We contend, however, that average error measures based on sums of squares, including the RMSE, erratically
overestimate average model error.
Not exact matches
We also calculated for each sample, the difference between real and predicted tissue PMI, and found little deviation on
average, although the
models tend to
overestimate PMI (Fig. 8a).
However, satellite observations are notably cooler in the lower troposphere than predicted by climate
models, and the research team in their paper acknowledge this, remarking: «One area of concern is that on
average... simulations underestimate the observed lower stratospheric cooling and
overestimate tropospheric warming... These differences must be due to some combination of errors in
model forcings,
model response errors, residual observational inhomogeneities, and an unusual manifestation of natural internal variability in the observations.»
Imagine that
models on
average overestimate rainfall in an arid part of the world.
Compared to the actual temperature rise since 1980, the
average of 32 top climate
models (the so - called CIMP5)
overestimates it by 71 - 159 %.
It says in the abstract that
models overestimate warming in the troposphere, and in the main text «The multimodel
average tropospheric temperature trends are outside the 5 — 95 percentile range of RSS results at most latitudes.»
On
average, the
models analyzed...
overestimate the warming of the troposphere.
(6) The GCM
models built by the CIC have consistently greatly
overestimated the effects of CO2 on global
average temperatures over a period of over 25 years.
The fact that the CMIP simulations ensemble mean can reproduce the 1970 — 2010 US SW temperature increase without inclusion of the AMO (the AMO is treated as an intrinsic natural climate vari - ability that is
averaged out by taking an ensemble mean of individual simulations) suggests that the CMIP5
models» predicted US SW temperature sensitivity to the GHG has been significantly (by about a factor of two)
overestimated.
Compared with the actual temperature rise since 1980, the
average of 32 top climate
models (the so - called CMIP5)
overestimates it by 71 percent to 159 percent.
«The fact that the CMIP simulations ensemble mean can reproduce the 1970 — 2010 US SW temperature increase without inclusion of the AMO (the AMO is treated as an intrinsic natural climate variability that is
averaged out by taking an ensemble mean of individual simulations) suggests that the CMIP5
models» predicted US SW temperature sensitivity to the GHG has been significantly (by about a factor of two)
overestimated.»
The
average of the
models does
overestimate the observed surface warming over the past decade.
On
average, CMIP5
models overestimate the warming trend between 1979 and 2013 by 50 %.
On
average, CMIP5
models overestimate the warming trend between -LSB-...]
On
average, the
models analyzed underestimate the observed cooling of the lower stratosphere and
overestimate the warming of the troposphere.
Compared to the actual temperature rise since 1980, the
average of 32 top climate
models (the so - called CMIP5)
overestimates it by 71 - 159 % (see graph).
Because the
models used by other climate estimates
overestimated the amount of rain that would cool the
average temperatures down.