Regridding and plotting OMI_MINDS_NO2_1 data
Regridding and plotting OMI_MINDS_NO2_1 data
How can we re-grid tropospheric Nitrogen Dioxide data from OMI_MINDS_NO2_1 and plot it in Python for assessing pollution trends over a given location for a given time period?
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Re: Regridding and plotting OMI_MINDS_NO2_1 data
Hello and thanks for your question. We can consult our data specialists and reply shortly.
Two questions to aid us in our response:
1. Are you seeking Level 2 swath data or Level 3 global gridded data?
2. If L3, do you want to subset for a region or acquire the full global file?
Because you asked about NO2_1 and not NO2d_1, I would assume you are seeking Level 2, but for efficiency I want to make sure.
Two questions to aid us in our response:
1. Are you seeking Level 2 swath data or Level 3 global gridded data?
2. If L3, do you want to subset for a region or acquire the full global file?
Because you asked about NO2_1 and not NO2d_1, I would assume you are seeking Level 2, but for efficiency I want to make sure.
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- Posts: 354
- Joined: Mon Sep 30, 2019 1:57 pm America/New_York
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Re: Regridding and plotting OMI_MINDS_NO2_1 data
I apologize for the weekend delay.
I will forward your question to our scientific staff. While waiting for their response, I recommend examining this How-To document to determine if will assist your efforts:
https://disc.gsfc.nasa.gov/
I will forward your question to our scientific staff. While waiting for their response, I recommend examining this How-To document to determine if will assist your efforts:
https://disc.gsfc.nasa.gov/
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- Posts: 354
- Joined: Mon Sep 30, 2019 1:57 pm America/New_York
- Has thanked: 2 times
- Been thanked: 9 times
Re: Regridding and plotting OMI_MINDS_NO2_1 data
Hello,
To assist you further, our data specialist would like to know if you are interested in grid sizes other than 0.25 degree, and what temporal period you are investigating.
Thanks!
To assist you further, our data specialist would like to know if you are interested in grid sizes other than 0.25 degree, and what temporal period you are investigating.
Thanks!