Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach

Agarwal, Ankit; Marwan, Norbert; Rathinasamy, Maheswaran; Merz, Bruno; Kurths, Jürgen

doi:10.5194/npg-24-599-2017

Articles | Volume 24, issue 4

https://doi.org/10.5194/npg-24-599-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-24-599-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 24, issue 4

Research article

|

13 Oct 2017

Research article |

| 13 Oct 2017

Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach

Ankit Agarwal, Norbert Marwan, Maheswaran Rathinasamy, Bruno Merz, and Jürgen Kurths

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Views and downloads (calculated since 12 Jun 2017)

Month	HTML	PDF	XML	Total
Jun 2017	118	48	13	179
Jul 2017	48	19	1	68
Aug 2017	40	10	1	51
Sep 2017	19	9	2	30
Oct 2017	119	63	6	188
Nov 2017	46	34	5	85
Dec 2017	35	30	5	70
Jan 2018	59	42	13	114
Feb 2018	34	23	6	63
Mar 2018	28	20	3	51
Apr 2018	28	15	7	50
May 2018	26	22	3	51
Jun 2018	27	21	4	52
Jul 2018	18	19	8	45
Aug 2018	37	20	4	61
Sep 2018	19	25	4	48
Oct 2018	26	25	5	56
Nov 2018	22	18	7	47
Dec 2018	20	12	1	33
Jan 2019	30	28	4	62
Feb 2019	31	16	2	49
Mar 2019	15	17	4	36
Apr 2019	21	16	4	41
May 2019	17	8	2	27
Jun 2019	19	18	1	38
Jul 2019	21	17	5	43
Aug 2019	13	9	0	22
Sep 2019	11	8	0	19
Oct 2019	18	13	1	32
Nov 2019	11	6	0	17
Dec 2019	11	10	0	21
Jan 2020	14	10	5	29
Feb 2020	19	8	1	28
Mar 2020	17	8	2	27
Apr 2020	17	10	2	29
May 2020	14	8	1	23
Jun 2020	32	26	2	60
Jul 2020	43	59	17	119
Aug 2020	6	6	6	18
Sep 2020	15	10	0	25
Oct 2020	23	11	0	34
Nov 2020	8	8	0	16
Dec 2020	13	8	1	22
Jan 2021	32	13	1	46
Feb 2021	24	13	1	38
Mar 2021	43	4	0	47
Apr 2021	35	4	2	41
May 2021	27	13	1	41
Jun 2021	33	14	1	48
Jul 2021	19	10	1	30
Aug 2021	24	9	2	35
Sep 2021	21	15	1	37
Oct 2021	33	43	1	77
Nov 2021	18	26	2	46
Dec 2021	22	10	2	34
Jan 2022	8	9	0	17
Feb 2022	17	10	5	32
Mar 2022	17	11	2	30
Apr 2022	21	18	2	41
May 2022	11	10	4	25
Jun 2022	16	4	1	21
Jul 2022	19	8	0	27
Aug 2022	16	10	1	27
Sep 2022	14	5	2	21
Oct 2022	14	14	4	32
Nov 2022	31	28	2	61
Dec 2022	23	14	1	38
Jan 2023	19	22	1	42
Feb 2023	17	7	0	24
Mar 2023	33	16	3	52
Apr 2023	39	8	2	49
May 2023	29	12	2	43
Jun 2023	17	9	0	26
Jul 2023	19	6	0	25
Aug 2023	13	11	2	26
Sep 2023	50	14	1	65
Oct 2023	188	13	2	203
Nov 2023	145	3	1	149
Dec 2023	32	11	2	45
Jan 2024	28	8	1	37
Feb 2024	6	10	2	18
Mar 2024	12	19	2	33
Apr 2024	20	11	7	38
May 2024	25	26	4	55
Jun 2024	63	8	2	73
Jul 2024	21	7	3	31
Aug 2024	56	5	4	65
Sep 2024	21	12	3	36
Oct 2024	31	13	0	44
Nov 2024	32	8	3	43
Dec 2024	19	2	1	22
Jan 2025	42	22	4	68
Feb 2025	45	26	1	72
Mar 2025	42	9	2	53
Apr 2025	34	15	0	49
May 2025	53	7	1	61
Jun 2025	57	18	0	75
Jul 2025	49	13	2	64
Aug 2025	38	22	3	63
Sep 2025	62	24	2	88
Oct 2025	48	51	4	103
Nov 2025	48	32	5	85
Dec 2025	7	5	6	18

Cumulative views and downloads (calculated since 12 Jun 2017)

Month	HTML	PDF	XML	Total
Jun 2017	118	48	13	179
Jul 2017	48	19	1	68
Aug 2017	40	10	1	51
Sep 2017	19	9	2	30
Oct 2017	119	63	6	188
Nov 2017	46	34	5	85
Dec 2017	35	30	5	70
Jan 2018	59	42	13	114
Feb 2018	34	23	6	63
Mar 2018	28	20	3	51
Apr 2018	28	15	7	50
May 2018	26	22	3	51
Jun 2018	27	21	4	52
Jul 2018	18	19	8	45
Aug 2018	37	20	4	61
Sep 2018	19	25	4	48
Oct 2018	26	25	5	56
Nov 2018	22	18	7	47
Dec 2018	20	12	1	33
Jan 2019	30	28	4	62
Feb 2019	31	16	2	49
Mar 2019	15	17	4	36
Apr 2019	21	16	4	41
May 2019	17	8	2	27
Jun 2019	19	18	1	38
Jul 2019	21	17	5	43
Aug 2019	13	9	0	22
Sep 2019	11	8	0	19
Oct 2019	18	13	1	32
Nov 2019	11	6	0	17
Dec 2019	11	10	0	21
Jan 2020	14	10	5	29
Feb 2020	19	8	1	28
Mar 2020	17	8	2	27
Apr 2020	17	10	2	29
May 2020	14	8	1	23
Jun 2020	32	26	2	60
Jul 2020	43	59	17	119
Aug 2020	6	6	6	18
Sep 2020	15	10	0	25
Oct 2020	23	11	0	34
Nov 2020	8	8	0	16
Dec 2020	13	8	1	22
Jan 2021	32	13	1	46
Feb 2021	24	13	1	38
Mar 2021	43	4	0	47
Apr 2021	35	4	2	41
May 2021	27	13	1	41
Jun 2021	33	14	1	48
Jul 2021	19	10	1	30
Aug 2021	24	9	2	35
Sep 2021	21	15	1	37
Oct 2021	33	43	1	77
Nov 2021	18	26	2	46
Dec 2021	22	10	2	34
Jan 2022	8	9	0	17
Feb 2022	17	10	5	32
Mar 2022	17	11	2	30
Apr 2022	21	18	2	41
May 2022	11	10	4	25
Jun 2022	16	4	1	21
Jul 2022	19	8	0	27
Aug 2022	16	10	1	27
Sep 2022	14	5	2	21
Oct 2022	14	14	4	32
Nov 2022	31	28	2	61
Dec 2022	23	14	1	38
Jan 2023	19	22	1	42
Feb 2023	17	7	0	24
Mar 2023	33	16	3	52
Apr 2023	39	8	2	49
May 2023	29	12	2	43
Jun 2023	17	9	0	26
Jul 2023	19	6	0	25
Aug 2023	13	11	2	26
Sep 2023	50	14	1	65
Oct 2023	188	13	2	203
Nov 2023	145	3	1	149
Dec 2023	32	11	2	45
Jan 2024	28	8	1	37
Feb 2024	6	10	2	18
Mar 2024	12	19	2	33
Apr 2024	20	11	7	38
May 2024	25	26	4	55
Jun 2024	63	8	2	73
Jul 2024	21	7	3	31
Aug 2024	56	5	4	65
Sep 2024	21	12	3	36
Oct 2024	31	13	0	44
Nov 2024	32	8	3	43
Dec 2024	19	2	1	22
Jan 2025	42	22	4	68
Feb 2025	45	26	1	72
Mar 2025	42	9	2	53
Apr 2025	34	15	0	49
May 2025	53	7	1	61
Jun 2025	57	18	0	75
Jul 2025	49	13	2	64
Aug 2025	38	22	3	63
Sep 2025	62	24	2	88
Oct 2025	48	51	4	103
Nov 2025	48	32	5	85
Dec 2025	7	5	6	18

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Total article views: 5,114 (including HTML, PDF, and XML) Thereof 4,948 with geography defined and 166 with unknown origin.

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Latest update: 06 Dec 2025

Short summary

Extreme events such as floods and droughts result from synchronization of different natural processes working at multiple timescales. Investigation on an observation timescale will not reveal the inherent underlying dynamics triggering these events. This paper develops a new method based on wavelets and event synchronization to unravel the hidden dynamics responsible for such sudden events. This method is tested with synthetic and real-world cases and the results are promising.


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