Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods

Houweling, Sander; Bergamaschi, Peter; Chevallier, Frederic; Heimann, Martin; Kaminski, Thomas; Krol, Maarten; Michalak, Anna M.; Patra, Prabir

doi:10.5194/acp-17-235-2017

Articles | Volume 17, issue 1

https://doi.org/10.5194/acp-17-235-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Data assimilation in carbon/biogeochemical cycles: consistent...

https://doi.org/10.5194/acp-17-235-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 1

Review article

|

04 Jan 2017

Review article |

| 04 Jan 2017

Global inverse modeling of CH₄ sources and sinks: an overview of methods

Sander Houweling, Peter Bergamaschi, Frederic Chevallier, Martin Heimann, Thomas Kaminski, Maarten Krol, Anna M. Michalak, and Prabir Patra

Viewed

Total article views: 8,029 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
4,861	2,748	420	8,029	211	230

HTML: 4,861
PDF: 2,748
XML: 420
Total: 8,029
BibTeX: 211
EndNote: 230

Views and downloads (calculated since 07 Jul 2016)

Month	HTML	PDF	XML	Total
Jul 2016	168	100	5	273
Aug 2016	34	12	1	47
Sep 2016	51	14	0	65
Oct 2016	25	6	4	35
Nov 2016	15	7	6	28
Dec 2016	14	2	1	17
Jan 2017	216	114	3	333
Feb 2017	28	39	1	68
Mar 2017	47	79	6	132
Apr 2017	65	92	8	165
May 2017	50	66	10	126
Jun 2017	58	57	6	121
Jul 2017	49	33	8	90
Aug 2017	25	24	4	53
Sep 2017	26	27	5	58
Oct 2017	25	25	12	62
Nov 2017	24	41	8	73
Dec 2017	21	21	6	48
Jan 2018	26	31	7	64
Feb 2018	37	30	6	73
Mar 2018	32	33	12	77
Apr 2018	18	18	12	48
May 2018	35	21	3	59
Jun 2018	19	13	10	42
Jul 2018	17	11	4	32
Aug 2018	23	23	4	50
Sep 2018	32	17	10	59
Oct 2018	34	26	8	68
Nov 2018	26	20	7	53
Dec 2018	8	14	5	27
Jan 2019	9	12	6	27
Feb 2019	15	19	6	40
Mar 2019	19	21	5	45
Apr 2019	15	9	1	25
May 2019	25	22	5	52
Jun 2019	16	14	0	30
Jul 2019	17	14	5	36
Aug 2019	10	14	9	33
Sep 2019	19	10	3	32
Oct 2019	11	19	7	37
Nov 2019	22	15	2	39
Dec 2019	16	20	5	41
Jan 2020	22	12	4	38
Feb 2020	14	10	3	27
Mar 2020	12	8	7	27
Apr 2020	11	17	1	29
May 2020	18	16	1	35
Jun 2020	21	17	7	45
Jul 2020	33	23	5	61
Aug 2020	24	9	3	36
Sep 2020	24	17	3	44
Oct 2020	15	13	2	30
Nov 2020	28	13	0	41
Dec 2020	28	22	3	53
Jan 2021	25	22	3	50
Feb 2021	20	29	1	50
Mar 2021	31	22	5	58
Apr 2021	27	27	1	55
May 2021	17	30	2	49
Jun 2021	24	21	3	48
Jul 2021	22	22	0	44
Aug 2021	18	28	1	47
Sep 2021	23	20	2	45
Oct 2021	23	49	0	72
Nov 2021	41	32	6	79
Dec 2021	40	20	3	63
Jan 2022	51	28	4	83
Feb 2022	35	15	4	54
Mar 2022	41	20	2	63
Apr 2022	60	17	6	83
May 2022	40	24	2	66
Jun 2022	29	13	2	44
Jul 2022	42	14	1	57
Aug 2022	40	8	2	50
Sep 2022	34	14	0	48
Oct 2022	22	15	5	42
Nov 2022	51	21	2	74
Dec 2022	49	14	1	64
Jan 2023	41	22	0	63
Feb 2023	42	16	0	58
Mar 2023	64	24	2	90
Apr 2023	43	22	1	66
May 2023	52	18	2	72
Jun 2023	71	19	3	93
Jul 2023	85	17	1	103
Aug 2023	71	19	4	94
Sep 2023	107	24	4	135
Oct 2023	111	25	2	138
Nov 2023	62	9	0	71
Dec 2023	94	25	3	122
Jan 2024	77	21	1	99
Feb 2024	57	22	0	79
Mar 2024	71	30	5	106
Apr 2024	72	17	3	92
May 2024	65	29	6	100
Jun 2024	93	30	1	124
Jul 2024	50	17	2	69
Aug 2024	76	32	7	115
Sep 2024	36	9	4	49
Oct 2024	70	29	0	99
Nov 2024	82	15	2	99
Dec 2024	47	23	5	75
Jan 2025	61	39	2	102
Feb 2025	55	28	0	83
Mar 2025	64	19	2	85
Apr 2025	31	25	0	56
May 2025	73	15	0	88
Jun 2025	77	20	7	104
Jul 2025	62	30	4	96
Aug 2025	104	50	4	158
Sep 2025	93	23	6	122
Oct 2025	48	34	0	82
Nov 2025	52	32	4	88
Dec 2025	5	12	0	17

Cumulative views and downloads (calculated since 07 Jul 2016)

Month	HTML	PDF	XML	Total
Jul 2016	168	100	5	273
Aug 2016	34	12	1	47
Sep 2016	51	14	0	65
Oct 2016	25	6	4	35
Nov 2016	15	7	6	28
Dec 2016	14	2	1	17
Jan 2017	216	114	3	333
Feb 2017	28	39	1	68
Mar 2017	47	79	6	132
Apr 2017	65	92	8	165
May 2017	50	66	10	126
Jun 2017	58	57	6	121
Jul 2017	49	33	8	90
Aug 2017	25	24	4	53
Sep 2017	26	27	5	58
Oct 2017	25	25	12	62
Nov 2017	24	41	8	73
Dec 2017	21	21	6	48
Jan 2018	26	31	7	64
Feb 2018	37	30	6	73
Mar 2018	32	33	12	77
Apr 2018	18	18	12	48
May 2018	35	21	3	59
Jun 2018	19	13	10	42
Jul 2018	17	11	4	32
Aug 2018	23	23	4	50
Sep 2018	32	17	10	59
Oct 2018	34	26	8	68
Nov 2018	26	20	7	53
Dec 2018	8	14	5	27
Jan 2019	9	12	6	27
Feb 2019	15	19	6	40
Mar 2019	19	21	5	45
Apr 2019	15	9	1	25
May 2019	25	22	5	52
Jun 2019	16	14	0	30
Jul 2019	17	14	5	36
Aug 2019	10	14	9	33
Sep 2019	19	10	3	32
Oct 2019	11	19	7	37
Nov 2019	22	15	2	39
Dec 2019	16	20	5	41
Jan 2020	22	12	4	38
Feb 2020	14	10	3	27
Mar 2020	12	8	7	27
Apr 2020	11	17	1	29
May 2020	18	16	1	35
Jun 2020	21	17	7	45
Jul 2020	33	23	5	61
Aug 2020	24	9	3	36
Sep 2020	24	17	3	44
Oct 2020	15	13	2	30
Nov 2020	28	13	0	41
Dec 2020	28	22	3	53
Jan 2021	25	22	3	50
Feb 2021	20	29	1	50
Mar 2021	31	22	5	58
Apr 2021	27	27	1	55
May 2021	17	30	2	49
Jun 2021	24	21	3	48
Jul 2021	22	22	0	44
Aug 2021	18	28	1	47
Sep 2021	23	20	2	45
Oct 2021	23	49	0	72
Nov 2021	41	32	6	79
Dec 2021	40	20	3	63
Jan 2022	51	28	4	83
Feb 2022	35	15	4	54
Mar 2022	41	20	2	63
Apr 2022	60	17	6	83
May 2022	40	24	2	66
Jun 2022	29	13	2	44
Jul 2022	42	14	1	57
Aug 2022	40	8	2	50
Sep 2022	34	14	0	48
Oct 2022	22	15	5	42
Nov 2022	51	21	2	74
Dec 2022	49	14	1	64
Jan 2023	41	22	0	63
Feb 2023	42	16	0	58
Mar 2023	64	24	2	90
Apr 2023	43	22	1	66
May 2023	52	18	2	72
Jun 2023	71	19	3	93
Jul 2023	85	17	1	103
Aug 2023	71	19	4	94
Sep 2023	107	24	4	135
Oct 2023	111	25	2	138
Nov 2023	62	9	0	71
Dec 2023	94	25	3	122
Jan 2024	77	21	1	99
Feb 2024	57	22	0	79
Mar 2024	71	30	5	106
Apr 2024	72	17	3	92
May 2024	65	29	6	100
Jun 2024	93	30	1	124
Jul 2024	50	17	2	69
Aug 2024	76	32	7	115
Sep 2024	36	9	4	49
Oct 2024	70	29	0	99
Nov 2024	82	15	2	99
Dec 2024	47	23	5	75
Jan 2025	61	39	2	102
Feb 2025	55	28	0	83
Mar 2025	64	19	2	85
Apr 2025	31	25	0	56
May 2025	73	15	0	88
Jun 2025	77	20	7	104
Jul 2025	62	30	4	96
Aug 2025	104	50	4	158
Sep 2025	93	23	6	122
Oct 2025	48	34	0	82
Nov 2025	52	32	4	88
Dec 2025	5	12	0	17

Latest update: 06 Dec 2025

Short summary

The aim of this paper is to present an overview of inverse modeling methods, developed over the years, for estimating the global sources and sinks of the greenhouse gas methane from atmospheric measurements. It provides insight into how techniques and estimates have evolved over time, what the remaining shortcomings are, new developments, and promising future directions.

Global inverse modeling of CH4 sources and sinks: an overview of methods

Viewed

Global inverse modeling of CH₄ sources and sinks: an overview of methods