Effect of aerosol subgrid variability on aerosol optical depth and cloud condensation nuclei: implications for global aerosol modelling

Weigum, Natalie; Schutgens, Nick; Stier, Philip

doi:10.5194/acp-16-13619-2016

Articles | Volume 16, issue 21

https://doi.org/10.5194/acp-16-13619-2016

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

https://doi.org/10.5194/acp-16-13619-2016

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

Articles | Volume 16, issue 21

Research article

|

03 Nov 2016

Research article |

| 03 Nov 2016

Effect of aerosol subgrid variability on aerosol optical depth and cloud condensation nuclei: implications for global aerosol modelling

Natalie Weigum, Nick Schutgens, and Philip Stier

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XML: 139
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Views and downloads (calculated since 23 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	108	32	0	140
Jul 2016	15	6	1	22
Aug 2016	11	7	1	19
Sep 2016	7	6	0	13
Oct 2016	8	2	4	14
Nov 2016	130	33	1	164
Dec 2016	13	9	1	23
Jan 2017	21	12	1	34
Feb 2017	15	7	1	23
Mar 2017	21	10	1	32
Apr 2017	21	9	2	32
May 2017	29	10	0	39
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Jul 2017	21	8	0	29
Aug 2017	15	11	0	26
Sep 2017	8	9	1	18
Oct 2017	13	11	0	24
Nov 2017	13	14	0	27
Dec 2017	10	7	1	18
Jan 2018	10	7	1	18
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Feb 2020	5	6	1	12
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Jun 2023	42	1	1	44
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Oct 2023	49	4	1	54
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Jan 2024	31	1	0	32
Feb 2024	35	3	0	38
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Apr 2024	39	11	7	57
May 2024	14	9	0	23
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Oct 2024	9	5	0	14
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Jan 2025	11	7	1	19
Feb 2025	23	5	5	33
Mar 2025	18	6	2	26
Apr 2025	13	10	1	24
May 2025	14	2	1	17
Jun 2025	38	2	4	44
Jul 2025	29	10	4	43
Aug 2025	48	14	1	63
Sep 2025	30	3	1	34
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Nov 2025	21	12	4	37
Dec 2025	5	5	0	10

Cumulative views and downloads (calculated since 23 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	108	32	0	140
Jul 2016	15	6	1	22
Aug 2016	11	7	1	19
Sep 2016	7	6	0	13
Oct 2016	8	2	4	14
Nov 2016	130	33	1	164
Dec 2016	13	9	1	23
Jan 2017	21	12	1	34
Feb 2017	15	7	1	23
Mar 2017	21	10	1	32
Apr 2017	21	9	2	32
May 2017	29	10	0	39
Jun 2017	18	3	1	22
Jul 2017	21	8	0	29
Aug 2017	15	11	0	26
Sep 2017	8	9	1	18
Oct 2017	13	11	0	24
Nov 2017	13	14	0	27
Dec 2017	10	7	1	18
Jan 2018	10	7	1	18
Feb 2018	9	2	0	11
Mar 2018	12	8	2	22
Apr 2018	3	6	0	9
May 2018	10	7	0	17
Jun 2018	11	13	1	25
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Aug 2018	11	10	0	21
Sep 2018	6	10	3	19
Oct 2018	5	13	1	19
Nov 2018	10	11	1	22
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Jan 2019	4	5	1	10
Feb 2019	4	5	0	9
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Apr 2019	9	12	1	22
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Mar 2023	28	8	0	36
Apr 2023	9	6	0	15
May 2023	30	6	0	36
Jun 2023	42	1	1	44
Jul 2023	42	3	1	46
Aug 2023	40	6	2	48
Sep 2023	41	3	0	44
Oct 2023	49	4	1	54
Nov 2023	25	0	25
Dec 2023	48	6	2	56
Jan 2024	31	1	0	32
Feb 2024	35	3	0	38
Mar 2024	39	6	1	46
Apr 2024	39	11	7	57
May 2024	14	9	0	23
Jun 2024	36	7	25	68
Jul 2024	15	8	3	26
Aug 2024	20	5	6	31
Sep 2024	3	7	0	10
Oct 2024	9	5	0	14
Nov 2024	8	2	2	12
Dec 2024	7	3	1	11
Jan 2025	11	7	1	19
Feb 2025	23	5	5	33
Mar 2025	18	6	2	26
Apr 2025	13	10	1	24
May 2025	14	2	1	17
Jun 2025	38	2	4	44
Jul 2025	29	10	4	43
Aug 2025	48	14	1	63
Sep 2025	30	3	1	34
Oct 2025	23	19	0	42
Nov 2025	21	12	4	37
Dec 2025	5	5	0	10

Latest update: 06 Dec 2025

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Short summary

We introduce a novel technique to isolate the effect of aerosol variability in models from other sources of variability by varying the resolution of aerosol and trace gas fields while maintaining a constant resolution in the rest of the model.

Our results show that aerosol variability has a large impact on simulating aerosol climate effects, even when meteorology and dynamics are fixed. Processes most affected are gas-phase chemistry and aerosol uptake of water through equilibrium reactions.