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Up Topic Products and Algorithms / Satellite Data Products & Algorithms / SST Monthly climatology data from MODIS-Aqua-reg
- By ivgbhavani Date 2019-10-15 12:46
Dear all,
I required SST monthly climatology data (Day & Night) from MODIS-Aqua for the years from 2002 to 2015. But I couldn't find data from Ocean Color Web. Can anyone suggest any other source / site to get the same?

Thanks in advance.
- By gnwiii Date 2019-10-15 16:49
I suspect you will need to generate your own climatologies.  

Maintaining multiple climatologies could be problematic as they would all need to be regenerated with each new reprocessing.  Some people pick a shorter period as the basis for anomalies going forward.   If you have the OCSSW Processing System, generating monthly climatologies from monthly binned data can also give you standard deviations.   If you can't work with binned data, Java based tools like GPT might be useful.
- By ivgbhavani Date 2019-10-16 04:21
Thank you for the reply. This is helpful to me.
- By gnwiii Date 2019-10-16 10:33
Glad to be of help.   I was rushed in my original response or I would have mentioned a couple more things:

In practice, many climatologies are generated from mapped data, the statistics of OCSSW climatologies based on binned data are superior to those from mapped data as they trace back to the level-2 pixels and use weighted means based on the number of level-2 pixels that contribute.   Most statistics from mapped data are based on mapped pixels which represent contributions from some unknown number of level-2 pixels so can end up giving equal weight to a mapped pixel based on very little data (e.g., that month in one year was very cloudy) and one based on many more level-2 pixels (e.g., the same month in a different year was very sunny).   For this reason, it is worth making the effort to get the OCSSW programs running.   These programs originated in the 1990's when $20,000 Unix workstations were less powerful than many of today's cell phones, so for binning and mapping you can use a virtual machine or a older computer running linux (there is also Windows Subsystem for Linux, but it is still under development and the I/O performance is currently poor so you will find a VM or older linux machine is faster).

NetCDF4-CF format mapped (grid) data generated by the OCSSW programs are very well supported by current versions of matrix languages (Matlab, R, Octave), and Python as well as specialized tools like the Climate Data Operators (CDO).   CDO runs on Windows (using Cygwin), MacOS, and linux (you may have to build from source).   CDO are command-line programs and are generally used to generate shell scripts.  They can be a bit complicated to configure the first time around, but if you are routinely generating climatologies in batch processing the resulting scripts are very effective.
Up Topic Products and Algorithms / Satellite Data Products & Algorithms / SST Monthly climatology data from MODIS-Aqua-reg

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