@article{fdi:010088778,
  title = {{P}recipitation homogenization and trends in the {U}sumacinta {R}iver {B}asin ({M}exico-{G}uatemala) over the period 1959-2018},
  author = {{J}upin, {J}. {L}. {J}. and {G}arcia-{L}ópez, {A}. {A}. and {B}riceño-{Z}uluaga, {F}. {J}. and {S}ifeddine, {A}bdelfettah and {R}uiz-{F}ernández, {A}. {C}. and {S}anchez-{C}abeza, {J}. {A}. and {C}ardoso-{M}ohedano, {J}. {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he precipitation variability and trends were investigated in the {U}sumacinta {R}iver {B}asin ({URB}) for the period 1959-2018, based on imputed and homogenized data records from 60 meteorological stations in {M}exico and {G}uatemala. {T}he homogenization process played a crucial role in enhancing the quality of the original precipitation series, reducing regional inconsistencies and improving temporal and spatial coherence. {T}he dataset reliably captured large-scale climate variations, revealing three regions with similar precipitation variability and trends in the {URB}. {N}otably, 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. {E}xtreme precipitation events were linked to {E}l {N}ino-{S}outhern {O}scillation. {A}lthough the {M}ann-{K}endall test showed statistically significant negative trends in only 18% of the stations, integration of {S}en'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}. {T}hese drier conditions could notably affect regions with higher precipitation, requiring special attention due to possible socioeconomic impacts associated with drought events. {B}y 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.},
  keywords = {{C}entral {A}merica ; climatol ; drought ; homogenization ; precipitation ; trend ; {MEXIQUE} ; {GUATEMALA}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {C}limatology},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[18 ]},
  ISSN = {0899-8418},
  year = {2023},
  DOI = {10.1002/joc.8318},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088778},
}