Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Alternatives To Goes2go
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Wal E3,327
142 years ago33February 04, 202091bsd-3-clausePython
Continuous Archiving for Postgres
Wal G2,757
3 days ago62March 16, 2022265otherGo
Archival and Restoration for databases in the Cloud
Zip It And Ship It3111762420 hours ago268November 29, 202340mitJavaScript
Intelligently prepare Node.js Lambda functions for deployment
4 years ago1August 28, 201612gpl-3.0Java
A simple java command line application for Amazon Glacier
S3 Zip1817813 days ago32November 10, 2023mitJavaScript
Download selected files from an Amazon S3 bucket as a zip file
Aws Lambda Python Opencv169
6 years ago3mitShell
Simple script that builds an AWS Lambda deployment package including OpenCV
3 months ago10August 23, 202314mitPython
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
Amazon S3 Tar Tool131
3 months ago16August 14, 2023apache-2.0Go
A utility tool to create a tarball of existing objects in Amazon S3
4 months ago1bsd-3-clauseJinja
[Ansible] Run Arbitrary CLI Commands on a variety of network devices
Glacier Upload117
4 months ago7July 29, 20234gpl-3.0Python
A simple python script to upload files to AWS Glacier vaults
Alternatives To Goes2go
Select To Compare

Alternative Project Comparisons

Download and display GOES-East and GOES-West data

Conda Version DOI

Code style: black Tests (Python) Documentation Status Python Conda Recipe Conda Downloads Conda Platforms

GOES-East and GOES-West satellite data are made available on Amazon Web Services through NOAA's Open Data Dissemination Program. GOES-2-go is a python package that makes it easy to find and download the files you want from AWS to your local computer with some additional helpers to visualize and understand the data.

GOES-2-go Documentation


The easiest way to install goes2go and its dependencies is with Conda from conda-forge.

conda install -c conda-forge goes2go

You may also create the provided Conda environment, environment.yml.

# Download environment file
wget https://github.com/blaylockbk/goes2go/raw/main/environment.yml

# Modify that file if you wish.

# Create the environment
conda env create -f environment.yml

# Activate the environment
conda activate goes2go

Alternatively, goes2go is published on PyPI and you can install it with pip, but it requires some additional dependencies that you will have to install yourself:

When those are installed within your environment, then you can install GOES-2-go with pip.

# Latest published version
pip install goes2go

# ~~ or ~~

# Most recent changes
pip install git+https://github.com/blaylockbk/goes2go.git


  graph TD;
      aws16[(AWS\nnoaa-goes16)] -.-> G
      aws17[(AWS\nnoaa-goes17)] -.-> G
      aws18[(AWS\nnoaa-goes18)] -.-> G
      G((. GOES 2-go .))
      G --- .latest
      G --- .nearesttime
      G --- .timerange
      .latest --> ds[(xarray.DataSet)]
      .nearesttime --> ds[(xarray.DataSet)]
      .timerange --> ds[(xarray.DataSet)]
      ds --- rgb[ds.rgb\naccessor to make RGB composites]
      ds --- fov[ds.FOV\naccessor to get field-of-view polygons]

      style G fill:#F8AF22,stroke:#259DD7,stroke-width:4px,color:#000000

Download Data

Download GOES ABI or GLM NetCDF files to your local computer. Files can also be read with xarray.

First, create a GOES object to specify the satellite, data product, and domain you are interested in. The example below downloads the Multi-Channel Cloud Moisture Imagery for CONUS.

from goes2go import GOES

# ABI Multi-Channel Cloud Moisture Imagry Product
G = GOES(satellite=16, product="ABI-L2-MCMIP", domain='C')

# Geostationary Lightning Mapper
G = GOES(satellite=17, product="GLM-L2-LCFA", domain='C')

# ABI Level 1b Data
G = GOES(satellite=17, product="ABI-L1b-Rad", domain='F')

A complete listing of the products available are available here.

There are methods to do the following:

  • List the available files for a time range
  • Download data to your local drive for a specified time range
  • Read the data into an xarray Dataset for a specific time
   # Produce a pandas DataFrame of the available files in a time range
   df = G.df(start='2022-07-04 01:00', end='2022-07-04 01:30')
   # Download and read the data as an xarray Dataset nearest a specific time
   ds = G.nearesttime('2022-01-01')
   # Download and read the latest data as an xarray Dataset
   ds = G.latest()
   # Download data for a specified time range
   G.timerange(start='2022-06-01 00:00', end='2022-06-01 01:00')

   # Download recent data for a specific interval

RGB Recipes

The rgb xarray accessor computes various RGB products from a GOES ABI ABI-L2-MCMIP (multi-channel cloud and moisture imagry products) xarray.Dataset. See the demo for more examples of RGB products.

import matplotlib.pyplot as plt
ds = GOES().latest()
ax = plt.subplot(projection=ds.rgb.crs)
ax.imshow(ds.rgb.TrueColor(), **ds.rgb.imshow_kwargs)

Field of View

The FOV xarray accessor creates shapely.Polygon objects for the ABI and GLM field of view. See notebooks for GLM and ABI field of view.

from goes2go.data import goes_latest
G = goes_latest()
# Get polygons of the full disk or ABI domain field of view.
# Get Cartopy coordinate reference system

GOES-West is centered over -137 W and GOES-East is centered over -75 W. When GOES was being tested, it was in a "central" position, outlined in the dashed black line. Below is the ABI field of view for the full disk: field of view image

The GLM field of view is slightly smaller and limited by a bounding box. Below is the approximated GLM field of view: field of view image

How to Cite and Acknowledge

If GOES-2-go played an important role in your work, please tell me about it! Also, consider including a citation or acknowledgement in your article or product.

Suggested Citation

Blaylock, B. K. (2023). GOES-2-go: Download and display GOES-East and GOES-West data (Version 2022.07.15) [Computer software]. blaylockbk/goes2go

Suggested Acknowledgment

A portion of this work used code generously provided by Brian Blaylock's GOES-2-go python package (blaylockbk/goes2go)

What if I don't like the GOES-2-go or Python?

As an alternative you can use rclone to download GOES files from AWS. I quite like rclone. Here is a short rclone tutorial.

I hope you find this makes GOES data easier to retrieve and display. Enjoy!

- Brian Blaylock

Contributing Guidelines
GitHub Discussions
GitHub Issues
Personal Webpage

P.S. If you like GOES-2-go, check out my other python packages

  • Herbie: download numerical weather model data
  • SynopticPy: retrieve mesonet data from the Synoptic API.
  • Pandas-rose: easly wind rose from Pandas dataframe.

Related Content

Popular Archive Projects
Popular Amazon Web Services Projects
Popular Data Storage Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Amazon Web Services
Open Data
Satellite Imagery