Precipitation homogenization and trends in the Usumacinta River Basin ( Mexico‐Guatemala ) over the period 1959–2018
The precipitation variability and trends were investigated in the Usumacinta River Basin (URB) for the period 1959–2018, based on imputed and homogenized data records from 60 meteorological stations in Mexico and Guatemala. The homogenization process played a crucial role in enhancing the quality of...
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creator | Jupin, Johanna L. J. Garcia‐López, Alan A. Briceño‐Zuluaga, Francisco J. Sifeddine, Abdelfettah Ruiz‐Fernández, Ana Carolina Sanchez‐Cabeza, Joan‐Albert Cardoso‐Mohedano, José Gilberto |
description | The precipitation variability and trends were investigated in the Usumacinta River Basin (URB) for the period 1959–2018, based on imputed and homogenized data records from 60 meteorological stations in Mexico and Guatemala. The homogenization process played a crucial role in enhancing the quality of the original precipitation series, reducing regional inconsistencies and improving temporal and spatial coherence. The dataset reliably captured large‐scale climate variations, revealing three regions with similar precipitation variability and trends in the URB. Notably, maximum precipitation occurred at 636 m a.s.l., while minimum precipitation was at 1531 m a.s.l., indicating an orographic effect in the region. Extreme precipitation events were linked to El Niño–Southern Oscillation. Although the Mann–Kendall test showed statistically significant negative trends in only 18% of the stations, integration of Sen's slope analysis and 30‐year normals and dry year occurrences highlighted a progressive shift towards dryer conditions throughout the study period in the URB. These drier conditions could notably affect regions with higher precipitation, requiring special attention due to possible socioeconomic impacts associated with drought events. By identifying these vulnerable regions, policymakers and stakeholders can proactively plan and execute adaptive measures to mitigate the potential impacts of droughts on communities, ecosystems, and economic activities within the basin. |
doi_str_mv | 10.1002/joc.8318 |
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J. ; Garcia‐López, Alan A. ; Briceño‐Zuluaga, Francisco J. ; Sifeddine, Abdelfettah ; Ruiz‐Fernández, Ana Carolina ; Sanchez‐Cabeza, Joan‐Albert ; Cardoso‐Mohedano, José Gilberto</creator><creatorcontrib>Jupin, Johanna L. J. ; Garcia‐López, Alan A. ; Briceño‐Zuluaga, Francisco J. ; Sifeddine, Abdelfettah ; Ruiz‐Fernández, Ana Carolina ; Sanchez‐Cabeza, Joan‐Albert ; Cardoso‐Mohedano, José Gilberto</creatorcontrib><description>The precipitation variability and trends were investigated in the Usumacinta River Basin (URB) for the period 1959–2018, based on imputed and homogenized data records from 60 meteorological stations in Mexico and Guatemala. The homogenization process played a crucial role in enhancing the quality of the original precipitation series, reducing regional inconsistencies and improving temporal and spatial coherence. The dataset reliably captured large‐scale climate variations, revealing three regions with similar precipitation variability and trends in the URB. Notably, maximum precipitation occurred at 636 m a.s.l., while minimum precipitation was at 1531 m a.s.l., indicating an orographic effect in the region. Extreme precipitation events were linked to El Niño–Southern Oscillation. Although the Mann–Kendall test showed statistically significant negative trends in only 18% of the stations, integration of Sen's slope analysis and 30‐year normals and dry year occurrences highlighted a progressive shift towards dryer conditions throughout the study period in the URB. These drier conditions could notably affect regions with higher precipitation, requiring special attention due to possible socioeconomic impacts associated with drought events. By identifying these vulnerable regions, policymakers and stakeholders can proactively plan and execute adaptive measures to mitigate the potential impacts of droughts on communities, ecosystems, and economic activities within the basin.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.8318</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Climate variations ; Drought ; Economic activities ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Environmental impact ; Extreme weather ; Homogenization ; Maximum precipitation ; Orographic effects ; Precipitation ; Precipitation variability ; River basins ; Rivers ; Sciences of the Universe ; Southern Oscillation ; Statistical analysis ; Trends ; Variability ; Weather stations</subject><ispartof>International journal of climatology, 2024-01, Vol.44 (1), p.108-125</ispartof><rights>2023. 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The dataset reliably captured large‐scale climate variations, revealing three regions with similar precipitation variability and trends in the URB. Notably, maximum precipitation occurred at 636 m a.s.l., while minimum precipitation was at 1531 m a.s.l., indicating an orographic effect in the region. Extreme precipitation events were linked to El Niño–Southern Oscillation. Although the Mann–Kendall test showed statistically significant negative trends in only 18% of the stations, integration of Sen's slope analysis and 30‐year normals and dry year occurrences highlighted a progressive shift towards dryer conditions throughout the study period in the URB. These drier conditions could notably affect regions with higher precipitation, requiring special attention due to possible socioeconomic impacts associated with drought events. By identifying these vulnerable regions, policymakers and stakeholders can proactively plan and execute adaptive measures to mitigate the potential impacts of droughts on communities, ecosystems, and economic activities within the basin.</description><subject>Climate variations</subject><subject>Drought</subject><subject>Economic activities</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Environmental impact</subject><subject>Extreme weather</subject><subject>Homogenization</subject><subject>Maximum precipitation</subject><subject>Orographic effects</subject><subject>Precipitation</subject><subject>Precipitation variability</subject><subject>River basins</subject><subject>Rivers</subject><subject>Sciences of the Universe</subject><subject>Southern Oscillation</subject><subject>Statistical analysis</subject><subject>Trends</subject><subject>Variability</subject><subject>Weather stations</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kd1KwzAUx4MoOKfgIwS82S4689G1yeUcugkTRdx1SdLEZaxNTboxvdojCL7hnsSWileHc87v_-d8AHCN0QgjRG7XTo0YxewE9DDiaYQQY6eghxjnEYsxOwcXIawRQpzjpAf2L14rW9la1NaVcOUK965L-9Wlosxh7XWZB2hLWK80XIZtIZQtawFf7U57eCdC0xrAJ723yh0P37OtqHUhNgIOoWuJVlZpb10OMR_z4-GHIMwuwZkRm6Cv_mIfLB_u36bzaPE8e5xOFpEiLK4jKSVOGdPaGBxLhXOS8ETrHFESUyLk2EiaYqOajSmVxBCFkJEpltTkOOUJ7YNh57sSm6zythD-M3PCZvPJImtrKI4JZWS8ww1707GVdx9bHeps7ba-bMbLCG-um6YJTxtq0FHKuxC8Nv-2GGXtDxqVytof0F9_Rnoz</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Jupin, Johanna L. 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J.</au><au>Garcia‐López, Alan A.</au><au>Briceño‐Zuluaga, Francisco J.</au><au>Sifeddine, Abdelfettah</au><au>Ruiz‐Fernández, Ana Carolina</au><au>Sanchez‐Cabeza, Joan‐Albert</au><au>Cardoso‐Mohedano, José Gilberto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precipitation homogenization and trends in the Usumacinta River Basin ( Mexico‐Guatemala ) over the period 1959–2018</atitle><jtitle>International journal of climatology</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>44</volume><issue>1</issue><spage>108</spage><epage>125</epage><pages>108-125</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>The precipitation variability and trends were investigated in the Usumacinta River Basin (URB) for the period 1959–2018, based on imputed and homogenized data records from 60 meteorological stations in Mexico and Guatemala. 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subjects | Climate variations Drought Economic activities El Nino El Nino phenomena El Nino-Southern Oscillation event Environmental impact Extreme weather Homogenization Maximum precipitation Orographic effects Precipitation Precipitation variability River basins Rivers Sciences of the Universe Southern Oscillation Statistical analysis Trends Variability Weather stations |
title | Precipitation homogenization and trends in the Usumacinta River Basin ( Mexico‐Guatemala ) over the period 1959–2018 |
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