earth-system-model

The Earth System Modeling Framework (ESMF) is a suite of software tools for developing high-performance, multi-component Earth science modeling applications.

An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.

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

Python package for interactive data visualization

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

Fast, GPU-ready atmospheric radiative transfer in Julia: the RTE solver with RRTMGP correlated-k gas optics.

Python software used in the International Land Model Benchmarking (ILAMB) project

reference implementation of the copan:CORE World-Earth modelling framework

MATLAB bindings for JIGSAW(GEO): an unstructured mesh generator for geoscientific modelling.

The "superproject" wrapper repository for GCHP, the high-performance instance of the GEOS-Chem chemical-transport model.

Python bindings for JIGSAW(GEO): an unstructured mesh generator for geoscientific modelling.

A mesh independent river network generator for hydrologic models

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

A lightweight and extensible framework for execution scripts written in YAML.

Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models".

A Python package for analysing the cGENIE model output

A small library for regridding Earth system data with vectorized sparse linear transforms

Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

This repository contains the code used for the analysis in the paper "Zhang et al. Mapping global distributions, environmental controls, and uncertainties of apparent topsoil and subsoil organic carbon turnover times".