Sentences with phrase «model parameterizations»
"Model parameterizations" refer to the specific numerical values or settings that are chosen within a mathematical or computational model to represent certain aspects or characteristics of the modeled system. These parameterizations determine how the model behaves and produce its results, effectively controlling its behavior and outcomes. Full definition
The researchers plan to incorporate information from the cloud - resolving model simulations that have been evaluated against observations in this study into climate model parameterizations of deep convection using probability distribution functions of environmental factors.
pnnl.gov
This project will result in a library of simulations that can be used to test the accuracy of climate model parameterizations, serve as a proxy for the atmosphere to develop remote retrievals, as well as many other applications.
I find the following section immensely telling about climate modeling: «The bottom line is that, although there has been some narrowing of the range of climate sensitivities that emerge from realistic models [Del Genio and Wolf, 2000], models still can be made to yield a wide range of sensitivities by altering model parameterizations.
This finding enabled a complete thermodynamic budget analysis of the wave and identified the limitations of the model parameterization.
Observational constraints, model parameterizations, and complex interactions between the model and the observations all affect the subsequent precipitation forecast generated by the system.
Because the model parameterizations are not scale aware, increased precipitation produces zonally asymmetric climate circulation patterns that characterize the «errors» in the model simulations.
The role of observations in this context is to provide basic data for the evaluation of model parameterizations and to ascertain that models not only reproduce observed variability, but do so for the right reasons.
Model forecasts are verified against model control simulations (perfect model experiments), thus overcoming to some extent issues of uncertainties in the observations and / or model parameterizations.
We have ongoing work examining hydrological cycle feedbacks to changing climate forcings in simple climate system models, examing how solar variability affects climate variability and in applying the idea of maximum entropy production to model parameterization.
Such perturbation experiments include modifications to initial conditions (including those involved with data assimilation), boundary conditions, and model parameterizations.