Any future metrics of model behaviour should take
account of potential biases arising from this region of the atmosphere, especially if the stratosphere is poorly resolved as is the case in HadSM3
Not exact matches
In order to do model versus proxy comparisons, it is necessary to understand how proxies filter and reflect the climate system, and to
account of those processes and any
potential biases.
As discussed above, these variables are used to
account for the
potential selection
bias introduced because
of the differences between the populations at choice schools compared to traditional public schools.
There are too many
potential sources
of bias which are not
accounted for, too many apples - to - oranges comparisons, and they can not draw any conclusions about urban heat influences until their data are homogenized and other non-climate influences are removed.
Perhaps you could
account for
potential sources
of bias, like over-policing, by controlling for things like the frequency
of police visits and neighborhood demographics, but if such a genuinely thoughtful model resulted in a map that differed from the traditional distribution
of «crimes» it wouldn't score very well.