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As discovered in #71, there are times where our current techniques lead to latitudinal gradient and seasonality values which are bigger than the global-mean, which leads to negative values in the output. The solution in #71 is a workaround, shrinking the latitudinal gradient and seasonality until we don't get negative values.
A better solution would be to re-think how we calculate the latitudinal gradient and seasonality, to ensure that this sort of difference can't occur.
The text was updated successfully, but these errors were encountered:
As discovered in #71, there are times where our current techniques lead to latitudinal gradient and seasonality values which are bigger than the global-mean, which leads to negative values in the output. The solution in #71 is a workaround, shrinking the latitudinal gradient and seasonality until we don't get negative values.
A better solution would be to re-think how we calculate the latitudinal gradient and seasonality, to ensure that this sort of difference can't occur.
The text was updated successfully, but these errors were encountered: