Mass balance estimation on the Zongo glacier, Bolivia, using a semi-distributedconceptual model (SCM)

dc.contributor.authorGabriela Quispe
dc.contributor.authorCarlos Cárdenas
dc.contributor.authorPablo Fuchs
dc.contributor.authorAlvaro Soruco
dc.contributor.authorAntoine Rabatel
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:06:35Z
dc.date.available2026-03-22T20:06:35Z
dc.date.issued2026
dc.description.abstractAbstract. The mass balance of a glacier is used to quantify the accumulation and melting processes, which affect its mass. With this information, it is possible to infer the variation in water reserves, which will support decision-making based on the supply and demand of water. The objective of this work is to show the results of a mass balance model applied to the Zongo Glacier in Bolivia. The model used is a semi-distributed conceptual model (Schaefli et al., 2005). The monthly sensitivity of the mass balance and discharge predictions was evaluated for the hydrological years 2004-2006. Our results show that the model presents discharge and mass balance values with an MAE error of 2.4 and a BIAS of 1.3 concerning the data observed in the glacier. Simple conceptual models can be a valuable tool to project the behavior of a glacial basin, but only if it has sufficient information for the calibration and validation of the model parameters.
dc.identifier.doi10.5194/isprs-annals-x-3-w4-2025-307-2026
dc.identifier.urihttps://doi.org/10.5194/isprs-annals-x-3-w4-2025-307-2026
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/80039
dc.language.isoen
dc.publisherCopernicus Publications
dc.relation.ispartofISPRS annals of the photogrammetry, remote sensing and spatial information sciences
dc.sourceUniversidad de Magallanes
dc.subjectGlacier
dc.subjectConceptual model
dc.subjectCalibration
dc.subjectBalance (ability)
dc.subjectSensitivity (control systems)
dc.subjectWater balance
dc.subjectEnvironmental science
dc.subjectWork (physics)
dc.subjectEconometrics
dc.subjectGlacial period
dc.titleMass balance estimation on the Zongo glacier, Bolivia, using a semi-distributedconceptual model (SCM)
dc.typearticle

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