Sentences with word «parameterisation»

These rainfall and temperature biases are likely associated with differences in the physical parameterisation of rainfall.

It also reduces the influence of physical parameterisations in models (a known problem).

The mechanisms of interactions of OA with clouds and dry and wet removal processes parameterisations in global models are outlined.

The atmospheric component consists of the FMS B - grid moist primitive equations atmospheric dynamical core with highly simplified physical parameterisations.

Newly developed assessment tools will also be used to improve parameterisations of calcium carbonate production in global biogeochemical climate models (5.2).

By investigating the combined effects of variations in temperature and ocean acidity, such parameterisations will allow to put better constraints on possible threshold levels on ocean acidification in a warming world.

Hence, the point about bringing empirical - statistical models in together models which only capture known knowns and to some degree knowns unknowns (vie parameterisation schemes).

To be sure, this isn't a demonstration that the tropical trends in the model simulations or the data are perfectly matched — there remain multiple issues with moist convection parameterisations, the Madden - Julian oscillation, ENSO, the «double ITCZ» problem, biases, drifts etc..

The models have large differences in their tropical variability (which depends on their represenation of El Nino - like processes in the Pacific) but the results all fall on a line, indicating that the lower tropospheric amplification is robust across a multitude of cloud and moist convective parameterisations.

Improved sea ice parameterisations and a mixing scheme that included the effect of the mechanical stirring by winds in the creation of the mixed layer resulted in control climates that better matched salinity and temperature observations.

This was from misinterpreting van der Hulst's «lumped parameterisation».

What is not clear to me is how much of the error is due to incorrect parameterisation and how much is due to a canonically incorrect model.

Changing parameterisation adds another dimension as would changing the forcings.

Although the science of regional climate projections has progressed significantly since last IPCC report, slight displacement in circulation characteristics, systematic errors in energy / moisture transport, coarse representation of ocean currents / processes, crude parameterisation of sub-grid - and land surface processes, and overly simplified topography used in present - day climate models, make accurate and detailed analysis difficult.

These models vary in construction and contain different parameterisations of climate processes, and different methods for the numerical integration (different grids, numerical schemes etc.).

If a change is made to the cloud parameterisation, it is difficult to tell ahead of time what impact that will have on, for instance, the climate sensitivity.

In return, feedback from the modelling work will inform the experimental work in BIOACID about uncertainties in models and the relevant process parameterisations.

This will be achieved through a meta - analysis of process studies and process parameterisations, and by combining models and data in a data - assimilative framework.

Wouldn't including cloud changes simply alter the effect of their parameterisation tweaks for each run — they would simply use different values to get a spread of sensitivities.

Apart from the general capacity of models to reproduce realistic circulations, what are the empirical and / or theoretical justifications got these parameterisations?