Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region

Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems’ stability, food security, and most human activities. Based on satellite estimations validated through ground measurements from 59 meteo...

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Autores:
Morales-Acuña, Enrique
Linero-Cueto, Jean Rogelio
Canales, Fausto
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8779
Acceso en línea:
https://hdl.handle.net/11323/8779
https://doi.org/10.3390/hydrology8030128
https://repositorio.cuc.edu.co/
Palabra clave:
Precipitation
Climate variability
Rainfall trends
CHIRPS v2.0
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_8894fd8f00c3ff95fe7cb5f6198958bf
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8779
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
title Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
spellingShingle Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
Precipitation
Climate variability
Rainfall trends
CHIRPS v2.0
title_short Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
title_full Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
title_fullStr Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
title_full_unstemmed Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
title_sort Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian region
dc.creator.fl_str_mv Morales-Acuña, Enrique
Linero-Cueto, Jean Rogelio
Canales, Fausto
dc.contributor.author.spa.fl_str_mv Morales-Acuña, Enrique
Linero-Cueto, Jean Rogelio
Canales, Fausto
dc.subject.spa.fl_str_mv Precipitation
Climate variability
Rainfall trends
CHIRPS v2.0
topic Precipitation
Climate variability
Rainfall trends
CHIRPS v2.0
description Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems’ stability, food security, and most human activities. Based on satellite estimations validated through ground measurements from 59 meteorological stations, the objective of this study is to evaluate the long-term spatiotemporal variability and trends of the average monthly precipitation in the Magdalena Department, Colombia, for the 1981–2018 period. This heterogeneous region comprises many different ecoregions in its 23,188 km2 area. The analysis of spatial variability allowed for the determination of four different subregions based on the differences in the average values of precipitation and the degree of rainfall variability. The trend analysis indicates that the current rainfall patterns contradict previous estimates of a progressive decrease in annual averages due to climate change in the study region, as most of the department does not exhibit statistically significant trends, except for the Sierra Nevada de Santa Marta area, where this study found reductions between 10 mm yr−1 and 30 mm yr−1. The findings of this study also suggest the existence of some links between precipitation patterns with regional phenomena of climate variability and solar activity.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-10-08T20:46:33Z
dc.date.available.none.fl_str_mv 2021-10-08T20:46:33Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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status_str acceptedVersion
dc.identifier.issn.spa.fl_str_mv 2306-5338
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8779
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.3390/hydrology8030128
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 2306-5338
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8779
https://doi.org/10.3390/hydrology8030128
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
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repository.mail.fl_str_mv bdigital@metabiblioteca.com
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spelling Morales-Acuña, Enriqueea35adf83cc26d6b85c1f746ca6a04e3300Linero-Cueto, Jean Rogelio0e45f3703a83fc68fa6358e224f9439a300Canales, Fausto0682879bea857c7ccbcd9e1b7d60ddfc2021-10-08T20:46:33Z2021-10-08T20:46:33Z20212306-5338https://hdl.handle.net/11323/8779https://doi.org/10.3390/hydrology8030128Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Adequate water resources management includes understanding patterns and spatiotemporal variability of precipitation, as this variable is determinant for ecosystems’ stability, food security, and most human activities. Based on satellite estimations validated through ground measurements from 59 meteorological stations, the objective of this study is to evaluate the long-term spatiotemporal variability and trends of the average monthly precipitation in the Magdalena Department, Colombia, for the 1981–2018 period. This heterogeneous region comprises many different ecoregions in its 23,188 km2 area. The analysis of spatial variability allowed for the determination of four different subregions based on the differences in the average values of precipitation and the degree of rainfall variability. The trend analysis indicates that the current rainfall patterns contradict previous estimates of a progressive decrease in annual averages due to climate change in the study region, as most of the department does not exhibit statistically significant trends, except for the Sierra Nevada de Santa Marta area, where this study found reductions between 10 mm yr−1 and 30 mm yr−1. The findings of this study also suggest the existence of some links between precipitation patterns with regional phenomena of climate variability and solar activity.application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Hydrologyhttps://www.mdpi.com/2306-5338/8/3/128PrecipitationClimate variabilityRainfall trendsCHIRPS v2.0Assessment of precipitation variability and trends based on satellite estimations for a heterogeneous Colombian regionArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Ayalew, D.; Tesfaye, K.; Mamo, G.; Yitaferu, B.; Bayu, W. Variability of Rainfall and Its Current Trend in Amhara Region, Ethiopia. Afr. J. Agric. Res. 2012, 7. [CrossRef]2. Zhao, W.; Yu, X.; Ma, H.; Zhu, Q.; Zhang, Y.; Qin, W.; Ai, N.; Wang, Y. Analysis of Precipitation Characteristics during 1957-2012 in the Semi-Arid Loess Plateau, China. PLoS ONE 2015, 10, e0141662. [CrossRef]3. Ebert, E.E.; Janowiak, J.E.; Kidd, C. Comparison of Near-Real-Time Precipitation Estimates from Satellite Observations and Numerical Models. Bull. Am. Meteorol. Soc. 2007, 88, 47–64. [CrossRef]4. Weldegerima, T.M.; Zeleke, T.T.; Birhanu, B.S.; Zaitchik, B.F.; Fetene, Z.A. Analysis of Rainfall Trends and Its Relationship with SST Signals in the Lake Tana Basin, Ethiopia. Adv. Meteorol. 2018, 2018, 1–10. [CrossRef]5. Cattani, E.; Merino, A.; Guijarro, J.A.; Levizzani, V. East Africa Rainfall Trends and Variability 1983–2015 Using Three Long-Term Satellite Products. Remote Sens. 2018, 10, 931. [CrossRef]6. Cruz-Roa, A.F.; Barrios, M.I. Estimación de datos faltantes de lluvia mensual a través de la asimilación de información satelital y pluviométrica en una cuenca andina tropical. Idesia 2018, 36, 107–117. [CrossRef]7. Serrat-Capdevila, A.; Valdes, J.B.; Stakhiv, E.Z. Water Management Applications for Satellite Precipitation Products: Synthesis and Recommendations. J. Am. Water Resour. Assoc. 2014, 50, 509–525. [CrossRef]8. Muthoni, F.K.; Odongo, V.O.; Ochieng, J.; Mugalavai, E.M.; Mourice, S.K.; Hoesche-Zeledon, I.; Mwila, M.; Bekunda, M. LongTerm Spatial-Temporal Trends and Variability of Rainfall over Eastern and Southern Africa. Theor. Appl. Climatol. 2019, 137, 1869–1882. [CrossRef]9. Toté, C.; Patricio, D.; Boogaard, H.; Van der Wijngaart, R.; Tarnavsky, E.; Funk, C. Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique. Remote Sens. 2015, 7, 1758–1776. [CrossRef]10. Gebremichael, M.; Krajewski, W.F.; Morrissey, M.L.; Huffman, G.J.; Adler, R.F. A Detailed Evaluation of GPCP 1◦ Daily Rainfall Estimates over the Mississippi River Basin. J. Appl. Meteorol. 2005, 44, 665–681. [CrossRef]11. Urrea, V.; Ochoa, A.; Mesa, O. Validación de La Base de Datos de Precipitación CHIRPS Para Colombia a Escala Diaria, Mensual y Anual En El Periodo 1981–2014. In Proceedings of the XXVII Congreso Latinoamericano de Hidráulica; IAHS: Lima, Perú, 2016; Available online: http://ladhi2016.org (accessed on 16 July 2021).12. Elgamal, A.; Reggiani, P.; Jonoski, A. Impact Analysis of Satellite Rainfall Products on Flow Simulations in the Magdalena River Basin, Colombia. J. Hydrol. Reg. Stud. 2017, 9, 85–103. [CrossRef]13. Cruz-Roa, A.F.; Olaya-Marín, E.J.; Barrios, M.I. Ground and Satellite Based Assessment of Meteorological Droughts: The Coello River Basin Case Study. Int. J. Appl. Earth Obs. Geoinf. 2017, 62, 114–121. [CrossRef]14. Vallejo-Bernal, S.M.; Urrea, V.; Bedoya-Soto, J.M.; Posada, D.; Olarte, A.; Cárdenas-Posso, Y.; Ruiz-Murcia, F.; Martínez, M.T.; Petersen, W.A.; Huffman, G.J.; et al. Ground Validation of TRMM 3B43 V7 Precipitation Estimates over Colombia. Part I: Monthly and Seasonal Timescales. Int. J. 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access11323/8779oai:repositorio.cuc.edu.co:11323/87792023-12-14 16:29:42.46CC0 1.0 Universal|||http://creativecommons.org/publicdomain/zero/1.0/open accessRepositorio Universidad de La 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