goesgcp 3.1.2

A package to download and process GOES-16/17 data

goesgcp

goesgcp is a Python utility designed for downloading and reprojecting GOES-R satellite data. This script leverages the google.cloud library for accessing data from the Google Cloud Platform (GCP) and rioxarray for reprojecting data to EPSG:4326 (rectangular grid), as well cropping it to a user-defined bounding box.

Features

• Download GOES-R satellite data: Supports GOES-16 and GOES-18.
• Reprojection and cropping: Reprojects data to EPSG:4326 and crops to a specified bounding box.
• Flexible command-line interface: Customize download options, variables, channels, time range, and output format.
• Efficient processing: Handles large datasets with optimized performance.

Installation

Install the package via pip:

pip install goesgcp

Obs: If gdal is not installed, you can install it using the following command:

Linux:

sudo apt-get install gdal-bin

Windows:

conda install -c conda-forge gdal

MacOS:

brew install gdal

Or you can install the wheel file:

python -m pip install gdal -f https://girder.github.io/large_image_wheels

and install other dependencies:

pip install -r requirements.txt

Usage

Available Command-Line Arguments

The script uses the argparse module for handling command-line arguments. Below are the available options:

goesgcp [OPTIONS]

Option	Description
--satellite	Name of the satellite (e.g., goes16).
--product	Name of the satellite product (e.g., ABI-L2-CMIPF).
--var_name	Variable name to extract (e.g., CMI).
--channel	Channel to use (e.g., 13).
--output	Path for saving output files (default: output/).
--lat_min	Minimum latitude of the bounding box (default: -56).
--lat_max	Maximum latitude of the bounding box (default: 35).
--lon_min	Minimum longitude of the bounding box (default: -116).
--lon_max	Maximum longitude of the bounding box (default: -25).
--resolution	Set the reprojet data resolution in degree (default: -0.045).
--recent	Number of most recent data to download (default: 1).
--start	Start date for downloading data (default: None).
--end	End date for downloading data (default: None).
--bt_hour	Hour of the day to download data (default: [0, 1, ..., 23]).
--bt_minute	Minute of the hour to download data (default: [0, 15, 30, 45]).
--save_format	Format for saving output files (default: by_date).
--remap	Remap the data based on file (This function are in development).

Available GOES Products

A comprehensive list of available GOES products can be found at the following link: https://console.cloud.google.com/storage/browser/gcp-public-data-goes-16

Examples

Download Recent Data

In the example below, the command downloads the 3 most recent files from the GOES-16 satellite for the product ABI-L2-CMIPF. It focuses on the variable CMI (Cloud and Moisture Imagery) from channel 13, which is commonly used for infrared observations. The downloaded files are saved to the specified output directory output/.

goesgcp --satellite goes-16 --recent 3 --product ABI-L2-CMIPF --var_name CMI --channel 13 --output "output/"

Download Data for a Specific Time Range

This command retrieves GOES-16 satellite data for the product ABI-L2-CMIPF within the date range 2022-12-15 00:00:00 to 2022-12-15 12:00:00, focusing on hours 5:00 and 6:00 AM. The data is cropped to the geographic bounds of -35° to 5° latitude and -80° to -30° longitude, reprojected with a resolution of 0.045 degrees, and saved in a by_date format for easy organization.

goesgcp --satellite goes-16 --product ABI-L2-CMIPF --start "2022-12-15 00:00:00" --end "2022-12-15 12:00:00" --bt_hour 5 6 --save_format by_date --resolution 0.045 --lat_min -35 --lat_max 5 --lon_min -80 --lon_max -30

Contributing

Contributions are welcome! If you encounter issues or have suggestions for improvements, please submit them via GitHub issues or pull requests.

Credits

This project was developed and optimized by Helvecio Neto (2025). It builds upon NOAA GOES-R data and leverages resources provided by the Google Cloud Platform.

License

This project is licensed under the MIT License.