Estimation of glacial retreat of Nevado Artesonraju in the Cordillera Blanca, Peru, using CMIP5 climate scenarios
DOI:
https://doi.org/10.18687/LACCEI2025.1.1.1279Palabras clave:
Tropical Glacier, Glacier retreat, Climate Change, ELA, Cordillera Blanca, CMIP5 Scenarios, RCP4.5, RCP8.5, Artesonraju, PeruResumen
The Artesonraju glacier, located in the Cordillera Blanca of the Central Andes, is a key indicator of climate change and plays a crucial role in water supply in glacial basins. This research seeks to estimate the future retreat of Artesonraju in response to climate change. For this purpose, geospatial analysis tools (ArcMap, Google Earth Engine, USGS Earth Explorer, Python) and Landsat 5 and 7 (1986-2012) and Landsat 8 and 9 (2013-2023) satellite image data were used. The main indicator to measure retreat is the Glacial Equilibrium Line (ELA). To project the future evolution of ELA, a multiple linear regression model was used, considering the current temperature of the planet and the RCP4.5 and RCP8.5 scenarios. The model presented a significant coefficient (R² = 0.76), indicating a moderate correlation between the variables ELA, year and precipitation. The results suggest that ELA could reach 5301 m.a.s.l. in RCP 4.5 and 5310 m.a.s.l. in RCP8.5, which would imply the disappearance of the glacier by 2073 and 2074, respectively.Descargas
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2025-07-27
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Derechos de autor 2025 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Portal Sánchez, A. F., Carbajal Chirinos, E. C., Fernández Vega, J. de D., Principe Aguirre, R., Arrascue-Lino, A., & Astete, S. (2025). Estimation of glacial retreat of Nevado Artesonraju in the Cordillera Blanca, Peru, using CMIP5 climate scenarios. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.1279