Regionalization of rainfall over the Peruvian Pacific slope and coast.
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| Title: | Regionalization of rainfall over the Peruvian Pacific slope and coast. |
|---|---|
| Authors: | Rau, Pedro1 pedro.rau@get.obs-mip.fr, Bourrel, Luc1, Labat, David1, Melo, Pablo1, Dewitte, Boris2, Frappart, Frédéric1,2, Lavado, Waldo3, Felipe, Oscar3 |
| Source: | International Journal of Climatology. Jan2017, Vol. 37 Issue 1, p143-158. 16p. |
| Subject Terms: | *Rainfall, *Mountains, K-means clustering, El Niño, Topography, Zonal winds |
| Abstract: | Documenting the heterogeneity of rainfall regimes is a prerequisite for water resources management, mitigation of risks associated to extremes weather events and for impact studies. In this paper, we present a method for regionalization of rainfall over the Peruvian Pacific slope and coast, which is the main economic zone of the country and concentrates almost 50% of the population. Our approach is based on a two-step process based on k-means clustering followed by the regional vector method ( RVM) applied to a network of 145 rainfall stations covering the period 1964-2011. The advantage of combining cluster analysis and RVM is demonstrated compared with just applying each of these methods. Nine homogeneous regions are identified that depict the salient features of the rainfall variability over the study area. A detailed characterization of the rainfall regime in each of the identified regions is presented in response to climate variability at seasonal and interannual timescale. They are shown to grasp the main modes of influence of the El Niño Southern Oscillation ( ENSO), that is, increased rainfall over downstream regions in northern Peru during extreme El Niño events and decreased rainfall over upstream regions along the Pacific slope during central Pacific El Niño events. Overall our study points to the value of our two-step regionalization procedure for climate impact studies. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Climatology is the property of Wiley-Blackwell 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: | GreenFILE |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 120506024 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Regionalization of rainfall over the Peruvian Pacific slope and coast. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rau%2C+Pedro%22">Rau, Pedro</searchLink><relatesTo>1</relatesTo><i> pedro.rau@get.obs-mip.fr</i><br /><searchLink fieldCode="AR" term="%22Bourrel%2C+Luc%22">Bourrel, Luc</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Labat%2C+David%22">Labat, David</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Melo%2C+Pablo%22">Melo, Pablo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dewitte%2C+Boris%22">Dewitte, Boris</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Frappart%2C+Frédéric%22">Frappart, Frédéric</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lavado%2C+Waldo%22">Lavado, Waldo</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Felipe%2C+Oscar%22">Felipe, Oscar</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Climatology%22">International Journal of Climatology</searchLink>. Jan2017, Vol. 37 Issue 1, p143-158. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Rainfall%22">Rainfall</searchLink><br />*<searchLink fieldCode="DE" term="%22Mountains%22">Mountains</searchLink><br /><searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink><br /><searchLink fieldCode="DE" term="%22El+Niño%22">El Niño</searchLink><br /><searchLink fieldCode="DE" term="%22Topography%22">Topography</searchLink><br /><searchLink fieldCode="DE" term="%22Zonal+winds%22">Zonal winds</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Documenting the heterogeneity of rainfall regimes is a prerequisite for water resources management, mitigation of risks associated to extremes weather events and for impact studies. In this paper, we present a method for regionalization of rainfall over the Peruvian Pacific slope and coast, which is the main economic zone of the country and concentrates almost 50% of the population. Our approach is based on a two-step process based on k-means clustering followed by the regional vector method ( RVM) applied to a network of 145 rainfall stations covering the period 1964-2011. The advantage of combining cluster analysis and RVM is demonstrated compared with just applying each of these methods. Nine homogeneous regions are identified that depict the salient features of the rainfall variability over the study area. A detailed characterization of the rainfall regime in each of the identified regions is presented in response to climate variability at seasonal and interannual timescale. They are shown to grasp the main modes of influence of the El Niño Southern Oscillation ( ENSO), that is, increased rainfall over downstream regions in northern Peru during extreme El Niño events and decreased rainfall over upstream regions along the Pacific slope during central Pacific El Niño events. Overall our study points to the value of our two-step regionalization procedure for climate impact studies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Climatology is the property of Wiley-Blackwell 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: 10.1002/joc.4693 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 143 Subjects: – SubjectFull: Rainfall Type: general – SubjectFull: Mountains Type: general – SubjectFull: K-means clustering Type: general – SubjectFull: El Niño Type: general – SubjectFull: Topography Type: general – SubjectFull: Zonal winds Type: general Titles: – TitleFull: Regionalization of rainfall over the Peruvian Pacific slope and coast. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rau, Pedro – PersonEntity: Name: NameFull: Bourrel, Luc – PersonEntity: Name: NameFull: Labat, David – PersonEntity: Name: NameFull: Melo, Pablo – PersonEntity: Name: NameFull: Dewitte, Boris – PersonEntity: Name: NameFull: Frappart, Frédéric – PersonEntity: Name: NameFull: Lavado, Waldo – PersonEntity: Name: NameFull: Felipe, Oscar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 08998418 Numbering: – Type: volume Value: 37 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Climatology Type: main |
| ResultId | 1 |
