Modular Ocean Model

GPU-capable global atmosphere model of the CliMA Earth System Model, designed for calibration with data assimilation and machine learning

GPU-capable dynamical core for the CliMA Earth System Model: spectral-element and finite-difference discretization tools

Modular, GPU-capable land surface model of the CliMA Earth System Model, designed for data-driven parameterizations

GPU-ready IMEX and multirate ODE solvers for large-scale scientific models

We present the NASA Ames Legacy Mars Global Climate Model for public release. This model uses a modified version of the ARIES/GEOS dynamical core coupled with a set of Mars physics packages to simulate the martian climate. The physics packages include the treatment of surface properties, a ground temperature model, a planetary boundary layer sch…

Integrated Methane Inversion workflow repository.

GPU-capable cloud microphysics and aerosol parameterizations for the CliMA Earth System Model

Implementation of the FV3GFS / SHiELD atmospheric model in Python

Centralized parameter and physical-constant management for the CliMA Earth system modeling ecosystem

[NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion

NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21

GPU-capable surface fluxes between atmosphere, ocean, and land via Monin-Obukhov Similarity Theory

Fast, accurate solar geometry and top-of-atmosphere insolation for climate science and Earth system models.

IPSL-AID is a high-performance research framework for climate data downscaling based on diffusion models, designed for GPU clusters and HPC systems.

📍 Track Indian mobile numbers and check for data breaches with a privacy-focused app featuring real-time geolocation and interactive maps.

Code repository associated with "Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification" (Getter, Bessac, Rudi, Feng).

ConceptualClimateModels.jl is a Julia package for creating and analysing conceptual models of climate, such as energy balance models, glaciation cycle models, or climate tipping models.

Robust, GPU-capable root-finding for nonlinear equations, with broadcasting over abstract array types

A project on emulating an aerosol microphysics model, including physical constraints in the Deep Learning architecture.