reflective-potential
An empirical analysis of Earth's annual-average surface reflectivity potential.
https://github.com/ReflectiveEarth/reflective-potential
Category: Atmosphere
Sub Category: Radiative Transfer
Keywords
albedo albedo-maps climate climate-data climate-science
Last synced: about 18 hours ago
JSON representation
Repository metadata
An empirical analysis of Earth's annual-average surface reflectivity potential
- Host: GitHub
- URL: https://github.com/ReflectiveEarth/reflective-potential
- Owner: ReflectiveEarth
- License: bsd-3-clause-clear
- Created: 2021-06-03T20:01:44.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-11-17T00:53:27.000Z (5 months ago)
- Last Synced: 2025-04-17T22:07:12.134Z (9 days ago)
- Topics: albedo, albedo-maps, climate, climate-data, climate-science
- Language: Jupyter Notebook
- Homepage:
- Size: 241 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 3
- Releases: 4
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Support: SUPPORT.md
README.md
reflective-potential
An empirical analysis of Earth's surface reflectivity potential
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:
Repository Structure
assets
- deliverable data and imagesenvironments
- conda / mamba environment files for macOS and linuxnotebooks
- jupyter notebooks for each step of the workflow01-Ingest
- data download from Copernicus Climate Change Service and
upload to Google Cloud02-Preprocess
- data averaging from hourly-means to annual-means03-Analyze
- data transformation through a simple model of reflected
radiation04-Validate
- replicate results with an independent dataset05-Visualize
- data visualization for publicationutils.py
- utility functions
CHANGELOG
- chronologically ordered list of notable changesCODE_OF_CONDUCT
- the code of conduct that contributors and maintainers
pledge to followCONTRIBUTING
- guidelines for making your own contribution to this projectLICENSE
- open source licenseREADME
- overview, repo structure, developer setup, and prerequisitesSUPPORT
- guidance on how to request help with this project
Developer Setup
- Clone and change directory to the reflective-potential repo.
git clone https://github.com/ReflectiveEarth/reflective-potential.git
cd reflective-potential
- 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
- e.g. environment for
- Launch Jupyter Lab.
jupyter lab
- Open and run the notebooks in the eponymous directory.
- N.B. additional setup may be required. See the Preliminaries section of
each notebook.
- N.B. additional setup may be required. See the Preliminaries section of
Prerequisites
- A Google Account in order to access Google Cloud Platform.
- A Google Cloud project with billing enabled. Requester Pays is turned on for
all Google Cloud Storage buckets in this repo. Google Cloud Storage requests
will incur charges. - Optionally, conda or mamba to manage package dependencies.
- Optionally, one or more Google Cloud Storage buckets to store project data.
- Optionally, a Copernicus Climate Data Store Account to ingest C3S data.
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
Owner metadata
- Name: Reflective Earth
- Login: ReflectiveEarth
- Email:
- Kind: organization
- Description: We're on a mission to slow global warming right now! With innovations small and large, we can reduce global warming by increasing Earth's reflectivity.
- Website: https://reflectiveearth.org
- Location: Earth
- Twitter: ReflectiveEarth
- Company:
- Icon url: https://avatars.githubusercontent.com/u/77813879?v=4
- Repositories: 1
- Last ynced at: 2023-03-05T20:58:48.922Z
- Profile URL: https://github.com/ReflectiveEarth
GitHub Events
Total
- Issues event: 2
- Watch event: 2
- Push event: 4
- Pull request event: 1
- Create event: 2
Last Year
- Issues event: 2
- Watch event: 2
- Push event: 4
- Pull request event: 1
- Create event: 2
Committers metadata
Last synced: 6 days ago
Total Commits: 33
Total Committers: 3
Avg Commits per committer: 11.0
Development Distribution Score (DDS): 0.152
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Brian Smoliak | b****n@r****g | 28 |
Brian Smoliak | b****k@g****m | 4 |
LNSY | 4****e | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 10
Total pull requests: 14
Average time to close issues: 26 days
Average time to close pull requests: about 22 hours
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 13
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- bsmoliak (10)
Top Pull Request Authors
- bsmoliak (13)
- lindseyjohnasterius (1)
Top Issue Labels
- enhancement (5)
- bug (3)
- documentation (2)
Top Pull Request Labels
- enhancement (9)
- bug (3)
- documentation (3)
Score: 3.044522437723423