Simon D.A. Thomas's repositories
seager19
Replication of Seager et al. (2019) Nat. Clim. Chan. They used a simple-as-possible coupled model to explain the bias in the nino3.4 trend in climate models (CMIP5). This repository replicates/reproduces their work, shows that it also applies to CMIP6, and varies some of the parameters.
MLBayesInfer
Machine Learning and Bayesian Inference Part II Computer Science Course Question
noaa_coops
Python wrapper for NOAA CO-OPS Tides & Currents Data
adcirc-testsuite
Test suite derived from examples on ADCIRC.org
adcircpy
Python library for managing input and output files for the ADCIRC model
ai4er-cookiecutter
A quick way to instantiate projects for AI4ER
baspy
Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
cmipdata
Processing and visualization of climate model ouput.
cpoint
Find out about a point in CMIP6
emukit
A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
ESEm
Easy emulating of geophysical models including (but not limited to!) Earth System Models.
get_era5
Get ERA5 helper functions
mphil-intro-module
Jupyter notebooks on inference, regression and classification for MPhil students
notion-zotero
Create a Notion collection, synced with Zotero.
pop
Population analysis
pyxpcm
A Python implementation of Profile Classification Modelling (PCM) for xarray
rotunno87
Adaptation of code from Rotunno87
scikit-extremes
scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
sdat2.github.io
personal website
ShallowWaters.jl
A type-flexible shallow water model that can run with 16-bit arithmetic.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
SWE-GNN
Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
tcpyPI
tcpyPI, aka "pyPI": Tropical Cyclone Potential Intensity Calculations in Python