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Name: Jordi Bolibar

Type: User

Company: IGE - Université Grenoble Alpes

Bio: Postdoc researcher at IGE - Université Grenoble Alpes. Glaciers, climate and scientific machine learning

Twitter: jordi_bolibar

Location: Grenoble (France)

Blog: https://jordibolibar.wordpress.com

Hi there, I'm Jordi Bolibar 👋

I am a postdoc researcher at the IGE - Université Grenoble Alpes (France). Previously I worked as a postdoc reseacher at TU Delft and Utrecht University (Netherlands). I did my PhD at IGE, and before that I worked 4 years as a Software Engineer in industry.

🔭 I’m currently working on:
- 🌎 ODINN.jl: Global glacier model using Universal Differential Equations for climate-glacier interactions. Integrating the Julia differential programming tools with the Open Global Glacier Model (OGGM) in Python.
- ❄️ Huginn.jl: Fast and flexible glacier ice flow models in Julia.
- 🔥 Muninn.jl: Machine learning-based glacier surface mass balance modelling.
- 🧊 IceStupas: Artificial glacier modelling (i.e. Ice Stupas), investigating low-cost solutions for farmers and local populations facing climate change-induced droughts.
- 🇦🇶 Antarctic Ice Shelves: Modelling calving of Antarctic ice shelves using deep learning and remote sensing data.
🌱 I’m currently exploring new ways to mix differential equations and machine learning (i.e. Universal Differential Equations) for geoscientific models.
👯 I’m looking to collaborate with people interested in Scientific/Physics-informed machine learning, or glacio-hydrological modelling.
📫 How to reach me: shoot me an email at: [email protected] or [email protected].

Jordi Bolibar's Projects

air-suitability-index

Quantifying winter water storage potential of glacial-fed catchments using artificial ice reservoirs (aka icestupas) of

alpgm

ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

alpgm_data

Datasets (shapefiles and raster files) used in ALPGM

alpine-climate

Past and future climate analysis in the French Alps using SAFRAN (Durand et al., 2009) and ADAMONT (Verfaillie et al., 2018)

cryosphere-links

This is a link list with awesome data, models, and tools around the cryosphere.

diffeqdocs.jl

Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffeqoperators.jl

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

diffeqsensitivity-review

A Review of Sensitivity Methods for Differential Equations

glaciers-to-j2k

Allows J2K to read glacier evolution simulations from any glacier model. Dynamic glacier evolution for the J2K hydrological model

huginn.jl

Glacier ice flow universal differential equations models

j2k-glacier

J2K hydrological model (Krause et al., 2001) augmented with dynamic glacier evolution based on the ALpine Parameterized Glacier Model (ALPGM; Bolibar, 2020)