I am using gridded climate data to regress streamflows in a watershed using PCR. I found that more than 40% variance is explained? Is this a good approach?
Minimum of how much variance (PCA explained) do I need to accept the regression model?
https://www.ccee.ncsu.edu/chwr/wp-content/uploads/sites/9/2017/01/thomas_seasonality.pdf
Thank you very much. This is helpfull.
I am looking for RCM datasets for India.
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