I have some confusion and inquiry. If you please provide some light on that, it will be really helpful for me.
I download data from https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons, the mascon value. Extract value using python scripts. I have attached the excel file. If you see the heading of this file, you will find some keywords, like, bounds, lat, lon, time, lat_bounds, lon_bounds, lwe_thickness, time_bounds, uncertainty. Can you please clarify the difference between lat and lat_bounds, time and time_bounds, the physical significance of uncertainty.
At the time of download Global mascons, there is two option one is Coastline Resolution Improvement (CRI) filter, and another is non-CRI filtered. Can you please tell me, for groundwater depletion calculation which one needs to be used? What is the basic difference between them?
One last question, some researchers suggest to use data from http://www2.csr.utexas.edu/grace/RL05_mascons.html. But there is no scaling factor with that data. Can I use that data without multiplying the scaling factor?
According the csv file you attached, these three columns: lat_bounds lon_bounds time_bounds determine where a cell is in a coordinate (lat, lon, time). These did not contain further information.
uncertainty maybe measured by GLDAS simulation results, I am not clear.
If your study area is near a sea, a CRI filtered data would be better.
I did not use the mascons data, but the scaling factor sure exists for JPL solutions.
Sorry for my poor English.
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