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miniufo
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A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an efficient method using physics-informed neural networks (PI…
Hybrid ML + physics model of the Earth's atmosphere
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
Jupyter notebooks for Dynamics and Control
A python package for estimating wavenumber spectral density, flux, and coherence of two-dimensional oceanic fields.
A computer algebra system written in pure Python
Nested bootstrap resampling of xarray objects
CloudDrift accelerates the use of Lagrangian data for atmospheric, oceanic, and climate sciences.
Codes for analyzing Lagrangian pair dispersion
Diffusion-based Spatial Filtering of Gridded Data
Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
Python package for numerical derivatives and partial differential equations in any number of dimensions.
Python package for solving partial differential equations using finite differences.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Play atmospheric modelling like it's LEGO.
2D spectral-core shallow-water exoplanet atmosphere model
Manipulate JSON-like data with NumPy-like idioms.
milancurcic / clouddrift
Forked from Cloud-Drift/clouddriftProject aims at accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences
Python library for processing and analysis of GLAD drifter data