Stars
Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
This is a project management board for the LEAP integration team. The integration team supports the development, implementation, and evaluation of LEAP science in the Community Earth System Model.
Entry point for the joint effort for leveraging SWOT ocean data for assessing ocean circulation models.
This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.
A flexible framework for solving PDEs with modern spectral methods.
Julia interface to climate models + tracked workflow framework
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Simple routine to find and read llc4320 data on NAS machines like Pleiades.
Ocean surface mixed layer calculation methods
Code to calculate structure functions from regional ocean circulation model
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Bayesian time-difference-of-arrival positioning using pymc3
diagnostic analyses and calculations in contour-based coordinates
In which I put together my thoughts on the practice of data science.
A novel fully-convolutional architecture inspired from the Eulerian Fokker-Planck representation of Lagrangian dynamics at sea surface
Data Interpolating Empirical Orthogonal Functions
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
JupyterBook tutorial on using Dedalus v3 on the NYU Greene HPC Cluster
Using the CMIP6 data to create a pCO2 testbed
This repository includes data files and initialization for running MOM6 code with the "Neverworld" configuration. Also, post-processing MATLAB codes of the gradient-based mesoscale eddy parameteriz…
Notebook repository to compute the MLI buoyancy flux with new frontal width formulation
Example configurations for MOM6 and SIS2
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
A collection of turtorial notebooks to go over data processing and viz