ARC COE for Climate Extremes: Computational Modelling Systems

Pinned Repositories

clef
Language:Python7 6 923
climatescripts
Useful functions from researchers within the CoE and CCRC
Language:Python7 8 113
era5
Python code to manage ERA5 downloads at NCI
Language:Python30 6 07
era5grib
Convert NCI ERA5 archive data to GRIB format
Language:Python5 5 91
Fortran_Build_Environment
The CMake Framework for a new Fortran Project.
Language:CMake7 7 05
nccompress
Compress netcdf files with optimised chunking
Language:Python19 7 136
nci_scripts
Helpful scripts for working at NCI
Language:Python18 9 2714
Soil_Moisture_WRF
Language:Fortran7 8 06
wps-era
Run WPS on ERA-Interim data
Language:Makefile6 7 24
xmhw
Xarray version of Marine Heatwaves code by Eric Olivier
Language:Python21 9 5010

ARC COE for Climate Extremes: Computational Modelling Systems's Repositories

coecms/xmhw
Xarray version of Marine Heatwaves code by Eric Olivier
Language:Python21 9 5010
coecms/nci_scripts
Helpful scripts for working at NCI
Language:Python18 9 2714
coecms/era5grib
Convert NCI ERA5 archive data to GRIB format
Language:Python5 5 91
coecms/coecms.github.io
Language:Jupyter Notebook4 6 24
coecms/WRF
WRF ported on NCI machine
Language:Fortran4 5 15
coecms/conda-envs
Language:Shell3 8 492
coecms/Hybrid_downscaling
Downscaling climate model using GPU-enabled machine learning
Language:Python3 7 2
coecms/mdssdiff
Look for differences between local filesystem and it's copy on a mass data store system
Language:Python3 6 124
coecms/mppnccombine-fast
A fast version of mppnccombine
Language:C3 7 243
coecms/frontdetection
Language:Jupyter Notebook2 6 92
coecms/aus2200-intake
An intake catalogue for the AUS2200 simulations collection
Language:Jupyter Notebook11
coecms/cms-conda-singularity
A repository for the squashfs'd hh5 conda installations.
Language:Shell1 3 121
coecms/cms-wiki
Language:CSS1 4 13
coecms/esm-mh
ACCESS-ESM configuration for Mid-Holocene
Language:Python1
coecms/esm-pre-industrial
Language:Python13
coecms/ML-Drought-Prediction-Tutorial
A tutorial for drought prediction using random forest. This has been created for the CLEX Winter School in Hobart, June 2023.
Language:Jupyter Notebook1 4 0
coecms/ncigrafana
Ingest stats captured from HPC
Language:Python0 5 111
coecms/access-esm
Main Repository for ACCESS-ESM configurations
Language:Python4 142
coecms/accounting-api-worker
A Cloudflare worker for relaying requests to the clex-functional-accounting API and caching results
Language:TypeScript
coecms/CNN-Atmospheric-Rivers
In this tutorial, we will use an Atmospheric Rivers dataset to train a Convolutional Neural Network (CNN) that can identify whether a map contains an atmospheric river or not.
Language:Jupyter Notebook
coecms/dashboard
Language:TypeScript
coecms/dask-optimiser
A Client plugin for Dask that sets up workers in an optimal way for NCI HPC systems
Language:Python
coecms/esm-historical
Language:Python3
coecms/esm-lig
Language:Python
coecms/esm-pmip-last-mil
Language:Jupyter Notebook1
coecms/esm-ssp585
Language:Python6 11
coecms/NetworkScore
This is a python program that builds a network (graph) of nodes on a plane and uses an xarray dataset of events at the grid locations.
Language:Python
coecms/ucx-py
Python bindings for UCX
Language:Python1 0
coecms/xmip_nci
A tutorial to use xMIP at NCI based on https://github.com/jbusecke/xMIP/blob/main/docs/tutorial.ipynb
Language:Jupyter Notebook4 0
coecms/zenmeta
Collection of codes to create and populate codemeta and zenodo json files from our repos
Language:Python6 11