Then, they performed
multiple climate simulations to determine the causes of recent changes in soil moisture and other land - based variables.
Not exact matches
Interests: Mathematical land computer
simulation of ecosystem element cycles and
climate effects,
multiple element limitation.
P.S., apropos «Running
multiple simulations with a
climate model is always going to give results that have some inherent scatter...»
Forest et al. 2006 compares observations of
multiple surface, upper air and deep - ocean temperature changes with
simulations thereof by the MIT 2D
climate model run at many
climate parameter settings.
In recent years one of the most important methods of estimating probability distributions for key properties of the
climate system has been comparison of observations with
multiple model
simulations, run at varying settings for
climate parameters.
A consolidated estimate of ocean surface fluxes based on
multiple reanalyses also helps understand biases in ENSO predictions and
simulations from
climate models.
One of the consequences is that if you run
multiple computer
simulations of earth's
climate, then average the results, the simulated ENSO events get scattered throughout time and end up being averaged out, so that the model average ends up looking like it doesn't have a strong ENSO impact even though the individual model runs do.
The second and more interesting (to me) observation is that the simulated temperature changes are punctuated by
multiple short term peaks and dips, differing from one model run to another, although the
climate variables mentioned above were omitted from the
simulations — there were no changes in model input in solar or aerosol forcing, and ENSO was largely eliminated by smoothing.
«model
simulations suggest that there is significant nonlinearity in how the
climate system responds to the
multiple changes that have occurred»
Key challenges, therefore, will be to increasingly: 1) interrogate extreme events in
climate simulations; 2) use earth system models to disentangle the complex and
multiple controls on proxies; 3) adopt multi-proxy approaches to constrain complex phenomena; and 4) increase the spatial coverage of such records, especially in arid regions, which are currently under - represented.