Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ai4ess-hackathon-2020
cheatsheets
Official Matplotlib cheat sheets
CVMix-src
CVMix source code (including protex documentation) as well as build system and examples / tests
DA_Tutorial
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
data_service_catalogue
Jupyter Notebooks that build the Data Service Catalogue for OpenDataHack at ECMWF
diurnalcycle
Matlab Code for the diurnal cycle of ocean surface layer temperature
enso_mjo_cmip6
Repository for Jupyter notebooks, documentation and code for ENSO and MJO analysis in CMIP6 model results. This project was initiated at the CMIP6 Hackathon held at NCAR on Oct 16-18, 2019
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
rpe
An emulator for reduced floating-point precision written in Fortran.
aneeshcs's Repositories
aneeshcs/enso_mjo_cmip6
Repository for Jupyter notebooks, documentation and code for ENSO and MJO analysis in CMIP6 model results. This project was initiated at the CMIP6 Hackathon held at NCAR on Oct 16-18, 2019
aneeshcs/DA_Tutorial
This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
aneeshcs/diurnalcycle
Matlab Code for the diurnal cycle of ocean surface layer temperature
aneeshcs/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
aneeshcs/rpe
An emulator for reduced floating-point precision written in Fortran.
aneeshcs/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
aneeshcs/ai4ess-hackathon-2020
aneeshcs/cheatsheets
Official Matplotlib cheat sheets
aneeshcs/CVMix-src
CVMix source code (including protex documentation) as well as build system and examples / tests
aneeshcs/data_service_catalogue
Jupyter Notebooks that build the Data Service Catalogue for OpenDataHack at ECMWF
aneeshcs/DCMIP2016
Dynamical Core Model Intercomparison Project Test Case Document 2016
aneeshcs/DevopsWiki
A wiki of Devops Tools, Tutorials and Scripts
aneeshcs/g3m
The multiplatform advanced visualization framework
aneeshcs/github-pages-with-jekyll
aneeshcs/hacknostics
Some atmospheric diagnostics.
aneeshcs/IDV
The Integrated Data Viewer (IDV) from Unidata is a framework for analyzing and displaying geoscience data.
aneeshcs/lorenz_gan
Lorenz 96 model with GAN parameterization of unresolved scale (Y).
aneeshcs/MAOOAM
Lua, Fortran and Python implementations of MAOOAM: the Modular Arbitrary-Order Ocean-Atmosphere Model
aneeshcs/mypython
My Python notebooks
aneeshcs/nasa-butterfly.github.io
aneeshcs/ncar-python-tutorial
Numerical & Scientific Computing with Python Tutorial
aneeshcs/pyLIM
A python-based linear inverse modeling suite
aneeshcs/pyqg
Quasigeostrophic model in python
aneeshcs/python-novice-inflammation-2.7
Novice Python lesson using Python 2.7
aneeshcs/RegESM
Regional Earth System Model
aneeshcs/reveal.js
The HTML Presentation Framework
aneeshcs/roms-docu
Automatically exported from code.google.com/p/roms-docu
aneeshcs/sqgturb
Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model
aneeshcs/strata-sv-2015-tutorial
Strata Silicon Valley 2015 Tutorial
aneeshcs/twolevelpe
ensemble data assimilation with a 2-level primitive equation model on a sphere