cmip6
There are 2 repositories under cmip6 topic.
- xMIPLanguage:Jupyter Notebook 183
intake / intake-esm
An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.
Language:Python 128ClimateImpactLab / downscaleCMIP6
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
Language:Jupyter Notebook 116TaufiqHassan / acccmip6
Python package for accessing and downloading CMIP6 database
Language:Python 103- Language:Python 94
SantanderMetGroup / ATLAS
Datasets, code and virtual workspace for the Climate Change ATLAS
Language:Jupyter Notebook 79- Language:C 47
ideas-lab-nus / epwshiftr
Create future EnergyPlus Weather files using CMIP6 data
Language:R 29mathause / cmip_warming_levels
year when a certain warming level was reached in CMIP5 and CMIP6 data
Language:Shell 21scotthosking / baspy
Making it far easier to read in and work with large volumes of climate model output from CMIP5/6
Language:Python 19Containerized application for running individual tasks in a larger, orchestrated CMIP6 bias-adjustment and downscaling workflow.
Language:Python 13imohamme / NASAaccess
NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc). The package assumes that users have already set up a registration account(s) with Earthdata login as well as authorizing NASA GESDISC data access. Please refer to https://disc.gsfc.nasa.gov/data-access for further details. The package relies on 'curl' (https://curl.haxx.se/) commands and library to access and download data from NASA remote sensing servers. Since Mac users have curl as part of macOS, Windows users should make sure that their local machines have 'curl' installed properly. Creating the ".netrc" file at the user machine 'Home' directory and storing the user NASA GESDISC logging information in it is needed to execute the package commands. Instructions on creating the ".netrc" and ".urs_cookies" files can be accessed at https://wiki.earthdata.nasa.gov/display/EL/How+To+Access+Data+With+cURL+And+Wget.
Language:R 13- ClimWIP
lukasbrunner / ClimWIP
ClimWIP allows to calculate & apply performance and independence weights to CMIP models
Language:Python 12 pangeo-data / escience-2022
eScience 2022 course on Tools in Climate Science: Linking Observations with Modelling
Language:Jupyter Notebook 12NordicESMhub / climate-data-tutorial
Learn to use Climate data
Language:Jupyter Notebook 8CMIP6 data pre-processing and handling tool
Language:Python 8global mean temperature anomalies for CMIP5 and CMIP6
- CMIP6_HMA_paper
mickaellalande / CMIP6_HMA_paper
Repo for the paper: Climate change in the High Mountain Asia in CMIP6
Language:Jupyter Notebook 7 AnjaKatzenberger / CMIP6-Indian-Monsoon
Analysis of the projected changes of the Indian summer monsoon using 32 CMIP6 models
Language:Python 6dr-ko / python_pangeo_cmip6
Python scripts to download CMIP6 data from Pangeo Gallery
Language:Python 4- Language:Python 4
- Language:Jupyter Notebook 4
pinkychow1010 / Downloading-CMIP-Data-using-Python
This repo illustrates how public users can use cdsapi Python API to download climate model data and do some first analysis
Language:Jupyter Notebook 4climatemodeling / unified-dashboard
LMT Unified Dashboard for illustrations of benchmarking results in a tabular and multidimensional style
Language:JavaScript 3jbkajtar / sst_tasmania
Code for processing Tasmanian region sea surface temperature from observational and CMIP6 data. Generated for Kajtar and Holbrook (2021): http://ecite.utas.edu.au/147866 and Kajtar et al. (2024): https://doi.org/10.1007/s10584-024-03684-8
Language:MATLAB 3rovinapinto / radiative_forcing
Tools on how to compute radiative forcing at TOA for CMIP6 data
Language:Jupyter Notebook 3VSCHY / download_tool_CMIP
Tool to simplify the download of the output from the CMIP6 simulations.
Language:Python 3- Language:Shell 2
- Language:Jupyter Notebook 2
acse-hvs119 / pyTRACK-CMIP6
Python wrapper package for using TRACK (1.5.2) on CMIP6 data. Created as part of an MSc project.
Language:Jupyter Notebook 1ilsep93 / climate-data-pipeline
Data pipeline to process CHELSA models of the Coupled Model Intercomparison Project (CMIP)
Language:Python 1Luisgcattelan / cmip6
Analysis of CMIP6 data for the course 'Physics of Climate Change '.
Language:Jupyter Notebook 1paultgriffiths / research
Recent research outputs
susannawinkelbauer / StraitFlux
StraitFlux calculates oceanic transports and crosssections on different model grids.
Language:Jupyter Notebook 1znicholls / CMIP6-json-data-citation-generator
Simple scripts to automatically generate json data citations for CMIP6 data files
Language:Python 1
