Impact of Black Carbon on the Surface Energy and Mass Balance of the Huaytapallana Glacier in the Junín Region, Peru

Abstract ID: 3.13755 | Accepted as Poster | Poster | TBA | TBA

Viankcor Henry Cashpa Carrion (1, 2)
Elver Villalobos Puma (1), Octavio Fashé Raymundo (2), Fey Yamina Silva Vidal (3), Christian Torres Ramos (4), Rolando Cruz Encarnación (5)
(1) Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña, Av. Antonio Miroquesada 457 - Oficina 401 edificio corporativo ABC, Magdalena del Mar, 15081, Lima, Perú
(2) Universidad Nacional Mayor de San Marcos, Av. Carlos Germán Amezaga #375, Cercado de Lima, 15081, Lima, Perú
(3) Instituto Geofísico del Perú, Calle Badajoz Mz.Ñ Lt 08 y 09 , Urb. Mayorazgo 4ta Etapa, Ate, 15081, Lima, Perú
(4) Universidad Do Rio Grande, Calle Visconde de Paranaguá, 102, barrio Centro, 96200-000, Rio Grande, Brasil
(5) Autoridad Nacional del Agua, Av. Confraternidad Internacional Oeste N° 167, Huaraz, 15081, Ancash, Perú

Categories: Cryo- & Hydrosphere
Keywords: Black Carbon, Albedo, Surface Energy Balance, Surface Mass Balance

Categories: Cryo- & Hydrosphere
Keywords: Black Carbon, Albedo, Surface Energy Balance, Surface Mass Balance

Recent research conducted on various glaciers worldwide has revealed a significant increase in Black Carbon (BC) concentrations, reaching up to 500% compared to pre-industrial times. In addition, there is still considerable uncertainty regarding the effects of these concentrations on mountain ecosystems such as glaciers and water resources. Therefore, in order to address this issue, the present research aims to estimate the impact of BC on the Surface Energy Balance (SEB) and Surface Mass Balance (SMB) of the Huaytapallana glacier, located in the department of Junín – Peru, during the period from May 2022 to October 2024. To achieve this, in situ BC observations were used alongside a Snow and ice albedo modelling in Python (BioSNICAR) and a Coupled snowpack and ice Surface energy and mass balance model in Python (COSIPY). Furthermore, meteorological and atmospheric BC data measured at over 4700 m a.s.l., as well as ERA5 reanalysis data were used to force the models. The results reveal that the presence of BC on the glacier surface increased the SEB by up to 35 W/m², leading to a more negative SMB of up to 50 cm water equivalent. In conclusion, this research demonstrates that it is feasible to quantify the impact of BC on the dynamics of Peruvian glaciers and shows that the presence of BC causes a significant loss of glacier mass.

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