Community Satellite Processing Package for Geostationary Data

The CSPP Geo project serves the direct broadcast community by providing software to generate geophysical products from geostationary satellite data.

All CSPP Geo software is:

  • free to download and use
  • compatible with 64-bit CentOS6 Linux platforms
  • distributed as binary tarballs that are easy to install and run
  • packaged with all required third-party software included
  • released with an optional test data package
  • capable of generating "quicklook" images from products.

Supported instruments will include GOES-R Advanced Baseline Imager (ABI), Geostationary Lightning Mapper (GLM) and space weather instruments, the Japanese Advanced Himawari Imager (AHI), and GOES-13 and GOES-15 Imager.

Software packages are currently offered to process simulated direct broadcast data from the future GOES-R mission, as well as direct broadcast data from the current GOES Imager. Future releases will add support for the Japanese Himawari-8 mission.

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Hardware requirements vary by software package and by the type and volume of data being processed. Refer to the individual package descriptions for more information. Note that the stated hardware requirements are for data processing, and do not include routine quicklook image generation.

Capabilities: The software will be capable of processing GOES Rebroadcast (GRB) data received from the next-generation GOES-R satellite, scheduled for launch in late 2016. Level 2 ABI products will be generated by reference implementations of the baseline GOES-R product algorithms which have been adapted for direct broadcast use.

To help prepare users for the launch of the GOES-R satellite, the project has developed and released software to process current GOES Imager data received by direct broadcast users. We are also currently developing Level 2 product generation software for GOES Imager and Himawari AHI data, using algorithms developed for GOES-R which have been updated and adapted by the original science teams. This will give users an early look at the GOES-R products and also provide products that are useful for forecasting, hazard detection and modeling.

Benefits: Based on our experience in developing similar software for Polar Orbiter Instruments, we expect that the benefits of this project to NOAA and to the direct readout community will include:

  • Promoting the use of the GOES-R data products and science software.
  • Encouraging early use of GOES-R data among users.
  • Encouraging vendors to provide early support for GOES-R data.
  • Encouraging direct broadcast users to be ready to process GOES-R data on day one.
  • Allowing direct broadcast users to stay updated on versions of the operational product algorithms.
  • Allowing direct broadcast users to develop new products, or tailor products to local conditions.
  • Providing a catalyst for involving the direct readout community in GOES-R calibration and validation.