Correlations between climate network and relief data

Peron, T. K. D.; Comin, C. H.; Amancio, D. R.; da F. Costa, L.; Rodrigues, F. A.; Kurths, J.

doi:10.5194/npg-21-1127-2014

Articles | Volume 21, issue 6

https://doi.org/10.5194/npg-21-1127-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Complex network approaches to analyzing and modeling nonlinear...

https://doi.org/10.5194/npg-21-1127-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 6

Research article

| Highlight paper

|

27 Nov 2014

Research article | Highlight paper |

| 27 Nov 2014

Correlations between climate network and relief data

T. K. D. Peron, C. H. Comin, D. R. Amancio, L. da F. Costa, F. A. Rodrigues, and J. Kurths

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Sep 2014	20	60	4	84
Oct 2014	12	252	0	264
Nov 2014	76	332	3	411
Dec 2014	137	408	4	549
Jan 2015	54	222	1	277
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Jun 2015	64	14	4	82
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Jan 2016	68	15	2	85
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Apr 2016	49	10	1	60
May 2016	41	7	0	48
Jun 2016	29	8	0	37
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Apr 2018	26	42	8	76
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Aug 2019	45	37	0	82
Sep 2019	38	25	1	64
Oct 2019	37	38	1	76
Nov 2019	39	26	0	65
Dec 2019	38	20	1	59
Jan 2020	50	8	5	63
Feb 2020	38	9	1	48
Mar 2020	64	11	4	79
Apr 2020	70	7	2	79
May 2020	72	9	3	84
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Jul 2020	72	23	10	105
Aug 2020	51	8	7	66
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Oct 2020	42	19	0	61
Nov 2020	32	7	2	41
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Mar 2023	40	4	5	49
Apr 2023	38	7	0	45
May 2023	41	12	1	54
Jun 2023	44	3	1	48
Jul 2023	41	3	2	46
Aug 2023	38	31	2	71
Sep 2023	42	5	1	48
Oct 2023	45	12	0	57
Nov 2023	24	0	24
Dec 2023	34	2	2	38
Jan 2024	11	15	0	26
Feb 2024	10	6	1	17
Mar 2024	10	10	2	22
Apr 2024	23	11	5	39
May 2024	13	8	2	23
Jun 2024	41	11	1	53
Jul 2024	12	22	3	37
Aug 2024	46	7	7	60
Sep 2024	16	13	4	33
Oct 2024	15	18	1	34
Nov 2024	14	3	2	19
Dec 2024	9	10	0	19
Jan 2025	9	11	1	21
Feb 2025	24	6	0	30
Mar 2025	18	9	1	28
Apr 2025	17	15	1	33
May 2025	22	7	2	31
Jun 2025	45	14	0	59
Jul 2025	25	6	1	32
Aug 2025	48	18	2	68
Sep 2025	56	13	3	72
Oct 2025	35	17	2	54
Nov 2025	37	29	2	68
Dec 2025	5	2	0	7

Cumulative views and downloads (calculated since 24 Apr 2014)

Month	HTML	PDF	XML	Total
Apr 2014	39	28	1	68
May 2014	49	48	6	103
Jun 2014	22	13	7	42
Jul 2014	22	10	2	34
Aug 2014	17	14	4	35
Sep 2014	20	60	4	84
Oct 2014	12	252	0	264
Nov 2014	76	332	3	411
Dec 2014	137	408	4	549
Jan 2015	54	222	1	277
Feb 2015	22	42	0	64
Mar 2015	34	52	2	88
Apr 2015	35	70	2	107
May 2015	25	36	0	61
Jun 2015	64	14	4	82
Jul 2015	43	13	0	56
Aug 2015	26	9	0	35
Sep 2015	17	14	0	31
Oct 2015	20	12	1	33
Nov 2015	32	10	1	43
Dec 2015	16	14	1	31
Jan 2016	68	15	2	85
Feb 2016	50	19	0	69
Mar 2016	43	12	1	56
Apr 2016	49	10	1	60
May 2016	41	7	0	48
Jun 2016	29	8	0	37
Jul 2016	20	4	3	27
Aug 2016	21	9	0	30
Sep 2016	31	6	0	37
Oct 2016	20	5	2	27
Nov 2016	19	2	0	21
Dec 2016	13	7	0	20
Jan 2017	27	4	0	31
Feb 2017	30	6	6	42
Mar 2017	56	3	11	70
Apr 2017	89	13	18	120
May 2017	86	9	16	111
Jun 2017	83	17	14	114
Jul 2017	36	16	4	56
Aug 2017	41	21	2	64
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Oct 2017	22	30	2	54
Nov 2017	28	32	3	63
Dec 2017	24	35	6	65
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May 2018	19	44	3	66
Jun 2018	17	40	6	63
Jul 2018	21	43	6	70
Aug 2018	31	46	8	85
Sep 2018	20	26	3	49
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Nov 2018	37	48	2	87
Dec 2018	19	30	2	51
Jan 2019	26	29	6	61
Feb 2019	15	19	2	36
Mar 2019	29	28	3	60
Apr 2019	49	37	3	89
May 2019	32	31	3	66
Jun 2019	35	31	1	67
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Aug 2019	45	37	0	82
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Jan 2020	50	8	5	63
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Apr 2020	70	7	2	79
May 2020	72	9	3	84
Jun 2020	74	23	0	97
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Sep 2020	76	5	0	81
Oct 2020	42	19	0	61
Nov 2020	32	7	2	41
Dec 2020	59	9	0	68
Jan 2021	70	14	1	85
Feb 2021	47	7	0	54
Mar 2021	41	9	1	51
Apr 2021	52	9	1	62
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Jul 2021	40	12	1	53
Aug 2021	48	5	2	55
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Dec 2021	40	8	0	48
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Oct 2022	46	14	4	64
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Dec 2022	46	8	1	55
Jan 2023	37	10	1	48
Feb 2023	42	6	2	50
Mar 2023	40	4	5	49
Apr 2023	38	7	0	45
May 2023	41	12	1	54
Jun 2023	44	3	1	48
Jul 2023	41	3	2	46
Aug 2023	38	31	2	71
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Oct 2023	45	12	0	57
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Jan 2024	11	15	0	26
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Jul 2025	25	6	1	32
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Sep 2025	56	13	3	72
Oct 2025	35	17	2	54
Nov 2025	37	29	2	68
Dec 2025	5	2	0	7

Latest update: 06 Dec 2025

Short summary

In the past few years, complex networks have been extensively applied to climate sciences, yielding the new field of climate networks. Here, we generalize climate network analysis by investigating the influence of altitudes in network topology. More precisely, we verified that nodes group into different communities corresponding to geographical areas with similar relief properties. This new approach may contribute to obtaining more complete climate network models.