Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations

Baró, Rocío; Jiménez-Guerrero, Pedro; Stengel, Martin; Brunner, Dominik; Curci, Gabriele; Forkel, Renate; Neal, Lucy; Palacios-Peña, Laura; Savage, Nicholas; Schaap, Martijn; Tuccella, Paolo; Denier van der Gon, Hugo; Galmarini, Stefano

doi:10.5194/acp-18-15183-2018

Articles | Volume 18, issue 20

https://doi.org/10.5194/acp-18-15183-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Global and regional assessment of intercontinental transport...

https://doi.org/10.5194/acp-18-15183-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 20

Research article

|

22 Oct 2018

Research article |

| 22 Oct 2018

Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations

Rocío Baró, Pedro Jiménez-Guerrero, Martin Stengel, Dominik Brunner, Gabriele Curci, Renate Forkel, Lucy Neal, Laura Palacios-Peña, Nicholas Savage, Martijn Schaap, Paolo Tuccella, Hugo Denier van der Gon, and Stefano Galmarini

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Jan 2025	30	4	0	34
Feb 2025	28	23	1	52
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Apr 2025	17	12	3	32
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Aug 2025	104	10	1	115
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Cumulative views and downloads (calculated since 12 Feb 2018)

Month	HTML	PDF	XML	Total
Feb 2018	138	47	5	190
Mar 2018	48	20	0	68
Apr 2018	32	3	0	35
May 2018	32	10	1	43
Jun 2018	35	6	1	42
Jul 2018	17	11	0	28
Aug 2018	28	11	2	41
Sep 2018	23	9	0	32
Oct 2018	223	76	5	304
Nov 2018	96	36	3	135
Dec 2018	15	12	2	29
Jan 2019	13	16	1	30
Feb 2019	20	3	0	23
Mar 2019	18	13	0	31
Apr 2019	8	6	0	14
May 2019	28	13	0	41
Jun 2019	29	8	0	37
Jul 2019	8	7	0	15
Aug 2019	9	13	1	23
Sep 2019	9	12	0	21
Oct 2019	38	15	1	54
Nov 2019	10	4	0	14
Dec 2019	10	3	0	13
Jan 2020	12	7	1	20
Feb 2020	12	6	1	19
Mar 2020	3	5	0	8
Apr 2020	19	5	0	24
May 2020	13	9	2	24
Jun 2020	19	13	0	32
Jul 2020	15	11	3	29
Aug 2020	11	39	3	53
Sep 2020	19	26	1	46
Oct 2020	19	9	0	28
Nov 2020	25	13	1	39
Dec 2020	17	5	0	22
Jan 2021	31	8	0	39
Feb 2021	20	6	1	27
Mar 2021	27	9	0	36
Apr 2021	31	5	0	36
May 2021	49	8	2	59
Jun 2021	25	11	0	36
Jul 2021	28	9	0	37
Aug 2021	28	9	2	39
Sep 2021	34	11	0	45
Oct 2021	26	33	0	59
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Apr 2022	9	11	1	21
May 2022	13	4	0	17
Jun 2022	14	3	1	18
Jul 2022	16	43	0	59
Aug 2022	34	8	1	43
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Oct 2022	8	5	1	14
Nov 2022	12	9	0	21
Dec 2022	10	5	1	16
Jan 2023	11	11	0	22
Feb 2023	25	7	0	32
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Jun 2023	9	1	1	11
Jul 2023	10	8	1	19
Aug 2023	11	5	2	18
Sep 2023	18	8	1	27
Oct 2023	36	10	2	48
Nov 2023	18	2	0	20
Dec 2023	21	6	0	27
Jan 2024	17	2	3	22
Feb 2024	41	9	2	52
Mar 2024	23	18	1	42
Apr 2024	26	13	2	41
May 2024	25	20	4	49
Jun 2024	57	19	1	77
Jul 2024	24	12	1	37
Aug 2024	38	9	2	49
Sep 2024	15	5	0	20
Oct 2024	21	6	1	28
Nov 2024	11	10	1	22
Dec 2024	19	5	4	28
Jan 2025	30	4	0	34
Feb 2025	28	23	1	52
Mar 2025	14	8	0	22
Apr 2025	17	12	3	32
May 2025	23	10	0	33
Jun 2025	39	10	1	50
Jul 2025	24	9	2	35
Aug 2025	104	10	1	115
Sep 2025	103	19	1	123
Oct 2025	20	27	0	47
Nov 2025	60	24	5	89

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Short summary

Particles in the atmosphere, such as pollution, desert dust, and volcanic ash, have an impact on meteorology. They interact with incoming radiation resulting in a cooling effect of the atmosphere. Today, the use of meteorology and chemistry models help us to understand these processes, but there are a lot of uncertainties. The goal of this work is to evaluate how these interactions are represented in the models by comparing them to satellite data to see how close they are to reality.


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