Stars
Protocol, data and post-optimization analyses for Phase 1 of CalLMIP
A short tutorial about how to set up and analyze emissions driven CESM simulations.
This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.
Community Terrestrial Systems Model, version 6 (CTSM6) perturbed parameter ensemble (PPE)
A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
Analysis of the Community Terrestrial Systems Model (CTSM) perturbed parameter ensemble (PPE) output.
CUPiD is a “one stop shop” that enables and integrates timeseries file generation, data standardization, diagnostics, and metrics from all CESM components.
Fast & furious GroupBy operations for dask.array
Setup tensorflow 2.12 with GPU support on casper
Spack production user software stack on the Gust test system
Bridge your scikit-learn scaler parameters between Python sessions and users. Distribute your scaling across multiple processes and data subsets.
A repository for scripts, notes, and tools related to the FATES Global Calibration Cascade
material for the CSU-led machine learning tutorial for earth science research
tools for creating and analyzing parameter perturbation experiments
Generate a static HTML archive of messages in any combination of streams in a Zulip organization.
A Python package to facilitate synthesis and analysis of Earth system data.
Climate Analytics using Deep Neural Networks in Python.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
Launch Jupyter Lab over SSH with a single command!