Webinar with Stephan Bojinski, Andrea Meraner and Erdem Erdi, EUMETSAT
31 May 2023, 12:00 UTC
In this event, EUMETSAT is demonstrating a multi-mission data visualisation tool SIFT which is suited for viewing and analysing data from MTG-I1 missions. SIFT is an open-source software released by EUMETSAT and University of Wisconsin, which utilizes the popular Satpy python-package for data reading. We also show an upgraded version of the web-based EUMETView tool. For the demonstration, we are using FCI data from the first acquisitions, as well as proxy datasets, and encourage active participation by the audience.
*** UPDATE ***
Just in time for the short course next week, we have published, in collaboration with SSEC, the first beta release of the new version of SIFT!
In preparation for the course:
You can download the self-contained software here:
- Linux: https://bin.ssec.wisc.edu/pub/sift/dist/experimental/SIFT_2.0.0b0dev_linux_20230526_020149.tar.gz
- Windows: https://bin.ssec.wisc.edu/pub/sift/dist/experimental/SIFT_2.0.0b0dev_windows_20230526_020447.zip
- Mac: https://bin.ssec.wisc.edu/pub/sift/dist/experimental/SIFT_2.0.0b0dev_darwin_20230526_020428.tar.gz
Please head to the project’s Github page for installation instructions and further information: https://github.com/ssec/sift
Note that the beta release is not yet published on conda-forge. If you try out the software and find any issue, please report it as Issue on the Github page.
We have also prepared some example/test data that you can download and use next week to follow the steps of the course:
- FCI latest simulated test data: https://sftp.eumetsat.int/public/folder/UsCVknVOOkSyCdgpMimJNQ/User-Materials/Test-Data/MTG/MTG_FCI_L1C_SpectrallyRepresentative_TD-360_May2022/
- LI latest simulated test data: https://sftp.eumetsat.int/public/folder/UsCVknVOOkSyCdgpMimJNQ/User-Materials/Test-Data/MTG/MTG_LI_L2_TD-357_Sep2021/
- SEVIRI and AVHRR example files (password: SIFTfiles): https://sftp.eumetsat.int/public/folder/gMkcl2GDXk_HjJhBMpTSaQ/SIFT_SEVIRI_AVHRR_example_files
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Your questions on Slido.com
During the webinar, we will be using Slido to answer your questions. Go to Slido.com and use #EUMSC38 or click here. No log in required. You can join Slido from your phone.
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