Two global data sets of daily fire emission injection heights since 2003

Rémy, Samuel; Veira, Andreas; Paugam, Ronan; Sofiev, Mikhail; Kaiser, Johannes W.; Marenco, Franco; Burton, Sharon P.; Benedetti, Angela; Engelen, Richard J.; Ferrare, Richard; Hair, Jonathan W.

doi:10.5194/acp-17-2921-2017

Articles | Volume 17, issue 4

https://doi.org/10.5194/acp-17-2921-2017

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

Special issue:

Coupled chemistry–meteorology modelling: status and...

https://doi.org/10.5194/acp-17-2921-2017

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

Articles | Volume 17, issue 4

Research article

|

27 Feb 2017

Research article |

| 27 Feb 2017

Two global data sets of daily fire emission injection heights since 2003

Samuel Rémy, Andreas Veira, Ronan Paugam, Mikhail Sofiev, Johannes W. Kaiser, Franco Marenco, Sharon P. Burton, Angela Benedetti, Richard J. Engelen, Richard Ferrare, and Jonathan W. Hair

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4,055	2,183	350	6,588	167	172

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PDF: 2,183
XML: 350
Total: 6,588
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Views and downloads (calculated since 13 Apr 2016)

Month	HTML	PDF	XML	Total
Apr 2016	195	80	0	275
May 2016	29	9	0	38
Jun 2016	14	6	0	20
Jul 2016	24	5	1	30
Aug 2016	12	5	1	18
Sep 2016	9	6	0	15
Oct 2016	15	7	4	26
Nov 2016	3	2	7	12
Dec 2016	4	2	1	7
Jan 2017	18	12	2	32
Feb 2017	103	31	4	138
Mar 2017	138	61	8	207
Apr 2017	27	34	2	63
May 2017	39	28	4	71
Jun 2017	38	14	8	60
Jul 2017	27	17	5	49
Aug 2017	25	20	5	50
Sep 2017	25	16	5	46
Oct 2017	16	16	2	34
Nov 2017	18	20	5	43
Dec 2017	25	14	5	44
Jan 2018	18	14	4	36
Feb 2018	21	15	5	41
Mar 2018	20	35	6	61
Apr 2018	15	17	5	37
May 2018	22	11	6	39
Jun 2018	17	18	4	39
Jul 2018	5	8	5	18
Aug 2018	25	15	7	47
Sep 2018	23	12	5	40
Oct 2018	22	12	8	42
Nov 2018	15	15	10	40
Dec 2018	12	16	9	37
Jan 2019	13	8	6	27
Feb 2019	16	4	5	25
Mar 2019	17	12	6	35
Apr 2019	17	7	6	30
May 2019	25	13	7	45
Jun 2019	24	8	6	38
Jul 2019	17	14	5	36
Aug 2019	17	12	1	30
Sep 2019	22	10	5	37
Oct 2019	16	5	7	28
Nov 2019	18	6	1	25
Dec 2019	18	8	0	26
Jan 2020	19	12	2	33
Feb 2020	21	17	3	41
Mar 2020	18	8	0	26
Apr 2020	30	10	0	40
May 2020	16	15	2	33
Jun 2020	28	20	4	52
Jul 2020	36	19	7	62
Aug 2020	23	12	4	39
Sep 2020	20	7	3	30
Oct 2020	14	13	1	28
Nov 2020	17	13	4	34
Dec 2020	18	12	4	34
Jan 2021	31	22	1	54
Feb 2021	33	25	2	60
Mar 2021	33	20	4	57
Apr 2021	33	16	4	53
May 2021	39	17	3	59
Jun 2021	32	18	7	57
Jul 2021	29	18	9	56
Aug 2021	26	20	7	53
Sep 2021	38	22	7	67
Oct 2021	33	36	0	69
Nov 2021	44	52	0	96
Dec 2021	31	22	4	57
Jan 2022	44	23	2	69
Feb 2022	26	27	2	55
Mar 2022	24	13	3	40
Apr 2022	30	26	1	57
May 2022	19	12	1	32
Jun 2022	14	9	2	25
Jul 2022	30	16	0	46
Aug 2022	26	14	0	40
Sep 2022	28	27	0	55
Oct 2022	25	17	7	49
Nov 2022	40	26	0	66
Dec 2022	24	15	0	39
Jan 2023	27	15	1	43
Feb 2023	33	21	0	54
Mar 2023	56	34	1	91
Apr 2023	38	35	0	73
May 2023	47	25	0	72
Jun 2023	63	27	1	91
Jul 2023	69	24	1	94
Aug 2023	73	29	5	107
Sep 2023	74	29	0	103
Oct 2023	64	19	2	85
Nov 2023	35	10	1	46
Dec 2023	67	20	1	88
Jan 2024	59	29	1	89
Feb 2024	60	23	0	83
Mar 2024	73	38	3	114
Apr 2024	84	26	4	114
May 2024	32	27	1	60
Jun 2024	75	22	2	99
Jul 2024	36	23	1	60
Aug 2024	40	28	2	70
Sep 2024	32	21	0	53
Oct 2024	57	27	2	86
Nov 2024	24	11	3	38
Dec 2024	25	26	2	53
Jan 2025	37	19	0	56
Feb 2025	42	15	0	57
Mar 2025	37	12	3	52
Apr 2025	41	17	1	59
May 2025	44	14	2	60
Jun 2025	69	16	3	88
Jul 2025	40	30	2	72
Aug 2025	71	25	1	97
Sep 2025	104	21	1	126
Oct 2025	50	36	0	86
Nov 2025	46	18	5	69

Cumulative views and downloads (calculated since 13 Apr 2016)

Month	HTML	PDF	XML	Total
Apr 2016	195	80	0	275
May 2016	29	9	0	38
Jun 2016	14	6	0	20
Jul 2016	24	5	1	30
Aug 2016	12	5	1	18
Sep 2016	9	6	0	15
Oct 2016	15	7	4	26
Nov 2016	3	2	7	12
Dec 2016	4	2	1	7
Jan 2017	18	12	2	32
Feb 2017	103	31	4	138
Mar 2017	138	61	8	207
Apr 2017	27	34	2	63
May 2017	39	28	4	71
Jun 2017	38	14	8	60
Jul 2017	27	17	5	49
Aug 2017	25	20	5	50
Sep 2017	25	16	5	46
Oct 2017	16	16	2	34
Nov 2017	18	20	5	43
Dec 2017	25	14	5	44
Jan 2018	18	14	4	36
Feb 2018	21	15	5	41
Mar 2018	20	35	6	61
Apr 2018	15	17	5	37
May 2018	22	11	6	39
Jun 2018	17	18	4	39
Jul 2018	5	8	5	18
Aug 2018	25	15	7	47
Sep 2018	23	12	5	40
Oct 2018	22	12	8	42
Nov 2018	15	15	10	40
Dec 2018	12	16	9	37
Jan 2019	13	8	6	27
Feb 2019	16	4	5	25
Mar 2019	17	12	6	35
Apr 2019	17	7	6	30
May 2019	25	13	7	45
Jun 2019	24	8	6	38
Jul 2019	17	14	5	36
Aug 2019	17	12	1	30
Sep 2019	22	10	5	37
Oct 2019	16	5	7	28
Nov 2019	18	6	1	25
Dec 2019	18	8	0	26
Jan 2020	19	12	2	33
Feb 2020	21	17	3	41
Mar 2020	18	8	0	26
Apr 2020	30	10	0	40
May 2020	16	15	2	33
Jun 2020	28	20	4	52
Jul 2020	36	19	7	62
Aug 2020	23	12	4	39
Sep 2020	20	7	3	30
Oct 2020	14	13	1	28
Nov 2020	17	13	4	34
Dec 2020	18	12	4	34
Jan 2021	31	22	1	54
Feb 2021	33	25	2	60
Mar 2021	33	20	4	57
Apr 2021	33	16	4	53
May 2021	39	17	3	59
Jun 2021	32	18	7	57
Jul 2021	29	18	9	56
Aug 2021	26	20	7	53
Sep 2021	38	22	7	67
Oct 2021	33	36	0	69
Nov 2021	44	52	0	96
Dec 2021	31	22	4	57
Jan 2022	44	23	2	69
Feb 2022	26	27	2	55
Mar 2022	24	13	3	40
Apr 2022	30	26	1	57
May 2022	19	12	1	32
Jun 2022	14	9	2	25
Jul 2022	30	16	0	46
Aug 2022	26	14	0	40
Sep 2022	28	27	0	55
Oct 2022	25	17	7	49
Nov 2022	40	26	0	66
Dec 2022	24	15	0	39
Jan 2023	27	15	1	43
Feb 2023	33	21	0	54
Mar 2023	56	34	1	91
Apr 2023	38	35	0	73
May 2023	47	25	0	72
Jun 2023	63	27	1	91
Jul 2023	69	24	1	94
Aug 2023	73	29	5	107
Sep 2023	74	29	0	103
Oct 2023	64	19	2	85
Nov 2023	35	10	1	46
Dec 2023	67	20	1	88
Jan 2024	59	29	1	89
Feb 2024	60	23	0	83
Mar 2024	73	38	3	114
Apr 2024	84	26	4	114
May 2024	32	27	1	60
Jun 2024	75	22	2	99
Jul 2024	36	23	1	60
Aug 2024	40	28	2	70
Sep 2024	32	21	0	53
Oct 2024	57	27	2	86
Nov 2024	24	11	3	38
Dec 2024	25	26	2	53
Jan 2025	37	19	0	56
Feb 2025	42	15	0	57
Mar 2025	37	12	3	52
Apr 2025	41	17	1	59
May 2025	44	14	2	60
Jun 2025	69	16	3	88
Jul 2025	40	30	2	72
Aug 2025	71	25	1	97
Sep 2025	104	21	1	126
Oct 2025	50	36	0	86
Nov 2025	46	18	5	69

Latest update: 26 Nov 2025

Short summary

Biomass burning emission injection heights are an important source of uncertainty in global climate and atmospheric composition modelling. This work provides a global daily data set of injection heights computed by two very different algorithms, which coherently complete a global biomass burning emissions database. The two data sets were compared and validated against observations, and their use was found to improve forecasts of carbonaceous aerosols in two case studies.