Henri Drake

Elite
@hdrake

Physical oceanographer and climate modeler. Assistant Professor of Earth System Science at UC Irvine. julia, python, open science.

faculty.sites.uci.edu/drakelab/

cmip6-temperature-demo. Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.

74

simplEarth. Julia

30

xwmb. xWMB is a Python package that provides a efficient and lazy computation of Water Mass Budgets in arbitrary sub-domains of C-grid ocean models.

17

simplearth_old. Jupyter Notebook

7

IntuitiveGreenhouse. Jupyter Notebook

7

mayavi_globe. Python

6

so_lagrangian_upwelling. Various scripts used for the analysis of Lagrangian upwelling pathways in Drake et al. (2018).

3

pyradsmip. Jupyter Notebook

3

bblturb. Submesoscale turbulence in the bottom boundary layer

3

big-data-tutorial. Tutorial for analyzing big data on Google Cloud using dask and xarray

2

vortspec. Jupyter Notebook

2

cmip6hack-multigen. Multi-generational inter-comparison of climate model performance metrics

2

xwmt. Python package for water mass transformation analysis that leverages xarray functionality

2

cmip6-multigenerational-trends. TeX

2

abyssalflow. Jupyter Notebook

2

xbudget. Helper functions and meta-data conventions for wrangling finite-volume ocean model budgets.

2

regionate. A package for creating xgcm-grid consistent regional masks and boundaries, leveraging its sibling package sectionate.

2

ClimaOcean.jl. 🌎 Ocean component for CliMa's Earth system model based on Oceananigans

1

NCDatasets.jl. Load and create NetCDF files in Julia

1

CM4XTransientTracers. Jupyter Notebook

1

OptimizeClimate. MOVED TO http://github.com/ClimateMARGO/ClimateMARGO.jl

1

Oceanostics.jl. Diagnostics for Oceananigans

1

xskillscore. Metrics for verifying forecasts

1

replicate-pseudoscience. Python code for replicating a pseudoscientific preprint by Williams 2015 for pedagogic purposes

1

underway. shipboard underway data handling

1

RT-canyon. Jupyter Notebook

1

mixsea. Ocean mixing parameterizations in python

1

process-ipcc. Process raw model output for the IPCC FAR, SAR, and TAR from ipcc-data.org and push to Google Cloud storage.

1

wclivestream. Jupyter Notebook

1

sim-bbtre. Jupyter Notebook

1

ESS280-gfd. Jupyter Notebook

1

climseminar. A language-agnostic framework for learning to run simple climate models and analyze climate data (observations and climate model output alike).

1

ocetrac. Python package to label and track unique geospatial features from gridded datasets

1

hdrake.github.io_deprecated. My personal website

1
34
Apply