Predicting the mineral composition of dust aerosols – Part 1: Representing key processes

Perlwitz, J. P.; Pérez García-Pando, C.; Miller, R. L.

doi:10.5194/acp-15-11593-2015

Articles | Volume 15, issue 20

https://doi.org/10.5194/acp-15-11593-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-11593-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 20

Research article

|

21 Oct 2015

Research article |

| 21 Oct 2015

Predicting the mineral composition of dust aerosols – Part 1: Representing key processes

J. P. Perlwitz, C. Pérez García-Pando, and R. L. Miller

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Views and downloads (calculated since 06 Feb 2015)

Month	HTML	PDF	XML	Total
Feb 2015	145	89	7	241
Mar 2015	48	24	7	79
Apr 2015	58	32	9	99
May 2015	43	41	4	88
Jun 2015	29	38	4	71
Jul 2015	33	48	3	84
Aug 2015	17	54	6	77
Sep 2015	12	42	20	74
Oct 2015	135	112	3	250
Nov 2015	125	72	10	207
Dec 2015	55	38	4	97
Jan 2016	61	56	3	120
Feb 2016	48	44	2	94
Mar 2016	33	48	0	81
Apr 2016	10	31	0	41
May 2016	16	18	1	35
Jun 2016	13	4	2	19
Jul 2016	12	7	4	23
Aug 2016	13	5	1	19
Sep 2016	17	5	0	22
Oct 2016	19	8	1	28
Nov 2016	8	6	0	14
Dec 2016	5	7	0	12
Jan 2017	18	1	2	21
Feb 2017	20	3	2	25
Mar 2017	27	6	4	37
Apr 2017	28	11	3	42
May 2017	154	17	1	172
Jun 2017	94	4	3	101
Jul 2017	28	8	2	38
Aug 2017	11	18	2	31
Sep 2017	10	6	1	17
Oct 2017	7	7	1	15
Nov 2017	18	11	6	35
Dec 2017	14	6	0	20
Jan 2018	12	9	0	21
Feb 2018	7	7	0	14
Mar 2018	12	13	0	25
Apr 2018	8	8	1	17
May 2018	14	19	1	34
Jun 2018	20	16	0	36
Jul 2018	19	14	3	36
Aug 2018	16	17	0	33
Sep 2018	14	13	1	28
Oct 2018	15	13	1	29
Nov 2018	19	15	7	41
Dec 2018	12	10	3	25
Jan 2019	7	5	1	13
Feb 2019	11	15	0	26
Mar 2019	14	9	0	23
Apr 2019	6	5	2	13
May 2019	10	12	1	23
Jun 2019	7	10	0	17
Jul 2019	8	10	0	18
Aug 2019	6	5	0	11
Sep 2019	11	12	0	23
Oct 2019	8	12	1	21
Nov 2019	11	9	1	21
Dec 2019	6	11	0	17
Jan 2020	15	18	0	33
Feb 2020	7	8	1	16
Mar 2020	6	4	0	10
Apr 2020	9	11	0	20
May 2020	9	5	0	14
Jun 2020	18	5	0	23
Jul 2020	19	10	5	34
Aug 2020	16	9	1	26
Sep 2020	12	9	0	21
Oct 2020	8	5	0	13
Nov 2020	18	7	1	26
Dec 2020	10	7	0	17
Jan 2021	22	19	1	42
Feb 2021	13	6	0	19
Mar 2021	7	11	0	18
Apr 2021	14	16	0	30
May 2021	11	16	1	28
Jun 2021	10	13	3	26
Jul 2021	5	18	1	24
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Sep 2021	9	14	2	25
Oct 2021	11	40	0	51
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Dec 2021	14	11	1	26
Jan 2022	12	19	1	32
Feb 2022	7	6	2	15
Mar 2022	16	12	0	28
Apr 2022	11	3	1	15
May 2022	8	10	0	18
Jun 2022	7	9	1	17
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Dec 2022	17	10	2	29
Jan 2023	51	10	1	62
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Mar 2023	40	20	1	61
Apr 2023	11	8	0	19
May 2023	33	7	0	40
Jun 2023	44	11	1	56
Jul 2023	48	9	1	58
Aug 2023	40	11	2	53
Sep 2023	50	8	1	59
Oct 2023	52	14	3	69
Nov 2023	29	1	0	30
Dec 2023	66	14	2	82
Jan 2024	61	12	0	73
Feb 2024	50	10	0	60
Mar 2024	49	20	1	70
Apr 2024	36	20	3	59
May 2024	23	11	2	36
Jun 2024	21	13	1	35
Jul 2024	24	9	3	36
Aug 2024	33	10	4	47
Sep 2024	19	6	0	25
Oct 2024	32	4	1	37
Nov 2024	15	13	3	31
Dec 2024	22	9	0	31
Jan 2025	44	21	3	68
Feb 2025	67	13	6	86
Mar 2025	56	17	1	74
Apr 2025	44	15	0	59
May 2025	47	14	0	61
Jun 2025	82	5	1	88
Jul 2025	48	17	2	67
Aug 2025	53	28	2	83
Sep 2025	52	20	3	75
Oct 2025	44	20	0	64
Nov 2025	42	28	3	73
Dec 2025	58	38	0	96
Jan 2026	60	28	6	94

Cumulative views and downloads (calculated since 06 Feb 2015)

Month	HTML	PDF	XML	Total
Feb 2015	145	89	7	241
Mar 2015	48	24	7	79
Apr 2015	58	32	9	99
May 2015	43	41	4	88
Jun 2015	29	38	4	71
Jul 2015	33	48	3	84
Aug 2015	17	54	6	77
Sep 2015	12	42	20	74
Oct 2015	135	112	3	250
Nov 2015	125	72	10	207
Dec 2015	55	38	4	97
Jan 2016	61	56	3	120
Feb 2016	48	44	2	94
Mar 2016	33	48	0	81
Apr 2016	10	31	0	41
May 2016	16	18	1	35
Jun 2016	13	4	2	19
Jul 2016	12	7	4	23
Aug 2016	13	5	1	19
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Oct 2016	19	8	1	28
Nov 2016	8	6	0	14
Dec 2016	5	7	0	12
Jan 2017	18	1	2	21
Feb 2017	20	3	2	25
Mar 2017	27	6	4	37
Apr 2017	28	11	3	42
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Jun 2017	94	4	3	101
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Aug 2017	11	18	2	31
Sep 2017	10	6	1	17
Oct 2017	7	7	1	15
Nov 2017	18	11	6	35
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Feb 2018	7	7	0	14
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Oct 2018	15	13	1	29
Nov 2018	19	15	7	41
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Jun 2019	7	10	0	17
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Nov 2022	19	8	1	28
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Jan 2023	51	10	1	62
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Apr 2023	11	8	0	19
May 2023	33	7	0	40
Jun 2023	44	11	1	56
Jul 2023	48	9	1	58
Aug 2023	40	11	2	53
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Oct 2023	52	14	3	69
Nov 2023	29	1	0	30
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Jan 2024	61	12	0	73
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Apr 2024	36	20	3	59
May 2024	23	11	2	36
Jun 2024	21	13	1	35
Jul 2024	24	9	3	36
Aug 2024	33	10	4	47
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Oct 2024	32	4	1	37
Nov 2024	15	13	3	31
Dec 2024	22	9	0	31
Jan 2025	44	21	3	68
Feb 2025	67	13	6	86
Mar 2025	56	17	1	74
Apr 2025	44	15	0	59
May 2025	47	14	0	61
Jun 2025	82	5	1	88
Jul 2025	48	17	2	67
Aug 2025	53	28	2	83
Sep 2025	52	20	3	75
Oct 2025	44	20	0	64
Nov 2025	42	28	3	73
Dec 2025	58	38	0	96
Jan 2026	60	28	6	94

Latest update: 29 Jan 2026

Short summary

The mineral composition of dust aerosols is modeled. The mineral composition is derived by extending a method that provides the composition of wet-sieved soil to account for differences between the mineral fractions of the wet-sieved soil and the resulting aerosol concentration. An empirical constraint upon the relative emission of clay and silt is applied that further differentiates soil and aerosol mineral composition. A method is proposed for mixing minerals with iron oxide impurities.