Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale

Crippa, P.; Sullivan, R. C.; Thota, A.; Pryor, S. C.

doi:10.5194/acp-16-397-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/acp-16-397-2016

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

https://doi.org/10.5194/acp-16-397-2016

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

Articles | Volume 16, issue 1

Research article

|

18 Jan 2016

Research article |

| 18 Jan 2016

Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale

P. Crippa, R. C. Sullivan, A. Thota, and S. C. Pryor

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Total article views: 4,784 (including HTML, PDF, and XML)

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XML: 146
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BibTeX: 155
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Views and downloads (calculated since 08 Oct 2015)

Month	HTML	PDF	XML	Total
Oct 2015	143	119	12	274
Nov 2015	20	26	7	53
Dec 2015	11	21	6	38
Jan 2016	96	47	5	148
Feb 2016	64	56	1	121
Mar 2016	52	57	3	112
Apr 2016	11	42	1	54
May 2016	18	25	0	43
Jun 2016	8	12	2	22
Jul 2016	12	12	3	27
Aug 2016	15	18	1	34
Sep 2016	15	12	1	28
Oct 2016	10	10	0	20
Nov 2016	8	27	0	35
Dec 2016	6	19	1	26
Jan 2017	24	30	3	57
Feb 2017	18	26	0	44
Mar 2017	27	28	2	57
Apr 2017	20	28	0	48
May 2017	28	22	0	50
Jun 2017	28	14	1	43
Jul 2017	28	16	1	45
Aug 2017	8	21	0	29
Sep 2017	10	29	1	40
Oct 2017	14	46	1	61
Nov 2017	14	37	0	51
Dec 2017	13	36	3	52
Jan 2018	18	33	0	51
Feb 2018	11	29	0	40
Mar 2018	8	35	0	43
Apr 2018	12	30	0	42
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Apr 2019	6	42	0	48
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Jul 2024	16	11	1	28
Aug 2024	23	6	4	33
Sep 2024	8	5	0	13
Oct 2024	16	9	1	26
Nov 2024	11	7	2	20
Dec 2024	12	8	3	23
Jan 2025	26	9	3	38
Feb 2025	36	13	3	52
Mar 2025	28	15	3	46
Apr 2025	26	14	0	40
May 2025	23	6	3	32
Jun 2025	49	12	1	62
Jul 2025	26	14	0	40
Aug 2025	32	19	1	52
Sep 2025	29	17	5	51
Oct 2025	31	26	0	57
Nov 2025	27	24	6	57

Cumulative views and downloads (calculated since 08 Oct 2015)

Month	HTML	PDF	XML	Total
Oct 2015	143	119	12	274
Nov 2015	20	26	7	53
Dec 2015	11	21	6	38
Jan 2016	96	47	5	148
Feb 2016	64	56	1	121
Mar 2016	52	57	3	112
Apr 2016	11	42	1	54
May 2016	18	25	0	43
Jun 2016	8	12	2	22
Jul 2016	12	12	3	27
Aug 2016	15	18	1	34
Sep 2016	15	12	1	28
Oct 2016	10	10	0	20
Nov 2016	8	27	0	35
Dec 2016	6	19	1	26
Jan 2017	24	30	3	57
Feb 2017	18	26	0	44
Mar 2017	27	28	2	57
Apr 2017	20	28	0	48
May 2017	28	22	0	50
Jun 2017	28	14	1	43
Jul 2017	28	16	1	45
Aug 2017	8	21	0	29
Sep 2017	10	29	1	40
Oct 2017	14	46	1	61
Nov 2017	14	37	0	51
Dec 2017	13	36	3	52
Jan 2018	18	33	0	51
Feb 2018	11	29	0	40
Mar 2018	8	35	0	43
Apr 2018	12	30	0	42
May 2018	16	25	0	41
Jun 2018	10	34	0	44
Jul 2018	8	30	1	39
Aug 2018	16	25	1	42
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Oct 2018	13	29	1	43
Nov 2018	13	23	0	36
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Jan 2024	39	11	1	51
Feb 2024	43	11	0	54
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Apr 2024	40	7	4	51
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Aug 2024	23	6	4	33
Sep 2024	8	5	0	13
Oct 2024	16	9	1	26
Nov 2024	11	7	2	20
Dec 2024	12	8	3	23
Jan 2025	26	9	3	38
Feb 2025	36	13	3	52
Mar 2025	28	15	3	46
Apr 2025	26	14	0	40
May 2025	23	6	3	32
Jun 2025	49	12	1	62
Jul 2025	26	14	0	40
Aug 2025	32	19	1	52
Sep 2025	29	17	5	51
Oct 2025	31	26	0	57
Nov 2025	27	24	6	57

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Short summary

We evaluate the performance of high-resolution simulations of the Weather Research and Forecasting model coupled with Chemistry in capturing spatiotemporal variability of aerosol optical properties by comparison with ground- and space- based remote-sensing observations and investigate causes of model biases. This work contributes to assessing the model's ability to describe drivers of aerosol direct radiative forcing in the contemporary climate and to improving confidence in future projections.