Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Besic, Nikola; Figueras i Ventura, Jordi; Grazioli, Jacopo; Gabella, Marco; Germann, Urs; Berne, Alexis

doi:10.5194/amt-9-4425-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/amt-9-4425-2016

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

https://doi.org/10.5194/amt-9-4425-2016

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

Articles | Volume 9, issue 9

Research article

|

08 Sep 2016

Research article |

| 08 Sep 2016

Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Nikola Besic, Jordi Figueras i Ventura, Jacopo Grazioli, Marco Gabella, Urs Germann, and Alexis Berne

Viewed

Total article views: 5,697 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
3,298	2,193	206	5,697	202	192

HTML: 3,298
PDF: 2,193
XML: 206
Total: 5,697
BibTeX: 202
EndNote: 192

Views and downloads (calculated since 30 Mar 2016)

Month	HTML	PDF	XML	Total
Mar 2016	15	4	1	20
Apr 2016	79	25	0	104
May 2016	57	13	2	72
Jun 2016	16	3	2	21
Jul 2016	29	5	3	37
Aug 2016	26	4	0	30
Sep 2016	113	31	4	148
Oct 2016	30	12	2	44
Nov 2016	18	5	0	23
Dec 2016	11	2	2	15
Jan 2017	18	12	1	31
Feb 2017	15	5	0	20
Mar 2017	32	16	5	53
Apr 2017	36	15	2	53
May 2017	28	19	2	49
Jun 2017	138	88	3	229
Jul 2017	72	30	0	102
Aug 2017	46	26	2	74
Sep 2017	15	25	0	40
Oct 2017	20	20	3	43
Nov 2017	12	28	1	41
Dec 2017	25	21	0	46
Jan 2018	14	27	1	42
Feb 2018	11	24	1	36
Mar 2018	17	27	2	46
Apr 2018	23	32	6	61
May 2018	27	22	0	49
Jun 2018	14	23	4	41
Jul 2018	9	26	0	35
Aug 2018	26	24	1	51
Sep 2018	25	22	2	49
Oct 2018	10	18	0	28
Nov 2018	13	20	0	33
Dec 2018	18	9	1	28
Jan 2019	10	14	0	24
Feb 2019	7	13	0	20
Mar 2019	9	23	4	36
Apr 2019	17	21	0	38
May 2019	10	20	1	31
Jun 2019	14	15	2	31
Jul 2019	14	17	0	31
Aug 2019	10	17	0	27
Sep 2019	11	20	4	35
Oct 2019	13	23	1	37
Nov 2019	13	25	0	38
Dec 2019	10	18	0	28
Jan 2020	6	10	2	18
Feb 2020	6	8	0	14
Mar 2020	8	8	1	17
Apr 2020	11	11	1	23
May 2020	10	7	0	17
Jun 2020	15	16	1	32
Jul 2020	29	26	7	62
Aug 2020	15	19	4	38
Sep 2020	14	18	0	32
Oct 2020	12	11	0	23
Nov 2020	17	24	0	41
Dec 2020	14	15	3	32
Jan 2021	25	23	0	48
Feb 2021	19	13	1	33
Mar 2021	31	32	2	65
Apr 2021	19	16	2	37
May 2021	12	12	3	27
Jun 2021	19	15	0	34
Jul 2021	12	12	1	25
Aug 2021	9	26	6	41
Sep 2021	16	10	0	26
Oct 2021	18	45	1	64
Nov 2021	11	35	5	51
Dec 2021	26	17	4	47
Jan 2022	26	16	2	44
Feb 2022	19	14	0	33
Mar 2022	42	28	3	73
Apr 2022	33	16	6	55
May 2022	42	27	2	71
Jun 2022	17	17	2	36
Jul 2022	15	28	0	43
Aug 2022	20	17	0	37
Sep 2022	17	13	10	40
Oct 2022	25	26	1	52
Nov 2022	28	28	2	58
Dec 2022	20	19	2	41
Jan 2023	31	38	4	73
Feb 2023	40	24	2	66
Mar 2023	51	22	0	73
Apr 2023	19	30	3	52
May 2023	50	22	1	73
Jun 2023	66	24	3	93
Jul 2023	50	18	1	69
Aug 2023	43	14	2	59
Sep 2023	40	15	1	56
Oct 2023	60	18	2	80
Nov 2023	23	10	0	33
Dec 2023	52	17	1	70
Jan 2024	41	5	0	46
Feb 2024	44	20	1	65
Mar 2024	62	22	5	89
Apr 2024	65	26	7	98
May 2024	29	31	5	65
Jun 2024	28	11	2	41
Jul 2024	34	14	3	51
Aug 2024	54	10	2	66
Sep 2024	34	5	0	39
Oct 2024	29	9	0	38
Nov 2024	24	8	3	35
Dec 2024	17	9	0	26
Jan 2025	36	11	2	49
Feb 2025	40	10	3	53
Mar 2025	28	13	0	41
Apr 2025	31	19	1	51
May 2025	34	9	3	46
Jun 2025	57	25	0	82
Jul 2025	33	30	4	67
Aug 2025	43	12	3	58
Sep 2025	57	21	1	79
Oct 2025	55	29	2	86
Nov 2025	24	5	0	29

Cumulative views and downloads (calculated since 30 Mar 2016)

Month	HTML	PDF	XML	Total
Mar 2016	15	4	1	20
Apr 2016	79	25	0	104
May 2016	57	13	2	72
Jun 2016	16	3	2	21
Jul 2016	29	5	3	37
Aug 2016	26	4	0	30
Sep 2016	113	31	4	148
Oct 2016	30	12	2	44
Nov 2016	18	5	0	23
Dec 2016	11	2	2	15
Jan 2017	18	12	1	31
Feb 2017	15	5	0	20
Mar 2017	32	16	5	53
Apr 2017	36	15	2	53
May 2017	28	19	2	49
Jun 2017	138	88	3	229
Jul 2017	72	30	0	102
Aug 2017	46	26	2	74
Sep 2017	15	25	0	40
Oct 2017	20	20	3	43
Nov 2017	12	28	1	41
Dec 2017	25	21	0	46
Jan 2018	14	27	1	42
Feb 2018	11	24	1	36
Mar 2018	17	27	2	46
Apr 2018	23	32	6	61
May 2018	27	22	0	49
Jun 2018	14	23	4	41
Jul 2018	9	26	0	35
Aug 2018	26	24	1	51
Sep 2018	25	22	2	49
Oct 2018	10	18	0	28
Nov 2018	13	20	0	33
Dec 2018	18	9	1	28
Jan 2019	10	14	0	24
Feb 2019	7	13	0	20
Mar 2019	9	23	4	36
Apr 2019	17	21	0	38
May 2019	10	20	1	31
Jun 2019	14	15	2	31
Jul 2019	14	17	0	31
Aug 2019	10	17	0	27
Sep 2019	11	20	4	35
Oct 2019	13	23	1	37
Nov 2019	13	25	0	38
Dec 2019	10	18	0	28
Jan 2020	6	10	2	18
Feb 2020	6	8	0	14
Mar 2020	8	8	1	17
Apr 2020	11	11	1	23
May 2020	10	7	0	17
Jun 2020	15	16	1	32
Jul 2020	29	26	7	62
Aug 2020	15	19	4	38
Sep 2020	14	18	0	32
Oct 2020	12	11	0	23
Nov 2020	17	24	0	41
Dec 2020	14	15	3	32
Jan 2021	25	23	0	48
Feb 2021	19	13	1	33
Mar 2021	31	32	2	65
Apr 2021	19	16	2	37
May 2021	12	12	3	27
Jun 2021	19	15	0	34
Jul 2021	12	12	1	25
Aug 2021	9	26	6	41
Sep 2021	16	10	0	26
Oct 2021	18	45	1	64
Nov 2021	11	35	5	51
Dec 2021	26	17	4	47
Jan 2022	26	16	2	44
Feb 2022	19	14	0	33
Mar 2022	42	28	3	73
Apr 2022	33	16	6	55
May 2022	42	27	2	71
Jun 2022	17	17	2	36
Jul 2022	15	28	0	43
Aug 2022	20	17	0	37
Sep 2022	17	13	10	40
Oct 2022	25	26	1	52
Nov 2022	28	28	2	58
Dec 2022	20	19	2	41
Jan 2023	31	38	4	73
Feb 2023	40	24	2	66
Mar 2023	51	22	0	73
Apr 2023	19	30	3	52
May 2023	50	22	1	73
Jun 2023	66	24	3	93
Jul 2023	50	18	1	69
Aug 2023	43	14	2	59
Sep 2023	40	15	1	56
Oct 2023	60	18	2	80
Nov 2023	23	10	0	33
Dec 2023	52	17	1	70
Jan 2024	41	5	0	46
Feb 2024	44	20	1	65
Mar 2024	62	22	5	89
Apr 2024	65	26	7	98
May 2024	29	31	5	65
Jun 2024	28	11	2	41
Jul 2024	34	14	3	51
Aug 2024	54	10	2	66
Sep 2024	34	5	0	39
Oct 2024	29	9	0	38
Nov 2024	24	8	3	35
Dec 2024	17	9	0	26
Jan 2025	36	11	2	49
Feb 2025	40	10	3	53
Mar 2025	28	13	0	41
Apr 2025	31	19	1	51
May 2025	34	9	3	46
Jun 2025	57	25	0	82
Jul 2025	33	30	4	67
Aug 2025	43	12	3	58
Sep 2025	57	21	1	79
Oct 2025	55	29	2	86
Nov 2025	24	5	0	29

Latest update: 17 Nov 2025

Short summary

In this paper we propose a novel semi-supervised method for hydrometeor classification, which takes into account both the specificities of acquired polarimetric radar measurements and the presumed electromagnetic behavior of different hydrometeor types. The method has been applied on three datasets, each acquired by different C-band radar from the Swiss network, and on two X-band research radar datasets. The obtained classification is found to be of high quality.