2017	10	8	1	19
Mar 2017	27	21	9	57
Apr 2017	26	16	8	50
May 2017	30	20	12	62
Jun 2017	31	17	6	54
Jul 2017	20	14	7	41
Aug 2017	11	17	9	37
Sep 2017	10	12	2	24
Oct 2017	15	22	4	41
Nov 2017	9	17	3	29
Dec 2017	9	16	2	27
Jan 2018	8	18	4	30
Feb 2018	6	14	8	28
Mar 2018	14	20	6	40
Apr 2018	12	21	5	38
May 2018	14	19	9	42
Jun 2018	9	17	7	33
Jul 2018	3	22	4	29
Aug 2018	18	20	2	40
Sep 2018	10	24	6	40
Oct 2018	10	22	8	40
Nov 2018	13	19	6	38
Dec 2018	10	16	2	28
Jan 2019	7	14	5	26
Feb 2019	5	11	2	18
Mar 2019	5	16	2	23
Apr 2019	8	13	2	23
May 2019	7	13	0	20
Jun 2019	7	15	0	22
Jul 2019	12	23	0	35
Aug 2019	9	17	0	26
Sep 2019	9	19	0	28
Oct 2019	12	8	1	21
Nov 2019	10	14	0	24
Dec 2019	12	12	1	25
Jan 2020	11	13	3	27
Feb 2020	21	12	1	34
Mar 2020	3	13	5	21
Apr 2020	4	13	1	18
May 2020	24	11	0	35
Jun 2020	28	8	3	39
Jul 2020	20	14	9	43
Aug 2020	8	11	5	24
Sep 2020	8	18	3	29
Oct 2020	7	14	2	23
Nov 2020	8	10	5	23
Dec 2020	15	17	10	42
Jan 2021	22	24	8	54
Feb 2021	12	16	13	41
Mar 2021	8	17	5	30
Apr 2021	8	16	9	33
May 2021	10	10	13	33
Jun 2021	9	14	11	34
Jul 2021	9	19	4	32
Aug 2021	7	17	12	36
Sep 2021	16	13	2	31
Oct 2021	6	41	9	56
Nov 2021	17	39	5	61
Dec 2021	12	6	0	18
Jan 2022	14	15	1	30
Feb 2022	11	9	1	21
Mar 2022	11	6	1	18
Apr 2022	4	2	6
May 2022	8	8	0	16
Jun 2022	3	7	0	10
Jul 2022	7	8	0	15
Aug 2022	14	8	0	22
Sep 2022	6	6	0	12
Oct 2022	10	9	1	20
Nov 2022	21	7	2	30
Dec 2022	13	6	1	20
Jan 2023	15	18	0	33
Feb 2023	16	9	0	25
Mar 2023	18	15	0	33
Apr 2023	12	15	1	28
May 2023	36	15	0	51
Jun 2023	39	8	1	48
Jul 2023	42	14	1	57
Aug 2023	46	12	2	60
Sep 2023	44	10	1	55
Oct 2023	57	17	2	76
Nov 2023	29	9	0	38
Dec 2023	50	17	1	68
Jan 2024	43	20	1	64
Feb 2024	49	17	1	67
Mar 2024	46	16	1	63
Apr 2024	44	24	3	71
May 2024	20	13	2	35
Jun 2024	14	16	2	32
Jul 2024	25	22	5	52
Aug 2024	30	12	2	44
Sep 2024	13	14	0	27
Oct 2024	20	17	0	37
Nov 2024	8	6	2	16
Dec 2024	13	3	1	17
Jan 2025	18	8	0	26
Feb 2025	77	4	3	84
Mar 2025	35	11	2	48
Apr 2025	13	11	3	27
May 2025	24	6	0	30
Jun 2025	46	9	2	57
Jul 2025	24	11	1	36
Aug 2025	32	19	1	52
Sep 2025	55	13	2	70
Oct 2025	15	23	2	40
Nov 2025	14	18	1	33

Cumulative views and downloads (calculated since 02 Nov 2015)

Month	HTML	PDF	XML	Total
Nov 2015	66	87	13	166
Dec 2015	11	22	6	39
Jan 2016	28	9	2	39
Feb 2016	29	6	1	36
Mar 2016	19	12	1	32
Apr 2016	20	10	0	30
May 2016	13	8	1	22
Jun 2016	10	1	1	12
Jul 2016	12	2	1	15
Aug 2016	142	43	3	188
Sep 2016	47	22	1	70
Oct 2016	26	11	0	37
Nov 2016	17	11	0	28
Dec 2016	7	10	0	17
Jan 2017	16	11	1	28
Feb 2017	10	8	1	19
Mar 2017	27	21	9	57
Apr 2017	26	16	8	50
May 2017	30	20	12	62
Jun 2017	31	17	6	54
Jul 2017	20	14	7	41
Aug 2017	11	17	9	37
Sep 2017	10	12	2	24
Oct 2017	15	22	4	41
Nov 2017	9	17	3	29
Dec 2017	9	16	2	27
Jan 2018	8	18	4	30
Feb 2018	6	14	8	28
Mar 2018	14	20	6	40
Apr 2018	12	21	5	38
May 2018	14	19	9	42
Jun 2018	9	17	7	33
Jul 2018	3	22	4	29
Aug 2018	18	20	2	40
Sep 2018	10	24	6	40
Oct 2018	10	22	8	40
Nov 2018	13	19	6	38
Dec 2018	10	16	2	28
Jan 2019	7	14	5	26
Feb 2019	5	11	2	18
Mar 2019	5	16	2	23
Apr 2019	8	13	2	23
May 2019	7	13	0	20
Jun 2019	7	15	0	22
Jul 2019	12	23	0	35
Aug 2019	9	17	0	26
Sep 2019	9	19	0	28
Oct 2019	12	8	1	21
Nov 2019	10	14	0	24
Dec 2019	12	12	1	25
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Feb 2020	21	12	1	34
Mar 2020	3	13	5	21
Apr 2020	4	13	1	18
May 2020	24	11	0	35
Jun 2020	28	8	3	39
Jul 2020	20	14	9	43
Aug 2020	8	11	5	24
Sep 2020	8	18	3	29
Oct 2020	7	14	2	23
Nov 2020	8	10	5	23
Dec 2020	15	17	10	42
Jan 2021	22	24	8	54
Feb 2021	12	16	13	41
Mar 2021	8	17	5	30
Apr 2021	8	16	9	33
May 2021	10	10	13	33
Jun 2021	9	14	11	34
Jul 2021	9	19	4	32
Aug 2021	7	17	12	36
Sep 2021	16	13	2	31
Oct 2021	6	41	9	56
Nov 2021	17	39	5	61
Dec 2021	12	6	0	18
Jan 2022	14	15	1	30
Feb 2022	11	9	1	21
Mar 2022	11	6	1	18
Apr 2022	4	2	6
May 2022	8	8	0	16
Jun 2022	3	7	0	10
Jul 2022	7	8	0	15
Aug 2022	14	8	0	22
Sep 2022	6	6	0	12
Oct 2022	10	9	1	20
Nov 2022	21	7	2	30
Dec 2022	13	6	1	20
Jan 2023	15	18	0	33
Feb 2023	16	9	0	25
Mar 2023	18	15	0	33
Apr 2023	12	15	1	28
May 2023	36	15	0	51
Jun 2023	39	8	1	48
Jul 2023	42	14	1	57
Aug 2023	46	12	2	60
Sep 2023	44	10	1	55
Oct 2023	57	17	2	76
Nov 2023	29	9	0	38
Dec 2023	50	17	1	68
Jan 2024	43	20	1	64
Feb 2024	49	17	1	67
Mar 2024	46	16	1	63
Apr 2024	44	24	3	71
May 2024	20	13	2	35
Jun 2024	14	16	2	32
Jul 2024	25	22	5	52
Aug 2024	30	12	2	44
Sep 2024	13	14	0	27
Oct 2024	20	17	0	37
Nov 2024	8	6	2	16
Dec 2024	13	3	1	17
Jan 2025	18	8	0	26
Feb 2025	77	4	3	84
Mar 2025	35	11	2	48
Apr 2025	13	11	3	27
May 2025	24	6	0	30
Jun 2025	46	9	2	57
Jul 2025	24	11	1	36
Aug 2025	32	19	1	52
Sep 2025	55	13	2	70
Oct 2025	15	23	2	40
Nov 2025	14	18	1	33

Latest update: 18 Nov 2025

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Short summary

A new 3-D gridded climatology of CO has been developed by trajectory mapping of global MOZAIC-IAGOS in situ aircraft measurements. The dataset is archived monthly from 2001–2012 on a grid of 5 × 5deg × 1 km altitude. The dataset facilitates comparison of different years and seasons and offers insight into the global variation and trends of CO. Major CO sources are clearly visible. The dataset can be used as an a priori data for satellite retrieval and for air quality model validation and initialization.