eviatarbach Goto Github PK

acm270_projects

chaste

Modifications to CHASTE cell simulation code and utility scripts

climalsm.jl

an in-progress prototype interface for the land model

da_tutorial

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

dotfiles

enfpf

Ensemble Fokker–Planck filter

enoc_monsoon

ensemble_oscillation_correction.jl

Code for "Ensemble Oscillation Correction (EnOC): Leveraging oscillatory modes to improve forecasts of chaotic systems"

ensemblekalmanprocesses.jl

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

eviatarbach.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

glaciers

Code for the paper "How sensitive are mountain glaciers to climate change?"

jaan.io

A Retina-ready Jekyll-powered blog with responsiveness, SEO, etc.; up at https://jaan.io

land

Everything within the Land model (Soil Plant Atmosphere Module, Land Hydrology, etc)

lyapunovexponents.jl

A hackable Lyapunov exponents calculator

mm-enkf

Multi-model ensemble Kalman filter

ncep-lectures

Crash course on using Python and other modern tools to analyze your satellite datasets

parasweep

Utility for facilitating parallel parameter sweeps

polygonization

Python 3 code for polygonizing CompuCell3D lattices. This currently works for epithelial tissue: for cells in the tissue a polygon is created from the vertices defined by lattice sites which contact multiple cells. For boundary cells, the part of them that protrudes outwards from the tissue is approximated with a circular arc.

predictability

Code for the paper "Local atmosphere–ocean predictability: dynamical origins, lead times, and seasonality"

pytyping

PyTyping is a Linux program for playing sounds when typing

reqscan

Python program for digitization of barcoded records using an ADF scanner

sahara-figures

Code for creating press release figures for the paper "Climate model shows large-scale wind and solar farms in the Sahara increase rain and vegetation"

tldr

:books: Simplified and community-driven man pages

umd-lectures

In this tutorial, you will get a crash course on using Python to analyze your satellite datasets which can speed up the learning curve and improve research efficiency. We’ll cover the basics of the NetCDF and HDF self-describing data formats and demo basic analysis using Python and Jupyter Notebooks. This session will be beneficial for both experienced programmers who want overview of Python and also those just getting started with scientific programming..

website_old

Jekyll site