None of them can predict with any regularity b / c they don't account for
sufficient numbers of variables.
Not exact matches
Furthermore the modelling approach is inherently
of no value for predicting future temperature with any calculable certainty because
of the difficulty
of specifying the initial conditions
of a large
number of variables with
sufficient precision prior to multiple iterations.
see Section 1 at http://climatesense-norpag.blogspot.com/2014/07/climate-forecasting-methods-and-cooling.html Here's an excerpt: «The modelling approach is also inherently
of no value for predicting future temperature with any calculable certainty because
of the difficulty
of specifying the initial conditions
of a sufficiently fine grained spatio - temporal grid
of a large
number of variables with
sufficient precision prior to multiple iterations.
I am a fan
of Tomas Milanovich and he has made some comments on your paper both during the original peer review stage and now, and I believe that his point that your system
of equations should have been extended so as to ensure that most
of the relevant
variables have been specified and for a
sufficient number of equations so that each
variable may be solved mathematically.
It is long past time for everyone to recognize that GCMs are inherently
of no value for predicting future temperature with any calculable certainty because
of the difficulty
of specifying the initial conditions
of a sufficiently fine grained spatio - temporal grid
of a large
number of variables with
sufficient precision prior to multiple iterations.
The primary parent was interviewed to determine family structure (eg, married, biological parents, single parent, adoptive parents); degree
of contact the primary and secondary informants had with the child (eg, daily, episodic); relationship to the child (eg, biological parent, stepparent);
number of children in the home; race (categorical options, including other, were provided to the parent; this was done to meet federal reporting guidelines and, if
sufficient variability was reported, to investigate race as a moderator
variable in secondary analyses); educational level and occupation
of parental informants; and income level.