Stars
generates 3d meshes of ice crystals and predicts 3d attributes from 2d projections
A repository containing supplementary code and figures for the paper "Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data"
Coding up and training my own GPT from scratch. A learning experience for me, and hopefully a tutorial for others in the future!
Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
Reduced order modeling of cloud droplet size distributions for atmospheric modeling
GEOS-ESM / geos-chem
Forked from geoschem/geos-chemSource code repository for the GEOS-Chem model of atmospheric chemistry and composition.
discovering interpretable conservation laws from differential equations
A package for HYSPLIT air parcel trajectory analysis.
A box-model for a KPP-generated chemistry mechanism that takes the full chemical state of grid cells from 3D runs
GEOS-Chem "Science Codebase" repository. Contains GEOS-Chem science routines, run directory generation scripts, and interface code. This repository is used as a submodule within the GCClassic and G…
The KPP kinetic preprocessor is a software tool that assists the computer simulation of chemical kinetic systems
This is the supplementary code for the JAS tutorial
Graph Neural Networks with Keras and Tensorflow 2.
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
MAPL is a foundation layer of the GEOS architecture, whose original purpose is to supplement the Earth System Modeling Framework (ESMF)
A box-model that automatically creates and solves equations used to describe the evolution in atmospheric composition using Python with Numba and, optionally, Fortran.
Code for neural network parameterization project