How to open MISR L3 aerosol product in Python?

[ASDC - cheyenne.e.land]

Hello @vasu_007,

Have you considered level 3 data (averaged global gridded products) instead of level 2? Using level 3 will be a lot easier for you to work with. If you decide to use open_mfdataset, you may consider using the group= and/or the combine='nested' keyword arguments. Also, if you decide to use open_dataset, then we would recommend only storing the specific variables that are needed from one iteration to the next, to avoid memory issues.

If India is your ___location of interest, have you tried the MISR Order Customization Tool? Just be aware, you would likely need order the data in several-year chunks (2-3 years) at a time to not overwhelm the system since you need 22 years worth of data.

Lastly, if there is anything specific that you could use some guidance (the code you are using and the error message you are receiving) on please feel free to reach out.

Regards,
ASDC User Service

[vasu_007]

Thank You!!.
i will try to incorporate the suggestions you gave and will get back to you as soon as possible.

[hyoklee]

Hi, @vasu_007!

I added 3 new Python examples that may help your research:

https://hdfeos.org/zoo/LaRC_MISR_py.php