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University of California San Diego
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- duncanwp.github.io
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This repo contains material for the paper "FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation"
Jupyter notebooks used on Cal-Adapt: Analytics Engine Jupyter HUB.
Hybrid ML + physics model of the Earth's atmosphere
Research Software for Neural Weather Prediction for Limited Area Modeling
A single column model of atmospheric boundary layer turbulence and clouds
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)
Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
Examples of CMIP6 cloud data analysis with Pangeo
DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns)
Extreme weather detection and characterization
Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)
Cartographic rendering and mesh analytics powered by PyVista
Intake catalogue for EUREC4A field campaign datasets
Code for: "Emulating Aerosol Optics with Randomly Generated Neural Networks." by Geiss, A., Ma, P-L, Singh, B., and Hardin, J. C., (2022)
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
A High-Performance Data Science Toolkit for the Earth Sciences
Variable Inspector extension for Jupyterlab
Lightweight, useful implementation of conformal prediction on real data.
This repository contains implementations and illustrative code to accompany DeepMind publications