Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform
ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the procedures for regional analysis with L-moments were...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Recursos Hídricos
2019-06-01
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| Series: | Revista Brasileira de Recursos Hídricos |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100224&tlng=en |
| _version_ | 1818977048107941888 |
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| author | Marcus Suassuna Santos Veber Afonso Figueiredo Costa Wilson dos Santos Fernandes Rafael Pedrollo de Paes |
| author_facet | Marcus Suassuna Santos Veber Afonso Figueiredo Costa Wilson dos Santos Fernandes Rafael Pedrollo de Paes |
| author_sort | Marcus Suassuna Santos |
| collection | DOAJ |
| description | ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the procedures for regional analysis with L-moments were employed for defining statistically homogeneous regions. The continuous wavelet transform was then utilized for extracting time-frequency information from the resulting SPI time series in a multiresolution framework and for investigating possible teleconnections of these signals with those obtained from samples of the large-scale climate indexes ENSO and PDO. The use of regional frequency analysis with L-moments resulted in improvements in the estimation of SPI time series. It was observed that by aggregating regional information more reliable estimates of low frequency rainfall amounts were obtained. The wavelet analysis of climate indexes suggests that the more extreme dry periods in the study area are observed when the cold phase of both ENSO and the PDO coincides. While not constituting a strict cause effect relationship, it was clear that the more extreme droughts are consistently observed in this situation. However, further investigation is necessary for identifying particularities in rainfall patterns that are not associated to large-scale climate anomalies. |
| first_indexed | 2024-12-20T16:21:32Z |
| format | Article |
| id | doaj.art-8863db05a8ac491a971dc298e04ad4fd |
| institution | Directory Open Access Journal |
| issn | 2318-0331 |
| language | English |
| last_indexed | 2024-12-20T16:21:32Z |
| publishDate | 2019-06-01 |
| publisher | Associação Brasileira de Recursos Hídricos |
| record_format | Article |
| series | Revista Brasileira de Recursos Hídricos |
| spelling | doaj.art-8863db05a8ac491a971dc298e04ad4fd2022-12-21T19:33:37ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312019-06-012410.1590/2318-0331.241920180092Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transformMarcus Suassuna Santoshttps://orcid.org/0000-0001-8773-0062Veber Afonso Figueiredo Costahttps://orcid.org/0000-0002-3848-2098Wilson dos Santos Fernandeshttps://orcid.org/0000-0002-9731-2320Rafael Pedrollo de Paeshttps://orcid.org/0000-0003-3216-8951ABSTRACT This paper focuses on time-space characterization of drought conditions in the São Francisco River catchment, on the basis of wavelet analysis of Standardized Precipitation Index (SPI) time series. In order to improve SPI estimation, the procedures for regional analysis with L-moments were employed for defining statistically homogeneous regions. The continuous wavelet transform was then utilized for extracting time-frequency information from the resulting SPI time series in a multiresolution framework and for investigating possible teleconnections of these signals with those obtained from samples of the large-scale climate indexes ENSO and PDO. The use of regional frequency analysis with L-moments resulted in improvements in the estimation of SPI time series. It was observed that by aggregating regional information more reliable estimates of low frequency rainfall amounts were obtained. The wavelet analysis of climate indexes suggests that the more extreme dry periods in the study area are observed when the cold phase of both ENSO and the PDO coincides. While not constituting a strict cause effect relationship, it was clear that the more extreme droughts are consistently observed in this situation. However, further investigation is necessary for identifying particularities in rainfall patterns that are not associated to large-scale climate anomalies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100224&tlng=enDroughtsWavelet analysisStandardized precipitation indexClimatic indexes |
| spellingShingle | Marcus Suassuna Santos Veber Afonso Figueiredo Costa Wilson dos Santos Fernandes Rafael Pedrollo de Paes Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform Revista Brasileira de Recursos Hídricos Droughts Wavelet analysis Standardized precipitation index Climatic indexes |
| title | Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform |
| title_full | Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform |
| title_fullStr | Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform |
| title_full_unstemmed | Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform |
| title_short | Time-space characterization of droughts in the São Francisco river catchment using the Standard Precipitation Index and continuous wavelet transform |
| title_sort | time space characterization of droughts in the sao francisco river catchment using the standard precipitation index and continuous wavelet transform |
| topic | Droughts Wavelet analysis Standardized precipitation index Climatic indexes |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100224&tlng=en |
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