Degree of ice particle surface roughness inferred from polarimetric  observations

Hioki, Souichiro; Yang, Ping; Baum, Bryan A.; Platnick, Steven; Meyer, Kerry G.; King, Michael D.; Riedi, Jerome

doi:10.5194/acp-16-7545-2016

Articles | Volume 16, issue 12

https://doi.org/10.5194/acp-16-7545-2016

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

https://doi.org/10.5194/acp-16-7545-2016

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

Articles | Volume 16, issue 12

Research article

|

21 Jun 2016

Research article |

| 21 Jun 2016

Degree of ice particle surface roughness inferred from polarimetric observations

Souichiro Hioki, Ping Yang, Bryan A. Baum, Steven Platnick, Kerry G. Meyer, Michael D. King, and Jerome Riedi

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Oct 2024	16	10	2	28
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Jan 2025	11	6	1	18
Feb 2025	22	12	3	37
Mar 2025	20	10	0	30
Apr 2025	12	14	2	28
May 2025	28	12	0	40
Jun 2025	35	12	3	50
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Aug 2025	28	16	2	46
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Cumulative views and downloads (calculated since 07 Dec 2015)

Month	HTML	PDF	XML	Total
Dec 2015	62	82	14	158
Jan 2016	34	26	2	62
Feb 2016	16	5	2	23
Mar 2016	14	7	1	22
Apr 2016	5	5	0	10
May 2016	8	8	1	17
Jun 2016	89	40	0	129
Jul 2016	32	10	3	45
Aug 2016	15	12	0	27
Sep 2016	15	12	1	28
Oct 2016	18	8	0	26
Nov 2016	7	2	0	9
Dec 2016	5	4	0	9
Jan 2017	18	10	1	29
Feb 2017	13	6	1	20
Mar 2017	24	11	1	36
Apr 2017	28	20	0	48
May 2017	27	16	0	43
Jun 2017	24	5	2	31
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Aug 2017	12	9	2	23
Sep 2017	10	12	1	23
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Feb 2023	15	3	2	20
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Apr 2023	6	5	0	11
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Jun 2023	40	6	1	47
Jul 2023	37	5	1	43
Aug 2023	36	9	3	48
Sep 2023	37	3	2	42
Oct 2023	40	11	1	52
Nov 2023	26	0	26
Dec 2023	45	5	2	52
Jan 2024	39	6	1	46
Feb 2024	35	7	0	42
Mar 2024	38	14	2	54
Apr 2024	41	8	1	50
May 2024	13	9	2	24
Jun 2024	15	6	1	22
Jul 2024	8	9	3	20
Aug 2024	16	7	2	25
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Oct 2024	16	10	2	28
Nov 2024	6	5	3	14
Dec 2024	7	11	0	18
Jan 2025	11	6	1	18
Feb 2025	22	12	3	37
Mar 2025	20	10	0	30
Apr 2025	12	14	2	28
May 2025	28	12	0	40
Jun 2025	35	12	3	50
Jul 2025	23	13	2	38
Aug 2025	28	16	2	46
Sep 2025	21	10	1	32
Oct 2025	30	20	0	50
Nov 2025	4	14	2	20

Latest update: 08 Nov 2025

Short summary

The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from multi-directional, multi-spectral satellite polarimetric observations over oceans, assuming a column-aggregate particle habit. An improved roughness inference scheme is employed, which provides a more noise-resilient roughness estimate than the conventional approach. A global one-month data sample shows the use and the limit of a severely roughened ice habit to simulate the polarized reflectivity.