Inventory of African desert dust events in the north-central Iberian
Peninsula in 2003–2014 based on sun-photometer–AERONET and particulate-mass–EMEP data

Cachorro, Victoria E.; Burgos, Maria A.; Mateos, David; Toledano, Carlos; Bennouna, Yasmine; Torres, Benjamín; de Frutos, Ángel M.; Herguedas, Álvaro

doi:10.5194/acp-16-8227-2016

Articles | Volume 16, issue 13

https://doi.org/10.5194/acp-16-8227-2016

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

https://doi.org/10.5194/acp-16-8227-2016

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

Articles | Volume 16, issue 13

Research article

|

08 Jul 2016

Research article |

| 08 Jul 2016

Inventory of African desert dust events in the north-central Iberian Peninsula in 2003–2014 based on sun-photometer–AERONET and particulate-mass–EMEP data

Victoria E. Cachorro, Maria A. Burgos, David Mateos, Carlos Toledano, Yasmine Bennouna, Benjamín Torres, Ángel M. de Frutos, and Álvaro Herguedas

Viewed

Total article views: 4,416 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
2,967	1,278	171	4,416	450	136	165

HTML: 2,967
PDF: 1,278
XML: 171
Total: 4,416
Supplement: 450
BibTeX: 136
EndNote: 165

Views and downloads (calculated since 19 Feb 2016)

Month	HTML	PDF	XML	Total
Feb 2016	89	65	5	159
Mar 2016	40	20	1	61
Apr 2016	28	4	0	32
May 2016	11	6	0	17
Jun 2016	7	3	2	12
Jul 2016	109	42	1	152
Aug 2016	18	14	1	33
Sep 2016	11	8	1	20
Oct 2016	13	13	0	26
Nov 2016	7	9	0	16
Dec 2016	7	10	0	17
Jan 2017	12	13	1	26
Feb 2017	7	9	0	16
Mar 2017	17	16	1	34
Apr 2017	17	16	0	33
May 2017	18	13	0	31
Jun 2017	16	9	1	26
Jul 2017	13	8	0	21
Aug 2017	8	7	1	16
Sep 2017	11	23	0	34
Oct 2017	11	23	0	34
Nov 2017	10	33	1	44
Dec 2017	10	15	0	25
Jan 2018	10	12	0	22
Feb 2018	13	17	1	31
Mar 2018	10	19	1	30
Apr 2018	9	27	1	37
May 2018	10	17	1	28
Jun 2018	10	20	2	32
Jul 2018	4	13	0	17
Aug 2018	19	23	2	44
Sep 2018	4	12	0	16
Oct 2018	13	14	3	30
Nov 2018	14	18	1	33
Dec 2018	6	10	0	16
Jan 2019	8	10	4	22
Feb 2019	6	5	0	11
Mar 2019	3	8	0	11
Apr 2019	8	9	2	19
May 2019	8	12	0	20
Jun 2019	26	16	0	42
Jul 2019	25	14	5	44
Aug 2019	37	8	2	47
Sep 2019	21	9	0	30
Oct 2019	25	7	8	40
Nov 2019	24	5	0	29
Dec 2019	33	5	1	39
Jan 2020	27	5	2	34
Feb 2020	22	6	1	29
Mar 2020	18	1	0	19
Apr 2020	24	6	0	30
May 2020	29	5	0	34
Jun 2020	22	13	0	35
Jul 2020	15	14	6	35
Aug 2020	11	20	3	34
Sep 2020	11	10	2	23
Oct 2020	6	3	0	9
Nov 2020	2	2	1	5
Dec 2020	6	6	0	12
Jan 2021	15	8	2	25
Feb 2021	15	9	0	24
Mar 2021	37	3	0	40
Apr 2021	32	11	3	46
May 2021	38	8	2	48
Jun 2021	32	5	0	37
Jul 2021	38	9	0	47
Aug 2021	9	11	0	20
Sep 2021	21	7	0	28
Oct 2021	32	25	0	57
Nov 2021	33	13	3	49
Dec 2021	42	6	0	48
Jan 2022	36	9	4	49
Feb 2022	32	6	1	39
Mar 2022	36	6	0	42
Apr 2022	36	7	1	44
May 2022	29	8	0	37
Jun 2022	34	7	1	42
Jul 2022	30	2	0	32
Aug 2022	38	1	0	39
Sep 2022	31	4	2	37
Oct 2022	33	3	1	37
Nov 2022	40	13	0	53
Dec 2022	33	8	2	43
Jan 2023	35	9	0	44
Feb 2023	42	5	0	47
Mar 2023	44	9	1	54
Apr 2023	35	9	2	46
May 2023	57	8	0	65
Jun 2023	67	3	2	72
Jul 2023	70	8	1	79
Aug 2023	48	3	3	54
Sep 2023	51	4	2	57
Oct 2023	59	11	1	71
Nov 2023	25	1	1	27
Dec 2023	44	12	2	58
Jan 2024	50	1	2	53
Feb 2024	35	9	0	44
Mar 2024	33	14	0	47
Apr 2024	45	9	3	57
May 2024	7	8	2	17
Jun 2024	15	12	2	29
Jul 2024	20	8	6	34
Aug 2024	25	8	7	40
Sep 2024	16	4	4	24
Oct 2024	34	4	0	38
Nov 2024	17	7	3	27
Dec 2024	21	4	1	26
Jan 2025	25	6	5	36
Feb 2025	29	15	9	53
Mar 2025	13	4	2	19
Apr 2025	23	16	3	42
May 2025	16	8	0	24
Jun 2025	47	11	4	62
Jul 2025	28	8	0	36
Aug 2025	36	12	5	53
Sep 2025	33	11	2	46
Oct 2025	15	29	3	47
Nov 2025	22	17	6	45
Dec 2025	4	2	0	6

Cumulative views and downloads (calculated since 19 Feb 2016)

Month	HTML	PDF	XML	Total
Feb 2016	89	65	5	159
Mar 2016	40	20	1	61
Apr 2016	28	4	0	32
May 2016	11	6	0	17
Jun 2016	7	3	2	12
Jul 2016	109	42	1	152
Aug 2016	18	14	1	33
Sep 2016	11	8	1	20
Oct 2016	13	13	0	26
Nov 2016	7	9	0	16
Dec 2016	7	10	0	17
Jan 2017	12	13	1	26
Feb 2017	7	9	0	16
Mar 2017	17	16	1	34
Apr 2017	17	16	0	33
May 2017	18	13	0	31
Jun 2017	16	9	1	26
Jul 2017	13	8	0	21
Aug 2017	8	7	1	16
Sep 2017	11	23	0	34
Oct 2017	11	23	0	34
Nov 2017	10	33	1	44
Dec 2017	10	15	0	25
Jan 2018	10	12	0	22
Feb 2018	13	17	1	31
Mar 2018	10	19	1	30
Apr 2018	9	27	1	37
May 2018	10	17	1	28
Jun 2018	10	20	2	32
Jul 2018	4	13	0	17
Aug 2018	19	23	2	44
Sep 2018	4	12	0	16
Oct 2018	13	14	3	30
Nov 2018	14	18	1	33
Dec 2018	6	10	0	16
Jan 2019	8	10	4	22
Feb 2019	6	5	0	11
Mar 2019	3	8	0	11
Apr 2019	8	9	2	19
May 2019	8	12	0	20
Jun 2019	26	16	0	42
Jul 2019	25	14	5	44
Aug 2019	37	8	2	47
Sep 2019	21	9	0	30
Oct 2019	25	7	8	40
Nov 2019	24	5	0	29
Dec 2019	33	5	1	39
Jan 2020	27	5	2	34
Feb 2020	22	6	1	29
Mar 2020	18	1	0	19
Apr 2020	24	6	0	30
May 2020	29	5	0	34
Jun 2020	22	13	0	35
Jul 2020	15	14	6	35
Aug 2020	11	20	3	34
Sep 2020	11	10	2	23
Oct 2020	6	3	0	9
Nov 2020	2	2	1	5
Dec 2020	6	6	0	12
Jan 2021	15	8	2	25
Feb 2021	15	9	0	24
Mar 2021	37	3	0	40
Apr 2021	32	11	3	46
May 2021	38	8	2	48
Jun 2021	32	5	0	37
Jul 2021	38	9	0	47
Aug 2021	9	11	0	20
Sep 2021	21	7	0	28
Oct 2021	32	25	0	57
Nov 2021	33	13	3	49
Dec 2021	42	6	0	48
Jan 2022	36	9	4	49
Feb 2022	32	6	1	39
Mar 2022	36	6	0	42
Apr 2022	36	7	1	44
May 2022	29	8	0	37
Jun 2022	34	7	1	42
Jul 2022	30	2	0	32
Aug 2022	38	1	0	39
Sep 2022	31	4	2	37
Oct 2022	33	3	1	37
Nov 2022	40	13	0	53
Dec 2022	33	8	2	43
Jan 2023	35	9	0	44
Feb 2023	42	5	0	47
Mar 2023	44	9	1	54
Apr 2023	35	9	2	46
May 2023	57	8	0	65
Jun 2023	67	3	2	72
Jul 2023	70	8	1	79
Aug 2023	48	3	3	54
Sep 2023	51	4	2	57
Oct 2023	59	11	1	71
Nov 2023	25	1	1	27
Dec 2023	44	12	2	58
Jan 2024	50	1	2	53
Feb 2024	35	9	0	44
Mar 2024	33	14	0	47
Apr 2024	45	9	3	57
May 2024	7	8	2	17
Jun 2024	15	12	2	29
Jul 2024	20	8	6	34
Aug 2024	25	8	7	40
Sep 2024	16	4	4	24
Oct 2024	34	4	0	38
Nov 2024	17	7	3	27
Dec 2024	21	4	1	26
Jan 2025	25	6	5	36
Feb 2025	29	15	9	53
Mar 2025	13	4	2	19
Apr 2025	23	16	3	42
May 2025	16	8	0	24
Jun 2025	47	11	4	62
Jul 2025	28	8	0	36
Aug 2025	36	12	5	53
Sep 2025	33	11	2	46
Oct 2025	15	29	3	47
Nov 2025	22	17	6	45
Dec 2025	4	2	0	6

Latest update: 06 Dec 2025

Download

Article (6079 KB)
Full-text XML

Short summary

This study presents the first desert dust (DD) long-term inventory simultaneously using columnar aerosol optical depth (AOD) and the Ångström exponent and surface particulate-matter (PM) concentrations. The DD contribution to the aerosol load is evaluated in the period 2003–2014 for columnar and surface data, analysing the correlation between DD contributions to AOD and PM₁₀. Saharan mineral dust can explain up to 30 % of the total aerosol load decrease observed in the study area.