NOAA Geostationary Operational Environmental Satellites (GOES) 16, 17, 18 & 19

Description

NEW GOES-19 Data!!! GOES-19 products at the Provisional maturity level have begun streaming. Data files will be available between Provisional and the Operational Declaration of the satellite, however, these data are subject to the caveat that they are "GOES-19 Preliminary, Non-Operational Data".

NEW GOES 16 Reprocess Data!! The reprocessed GOES-16 ABI L1b data mitigates systematic data issues (including data gaps and image artifacts) seen in the Operational products, and improves the stability of both the radiometric and geometric calibration over the course of the entire mission life. These data were produced by recomputing the L1b radiance products from input raw L0 data using improved calibration algorithms and look-up tables, derived from data analysis of the NIST-traceable, on-board sources. In addition, the reprocessed data products contain enhancements to the L1b file format, including limb pixels and pixel timestamps, while maintaining compatibility with the operational products. The datasets currently available span the operational life of GOES-16 ABI, from early 2018 through the end of 2024. The Reprocessed L1b dataset shows improvement over the Operational L1b products but may still contain data gaps or discrepancies. Please provide feedback to Dan Lindsey (dan.lindsey@noaa.gov) and Gary Lin (guoqing.lin-1@nasa.gov).

NOTICE: As of January 10th 2023, GOES-18 assumed the GOES-West position and all data files are deemed both operational and provisional, so no ‘preliminary, non-operational’ caveat is needed. GOES-17 is now offline, shifted approximately 105 degree West, where it will be in on-orbit storage. GOES-17 data will no longer flow into the GOES-17 bucket. Operational GOES-West products can be found in the GOES-18 bucket.

GOES satellites (GOES-16, GOES-17, GOES-18 & GOES-19) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements. SUVI products available in both NetCDF and FITS.

Update Frequency

New data is added as soon as it's available

License

NOAA data disseminated through NODD is made available under the Creative Commons 1.0 Universal Public Domain Dedication (CC0-1.0) license, which is well-known and internationally recognized. There are no restrictions on the use of the data. The data are open to the public and can be used as desired.

NOAA has adopted the Creative Commons license to ensure maximum use of our data, to spur and encourage exploration and innovation throughout the industry. This license is applicable to each of the NOAA datasets made available by NODD. NOAA requests attribution for the use or dissemination of unaltered NOAA data. However, it is not permissible to state or imply endorsement by or affiliation with NOAA. If you modify NOAA data, you may not state or imply that it is original, unaltered NOAA data.

Documentation

https://github.com/NOAA-Big-Data-Program/nodd-data-docs/tree/main/GOES

Managed By

See all datasets managed by NOAA.

Contact

For questions related to specific GOES Products, please visit the "[GOES-R website](https://www.ncei.noaa.gov/products/satellite/goes-r-series)" and navigate to the Help section.
For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov

How to Cite

NOAA Geostationary Operational Environmental Satellites (GOES) 16, 17, 18 & 19 was accessed on DATE from https://registry.opendata.aws/noaa-goes.

Usage Examples

Tutorials

• Comparison reading GOES-R data from AWS S3 in netCDF versus zarr by Chelle Gentemann
  
• Forecasting Hurricane Tracks with TensorFlow and data from AWS S3 by Kyle Archie
  
• NOAA GOES16 Julia Jupyter Notebook Example by Peter Schmiedeskamp
  AWS CloudFormationAmazon EC2Amazon SageMaker
• Processing GOES-16 data with Dask & AWS Fargate by Zac Flamig
  AWS CloudFormationAWS FargateAmazon SageMaker
• Visualize GOES-16 in Python using Xarray by Hamed Alemohammad
  

Tools & Applications

• GOES-2-go is a python package for downloading and plotting plotting GOES data. by Brian K. Blaylock
  
• Modern Data Platform Orchestration with Dagster Software-Defined Assets by Adebayo Adejare
  

Publications

• Beginner’s Guide to GOES-R Series Data by Danielle Losos
  
• Billions of Birds Migrate. Where Do They Go? by National Geographic
  
• Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations by Brian K. Blaylock, and John D. Horel
  
• Embracing the cloud for climate research by North Carolina State University’s North Carolina Institute for Climate Studies
  
• GOES Quick Guides (Spanish) by Anthony Segura García
  
• Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
  
• Imaging Considerations From a Geostationary Orbit Using the Short Wavelength Side of the Mid-Infrared Water Vapor Absorption Band by N.B. Miller, M.M. Gunshor, A.J. Merrelli, T.S. L'Ecuyer, T.J. Schmit, J.J. Gerth, N.J. Gordillo
  
• Observations of lightning in relation to transitions in volcanic activity during the 3 June 2018 Fuego Eruption by Christopher J. Schultz, Virginia P. Andrews, Kimberly D. Genareau, and Aaron R. Naeger
  
• Solar irradiance forecasting for the solar powered future by Solcast
  
• SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data by Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J Reed, Hossein Vahabi
  
• The Use of Composite GOES-R Satellite Imagery to Evaluate a TC Intensity and Vortex Structure Forecast by an FV3GFS-Based Hurricane Forecast Model by Shaowu Bao, Zhan Zhang, Evan Kalina, and Bin Liu