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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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mgironamata/README.md

Marc Girona-Mata

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I am a PhD student at the Computational and Biological Learning Lab (University of Cambridge) and the British Antarctic Survey. My research interests include probabilistic modelling for environmental and climate sciences. I am currently working on improving precipitation and river flow predictions in data-scarce mountain regions, such as the Himalayas, and exploring how this translates into actionable information for better decision making.

I hold an MRes in Environmental Data Science from the University of Cambridge, an MSc in Hydrology and Water Resources Management from Imperial College London, and an MEng in Civil Engineering from the Polytechnic University of Catalonia (BarcelonaTECH).

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  1. bcdp bcdp Public

    Bias correction of mountain daily precipitation simulations from regional climate models using in-situ observations

    1

  2. pddp-mountains pddp-mountains Public

    probabilistic downscaling of daily precipitation for ungauged mountain locations

    Jupyter Notebook

  3. lake-snowfall-sensors lake-snowfall-sensors Public

    Lake as snowfall sensors: automating data post-processing to recover snowfall from lake pressure signal

    Jupyter Notebook 1

  4. convcnps_hydro convcnps_hydro Public

    Using Convolutional Conditional Neural Processes (ConvCNPs) for rainfall runoff modelling and hydrological prediction tasks

  5. hydro-logic hydro-logic Public

    Set of tools for hydro analysis

    Python

  6. convcnp convcnp Public

    Forked from cambridge-mlg/convcnp

    Implementation of the Convolutional Conditional Neural Process

    Jupyter Notebook