Marc Girona-Mata
PhD Student
Team
General enquiries
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Marc Girona-Mata
PhD Student
Biography
Research interests
Marc’s research will focus on improving our current understanding of hydrometeorological and hydrological regimes in the Himalayas, at the catchment and local scales, for the present-day climate. Marc will use a hybrid approach, leveraging probabilistic machine learning models in combination with state-of-the-art techniques, and using data from multiple sources (observations, climate models, satellite products, etc.). Marc is particularly interested in uncertainty quantification and how this translates into actionable information for vulnerability-impact-adaptation (VIA) studies and better decision making.
Collaborations
Girona‐Mata, M., Miles, E. S., Ragettli, S., & Pellicciotti, F. (2019). High‐Resolution Snowline Delineation From Landsat Imagery to Infer Snow Cover Controls in a Himalayan Catchment. Water Resources Research, 55(8), 6754–6772. https://doi.org/10.1029/2019WR024935
Publications from NERC Open Research Archive
2025
Girona-Mata, Marc ORCID record for Marc Girona-Mata, Orr, Andrew ORCID record for Andrew Orr, Widmann, Martin ORCID record for Martin Widmann, Bannister, Daniel ORCID record for Daniel Bannister, Dars, Ghulam Hussain ORCID record for Ghulam Hussain Dars, Hosking, Scott ORCID record for Scott Hosking, Norris, Jesse, Ocio, David ORCID record for David Ocio, Phillips, Tony ORCID record for Tony Phillips, Steiner, Jakob ORCID record for Jakob Steiner, Turner, Richard E.. (2025) Probabilistic precipitation downscaling for ungauged mountain sites: a pilot study for the Hindu Kush Himalaya. Hydrology and Earth System Sciences, 29 (). pp. 10.5194/hess-29-3073-2025