Sentences with phrase «preindustrial control»

"Preindustrial control" refers to the methods and systems of managing or overseeing processes before the Industrial Revolution. It means using traditional or manual techniques to regulate or supervise activities or operations, usually without the help of advanced machinery or technology. Full definition
ANT = anthropogenic forcing NAT = natural forcing ALL = natural plus anthropogenic CTL = preindustrial control run SUL = sulfate aerosol forcings
Regression weights derived from preindustrial control climate model simulations allow for estimation of the observed signature of internal variability in the observed 20th century global mean temperature.
Monthly output from a suite of 10 general circulation models (GCMs) that participated in phase 5 of the Coupled Model Intercomparison Project (CMIP5) is used, including 40 climate simulations with anthropogenic and natural forcing combined (ALL), 40 simulations with natural forcing alone (NAT), and approximately 4200 yr of preindustrial control simulations (CTL).
Temperature anomalies (K) with respect to preindustrial control values calculated from CMIP5 variable «tas».
Both perturbation experiments start from the same preindustrial control (CTL, purple line).
To see that this is the case, we consider annual mean surface temperature fields extracted from 10 multicentury preindustrial control climate simulations, each derived from independently constructed models containing coupled ocean - atmosphere dynamics and advanced physical parameterizations.
The decadal mean ΔT, ΔF and ΔF − ΔQ values used are all anomalies relative to drift - adjusted quasi-equilibrium preindustrial control runs, from which these simulations were spawned in 1850.
By examining the preindustrial control climate of the CMIP3 models, Drijfhout et al. (2011) found that the salt flux was mostly negative (implying a positive freshwater flux), indicating that these models were mostly in a monostable regime.
(B) The robust weights derived from the preindustrial control simulations.
Testing these weights in both preindustrial control and retrospective climate change situations suggests they can successfully identify internal variability (see SI Text and Table S1).
The internal dynamics of the model generate internal fluctuations; when the model is run for a long time in the preindustrial control run all state variables fluctuate about quaasi - equilibrium values.
Additionally, all models had been used to perform a preindustrial control experiment, where greenhouse gas concentrations were held at fixed levels throughout the simulation.
All values are anomalies with respect to the preindustrial control values.
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