Analysis ready CMIP6 data in python the easy way with pangeo tools.
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Updated
Nov 1, 2024 - Jupyter Notebook
Analysis ready CMIP6 data in python the easy way with pangeo tools.
Open-source Python package for Systematic Evaluation of Climate and Earth System Models
👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).
RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres. This fork uses neural networks for the gas optics computations and optimized code for the radiative transfer.
A curated list of resources about various climate research topics
A List of freely available datasets on climate change
Repository for studies on data visualization in weather/climate science
Mid-Latitude Evaluation System
A lightweight and extensible framework for execution scripts written in YAML.
ClimWIP allows to calculate & apply performance and independence weights to CMIP models
Using ANN's to reveal changes in extreme events and internal variability in climate models
Global-mean data and analysis of CMIP6 experiments
🔍 Quickly find content, data, and groups related to climate change.
Investigation of model biases in historical internal variability using explainable AI
Simple wrappers for processing netcdf files for use in simple climate models
Assessing the influence of the QBO in Arctic sea ice perturbation experiments
(Non)linear atmospheric response to Arctic Amplification forcing
Information about the Nordic Earth System Modeling (ESM) organisation
Using a neural network to predict changes in the rate of global mean surface temperature warming
Carbon Clock is an estimation of how much CO2 can be released into the atmosphere to limit global warming to a maximum of 1.5°C.
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