Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5383-2024
https://doi.org/10.5194/tc-18-5383-2024
Research article
 | 
21 Nov 2024
Research article |  | 21 Nov 2024

Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40–56° S)

Rodrigo Aguayo, Fabien Maussion, Lilian Schuster, Marius Schaefer, Alexis Caro, Patrick Schmitt, Jonathan Mackay, Lizz Ultee, Jorge Leon-Muñoz, and Mauricio Aguayo

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Cited articles

Aguayo, R.: rodaguayo/Glacier_Uncertainties: v1.0.1 (v1.0.1), Zenodo [software], https://doi.org/10.5281/zenodo.14177951, 2024. 
Aguayo, R., León-Muñoz, J., Aguayo, M., Baez-Villanueva, O., Zambrano-Bigiarini, M., Fernández, A., and Jacques-Coper, M.: PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia (v1.0), Zenodo [data set], https://doi.org/10.5281/zenodo.7992761, 2023. 
Aguayo, R., León-Muñoz, J., Aguayo, M., Baez-Villanueva, O. M., Zambrano-Bigiarini, M., Fernández, A., and Jacques-Coper, M.: PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia, Sci. Data, 11, 6, https://doi.org/10.1038/s41597-023-02828-2, 2024a. 
Aguayo, R., Maussion, F., Schuster, L., Schaefer, M., Caro, A., Schmitt, P., Mackay, J., Ultee, L., Leon-Muñoz, J., and Aguayo, M.: Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40–56° S), v1.1, Zenodo [data set], https://doi.org/10.5281/zenodo.11353065, 2024b. 
Ayala, Á., Farías-Barahona, D., Huss, M., Pellicciotti, F., McPhee, J., and Farinotti, D.: Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile, The Cryosphere, 14, 2005–2027, https://doi.org/10.5194/tc-14-2005-2020, 2020. 
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Short summary
Predicting how much water will come from glaciers in the future is a complex task, and there are many factors that make it uncertain. Using a glacier model, we explored 1920 scenarios for each glacier in the Patagonian Andes. We found that the choice of the historical climate data was the most important factor, while other factors such as different data sources, climate models and emission scenarios played a smaller role.
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