Lastly the simulations are used to help
evaluate simple models of trade wind boundary layers.
The GCM does not have to be perfect to
evaluate the simple model, only having a more realistic level of complexity.
Not exact matches
Three approaches were used to
evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System
Models, new experiments with an intermediate - complexity
model, and
evaluating the implications of current ranges of uncertainty in climate system properties using a
simple model.
The Success Case Evaluation Method ® Learning and Performance Program teaches logic
modeling, and a proven,
simple approach for quickly
evaluating improvement interventions and determining what is working — or not — and why.
NMPED and the Albuquerque Journal Editorial Board both underscore the point that teachers are still primarily being (and should primarily continue to be)
evaluated on the basis of their own students» test scores (i.e., using a value - added
model (VAM)-RRB-, but it is actually not that
simple.
Therefore, when you
evaluate potential investments, your thinking
model should be
simple.
A paper published in Nature Climate Change, Frame and Stone (2012), sought to
evaluate the FAR temperature projection accuracy by using a
simple climate
model to simulate the warming from 1990 through 2010 based on observed GHG and other global heat imbalance changes.
As others have noted, the IPCC Team has gone absolutely feral about Salby's research and the most recent paper by Dr Roy Spencer, at the University of Alabama (On the Misdiagnosis of Surface Temperature Feedbacks from Variations in Earth's Radiant Energy Balance), for one
simple reason: both are based on empirical, undoctored satellite observations, which, depending on the measure required, now extend into the past by up to 32 years, i.e. long enough to begin
evaluating real climate trends; whereas much of the Team's science in AR4 (2007) is based on primitive climate
models generated from primitive and potentially unreliable land measurements and proxies, which have been «filtered» to achieve certain artificial realities (There are other more scathing descriptions of this process I won't use).
Synapse has developed a variety of mechanisms for
evaluating emissions displaced by energy efficiency and renewable energy, from
simple diagnostic metrics to regulatory tools to complex evaluation
models.
Further, key processes associated with the interactions between aerosols and clouds are either neglected or treated with
simple parameterizations in climate
model simulations
evaluated in the AR4.