Faculty

Miguel Lagos

Assistant Professor

Eng. MSc, PhD in Civil Engineering, Universidad de Chile

Publications

Articles (12)

2025

  1. Convection-permitting climate simulations over South America: Experimentation during different phases of ENSO
    Changhai Liu; Kyoko Ikeda; Andreas Prein; Lucia Scaff; Francina Dominguez; Roy Rasmussen; Yongjie Huang; Jimy Dudhia; Wei Wang; Fei Chen; …; Miguel Lagos-Zúñiga; et al.
    Atmospheric Researchdoi:10.1016/j.atmosres.2025.107936 (opens in a new tab)
  2. Robust spatial changes in climate classes: insights from bias-corrected CMIP6 models across Chile
    Nicolás A Vásquez; Pablo A Mendoza; Miguel Lagos-Zúñiga; Lucía Scaff; Eduardo Muñoz-Castro; Ximena Vargas
    Environmental Research Lettersdoi:10.1088/1748-9326/ad9d5b (opens in a new tab)

2024

  1. The Key Role of Temporal Stratification for GCM Bias Correction in Climate Impact Assessments
    Nicolás A. Vásquez; Pablo A. Mendoza; Wouter J. M. Knoben; Louise Arnal; Miguel Lagos-Zúñiga; Martyn Clark; Ximena Vargas
    Earth's Futuredoi:10.1029/2023ef004242 (opens in a new tab)
  2. Extreme indices of temperature and precipitation in South America: trends and intercomparison of regional climate models
    Miguel Lagos-Zúñiga; Rocío Balmaceda-Huarte; Pedro Regoto; Limbert Torrez; Matías Olmo; André Lyra; David Pareja-Quispe; María Laura Bettolli
    Climate Dynamicsdoi:10.1007/s00382-022-06598-2 (opens in a new tab)
  3. Screening CMIP6 models for Chile based on past performance and code genealogy
    Felipe Gateño; Pablo A. Mendoza; Nicolás Vásquez; Miguel Lagos-Zúñiga; Héctor Jiménez; Catalina Jerez; Ximena Vargas; Eduardo Rubio-Álvarez; Santiago Montserrat
    Climatic Changedoi:10.1007/s10584-024-03742-1 (opens in a new tab)
  4. Trends in seasonal precipitation extremes and associated temperatures along continental Chile
    Miguel Lagos-Zúñiga; Pablo A. Mendoza; Diego Campos; Roberto Rondanelli
    Climate Dynamicsdoi:10.1007/s00382-024-07127-z (opens in a new tab)
  5. Advancing South American Water and Climate Science through Multidecadal Convection-Permitting Modeling
    Francina Dominguez; Roy Rasmussen; Changhai Liu; Kyoko Ikeda; Andreas Prein; Adam Varble; Paola A. Arias; Julio Bacmeister; Maria Laura Bettolli; Patrick Callaghan; …; Miguel Lagos-Zúñiga; et al.
    Bulletin of the American Meteorological Societydoi:10.1175/bams-d-22-0226.1 (opens in a new tab)

2023

  1. Assessment of the RegCM4-CORDEX-CORE performance in simulating cyclones affecting the western coast of South America
    Natália Machado Crespo; Michelle Simões Reboita; Luiz Felippe Gozzo; Eduardo Marcos de Jesus; José Abraham Torres-Alavez; Miguel Lagos-Zúñiga; Limbert Torrez-Rodriguez; Marco Reale; Rosmeri Porfírio da Rocha
    Climate Dynamicsdoi:10.1007/s00382-022-06419-6 (opens in a new tab)

2021

  1. An integrated modeling approach for mineral and metal transport in acidic rivers at high mountainous porphyry Cu systems
    Gerardo Zegers; Leonardo Navarro-Valdivia; Miguel Lagos-Zúñiga; Alvaro Navarrete-Calvo; Manuel A. Caraballo; Yarko Niño; James McPhee; Santiago Montserrat
    Journal of Hydrologydoi:10.1016/j.jhydrol.2021.126718 (opens in a new tab)
  2. Snow Processes and Climate Sensitivity in an Arid Mountain Region, Northern Chile
    Francisco Jara; Miguel Lagos-Zúñiga; Rodrigo Fuster; Cristian Mattar; James McPhee
    Atmospheredoi:10.3390/atmos12040520 (opens in a new tab)

2014

  1. PMP and PMF estimations in sparsely-gauged Andean basins and climate change projections
    Miguel Lagos-Zúñiga; Ximena Vargas M.
    Hydrological Sciences Journaldoi:10.1080/02626667.2013.877588 (opens in a new tab)
  2. Potential influences of climate change on pluvial floods in an Andean watershed
    Miguel Lagos-Zúñiga; Ximena Vargas-Mesa
    Tecnología y ciencias del agua

Conference presentations (2)

XXVII Congreso Chileno de Ingeniería Hidráulica

Concepción, ChileOctober 22 – 24, 20252 presentations
  1. Evaluación del modelo WRF en la simulación de precipitaciones extremas asociadas a ríos atmosféricos en la zona Central de Chile
  2. Aplicación de la maximización de variables atmosféricas para estimar la precipitación máxima probable (PMP) en la zona central de Chile con datos de reanálisis

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