I would like to use l2gen to create IOP estimates (from GIOP, GSM, QAA algorithms) using GOCI-II data.
However, SeaDAS-OCSSW doesn't currently contain GOCI-II.
So, I found the QAA and GIOP source code in C from Ocean Color Web...but I'm using Python on Windows.
What's the best way to solve this?
Thanks
how to use IOP models with GOCI-II
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Re: how to use IOP models with GOCI-II
Thank you for your question. A Subject Matter Expert has been notified and will answer your question shortly. Please stand by!
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Re: how to use IOP models with GOCI-II
The best way to solve this is to write a GOCI-II reader for l2gen. Currently, we do not have plans to write one. We do supply the source code, so others can contribute. Here is what I see as the major issues for you:
- l2gen is written in C/C++, so it is easiest to write the reader in C++.
- l2gen does not run on Windows, so you will have to use a Mac or a Linux Virtual Machine on Windows to do the development.
- next add the data tree for the new sensor (ie. ocssw/share/goci2)
don
- l2gen is written in C/C++, so it is easiest to write the reader in C++.
- l2gen does not run on Windows, so you will have to use a Mac or a Linux Virtual Machine on Windows to do the development.
- next add the data tree for the new sensor (ie. ocssw/share/goci2)
don