CNRS Research Scientist working at IGE. Glaciers, climate and scientific machine learning
Repositories
JordiBolibar/ALPGM
ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.
JordiBolibar/Julia-intro-for-geoscience-EGU2024
https://meetingorganizer.copernicus.org/EGU24/session/49443
JordiBolibar/JordiBolibar
Personal repository
JordiBolibar/ODINN.jl
Global glacier model using Universal Differential Equations for climate-glacier interactions
JordiBolibar/SphereUDE.jl
A Julia package for regression in the sphere based on Universal Differential Equations
JordiBolibar/Sleipnir.jl
Base structures for ODINN.jl
JordiBolibar/Muninn.jl
Machine learning glacier mass balance models for ODINN.jl
JordiBolibar/Huginn.jl
Glacier ice flow universal differential equations models
JordiBolibar/MassBalanceMachine
Global machine learning glacier mass balance modelling, capable of assimilating all sources of glaciological and remote sensing data
JordiBolibar/Project_MB_Regression
Tutorial to learn how to train different machine learning methods to model glacier mass balance.
JordiBolibar/Glaciers-to-J2K
Allows J2K to read glacier evolution simulations from any glacier model. Dynamic glacier evolution for the J2K hydrological model
JordiBolibar/UDESphere
Fitting Paths in the Sphere using UDEs
JordiBolibar/DiffEqSensitivity-Review
A Review of Sensitivity Methods for Differential Equations
JordiBolibar/Optimization.jl
Local, global, and beyond optimization for scientific machine learning (SciML)
JordiBolibar/AIR-suitability-index
Quantifying winter water storage potential of glacial-fed catchments using artificial ice reservoirs (aka icestupas) of
JordiBolibar/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
JordiBolibar/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
JordiBolibar/J2K-glacier
J2K hydrological model (Krause et al., 2001) augmented with dynamic glacier evolution based on the ALpine Parameterized Glacier Model (ALPGM; Bolibar, 2020)
JordiBolibar/Zygote.jl
Intimate Affection Auditor
JordiBolibar/DiffEqOperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
JordiBolibar/cryosphere-links
This is a link list with awesome data, models, and tools around the cryosphere.
JordiBolibar/MC-Toolkit
Materials for MC-Toolkit meetings at IGE
JordiBolibar/PhD_manuscript
JordiBolibar/surface_classification
Unsupervised surface classification on ICESat-2's ATL03
JordiBolibar/alpine-climate
Past and future climate analysis in the French Alps using SAFRAN (Durand et al., 2009) and ADAMONT (Verfaillie et al., 2018)
JordiBolibar/timeseries-2-kml
Converts an array with time series to KML polygons, in order to produce animations using shapefiles.
JordiBolibar/ALPGM_data
Datasets (shapefiles and raster files) used in ALPGM