All,
I hope you can shed some light on issues I've been having regarding NCEP Reanalysis-I netCDF-4 file format:
First issue,
Projection information is not stored on the downloads I obtained from ESRL
SD website. Necessary for later spatial analysis? Ignore and use only lat/long values? Input helpful.
Second issue, which could be an easy fix for some more adept in Python/R coding,
I am trying to create conditions that compare multiple variables in differing netCDF files. The issue is that the files have differing dimension formats or additional dimensions that aren't needed across the multiple netCDF files. I only need to compare the variables based on lat, long, and time. What is the easiest solution? I've attempted MFDataset in Python, but the slowest unlimited dimension varies between the files. Also, using numpy logical operators might be misinterpreting the values because of the dimension issue. Again, I've not been able to pinpoint the issue.
Thanks again for any suggestion(s),
أكثر...
I hope you can shed some light on issues I've been having regarding NCEP Reanalysis-I netCDF-4 file format:
First issue,
Projection information is not stored on the downloads I obtained from ESRL
SD website. Necessary for later spatial analysis? Ignore and use only lat/long values? Input helpful.Second issue, which could be an easy fix for some more adept in Python/R coding,
I am trying to create conditions that compare multiple variables in differing netCDF files. The issue is that the files have differing dimension formats or additional dimensions that aren't needed across the multiple netCDF files. I only need to compare the variables based on lat, long, and time. What is the easiest solution? I've attempted MFDataset in Python, but the slowest unlimited dimension varies between the files. Also, using numpy logical operators might be misinterpreting the values because of the dimension issue. Again, I've not been able to pinpoint the issue.
Thanks again for any suggestion(s),
أكثر...