Implementation of the Aurora model for Earth system forecasting
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Updated
Nov 4, 2026 - Python
Implementation of the Aurora model for Earth system forecasting
Library for ocean wave spectra
⚙️ Tools for processing and visualizing in-situ ocean wave observations 🌊
Local Flask + MapLibre app: download ERA5 wave data from Copernicus CDS and analyse it at grid nodes for wave-energy resource screening (single levels or 2D spectra).
CPU/GPU wave modeling in pure agentic rust
Wave Motions in the Ocean: Myrl's View
FFT based realistic ocean waves simulation for gazebo
Interactive app for learning oscillating water column (OWC) wave energy hydrodynamics: verified piston toy model and Zheng et al. (2019) wall-OWC backend
COAWST (ROMS + SWAN) and ROMSPath in containers: a documented, tested patch series for COAWST v3.9, image builds, and tools for running ensembles of coastal ocean simulations on Google Cloud.
WAVEWATCH III with a machine-learning surrogate for the nonlinear four-wave interaction (S_nl): depth-scaled (ML, ML-Lite) and finite-depth (ML-FiLM) ONNX networks coupled as an NL6 source term.
Ocean wave energy in 1962–78, measured from USGS scans of World-Wide Standardized Seismographic Network records.
Idealized coral-reef cases for COAWST (ROMS coupled to SWAN): bare, canopy, stratified and thermal reefs, with a lab notebook of every test behind the defaults. Built and run with coawst-cloud.
Procedural water for Blender in Python: spectral FFT ocean waves, foam with memory, shorelines and breakers, lakes and ponds, rivers with flow maps and white water, waterfalls, water colour from optics. Driven by YAML recipes or an AI agent.
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