Not exact matches
«I think there's a future in using geologic evidence to
constrain these
parameters, and maybe improve our
estimate of seismic hazard in the Pacific Northwest.»
The most popular observationally -
constrained method of
estimating climate sensitivity involves comparing data whose relation to S is too complex to permit direct estimation, such as temperatures over a spatio - temporal grid, with simulations thereof by a simplified climate model that has adjustable
parameters for setting S and other key climate properties.
Providing you can sufficiently
constrain a more primitive model, i.e. ensure that all its
parameters can be determined /
estimated from observables, I do not see the problem.
«The assessment is supported additionally by a complementary analysis in which the
parameters of an Earth System Model of Intermediate Complexity (EMIC) were
constrained using observations of near - surface temperature and ocean heat content, as well as prior information on the magnitudes of forcings, and which concluded that GHGs have caused 0.6 °C to 1.1 °C (5 to 95 % uncertainty) warming since the mid-20th century (Huber and Knutti, 2011); an analysis by Wigley and Santer (2013), who used an energy balance model and RF and climate sensitivity
estimates from AR4, and they concluded that there was about a 93 % chance that GHGs caused a warming greater than observed over the 1950 — 2005 period; and earlier detection and attribution studies assessed in the AR4 (Hegerl et al., 2007b).»
Testing gender differences, the model in which the
parameters were
estimated freely was significantly different from the model in which the
parameters were
constrained to be equal, χ2diff (15, N = 74) = 128.94, p <.05.
In testing gender differences, the model in which the
parameters were
estimated freely was not significantly different from the model in which the
parameters were
constrained to be equal, χ2diff (15, N = 74) = 18.86, ns.
The model in which the
parameters were
estimated freely was significantly different from the model in which the
parameters were
constrained to be equal, χ2diff (15, N = 74) = 27.36, p <.05.
Three nested models with increased degrees of constraint were compared in multigroup analyses (fathers versus mothers): We specified a first model of configural invariance, in which the
parameters (factor loadings, item intercepts, residual variances, factor variances, and covariance) were freely
estimated in each group, whereas the factor means were
constrained to zero in both groups.
A model with all the structural
parameters (direct and indirect effects)
constrained to be equal (between the African American and European American groups) was compared to one with all these
parameters freely
estimated.