Python package to calculating forcing from continuous GHG emissions

Global-mean data and analysis of CMIP6 experiments

A flexible, light-weight, fast and feature-enhanced adaptation of the SNICAR (SNow, Ice and Aerosol Radiative) model

Python implementation of a radiative transfer simulation focusing on the influence of CO2 concentration on the outgoing radiation spectrum

A Python-based modeling tool that estimates radiative forcing and temperature anomalies from greenhouse gas concentrations. The project builds on simple CO₂-based calculations and extends to multiple gases, future scenarios, and interactive visualizations.

Created for but not limited to boreal forest wildfires. This repository contains code to calculate the radiative forcing from dry organic matter combustion or other releases of gaseous emissions.

Data for 'Origins of a relatively tight lower bound on anthropogenic aerosol radiative forcing from Bayesian analysis of historical observations' (2021)

This code generates snow properties by applying the SPIReS algorithm v2024.1.0, derived from https://github.com/edwardbair/SPIRES (Bair et al., 2021) to the MOD09GA product (Vermotte and Wolfe, 2021). The algorithm produces daily raster images of snow cover and snow surface properties.