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Are Rrs data available for bands in the near-IR/IR, e.g. 746nm (M6)? If not, is there a recipe for generating these data? Thanks

Hi, This is an extension of the closed post: https://forum.earthdata.nasa.gov/viewtopic.php?t=3213 After reinstalling ocssw with the correct version of install_ocssw.py install_ocssw -i=/cwdata1/seadas8.2/ocssw --tag V2022.0 --seadas --modisa --seawifs --viirsj1 --viirsn --viirsdem I ran the command...

This is an extension of the resolved post https://forum.earthdata.nasa.gov/viewtopic.php?t=3213#p11502 I reinstalled ocssw as outlined in the post above. However, I get a new error when trying l3bin Error message below: /cwdata1/seadas8.2/ocssw/bin/l3bin infile=ma_binmo_list200402.txt ofile=/cwdata1...

That was the fix! I knew I'd done something wrong with the installation. Thank you for your help.

In addition, when I shorten the command to install_ocssw -i=/cwdata1/seadas8.2/ocssw --seadas the error is "install_ocssw.py: error: no such option: --seadas". Version is: install_ocssw.py 3.0 Looking at install_ocssw -h I get: Options: --version show program's version number and exit -h, ...

OK, I ran:
install_ocssw -i=/cwdata1/seadas8.2/ocssw --tag V2022.0 --seadas --modisa --seawifs --viirsj1 --viirsn --viirsdem

and got this error:
install_ocssw.py: error: no such option: --tag

Yes, the ma_binmo_list200402.txt is a plain text file and the files named in it do exist? It seems that the error indicates that I am missing a SeaDAS component and/or that the environmental variables are incorrectly set.

I installed ocssw using "install_ocssw.py" python install_ocssw.py -i=/cwdata1/seadas8.2/ocssw --aqua --seawifs --viirsj1 --viirsn When using l3bin (l3bin infile=ma_binmo_list200402.txt ofile=/cwdata1/poc2/bin_month/modis/2004/M_200402_monthbin.nc prod=poc) it fails with this error message...

Thank you, Sean!

Thank you.

Can you tell me specifically for the NASA POC monthly product. How are multiple values handled to get a single value in a pixel. Is the simple mean used or something else, e.g. like a geometric mean, the median, or mean of log value... Thanks.