Analysis of Trends and Hydroclimatic Extreme Indices in Northeastern Antioquia from Historical Records

dc.creatorMarín-Zapata, Lilia María
dc.creatorBuiles-Jaramillo, Alejandro
dc.creatorSalas, Hernán D.
dc.creatorHoyos-Restrepo, Carlos Arturo
dc.date2026-04-24
dc.descriptionClimate change modifies global hydroclimatology and increases social, environmental, and economic risks. In Colombia, climate variability and lack of data hinder its analysis and prediction. The objective of this study was evaluating the climate change signals found in Northeast Antioquia (Colombia) using historical hydroclimatological records. The methodology consisted of the analysis of trends using the Mann-Kendall test and ETCCDI extreme climate indices for precipitation and temperature (rx1d, rx5d, Rx95p, Rx99p, TXx, TNn, TN10p, TX90p, DTR). Our results revealed a significant increase in temperature and precipitation of up to 0,34 °C and 21,7 mm per decade, respectively. In addition, the r95p index showed that between 31,1% and 41,1% of annual precipitation is associated with extreme rainfall. In particular, the municipality of Cisneros exhibits a significant increase in TXx and TX90p while TN10p evidenced changes in historical hydroclimatic patterns. Finally, we can conclude that the diagnosis of climate change influences hydroclimatic variables in tropical regions and is crucial for decision making for diverse productive and environmental sectors related to water resources and strategies of regional and local management.en-US
dc.descriptionEl cambio climático modifica la hidroclimatología global y aumenta los riesgos sociales, ambientales y económicos. En Colombia, la variabilidad climática y la falta de datos dificultan su análisis y predicción. El objetivo de este estudio fue evaluar las señales de cambio climático encontradas en registros hidroclimatológicos históricos. La metodología empleada consistió en el análisis de tendencias en series temporales en el Nordeste de Antioquia, a través de la prueba Mann-Kendall y utilizando índices climáticos extremos del ETCCDI para precipitación y temperatura (rx1d, rx5d, Rx95p, Rx99p, TXx, TNn, TN10p, TX90p, DTR). Los resultados evidenciaron un aumento significativo en la temperatura y la precipitación de hasta 0,34 ºC y 21,7 mm por década, respectivamente. Además, el índice r95p mostró que entre el 31,1 % y el 41,1 % de la precipitación anual está asociada a lluvias extremas. En particular, el municipio de Cisneros exhibió un aumento significativo en TXx y TX90p mientras TN10p evidenció cambios en los patrones hidroclimáticos históricos. Finalmente, se concluye que el diagnóstico de la influencia del cambio climático en variables hidroclimatológicas en regiones tropicales es crucial para la toma de decisiones en diversos sectores productivos y ambientales en torno a los recursos hídricos y las estrategias de planeación regional y municipal.es-ES
dc.formatapplication/pdf
dc.formattext/xml
dc.formatapplication/zip
dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3586
dc.identifier10.22430/22565337.3586
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)en-US
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3586/4058
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3586/4127
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/3586/4128
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), Climate change 2021 – the physical science basis: Working group I contribution to the sixth assessment report of the intergovernmental panel on climate change, V. Masson-Delmotte et al., Eds. Cambridge, U.K: Cambridge University Press, 2021. https://doi.org/10.1017/9781009157896
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Technical Summary,” in Climate Change 2022 – Impacts, Adaptation and Vulnerability, Cambridge, U.K: Cambridge University Press, 2023, pp. 37–118. https://doi.org/10.1017/9781009325844.002
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Summary for Policymakers,” in Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change, C. B. Field et al., Eds. Cambridge, U.K: Cambridge University Press, 2012, pp. 1-19. https://www.ipcc.ch/site/assets/uploads/2018/03/SREX_FD_SPM_final-2.pdf
dc.relation/*ref*/W. Zhang et al., “Weather and climate extremes hitting the globe with emerging features,” Adv. Atmos. Sci., vol. 41, no. 6, pp. 1001-1016, Jun. 2024. https://doi.org/10.1007/s00376-024-4080-3
dc.relation/*ref*/Y. Xing, W. P. J. Yumiao, W. Peili, S. Justin, and A. O. Jason, “A global transition to flash droughts under climate change,” Science, vol. 380, no. 6641, pp. 187-191, Apr. 2023. https://www.science.org/doi/10.1126/science.abn6301
dc.relation/*ref*/D. Lawrence, M. Coe, W. Walker, L. Verchot, and K. Vandecar, “The Unseen Effects of Deforestation: Biophysical Effects on Climate,” Front. For. Glob. Change, vol. 5, Mar. 2022. https://doi.org/10.3389/ffgc.2022.756115
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Summary for Policymakers,” in Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, Cambridge, UK: Cambridge University Press, 2019, pp. 14-36. https://doi.org/10.1017/9781009157988.001
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Summary for Policymakers,” in Global Warming of 1.5°C, V. Masson-Delmotte et al., Eds. Cambridge, U.K: Cambridge University Press, 2018, pp. 3-24. https://doi.org/10.1017/9781009157940.001
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), Climate Change 2007: Synthesis Report, Core Writing Team, R. K. Pachauri, and A. Reisinger, Eds. Geneva, Switzerland: IPCC, 2007. https://www.ipcc.ch/site/assets/uploads/2018/02/ar4_syr_full_report.pdf
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Summary for Policymakers,” in Climate Change 2022: Impacts, Adaptation and Vulnerability, H.-O. Pörtner et al., Eds. Cambridge, U.K: Cambridge University Press, 2022, pp. 3-33. https://doi.org/10.1017/9781009325844.001
dc.relation/*ref*/R. B. L. Cavalcante, P. R. M. Pontes, P. W. M. Souza-Filho, and E. B. de Souza, “Opposite Effects of Climate and Land Use Changes on the Annual Water Balance in the Amazon Arc of Deforestation,” Water Resour. Res., vol. 55, no. 4, pp. 3092-3106, Apr. 2019. https://doi.org/10.1029/2019WR025083
dc.relation/*ref*/M. E. Siqueira Silva, G. Pereira, and R. P. da Rocha, “Local and remote climatic impacts due to land use degradation in the Amazon “Arc of Deforestation,” Theor. Appl. Climatol., vol. 125, no. 3-4, pp. 609-623, Aug. 2016. https://doi.org/10.1007/s00704-015-1516-9
dc.relation/*ref*/L. Durieux, L. A. Toledo Machado, and H. Laurent, “The impact of deforestation on cloud cover over the Amazon arc of deforestation,” Remote Sens. Environ., vol. 86, no. 1, pp. 132-140, Jun. 2003. https://doi.org/10.1016/S0034-4257(03)00095-6
dc.relation/*ref*/Intergovernmental Panel on Climate Change (IPCC), “Central and South America,” in Climate Change 2022 – Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge, UK: Cambridge University Press, 2022, pp. 1689-1816. https://doi.org/10.1017/9781009325844.014
dc.relation/*ref*/Y. H. Kim, S. K. Min, X. Zhang, J. Sillmann, and M. Sandstad, “Evaluation of the CMIP6 multi-model ensemble for climate extreme indices,” Weather Clim. Extrem., vol. 29, p. 100269, Sep. 2020. https://doi.org/10.1016/j.wace.2020.100269
dc.relation/*ref*/W. Li, Z. Jiang, X. Zhang, and L. Li, “On the Emergence of Anthropogenic Signal in Extreme Precipitation Change Over China,” Geophys. Res. Lett., vol. 45, no. 17, pp. 9179-9185, Sep. 2018. https://doi.org/10.1029/2018GL079133
dc.relation/*ref*/J. D. Giraldo-Osorio, D. E. Trujillo-Osorio, and O. M. Baez-Villanueva, “Analysis of ENSO-Driven Variability, and Long-Term Changes, of Extreme Precipitation Indices in Colombia, Using the Satellite Rainfall Estimates CHIRPS,” Water, vol. 14, no. 11, p. 1733, Jun. 2022. https://doi.org/10.3390/w14111733
dc.relation/*ref*/H. D. Salas, G. Poveda, Ó. J. Mesa, and N. Marwan, “Generalized synchronization between ENSO and hydrological variables in Colombia: A recurrence quantification approach,” Front. Appl. Math. Stat., vol. 6, p. 3, Mar. 2020. https://doi.org/10.3389/fams.2020.00003
dc.relation/*ref*/J. C. Espinoza et al., “Hydroclimate of the Andes Part I: Main Climatic Features,” Front. Earth Sci., vol. 8, no. 54, Mar. 2020. https://doi.org/10.3389/feart.2020.00064
dc.relation/*ref*/G. Poveda, “La hidroclimatología de Colombia: Una Síntesis desde la escala Inter-Decadal hasta la escala Diurna,” Rev. Acad. Colomb. Cienc., vol. 28, no. 107, pp. 201-222, Jun. 2004. https://doi.org/10.18257/raccefyn.28(107).2004.1991
dc.relation/*ref*/G. Poveda, D. M. Álvarez, and O. A. Rueda, “Hydro-climatic variability over the Andes of Colombia associated with ENSO: A review of climatic processes and their impact on one of the Earth's most important biodiversity hotspots,” Clim. Dyn., vol. 36, no. 11, pp. 2233-2249, Jun. 2011. https://doi.org/10.1007/s00382-010-0931-y
dc.relation/*ref*/P. A. Arias, G. Ortega, L. D. Villegas, and J. A. Martínez, “La climatología colombiana en modelos CMIP5/CMIP6: Sesgos persistentes y mejoras,” Rev. Fac. Ing. Univ. Antioquia, no. 100, pp. 75-96, May. 2021. https://doi.org/10.17533/udea.redin.20210525
dc.relation/*ref*/G. Poveda, J. C. Espinoza, M. D. Zuluaga, S. A. Solman, R. Garreaud, and P. J. van Oevelen, “High Impact Weather Events in the Andes,” Front. Earth Sci., vol. 8, May. 2020. https://doi.org/10.3389/feart.2020.00162
dc.relation/*ref*/J. D. Pabón Caicedo, “Cambio climático en Colombia: Tendencias en la segunda mitad del siglo XX y escenarios posibles para el siglo XXI,” Rev. Acad. Colomb. Cien., vol. 36, no. 139, pp. 261-278, Jun. 2012. https://raccefyn.co/index.php/raccefyn/article/view/2462/3860
dc.relation/*ref*/M. Vuille, R. S. Bradley, M. Werner, and F. Keimig, “20th century climate change in the tropical Andes: Observations and model results,” Climatic Change, vol. 59, no. 1, pp. 75-99, Jul. 2003. https://doi.org/10.1023/A:1024406427519
dc.relation/*ref*/A. F. Hurtado Montoya, and Ó. J. Mesa Sánchez, “Cambio climático y variabilidad espacio–temporal de la precipitación en Colombia,” Rev. EIA, vol. 12, no. 24, pp. 131-150, Jul.-Dec. 2015. https://www.redalyc.org/pdf/1492/149244222008.pdf
dc.relation/*ref*/A. M. Carmona, and G. Poveda, “Detección de tendencias de largo plazo en series hidroclimáticas mensuales de Colombia mediante descomposición modal empírica,” Climat. Change, vol. 123, pp. 301-313, Mar. 2014. https://doi.org/10.1007/s10584-013-1046-3
dc.relation/*ref*/E. M. Fischer, and R. Knutti, “Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes,” Nature Clim. Change, vol. 5, no. 6, pp. 560-564, Jun. 2015. https://doi.org/10.1038/nclimate2617
dc.relation/*ref*/C. Deser, A. S. Phillips, V. Bourdette, and H. Teng, “Uncertainty in climate change projections: the role of internal variability,” Clim. Dyn., vol. 38, pp. 527-546, Feb. 2012. https://doi.org/10.1007/s00382-010-0977-x
dc.relation/*ref*/Coalición para la Alimentación y el Uso del Suel, “Anexo Subregiones de Antioquia: Diversidad y oportunidad,” FOLU Colombia, Colombia, 2022. Accessed: Jul. 20, 2025. [Online]. Available: https://folucolombia.org/wp-content/uploads/2022/03/Subregiones-FOLU-Antioquia.pdf
dc.relation/*ref*/Universidad de Antioquia, Consejo Territorial de Planeación de Antioquia, and Gobernación de Antioquia, “Subregión Nordeste Antioqueño: Perfil de Desarrollo Subregional, Antioquia,” Colombia, 2023. Accessed: Jul. 20, 2025. [Online]. Available: https://ctpantioquia.co/wp-content/uploads/2023/12/Perfil-de-desarrollo-Nordeste_compressed-11.pdf
dc.relation/*ref*/Cámara de Comercio de Medellín para Antioquia, “Perfil socioeconómico de la subregión Nordeste,” CCMA, Medellín, Colombia, 2019. Accessed: Jul. 20, 2025. [Online]. Available: https://biblioteca.camaramedellin.com.co/DesktopModules/EasyDNNNews/DocumentDownload.ashx?portalid=0&moduleid=459&articleid=6021&documentid=279
dc.relation/*ref*/ 
dc.relation/*ref*/U. J. Villa Ramírez, “Correspondencia entre competencias laborales y competencias esenciales en salud pública del médico veterinario, el psicólogo y el gerente en sistemas de información en salud en los equipos de salud pública de los municipios de las subregiones Nordeste y Magdalena Medio, Antioquia 2017,” Tesis de Maestría, Universidad Autónoma de Manizales, Manizales, Colombia, 2018. https://repositorio.autonoma.edu.co/handle/11182/710
dc.relation/*ref*/L. J. Bernal-Guzmán, “Minería de oro en el Nordeste antioqueño: una disputa territorial por el desarrollo,” Gest. Amb., vol. 21, no. 2, pp. 74-85, Dec. 2018. https://doi.org/10.15446/ga.v21n2supl.77865
dc.relation/*ref*/J. Rochlin, “Obstacles to mining formalization in Colombia,” Resour. Policy, vol. 73, p. 102135, Oct. 2021. https://doi.org/10.1016/j.resourpol.2021.102135
dc.relation/*ref*/A. González-González, N. Clerici, and B. Quesada, “Growing mining contribution to Colombian deforestation,” Environ. Res. Lett., vol. 16, no. 6, Jun. 2021. https://doi.org/10.1088/1748-9326/abfcf8
dc.relation/*ref*/IDEAM, “Consulta y Descarga de Datos Hidrometeorológicos,” ideam.gov. Accessed: Jul. 20, 2025. [Online]. Available: http://dhime.ideam.gov.co/atencionciudadano/
dc.relation/*ref*/IDEAM, “Galería de mapas – Datos abiertos,” ideam.gov. Accessed: Jul. 20, 2025. [Online]. Available https://visualizador.ideam.gov.co/CatalogoObjetos/geo-open-data?theme=&group=
dc.relation/*ref*/ETCCDI Climate Change Indices, “Climate Change Indices Definitions,” pacificclimate.org. Accessed: Jul. 20, 2025. [Online]. Available: https://etccdi.pacificclimate.org/indices_def.shtml
dc.relation/*ref*/World Climate Research Program-WCRP, “Expert Team on Climate Change Detection and Indices (ETCCDI),” climate.org. Accessed: Jul. 20, 2025. [Online]. Available: https://www.wcrp-climate.org/etccdi
dc.relation/*ref*/MET eireann The Irish Meteorological Service, “Climate Change Indices (ETCCDI),” met.ie. Accessed: Jul. 20, 2025. [Online]. Available: https://www.met.ie/climate/climate-change-indices-etccdi
dc.relation/*ref*/H. Yin, and Y. Sun, “Characteristics of extreme temperature and precipitation in China in 2017 based on ETCCDI indices,” Adv. Clim. Chang. Res., vol. 9, no. 4, pp. 218-226, Dec. 2018. https://doi.org/10.1016/j.accre.2019.01.001
dc.relation/*ref*/ETCCDI Climate Change Indices, “Climate Change Indices Background,” pacificclimate.org. Accessed: Jul. 20, 2025. [Online]. Available: http://etccdi.pacificclimate.org/indices.shtml
dc.relation/*ref*/K. H. Hamed, “Exact distribution of the Mann-Kendall trend test statistic for persistent data,” J. Hydrol., vol. 365, no. 1-2, pp. 86-94, Feb. 2009. https://doi.org/10.1016/j.jhydrol.2008.11.024
dc.relation/*ref*/K. H. Hamed, and A. Ramachandra Rao, “Hydrology A modified Mann-Kendall trend test for autocorrelated data,” J. Hydrol., vol. 204, no. 1-4, pp. 182-196, Jan. 1998. https://doi.org/10.1016/S0022-1694(97)00125-X
dc.relation/*ref*/G. Galindo, O. J. Espejo, J. C. Rubiano, L. K. Vergara, and E. Cabrera, Protocolo de procesamiento digital de imagenes para la cuantificación de la deforestación de Colombia V.2, Bogotá, Col: Instituto de Hidrología, Meteorología y Estudios Ambientales – IDEAM, 2014. https://www.ideam.gov.co/sites/default/files/archivos/protocolo_de_pdi_para_la_cuantificacion_de_la_deforestacion_en_colombia_v2_1.pdf
dc.relation/*ref*/Esri, “ArcGIS Online. Con tecnología de Esri,” arcgis.com. 2023. Accessed: Jul. 20, 2025. [Online]. Available: https://www.arcgis.com/
dc.relation/*ref*/H. J. Fowler et al., “Anthropogenic intensification of short-duration rainfall extremes,” Nat. Rev. Earth Environ., vol. 2, no. 2. pp. 107-122, Feb. 2021. https://doi.org/10.1038/s43017-020-00128-6
dc.relation/*ref*/P. Singh, R. Pratap Singh, and V. Srivastava, Contemporary environmental issues and challenges in era of climate change, Singapore, SG: Springer Singapore, 2019. https://doi.org/10.1007/978-981-32-9595-7
dc.relation/*ref*/C. Lesk et al., “Compound heat and moisture extreme impacts on global crop yields under climate change,” Nat. Rev. Earth Environ., vol. 3, no. 12, pp. 872-889, Dec. 2022. https://doi.org/10.1038/s43017-022-00368-8
dc.relation/*ref*/C. Faurie, B. M. Varghese, J. Liu, and P. Bi, “Association between high temperature and heatwaves with heat-related illnesses: A systematic review and meta-analysis,” Sci. Total Environ., vol. 852, p. 158332, Dec. 2022. https://doi.org/10.1016/j.scitotenv.2022.158332
dc.relation/*ref*/W. Matsee, S. Charoensakulchai, and A. N. Khatib, “Heat-related illnesses are an increasing threat for travellers to hot climate destinations,” J. Travel Med., vol. 30, no. 4, May. 2023. https://doi.org/10.1093/jtm/taad072
dc.relation/*ref*/Naciones Unidas, Comisión Económica para América Latina y el Caribe (CEPAL), and Unión Europea, “El cambio climático y sus efectos en la biodiversidad de América Latina síntesis de políticas públicas sobre cambio climático,” Santiago, 2017. Accessed: Jul. 20, 2025. [Online]. Available: https://www.cepal.org/sites/default/files/news/files/sintesis_pp_cc_cc_y_sus_efectos_en_la_biodiversidad.pdf
dc.relation/*ref*/G. M. Hill, A. Y. Kawahara, J. C. Daniels, C. C. Bateman, and B. R. Scheffers, “Climate change effects on animal ecology: butterflies and moths as a case study,” Biol. Rev., vol. 96, no. 5, pp. 2113-2126, Oct. 2021. https://doi.org/10.1111/brv.12746
dc.relation/*ref*/L. Zhou, R. E. Dickinson, A. Dai, and P. Dirmeyer, “Detection and attribution of anthropogenic forcing to diurnal temperature range changes from 1950 to 1999: Comparing multi-model simulations with observations,” Clim. Dyn., vol. 35, no. 7, pp. 1289-1307, Dec. 2010. https://doi.org/10.1007/s00382-009-0644-2
dc.relation/*ref*/J. A. Marengo et al., “Drought in Northeast Brazil: A review of agricultural and policy adaptation options for food security,” Climate Resil. Sustain., vol. 1, no. 1, p. e17, Feb. 2022. https://doi.org/10.1002/cli2.17
dc.relation/*ref*/S. B. Bedeke, “Climate change vulnerability and adaptation of crop producers in sub-Saharan Africa: a review on concepts, approaches and methods,” Environ. Dev. Sustain., vol. 25, no. 3, pp. 1-35, Feb. 2023. https://doi.org/10.1007/s10668-022-02118-8
dc.relation/*ref*/C. A. Córdoba Vargas, S. Hortúa Romero, and T. León-Sicard, “Resilience to climate variability: the role of perceptions and traditional knowledge in the Colombian Andes,” Agroecol. Sustain. Food Syst., vol. 44, no. 4, pp. 419-445, Apr. 2020. https://doi.org/10.1080/21683565.2019.1649782
dc.relation/*ref*/B. Abidoye, “Economics of Climate Change Adaptation,” Oxford Research Encyclopedia of Environmental Science, Oxford University Press, May. 2021. https://doi.org/10.1093/acrefore/9780199389414.013.579
dc.relation/*ref*/K. Hayhoe et al., “Regional climate change projections for the Northeast USA,” Mitig. Adapt. Strateg. Glob. Chang., vol. 13, no. 5-6, pp. 425-436, Jun. 2008. https://doi.org/10.1007/s11027-007-9133-2
dc.relation/*ref*/P. Longobardi, A. Montenegro, H. Beltrami, and M. Eby, “Deforestation induced climate change: Effects of spatial scale,” PLoS One, vol. 11, no. 4, p. e0153357, Apr. 2016. https://doi.org/10.1371/journal.pone.0153357
dc.relation/*ref*/J. Moussa Kourouma, D. Phiri, A. T. Hudak, and S. Syampungani, “Land use/cover spatiotemporal dynamics and implications on environmental and bioclimatic factors in Chingola district, Zambia,” Geomat. Nat. Hazards Risk, vol. 13, no. 1, pp. 1898-1942, Aug. 2022. https://doi.org/10.1080/19475705.2022.2097132
dc.relation/*ref*/J. A. King, J. Weber, P. Lawrence, S. Roe, A. L. S. Swann, and M. Val Martin, “Global and regional hydrological impacts of global forest expansion,” Biogeosciences, vol. 21, no. 17, pp. 3883-3902, Sep. 2024. https://doi.org/10.5194/bg-21-3883-2024
dc.relation/*ref*/A. H. M. Oliveira et al., “Assessing Forest Degradation Through Remote Sensing in the Brazilian Amazon: Implications and Perspectives for Sustainable Forest Management,” Remote Sens., vol. 16, no. 23, p. 4557, Dec. 2024. https://doi.org/10.3390/rs16234557
dc.relation/*ref*/C. Sur, V. Kumar Verma, P. Panwar, G. Shukla, S. Chakravarty, and A. J. Nath, “Multiscale and multitemporal assessment of vegetation degradation using remote sensing in tropical regions,” Front. For. Glob. Change, vol. 7, p. 1382557, Jun. 2024. https://doi.org/10.3389/ffgc.2024.1382557
dc.relation/*ref*/Y. He et al., “Remote sensing of tropical forest disturbances: Advances, challenges and climate interactions,” Front. Remote Sens., vol. 5, p. 1332728, Mar. 2024. https://doi.org/10.3389/frsen.2024.1332728
dc.relation/*ref*/L. Castillón, P. Rau, L. Bourrel, and F. Frappart, “Multiscale interpretation of vegetation cover change and climate interactions using satellite observations,” Front. Remote Sens., vol. 6, p. 1529044, May. 2025. https://doi.org/10.3389/frsen.2025.1529044
dc.relation/*ref*/J. Krishnaswamy, R. John, and S. Joseph, “Consistent response of vegetation dynamics to recent climate change in tropical mountain regions,” Glob. Chang. Biol., vol. 20, no. 1, pp. 203–215, Aug. 2014. https://doi.org/10.1111/gcb.12362
dc.relation/*ref*/Q. Lejeune, E. L. Davin, B. P. Guillod, and S. I. Seneviratne, ‘Influence of Amazonian deforestation on the future evolution of regional surface fluxes, circulation, surface temperature and precipitation’, Clim. Dyn., vol. 44, no. 9-10, pp. 2769-2786, May. 2015. https://doi.org/10.1007/s00382-014-2203-8
dc.relation/*ref*/M. Escalante Ramírez, and D. C. Gómez Cano, “Revisión evaluativa del plan integral de cambio climático de Antioquia en la sublínea de procesos de restauración,” Tesis de especialización, Universidad Pontificia Bolivariana, Medellín, Colombia, 2023. http://hdl.handle.net/20.500.11912/10874
dc.relation/*ref*/IDEAM, “Resultados Monitoreo de la Deforestación 2018,” ideam.gov. Accessed: Jun. 20, 2025. [Online]. Available: http://www.ideam.gov.co/documents/24277/91213793/Deforestaci%C3%B3n/6a0a48b5-b5cb-4683-823a-3352be9b2700
dc.relation/*ref*/ 
dc.relation/*ref*/L. Shen, J. Wen, Y. Zhang, S. Ullah, J. Cheng, and X. Meng, “Changes in population exposure to extreme precipitation in the Yangtze River Delta, China,” Clim. Serv., vol. 27, p. 100317, Aug. 2022. https://doi.org/10.1016/j.cliser.2022.100317
dc.relation/*ref*/M. Ombadi, M. D. Risser, and A. M. Rhoades, “A warming-induced reduction in snow fraction amplifies rainfall extremes,” Nature, vol. 619, pp. 305-310, Jul. 2023. https://doi.org/10.1038/s41586-023-06092-7
dc.relation/*ref*/K. E. Trenberth, A. Dai, R. M. Rasmussen, and D. B. Parsons, “The changing character of precipitation,” Bull. Amer. Meteor. Soc., vol. 84, pp. 1205-1218, Sep. 2003. https://doi.org/10.1175/BAMS-84-9-1205
dc.relation/*ref*/S. Westra, L. V. Alexander, and F. W. Zwiers, “Global increasing trends in annual maximum daily precipitation,” J. Climate, vol. 26, no. 11, pp. 3904-3918, Jun. 2013. https://doi.org/10.1175/JCLI-D-12-00502.1
dc.relation/*ref*/L. Gimeno et al., “Extreme precipitation events,” Wires Water, vol. 9, no. 6, p. e1611, Nov. 2022. https://doi.org/10.1002/wat2.1611
dc.relation/*ref*/
dc.rightsCopyright (c) 2026 TecnoLógicasen-US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceTecnoLógicas; Vol. 29 No. 65 (2026); e3586en-US
dc.sourceTecnoLógicas; Vol. 29 Núm. 65 (2026); e3586es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectcambio climáticoes-ES
dc.subjecthidrologíaes-ES
dc.subjectprecipitaciónes-ES
dc.subjectríoses-ES
dc.subjecttemperaturaes-ES
dc.subjectclimate changeen-US
dc.subjecthydrologyen-US
dc.subjectprecipitationen-US
dc.subjectriversen-US
dc.subjecttemperatureen-US
dc.titleAnalysis of Trends and Hydroclimatic Extreme Indices in Northeastern Antioquia from Historical Recordsen-US
dc.titleAnálisis de tendencias e índices de extremos hidroclimáticos en el nordeste antioqueño a partir de registros históricoses-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
3586_v29n65.pdf
Tamaño:
1.65 MB
Formato:
Adobe Portable Document Format