Recent advances in wavelet analyses: Part 2—Amazon, Parana, Orinoco and Congo discharges time scale variability
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| Title: | Recent advances in wavelet analyses: Part 2—Amazon, Parana, Orinoco and Congo discharges time scale variability |
|---|---|
| Authors: | Labat, David1 abat@lmtg.obs-mip.fr, Ronchail, Josyane2, Guyot, Jean Loup2,3 |
| Source: | Journal of Hydrology. Nov2005, Vol. 314 Issue 1-4, p289-311. 23p. |
| Subjects: | Ocean-atmosphere interaction, Marine meteorology, Southern oscillation, Ocean circulation |
| Abstract: | Abstract: This paper is devoted to illustrating new wavelet analysis methods in the field of hydrology. New wavelet indicators are applied to long-term hydrological and climatologic proxies. They are first applied to four Atlantic large river monthly discharges (Amazon, Parana, Orinoco and Congo) and then applied to two well-known long-term climatologic indexes: the Southern Oscillation and the North Atlantic Oscillation. This approach makes it possible to suggest physical explanations for time–scale dependant relationships. Six-month variability is present in all the rivers except in the Parana. In the Congo River this signal is near stationary with strong entropy. The strength of this scale coincides with higher discharge variability before 1920 and over the Orinoco basin with higher discharge values between 1940 and 1955. An annual cycle is present in all the rivers but is much stronger, along with the entropy, in the rivers with a large tropical basin, as in the Amazon and the Orinoco. This annual signal is not permanent in the Congo and much more intermittent in the Parana where the annual recharge appears as very irregular. A quasi biennial variability is apparent in all the equator ward rivers and a nearly permanent 2-year coherence is found between SOI and the Amazon discharge. A 3–6-year oscillation typical of ENSO variability is observed in all the rivers. It is intermittent, observed before 1930 in all the rivers and after 1980 mostly in the Amazon River. These peaks of activity correspond to periods of major SOI variability. An 8-year variability is particularly strong in the Parana River before 1940 and around 1970 and to a lesser extent in the Orinoco River during the low NAO index period, between 1940 and 1970. The Congo River exhibits that time–scale around 1970. A 13-year variability common to SOI, NAO and the South Atlantic Ocean circulation is observed in the Parana and Congo discharges. In all the rivers the greatest entropy is observed at bi and multi decadal time scales with the greatest coherence with both NAO and SOI. A near 20-year time–scale is observed in most of the series around 1970, although it is strongest in Amazon and Parana discharges. Finally, a 30-year time–scale is observed between 1940 and 1970. It is to be noted that most of the time–scale dominant activities, in all the rivers, may have been influenced by the interdecadal shifts that took place around 1940 and 1970 in the Pacific and in the Atlantic. Therefore, in this contribution, the application of new wavelet indicators (combined continuous and multi-resolution analysis, wavelet entropy, wavelet coherence, wavelet cross-correlation) leads to several improvements in the analysis of these global hydrological signal fluctuations and of their mutual time varying relationships. It is demonstrated that wavelets should be used more systematically in preference to the classical Fourier analysis, notably in hydrology. [Copyright &y& Elsevier] |
| Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 19061956 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Recent advances in wavelet analyses: Part 2—Amazon, Parana, Orinoco and Congo discharges time scale variability – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Labat%2C+David%22">Labat, David</searchLink><relatesTo>1</relatesTo><i> abat@lmtg.obs-mip.fr</i><br /><searchLink fieldCode="AR" term="%22Ronchail%2C+Josyane%22">Ronchail, Josyane</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Guyot%2C+Jean+Loup%22">Guyot, Jean Loup</searchLink><relatesTo>2,3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Hydrology%22">Journal of Hydrology</searchLink>. Nov2005, Vol. 314 Issue 1-4, p289-311. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ocean-atmosphere+interaction%22">Ocean-atmosphere interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Marine+meteorology%22">Marine meteorology</searchLink><br /><searchLink fieldCode="DE" term="%22Southern+oscillation%22">Southern oscillation</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+circulation%22">Ocean circulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: This paper is devoted to illustrating new wavelet analysis methods in the field of hydrology. New wavelet indicators are applied to long-term hydrological and climatologic proxies. They are first applied to four Atlantic large river monthly discharges (Amazon, Parana, Orinoco and Congo) and then applied to two well-known long-term climatologic indexes: the Southern Oscillation and the North Atlantic Oscillation. This approach makes it possible to suggest physical explanations for time–scale dependant relationships. Six-month variability is present in all the rivers except in the Parana. In the Congo River this signal is near stationary with strong entropy. The strength of this scale coincides with higher discharge variability before 1920 and over the Orinoco basin with higher discharge values between 1940 and 1955. An annual cycle is present in all the rivers but is much stronger, along with the entropy, in the rivers with a large tropical basin, as in the Amazon and the Orinoco. This annual signal is not permanent in the Congo and much more intermittent in the Parana where the annual recharge appears as very irregular. A quasi biennial variability is apparent in all the equator ward rivers and a nearly permanent 2-year coherence is found between SOI and the Amazon discharge. A 3–6-year oscillation typical of ENSO variability is observed in all the rivers. It is intermittent, observed before 1930 in all the rivers and after 1980 mostly in the Amazon River. These peaks of activity correspond to periods of major SOI variability. An 8-year variability is particularly strong in the Parana River before 1940 and around 1970 and to a lesser extent in the Orinoco River during the low NAO index period, between 1940 and 1970. The Congo River exhibits that time–scale around 1970. A 13-year variability common to SOI, NAO and the South Atlantic Ocean circulation is observed in the Parana and Congo discharges. In all the rivers the greatest entropy is observed at bi and multi decadal time scales with the greatest coherence with both NAO and SOI. A near 20-year time–scale is observed in most of the series around 1970, although it is strongest in Amazon and Parana discharges. Finally, a 30-year time–scale is observed between 1940 and 1970. It is to be noted that most of the time–scale dominant activities, in all the rivers, may have been influenced by the interdecadal shifts that took place around 1940 and 1970 in the Pacific and in the Atlantic. Therefore, in this contribution, the application of new wavelet indicators (combined continuous and multi-resolution analysis, wavelet entropy, wavelet coherence, wavelet cross-correlation) leads to several improvements in the analysis of these global hydrological signal fluctuations and of their mutual time varying relationships. It is demonstrated that wavelets should be used more systematically in preference to the classical Fourier analysis, notably in hydrology. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jhydrol.2005.04.004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 289 Subjects: – SubjectFull: Ocean-atmosphere interaction Type: general – SubjectFull: Marine meteorology Type: general – SubjectFull: Southern oscillation Type: general – SubjectFull: Ocean circulation Type: general Titles: – TitleFull: Recent advances in wavelet analyses: Part 2—Amazon, Parana, Orinoco and Congo discharges time scale variability Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Labat, David – PersonEntity: Name: NameFull: Ronchail, Josyane – PersonEntity: Name: NameFull: Guyot, Jean Loup IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 11 Text: Nov2005 Type: published Y: 2005 Identifiers: – Type: issn-print Value: 00221694 Numbering: – Type: volume Value: 314 – Type: issue Value: 1-4 Titles: – TitleFull: Journal of Hydrology Type: main |
| ResultId | 1 |
