The influence of nonlinear trends on the power of the trend-free pre-whitening approach
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| Format: | Artículo científico |
| Sprache: | en |
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Universidade Estadual de Maringá
2015
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| author | Gabriel Constantino Blain |
| author_facet | Gabriel Constantino Blain |
| contents | The influence of nonlinear trends on the power of the trend-free pre-whitening approach Gabriel Constantino Blain Agrociencias Mann Kendall climate change serial correlation The Mann-Kendall test has been widely used to detect trends in agro-meteorological as well as hydrological time series. Trend-free pre-whitening (TFPW-MK) is an approach that improves the performance of this test in the presence of serial correlation. The main goal of this study was to evaluate the ability of TFPW-MK to detect nonlinear trends. As a case study, this approach was also applied to 10-day values of precipitation (P), potential evapotranspiration (PE) and the difference between P and PE (P- PE) obtained from the weather station of Ribeirão Preto, State of São Paulo, Brazil. The results obtained from Monte Carlo simulations indicate that upward convex trends increase the power of this test, while upward concave trends decrease its power. The results obtained from the location of Ribeirão Preto reveal an increasing pressure on agricultural water management due to growing PE values. Thus, we conclude that the power of the TFPW-MK is affected by the shape of the trend and that the hypothesis of the absence of climate change in the abovementioned location cannot be accepted. 2015 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303033072003 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.1 Vol.37 |
| format | Artículo científico |
| id | redalyc_303033072003 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | The influence of nonlinear trends on the power of the trend-free pre-whitening approach Gabriel Constantino Blain Agrociencias Mann Kendall climate change serial correlation The influence of nonlinear trends on the power of the trend-free pre-whitening approach Gabriel Constantino Blain Agrociencias Mann Kendall climate change serial correlation The Mann-Kendall test has been widely used to detect trends in agro-meteorological as well as hydrological time series. Trend-free pre-whitening (TFPW-MK) is an approach that improves the performance of this test in the presence of serial correlation. The main goal of this study was to evaluate the ability of TFPW-MK to detect nonlinear trends. As a case study, this approach was also applied to 10-day values of precipitation (P), potential evapotranspiration (PE) and the difference between P and PE (P- PE) obtained from the weather station of Ribeirão Preto, State of São Paulo, Brazil. The results obtained from Monte Carlo simulations indicate that upward convex trends increase the power of this test, while upward concave trends decrease its power. The results obtained from the location of Ribeirão Preto reveal an increasing pressure on agricultural water management due to growing PE values. Thus, we conclude that the power of the TFPW-MK is affected by the shape of the trend and that the hypothesis of the absence of climate change in the abovementioned location cannot be accepted. 2015 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303033072003 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.1 Vol.37 |
| title | The influence of nonlinear trends on the power of the trend-free pre-whitening approach |
| topic | Agrociencias Mann Kendall climate change serial correlation |
| url | https://www.redalyc.org/articulo.oa?id=303033072003 |