Weather imagery from the GOES-16 satellite.
The GOES-R (Geostationary Operational Environmental Satellite) program images weather phenomena from a set of satellites in geostationary orbits. The GOES-16 satellite is the first of four planned GOES-R satellites; GOES-16’s orbit provides a view of the Americas.
This dataset currently includes the ABI-L2-MCMIPF product (Advanced Baseline Imager, Level 2, Cloud and Moisture Imagery, Full-disk) and the ABI-L1b-RadF product (Advanced Baseline Imager, Level 1b, Full-disk). We may on-board other GOES-16 and GOES-17 products on request; please contact
firstname.lastname@example.org if you are interested in using additional GOES data on Azure.
This dataset is available on Azure thanks to the NOAA Big Data Program.
Data are stored in blobs in NetCDF format (one blob per image) in the East US data center, in the following blob container:
Within that container, data are named as:
- product is a product name; currently ABI-L2-MCMIPF and ABI-L1b-RadF are available on Azure
- year is a four-digit year
- day is a three-digit day-of-year code, starting with 001
- hour is a two-digit hour-of-day code, starting with 00
- filename encodes the product, date, and time; details are available in the GOES Users’ Guide
For example, this file:
…contains data from January 3, 2020, between midnight and 1am UTC (hour 00).
Data channels and wavelengths are described here.
A complete Python example of accessing and plotting a GOES-16 image is available in the notebook provided under “data access”.
We also provide a read-only SAS (shared access signature) token to allow access to GOES-16 data via, e.g., BlobFuse, which allows you to mount blob containers as drives:
Mounting instructions for Linux are here.
Large-scale processing using this dataset is best performed in the East US Azure data center, where the data is stored. If you are using GOES data for environmental science applications, consider applying for an AI for Earth grant to support your compute requirements.
If you use this data in a publication, please cite as:
GOES-R Series Program, (2019): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 0 Data. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.25921/tvws-w071.
Moisture imagery of the Americas on Jan 2, 2020.
For questions about this dataset, contact
MICROSOFT PROVIDES AZURE OPEN DATASETS ON AN “AS IS” BASIS. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, GUARANTEES OR CONDITIONS WITH RESPECT TO YOUR USE OF THE DATASETS. TO THE EXTENT PERMITTED UNDER YOUR LOCAL LAW, MICROSOFT DISCLAIMS ALL LIABILITY FOR ANY DAMAGES OR LOSSES, INCLUDING DIRECT, CONSEQUENTIAL, SPECIAL, INDIRECT, INCIDENTAL OR PUNITIVE, RESULTING FROM YOUR USE OF THE DATASETS.
This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
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Quickly explore the dataset with Jupyter notebooks hosted on Azure or your local machine.