Hello all,
on this page you can see how I analyze changes in sea water temperatures using KNIME, including a Python script node to convert NetCDF (Network Common Data Form) data to .csv format
Hello all,
on this page you can see how I analyze changes in sea water temperatures using KNIME, including a Python script node to convert NetCDF (Network Common Data Form) data to .csv format
You might want to take a look at this global data. Its on a fairly coarse grid, but does provide worldwide data.
Thanks, I will (when I have time
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It might be also fun to calculate the odds that there is global action toward to addressing underlying causes… Just remember to hard code 0% at the end of your calculations to avoid errors. ![]()
Sadly I agree :
And things don’t seem to improve on the political front…
That’s very interesting. I wonder if anyone has tried analyzing or forecasting the sea surface temperature in the eastern Pacific Ocean, and the related El Niño phenomenon, as this is quite significant for medium-term wind power forecasting.
Thank you,
As mentioned, I would like to keep more data sources to this environment.
As I am doing this on a cloud environment I am paying for out of my pocket and this is getting too small, I would like to draw attention to my fundraising campaign at:
Best,
Marc G
PD. if you should know of a suitable data source for this, please let me know
@Marc_Goossens I know we all love KNIME, but there may be better software for dealing with netCDF files. NASA’s Panoply is a powerful tool to manipulate .nc files including charting and mapping. Panoply requires that your computer has a compatible Java 11 (or later version) JRE or JDK installed.