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reflective-potential

An empirical analysis of Earth's surface reflectivity potential

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Contains modified Copernicus Climate Change Service information obtained in 2021. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

Reflective Earth is on a mission to slow global warming as fast and safely as possible by increasing Earth's reflectivity to reduce its energy imbalance. Reflectivity interventions reduce the amount of sunlight absorbed by the Earth system, i.e. the amount of energy entering the system. Deploying reflective materials as a stop gap could limit the amount of warming experienced by people and buy society time to reduce greenhouse gas emissions and drawdown atmospheric greenhouse gas concentrations.

The potential of reflective materials to reflect sunlight strongly depends on location. The amount of incoming solar radiation varies greatly, with more being received in the tropics and less being received at the poles. Clouds, water vapor, and aerosols (e.g. dust, smoke) scatter and absorb sunlight. These properties vary spatially as well.

This code repository contains workflows to estimate the potential of Earth's surface to reflect incoming sunlight back out to space. We use data from the European Centre for Medium-Range Weather Forecasts (ECMWF) fifth generation reanalysis product (ERA5) and National Aeronautics and Space Administration (NASA) Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) satellite-derived product, specifically radiative fluxes at the surface and top of atmosphere. This allows us to estimate surface reflectance and atmospheric transmittance and reflectance. When averaged over several decades, these properties can be combined with incoming solar radiation and surface albedo to model the potential surface-reflected outgoing solar radiation:

ROM

Repository Structure

Developer Setup

  1. Clone and change directory to the reflective-potential repo.
    • git clone https://github.com/ReflectiveEarth/reflective-potential.git
    • cd reflective-potential
  2. Create and activate the conda/mamba environment corresponding to the notebook you would like to run.
    • e.g. environment for 01-ingest.ipynb
      • {conda | mamba} env create --file environment/{linux | macos}.ingest.environment.yml
      • conda activate ingest
  3. Launch Jupyter Lab.
    • jupyter lab
  4. Open and run the notebooks in the eponymous directory.
    • N.B. additional setup may be required. See the Preliminaries section of each notebook.

Prerequisites

Support

Read the support guidelines for guidance on how to reach out for help with this project.

Contributing

We welcome contributions that improve the quality of our code and/or science. Before you dive in, read the contribution guidelines.

Code of Conduct

This project has a code of conduct. By interacting with this repository, organization, or community you agree to abide by its terms.

License

Clear BSD © 2021-2022 Reflective Earth

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