Hydrometeor classification from polarimetric radar measurements:  a clustering approach

Grazioli, J.; Tuia, D.; Berne, A.

doi:10.5194/amt-8-149-2015

Articles | Volume 8, issue 1

https://doi.org/10.5194/amt-8-149-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-149-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 1

Research article

|

09 Jan 2015

Research article |

| 09 Jan 2015

Hydrometeor classification from polarimetric radar measurements: a clustering approach

J. Grazioli, D. Tuia, and A. Berne

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Views and downloads (calculated since 19 Aug 2014)

Month	HTML	PDF	XML	Total
Aug 2014	60	43	1	104
Sep 2014	34	17	4	55
Oct 2014	23	17	2	42
Nov 2014	32	20	1	53
Dec 2014	36	12	1	49
Jan 2015	80	47	5	132
Feb 2015	55	23	1	79
Mar 2015	42	23	1	66
Apr 2015	71	42	3	116
May 2015	31	34	2	67
Jun 2015	30	30	0	60
Jul 2015	36	41	1	78
Aug 2015	14	35	0	49
Sep 2015	22	31	1	54
Oct 2015	24	29	1	54
Nov 2015	26	22	3	51
Dec 2015	6	30	2	38
Jan 2016	25	28	0	53
Feb 2016	18	12	2	32
Mar 2016	18	8	1	27
Apr 2016	5	17	1	23
May 2016	13	17	0	30
Jun 2016	8	14	1	23
Jul 2016	14	18	3	35
Aug 2016	14	23	1	38
Sep 2016	9	13	1	23
Oct 2016	12	24	0	36
Nov 2016	11	14	0	25
Dec 2016	4	8	0	12
Jan 2017	10	13	0	23
Feb 2017	7	9	0	16
Mar 2017	22	20	3	45
Apr 2017	20	22	2	44
May 2017	18	18	0	36
Jun 2017	26	20	0	46
Jul 2017	20	17	0	37
Aug 2017	9	25	2	36
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Oct 2017	8	28	0	36
Nov 2017	8	26	2	36
Dec 2017	11	30	0	41
Jan 2018	16	38	1	55
Feb 2018	15	45	2	62
Mar 2018	12	30	0	42
Apr 2018	9	22	1	32
May 2018	15	29	5	49
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Jul 2018	4	19	1	24
Aug 2018	13	33	0	46
Sep 2018	14	22	0	36
Oct 2018	11	19	1	31
Nov 2018	7	24	0	31
Dec 2018	11	19	0	30
Jan 2019	5	14	0	19
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Mar 2019	5	18	0	23
Apr 2019	14	24	0	38
May 2019	11	19	0	30
Jun 2019	7	19	0	26
Jul 2019	7	12	0	19
Aug 2019	5	14	1	20
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Nov 2019	6	16	0	22
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Feb 2020	8	6	0	14
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Jan 2023	22	19	2	43
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May 2023	42	18	3	63
Jun 2023	37	6	1	44
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Aug 2023	35	10	1	46
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Jan 2024	42	23	0	65
Feb 2024	33	14	0	47
Mar 2024	43	33	6	82
Apr 2024	44	21	2	67
May 2024	15	15	4	34
Jun 2024	52	26	10	88
Jul 2024	20	28	1	49
Aug 2024	43	14	1	58
Sep 2024	17	22	0	39
Oct 2024	20	16	1	37
Nov 2024	11	13	1	25
Dec 2024	13	14	1	28
Jan 2025	28	15	6	49
Feb 2025	48	13	0	61
Mar 2025	18	22	1	41
Apr 2025	32	21	0	53
May 2025	23	17	3	43
Jun 2025	50	19	0	69
Jul 2025	42	25	3	70
Aug 2025	47	27	3	77
Sep 2025	69	23	1	93
Oct 2025	18	36	1	55
Nov 2025	36	22	4	62

Cumulative views and downloads (calculated since 19 Aug 2014)

Month	HTML	PDF	XML	Total
Aug 2014	60	43	1	104
Sep 2014	34	17	4	55
Oct 2014	23	17	2	42
Nov 2014	32	20	1	53
Dec 2014	36	12	1	49
Jan 2015	80	47	5	132
Feb 2015	55	23	1	79
Mar 2015	42	23	1	66
Apr 2015	71	42	3	116
May 2015	31	34	2	67
Jun 2015	30	30	0	60
Jul 2015	36	41	1	78
Aug 2015	14	35	0	49
Sep 2015	22	31	1	54
Oct 2015	24	29	1	54
Nov 2015	26	22	3	51
Dec 2015	6	30	2	38
Jan 2016	25	28	0	53
Feb 2016	18	12	2	32
Mar 2016	18	8	1	27
Apr 2016	5	17	1	23
May 2016	13	17	0	30
Jun 2016	8	14	1	23
Jul 2016	14	18	3	35
Aug 2016	14	23	1	38
Sep 2016	9	13	1	23
Oct 2016	12	24	0	36
Nov 2016	11	14	0	25
Dec 2016	4	8	0	12
Jan 2017	10	13	0	23
Feb 2017	7	9	0	16
Mar 2017	22	20	3	45
Apr 2017	20	22	2	44
May 2017	18	18	0	36
Jun 2017	26	20	0	46
Jul 2017	20	17	0	37
Aug 2017	9	25	2	36
Sep 2017	10	22	0	32
Oct 2017	8	28	0	36
Nov 2017	8	26	2	36
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Feb 2018	15	45	2	62
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Apr 2018	9	22	1	32
May 2018	15	29	5	49
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Sep 2018	14	22	0	36
Oct 2018	11	19	1	31
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Dec 2018	11	19	0	30
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Nov 2022	16	7	0	23
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Jan 2023	22	19	2	43
Feb 2023	30	10	1	41
Mar 2023	26	14	5	45
Apr 2023	17	9	1	27
May 2023	42	18	3	63
Jun 2023	37	6	1	44
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Aug 2023	35	10	1	46
Sep 2023	42	11	3	56
Oct 2023	57	9	2	68
Nov 2023	20	11	0	31
Dec 2023	51	14	1	66
Jan 2024	42	23	0	65
Feb 2024	33	14	0	47
Mar 2024	43	33	6	82
Apr 2024	44	21	2	67
May 2024	15	15	4	34
Jun 2024	52	26	10	88
Jul 2024	20	28	1	49
Aug 2024	43	14	1	58
Sep 2024	17	22	0	39
Oct 2024	20	16	1	37
Nov 2024	11	13	1	25
Dec 2024	13	14	1	28
Jan 2025	28	15	6	49
Feb 2025	48	13	0	61
Mar 2025	18	22	1	41
Apr 2025	32	21	0	53
May 2025	23	17	3	43
Jun 2025	50	19	0	69
Jul 2025	42	25	3	70
Aug 2025	47	27	3	77
Sep 2025	69	23	1	93
Oct 2025	18	36	1	55
Nov 2025	36	22	4	62

Latest update: 25 Nov 2025

Short summary

A new approach for hydrometeor classification from polarimetric radar measurements is proposed. It takes adavantage of clustering techniques to objectively determine the number of hydrometeor classes that can be reliably identified. The proposed method is tested using observations from an X-band polarimetric radar in different regions and evaluated by comparison with existing algorithms and with measurements from a ground-based 2D video disdrometer (providing 2-D views of falling hydrometeors).