Novel method for hurricane trajectory prediction based on data mining

Dong, X.; Pi, D. C.

doi:https://doi.org/10.5194/nhess-13-3211-2013

Articles | Volume 13, issue 12

https://doi.org/10.5194/nhess-13-3211-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-13-3211-2013

© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 13, issue 12

Research article

|

10 Dec 2013

Research article |

| 10 Dec 2013

Novel method for hurricane trajectory prediction based on data mining

X. Dong and D. C. Pi

Viewed

Total article views: 2,489 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,218	1,165	106	2,489	97	85

HTML: 1,218
PDF: 1,165
XML: 106
Total: 2,489
BibTeX: 97
EndNote: 85

Views and downloads (calculated since 11 Sep 2013)

Month	HTML	PDF	XML	Total
Sep 2013	16	12	1	29
Oct 2013	19	17	1	37
Nov 2013	5	16	0	21
Dec 2013	62	78	1	141
Jan 2014	45	48	0	93
Feb 2014	30	33	2	65
Mar 2014	41	35	2	78
Apr 2014	15	19	1	35
May 2014	8	24	1	33
Jun 2014	9	18	0	27
Jul 2014	17	23	1	41
Aug 2014	8	23	2	33
Sep 2014	11	18	1	30
Oct 2014	8	18	1	27
Nov 2014	5	12	2	19
Dec 2014	6	20	1	27
Jan 2015	5	16	1	22
Feb 2015	8	8	0	16
Mar 2015	9	4	1	14
Apr 2015	7	3	0	10
May 2015	2	8	0	10
Jun 2015	29	5	0	34
Jul 2015	27	6	0	33
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Sep 2015	6	6	0	12
Oct 2015	20	6	2	28
Nov 2015	28	16	2	46
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Mar 2016	5	4	0	9
Apr 2016	3	4	0	7
May 2016	3	2	0	5
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Aug 2016	8	7	0	15
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Oct 2016	4	5	0	9
Nov 2016	4	0	4
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Jan 2018	10	5	0	15
Feb 2018	9	7	1	17
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Apr 2018	8	4	0	12
May 2018	7	4	0	11
Jun 2018	12	13	1	26
Jul 2018	10	9	1	20
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Jan 2022	6	11	0	17
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Oct 2022	7	6	0	13
Nov 2022	5	7	0	12
Dec 2022	5	3	0	8
Jan 2023	5	15	1	21
Feb 2023	3	5	0	8
Mar 2023	13	8	0	21
Apr 2023	1	4	0	5
May 2023	9	4	4	17
Jun 2023	1	5	0	6
Jul 2023	2	3	1	6
Aug 2023	5	2	2	9
Sep 2023	5	5	0	10
Oct 2023	6	6	1	13
Nov 2023	3	3	6
Dec 2023	7	0	7
Jan 2024	3	2	1	6
Feb 2024	5	4	1	10
Mar 2024	4	4	1	9
Apr 2024	13	5	4	22
May 2024	13	10	3	26
Jun 2024	18	6	2	26
Jul 2024	12	5	3	20

Cumulative views and downloads (calculated since 11 Sep 2013)

Month	HTML	PDF	XML	Total
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Oct 2013	19	17	1	37
Nov 2013	5	16	0	21
Dec 2013	62	78	1	141
Jan 2014	45	48	0	93
Feb 2014	30	33	2	65
Mar 2014	41	35	2	78
Apr 2014	15	19	1	35
May 2014	8	24	1	33
Jun 2014	9	18	0	27
Jul 2014	17	23	1	41
Aug 2014	8	23	2	33
Sep 2014	11	18	1	30
Oct 2014	8	18	1	27
Nov 2014	5	12	2	19
Dec 2014	6	20	1	27
Jan 2015	5	16	1	22
Feb 2015	8	8	0	16
Mar 2015	9	4	1	14
Apr 2015	7	3	0	10
May 2015	2	8	0	10
Jun 2015	29	5	0	34
Jul 2015	27	6	0	33
Aug 2015	10	8	0	18
Sep 2015	6	6	0	12
Oct 2015	20	6	2	28
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Apr 2016	3	4	0	7
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Jul 2016	6	3	2	11
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Jun 2023	1	5	0	6
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Jan 2024	3	2	1	6
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Apr 2024	13	5	4	22
May 2024	13	10	3	26
Jun 2024	18	6	2	26
Jul 2024	12	5	3	20