Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

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.

This code solves ODEs of hydrological models with adjoint.

Atmospheric mixed-layer model for subtropical stratocumulus clouds and their response to increasing CO2

ecLand

Utilities for converting common large-sample hydro dataset to zarr file format.

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

Tools for use in comparison studies, specifically for use in the field of hydrology

A simulation engine for models related to plants

Generic differentiable modeling framework

On-Demand Earth System Data Cubes (ESDCs) in Python

N-D labeled arrays and datasets in Python

A Flexible, Differentiable Framework for Neural-Enhanced Hydrological Modeling

Repository for participants of the "Python for HPC" training

Play atmospheric modelling like it's LEGO.

Differentiable modelling on (multi)-GPUs workshop at JuliaCon23

A Quarto extension for making title and cover pages for PDF output.

An end to end symbolic framework for parameter learning hybrid models

This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.

GPR processing of Earth Observation data implemented with Google Earth Engine and openEO

A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

Open standard for machine learning interoperability

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

Open-source, cloud-native transactional tensor storage engine

A framework for running empirical land surface models.

Python module for managing SUMMA simulations