A set of instructions to compile and run a light version of climber-x for Numerical Modeling of the Climate System, Department of Climate Science, Pusan National University. (to be used only as a c…

This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.

Eddy identification and tracking

This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learning.

Climate Data Store Toolbox for MATLAB

Remote Sensing Data Analysis in R 🛰

This repository contains the latest release. A newer pre-release version is available at wschwanghart/topotoolbox

Code for Slater 2022, GRL, Characteristic depths, fluxes and timescales for Greenland's tidewater glacier fjords from subglacial discharge-driven upwelling during summer

Computational Climate Science syllabus

Repository with the code and data for all figures from Chapter 9 of the IPCC AR6

My curriculum vitae (CV) written using LaTeX.

Automatically exported from code.google.com/p/wafo

DIWASP: DIrectional WAve SPectrum analysis Version 1.4

Download of GLORYS ocean model outputs using Python, iPython, or Jupyter Notebooks in Google Colab

Introduction to Physical Oceanography by R. Stewart

Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)

Learning Geospatial Analysis with Python – Third Edition, published by Packt

Learning Geospatial Analysis with Python - Fourth Edition, published by Packt

A collection of algorithms to autonomously identify and track mesoscale ocean eddies in sea surface height (SSH) satellite data

m-files used by the Ocean Mixing Group at OSU

Tools for physical oceanography in Matlab and Objective-C

R for data science: a book

R package for oceanographic processing

MATLAB code for reading, formatting and visualising popular, freely-available oceanographic datasets.

Calculate neutral surfaces in the ocean

Matlab functions to compute the empirical orthogonal function (EOF) and its complex version (CEOF).