The high resolution made it possible for the researchers to uncover the processes taking place in the atmosphere, which are only
included in global climate models to a very approximate degree.
The note I will leave you with is this: Do not gain false confidence
in the global climate models when they show you charts that their outputs run backwards closely match history.
These actions produced models that account for the influence of smaller features than can be
resolved in a global climate model and yielded composite climate scenarios suitable for analysis of specific local climate impacts.
Anyway, do you agree that there is a major difference between the «simple physics» versions («CO2 acts like a giant blanket») and the more sophisticated radiative physics - based models
used in the global climate models (for instance)?
The ocean's thermal inertia, which delays some global warming for decades and even centuries, is accounted
for in global climate models and its effect is confirmed via measurements of Earth's energy balance (see next section).
Pritchard, M. S., M. W. Moncrieff and R. C. J. Somerville, in press (Manuscript received 12 October 2010, in final form 8 February 2011): Orogenic Propagating Precipitation Systems over the United States
in a Global Climate Model with Embedded Explicit Convection.
Hilbert says that the ecosystem
feedbacks in global climate models are based on short term processes such as carbon fixation by photosynthesis or decomposition, whereas in the longer term stocks of carbon are controlled by tree demographic processes.
«This limitation, which is a well - known
issue in global climate models, might well be a contributing factor to the precipitation errors and the bias towards light rain,» said another author from Monash University, Prof Christian Jakob.
«Given how important these large storms are to rainfall in the tropics, it is vital that there is a renewed effort to represent convective
organisation in global climate models if we are to fully understand precipitation changes in the future.»
Hoose, C. et al. (2010): A classical - theory - based parameterization of heterogeneous ice nucleation by mineral dust, soot, and biological
particles in a global climate model, J. Atmos.
To improve climate predictions, accounting for how carbon is released from and stored in the land, known as carbon cycle dynamics and feedbacks, is beginning to be
incorporated in global climate models.
Looking at what happens to
California in global climate models, they simulated two periods of time: 1920 to 2005 using historical measurements; and 2006 to 2080 using conditions in which very few efforts are made to reduce greenhouse gas emissions.
Consequently, the research community is using different models, different data sets, and different configurations that, when
projected in global climate models, become impossible to handle computationally.
Wan's Pauling postdoctoral research proposal targets decreasing the uncertainty in climate predictions by improving the way that model components are
coupled in global climate models.
He led the development of a source - tagging
technique in a global climate model that quantifies the source - receptor relationships of carbon - based particles to understand their effects on climate warming.
We are also investigating connections between regional sea - level changes along the Atlantic coast of North America and past variability of the Atlantic Meridional Overturning Circulation (AMOC) and the North Atlantic Oscillation (NAO), and we are starting to use our paleo - reconstructions to assess climate
variability in global climate models.
Primary developer of «ultraparameterization» — an exploratory strategy that attempts to include explicit boundary layer turbulence for the first
time in a global climate model, on scales of 20 - m (vertical) and 200 - m (horizontal) or less.
'' [Maslowski's] is quite a good model, one thing it has is really high resolution, it can capture details that are
lost in global climate models,» he said.
The study of Liu et al. (2012) is cited for it description of the new modal aerosol model
introduced in the global climate model CAM5 (Liu et al., 2012), which simulates aerosol size distributions, the mixing of aerosol components, aerosol properties and their complex interaction with cloud processes in a more realistic manner.
Moreover, it is not clear that the relationship that happens to exist in CMIP5 models between present day biases and future warming is a stable one,
even in global climate models.
In the 1990's, a growing sense of the infeasibility of reducing uncertainties
in global climate modeling emerged in response to the continued emergence of unforeseen complexities and sources of uncertainties.