Will a perfect model agree with perfect observations? The impact of spatial sampling

Schutgens, Nick A. J.; Gryspeerdt, Edward; Weigum, Natalie; Tsyro, Svetlana; Goto, Daisuke; Schulz, Michael; Stier, Philip

doi:10.5194/acp-16-6335-2016

Articles | Volume 16, issue 10

https://doi.org/10.5194/acp-16-6335-2016

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

https://doi.org/10.5194/acp-16-6335-2016

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

Articles | Volume 16, issue 10

Research article

| Highlight paper

|

24 May 2016

Research article | Highlight paper |

| 24 May 2016

Will a perfect model agree with perfect observations? The impact of spatial sampling

Nick A. J. Schutgens, Edward Gryspeerdt, Natalie Weigum, Svetlana Tsyro, Daisuke Goto, Michael Schulz, and Philip Stier

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Total article views: 8,859 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
6,687	1,984	188	8,859	189	246

HTML: 6,687
PDF: 1,984
XML: 188
Total: 8,859
BibTeX: 189
EndNote: 246

Views and downloads (calculated since 19 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	226	108	3	337
Feb 2016	89	32	2	123
Mar 2016	34	11	1	46
Apr 2016	22	9	0	31
May 2016	508	213	8	729
Jun 2016	223	92	5	320
Jul 2016	100	42	3	145
Aug 2016	123	42	1	166
Sep 2016	54	24	2	80
Oct 2016	33	15	0	48
Nov 2016	23	14	0	37
Dec 2016	22	10	0	32
Jan 2017	38	19	1	58
Feb 2017	38	13	2	53
Mar 2017	62	28	5	95
Apr 2017	66	21	5	92
May 2017	71	23	8	102
Jun 2017	56	21	4	81
Jul 2017	36	18	0	54
Aug 2017	36	20	1	57
Sep 2017	35	17	1	53
Oct 2017	29	18	0	47
Nov 2017	33	18	2	53
Dec 2017	27	12	0	39
Jan 2018	25	14	0	39
Feb 2018	33	12	1	46
Mar 2018	40	23	0	63
Apr 2018	23	9	0	32
May 2018	24	18	2	44
Jun 2018	23	16	0	39
Jul 2018	21	11	0	32
Aug 2018	35	21	2	58
Sep 2018	23	16	1	40
Oct 2018	39	13	2	54
Nov 2018	21	14	1	36
Dec 2018	15	6	1	22
Jan 2019	15	8	3	26
Feb 2019	13	2	0	15
Mar 2019	45	9	0	54
Apr 2019	42	9	0	51
May 2019	45	9	1	55
Jun 2019	33	10	0	43
Jul 2019	54	10	2	66
Aug 2019	50	4	0	54
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Oct 2019	55	8	2	65
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Dec 2019	41	8	0	49
Jan 2020	47	8	0	55
Feb 2020	53	9	3	65
Mar 2020	73	2	6	81
Apr 2020	71	7	0	78
May 2020	92	12	2	106
Jun 2020	51	17	0	68
Jul 2020	73	17	4	94
Aug 2020	78	10	4	92
Sep 2020	76	10	2	88
Oct 2020	41	9	0	50
Nov 2020	36	8	1	45
Dec 2020	61	9	3	73
Jan 2021	77	11	1	89
Feb 2021	74	9	0	83
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Apr 2021	81	12	5	98
May 2021	80	14	1	95
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Jul 2021	67	12	0	79
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Feb 2022	51	15	3	69
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Apr 2022	44	8	0	52
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Dec 2022	59	12	0	71
Jan 2023	56	17	0	73
Feb 2023	54	8	0	62
Mar 2023	72	26	0	98
Apr 2023	44	20	0	64
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Jun 2023	85	5	1	91
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Sep 2023	90	14	1	105
Oct 2023	106	7	1	114
Nov 2023	56	4	0	60
Dec 2023	58	11	5	74
Jan 2024	47	11	0	58
Feb 2024	43	11	0	54
Mar 2024	57	22	1	80
Apr 2024	47	19	3	69
May 2024	15	24	1	40
Jun 2024	38	15	2	55
Jul 2024	18	8	3	29
Aug 2024	36	8	9	53
Sep 2024	13	7	5	25
Oct 2024	26	3	1	30
Nov 2024	10	7	2	19
Dec 2024	31	7	2	40
Jan 2025	32	13	2	47
Feb 2025	36	9	1	46
Mar 2025	22	15	2	39
Apr 2025	24	8	1	33
May 2025	47	13	1	61
Jun 2025	58	18	2	78
Jul 2025	46	16	0	62
Aug 2025	60	20	3	83
Sep 2025	74	16	3	93
Oct 2025	44	34	0	78
Nov 2025	40	19	5	64
Dec 2025	4	4	0	8

Cumulative views and downloads (calculated since 19 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	226	108	3	337
Feb 2016	89	32	2	123
Mar 2016	34	11	1	46
Apr 2016	22	9	0	31
May 2016	508	213	8	729
Jun 2016	223	92	5	320
Jul 2016	100	42	3	145
Aug 2016	123	42	1	166
Sep 2016	54	24	2	80
Oct 2016	33	15	0	48
Nov 2016	23	14	0	37
Dec 2016	22	10	0	32
Jan 2017	38	19	1	58
Feb 2017	38	13	2	53
Mar 2017	62	28	5	95
Apr 2017	66	21	5	92
May 2017	71	23	8	102
Jun 2017	56	21	4	81
Jul 2017	36	18	0	54
Aug 2017	36	20	1	57
Sep 2017	35	17	1	53
Oct 2017	29	18	0	47
Nov 2017	33	18	2	53
Dec 2017	27	12	0	39
Jan 2018	25	14	0	39
Feb 2018	33	12	1	46
Mar 2018	40	23	0	63
Apr 2018	23	9	0	32
May 2018	24	18	2	44
Jun 2018	23	16	0	39
Jul 2018	21	11	0	32
Aug 2018	35	21	2	58
Sep 2018	23	16	1	40
Oct 2018	39	13	2	54
Nov 2018	21	14	1	36
Dec 2018	15	6	1	22
Jan 2019	15	8	3	26
Feb 2019	13	2	0	15
Mar 2019	45	9	0	54
Apr 2019	42	9	0	51
May 2019	45	9	1	55
Jun 2019	33	10	0	43
Jul 2019	54	10	2	66
Aug 2019	50	4	0	54
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Jan 2020	47	8	0	55
Feb 2020	53	9	3	65
Mar 2020	73	2	6	81
Apr 2020	71	7	0	78
May 2020	92	12	2	106
Jun 2020	51	17	0	68
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Nov 2020	36	8	1	45
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Jan 2021	77	11	1	89
Feb 2021	74	9	0	83
Mar 2021	74	9	3	86
Apr 2021	81	12	5	98
May 2021	80	14	1	95
Jun 2021	90	16	1	107
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Jan 2022	57	16	3	76
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Oct 2022	46	4	0	50
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Dec 2022	59	12	0	71
Jan 2023	56	17	0	73
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Mar 2023	72	26	0	98
Apr 2023	44	20	0	64
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Jun 2023	85	5	1	91
Jul 2023	86	7	1	94
Aug 2023	79	6	3	88
Sep 2023	90	14	1	105
Oct 2023	106	7	1	114
Nov 2023	56	4	0	60
Dec 2023	58	11	5	74
Jan 2024	47	11	0	58
Feb 2024	43	11	0	54
Mar 2024	57	22	1	80
Apr 2024	47	19	3	69
May 2024	15	24	1	40
Jun 2024	38	15	2	55
Jul 2024	18	8	3	29
Aug 2024	36	8	9	53
Sep 2024	13	7	5	25
Oct 2024	26	3	1	30
Nov 2024	10	7	2	19
Dec 2024	31	7	2	40
Jan 2025	32	13	2	47
Feb 2025	36	9	1	46
Mar 2025	22	15	2	39
Apr 2025	24	8	1	33
May 2025	47	13	1	61
Jun 2025	58	18	2	78
Jul 2025	46	16	0	62
Aug 2025	60	20	3	83
Sep 2025	74	16	3	93
Oct 2025	44	34	0	78
Nov 2025	40	19	5	64
Dec 2025	4	4	0	8

Latest update: 06 Dec 2025

Short summary

We show that evaluating global aerosol model data with observations of very different spatial scales (200 vs. 10 km) can lead to large discrepancies, solely due to different spatial sampling. Strategies for reducing these sampling errors are developed and tested using a set of high-resolution model simulations.