A bin-microphysics cloud model used in research and teaching. Licensed under the MIT license.
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Updated
Jun 5, 2024 - Fortran
A bin-microphysics cloud model used in research and teaching. Licensed under the MIT license.
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 GCHP wrappers, as well as in other modeling contexts (external ESMs).
A repository for the LIIscience.org website.
The "superproject" wrapper repository for GCHP, the high-performance instance of the GEOS-Chem chemical-transport model.
This repository contains the "superproject" wrapper for the "Classic" configuration of the GEOS-Chem model of atmospheric chemistry and composition.
A MATLAB codebase to analyze TEM images of soot, which includes new methods associated with this project and a compilation of other pre-existing methods into a single package.
My simple event-driven molecular dynamic models for triboelectric charging
Datalogger for an OPC-N3 Aerosol sensor. Used in the Project KLUGER-Transfer
A 1-d column cloud model used in research and teaching. Licensed under the MIT license.
A 2-D model based on an analytical solution to the equations of motion. Licensed under the MIT license.
A dynamical model to simulate turbulence. Licensed under the MIT License.
Cloud-J is multi-scattering eight-stream radiative transfer model for solar radiation based on Fast-J. It was originally developed by Michael J. Prather.
C++ template library for Discrete Element Method (DEM) simulations
Aerosol applications for supporting mission development, model analysis, and atmospheric radiative transfer
Repository for the particle-resolved aerosol model PartMC coupled to the Weather Research and Forecasting (WRF) model
A package to build, run and optimise a kinetic multi-layer model for aerosol particles and films
A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.
A project on emulating an aerosol microphysics model, including physical constraints in the Deep Learning architecture.
A DIY cold stage for investigating ice nucleation processes by drop freezing. Licensed under the GPL
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