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 include GOES-R Series 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 direct broadcast data from the new generation GOES-16 and GOES-17 satellites, as well as the GOES-13, GOES-15, and Japanese Himawari-8 satellites.
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 is capable of processing GOES Rebroadcast (GRB) data received from the new generation GOES-16 and GOES-17 satellites that launched in 2016 and 2018, respectively. Level 2 ABI products are 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 (now GOES-16) satellite, the project developed and released software to process GOES-13 and GOES-15 Imager data received by direct broadcast users. We also developed Level 2 product generation software for GOES Imager and Himawari AHI data, using algorithms developed for GOES-R which were updated and adapted by the original science teams. This gave users an early look at the GOES-R products and also provides products that are useful for forecasting, hazard detection and modeling.
- 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.
1 Mar 2019
3 Jan 2019
13 Dec 2018
1 Oct 2018
10 Aug 2018
14 Jun 2018
5 Jan 2018
11 Aug 2017
9 Aug 2017
2 July 2017
26 May 2017
28 Mar 2017
27 Feb 2017
17 Feb 2017