As it is,
the model parameterization of clouds just plain sucks.
Wang, T. Vukicevic, G. Leoncini, T. Matsui, C. Castro, D. Niyogi, C.M. Kishtawal, A. Biazar, K. Doty, R.T. McNider, U. Nair, and W.K. Tao, 2007: Satellite - based
model parameterization of diabatic heating.
Not exact matches
This technique lays the foundation for much improved
parameterizations of climate change and global vegetation
models, which will tell what the future holds in store.
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.
Uncertainties in the hydrological cycle due to land surface
parameterizations can be divided into uncertainties from the spatial distribution
of vegetation and from the
model parameter values.
The team included a
parameterization to represent irrigation in the Noah land surface
model applied in WRF, and conducted a series
of simulations with and without irrigation over the SGP for an extremely dry year (2006) and wet year (2007).
Unfortunately, many
of these cloud properties must be estimated through
parameterization, a technique used to represent complex small - scale systems, because climate
model resolution is too coarse to resolve small - scale cloud features.
They compared the empirical data to the
model simulations
of the MJO, where much
of the MJO processes are currently represented with
parameterizations, a way to express complex climate systems in a computationally efficient way.
This finding enabled a complete thermodynamic budget analysis
of the wave and identified the limitations
of the
model parameterization.
Parameterizations of cloud microphysics, cumulus clouds, and aerosol - cloud interactions in regional / global climate
models
Mission The mission
of PNNL's Aerosol Climate Initiative is to advance the current scientific understanding and
parameterization of aerosol processes and properties to improve comprehensive climate
modeling frameworks and to inform policy decisions related to global climate change and the environmental impacts
of aerosols.
Knutson, T.R., and R.E. Tuleya, 2004: Impact
of CO2 - induced warming on simulated hurricane intensity and precipitation: Sensitivity to the choice
of climate
model and convective
parameterization.
Tompkins, A., 2002: A prognostic
parameterization for the subgrid - scale variability
of water vapor and clouds in large - scale
models and its use to diagnose cloud cover.
Nakano, H., and N. Suginohara, 2002: Effects
of bottom boundary layer
parameterization on reproducing deep and bottom waters in a World Ocean
model.
Liu, J., et al., 2003: Sensitivity
of sea ice to physical
parameterizations in the GISS global climate
model.
For example one ocean ecosystem
model that I know is used in at least one GCM does not include any sort
of parameterization related to ocean acidity.
The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) experiment in the Sierras de Córdoba mountain range
of north - central Argentina is designed to improve understanding
of cloud life cycle and organization in relation to environmental conditions so that cumulus, microphysics, and aerosol
parameterizations in multi-scale
models can be improved.
For instance,
models with different
parameterization strategies give very different estimates
of the amount
of carbon dioxide in the atmosphere necessary to raise Earth's surface temperature by 2 °C — with critical implications for policy decisions.
Thus,
parameterizations, efficient ways to represent complex processes in climate
models, have been constructed to capture the essence
of cloud physics at a much lower computational cost.
He is leading projects investigating the impacts
of snow and ice impurities on climate and water resources, and the aerosol sub-grid progress and
parameterizations in climate
models.
It seems a little odd to validate the
models only at a seasonal macro scale after adjusting small scale parameters since that would aggregate the effect
of parameterizations across large scale pattern changes within each season and make it impossible to determine cause and effect.
This action is simulated more explicitly in RCMs and more implicitly in GCMs by their
parameterization schemes, but it is still not really known if these two levels
of modelling provide a physically consistent picture
of the scale interactions.
Further, recent work shows that ECS
of a
model can be largely tuned using details
of the tropical convection and cloud
parameterizations.
Has there been any success with
models that would attempt to
model climate «directly» via some theoretically or otherwise justified
parameterization of all weather?
Similarly, an underlying principle, if one exists, could take care
of some multiscale phenomena in climate
models, reducing the need for guessing
parameterization schemes greatly while improving
model quality.
Given that there is some irreducible imprecision in
model formulation and
parameterization, what is the impact
of this imprecision?
Specializing in the
parameterization of land - atmosphere exchange for use in Global Climate, Regional Mesoscale, and Local Cloud - Resolving numerical weather prediction
models.
I create
parameterizations of land - atmosphere interactions which are incorporated into climate
models and numerical weather prediction
models.
I haven't seen anything that very strongly supports the IRIS idea, but I do concur with one idea buried in the paper: that the
parameterization of fractional cloud cover in GCM's is not based on very clear physical principles, and could operate in many different ways — some
of which, I think, could make climate sensitivity considerably greater than the midrange
model of the current crop.
The most important part
of their work was to simulate the iris in a climate
model by artificially tweaking the
model's convective
parameterization.
Given that the answer to this for atmospheric
models is a resounding «NO» (particularly because
of sub-grid scale processes which need to be effectively pre-ordained through
parameterizations), and given that oceanic circulations have much longer adjustment time scales, yet also have much more intense small scale (gyre) circulations than the atmosphere, my instinct is that we are not even close to being able to trust ocean
models without long term validation data.
In super-parameterized climate
models, thousands
of embedded idealized two - dimensional cloud process - resolving
model arrays are used to calculate sub-grid cloud and boundary layer adjustments to resolved dynamics, instead
of conventional statistical
parameterizations.
Knutson & Tuleya (2004) Impact
of CO2 - Induced Warming on Simulated Hurricane Intensity and Precipitation: Sensitivity to the Choice
of Climate
Model and Convective
Parameterization, J. Clim.
... A new sea - ice albedo
parameterization scheme has been developed and implemented in ECHAM5 general circulation
model, and includes important components like albedo decay due to snow aging, ice thickness dependency and an explicit treatment
of melt pond albedo.
The main objective
of the Action is to evaluate and improve our ability to project the consequences
of environmental change for European forests by addressing questions regarding data needs, scaling,
parameterization, and predictive accuracy
of forest
models.
The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in the Sierras de Córdoba mountain range
of north - central Argentina is designed to improve understanding
of cloud life cycle and organization in relation to environmental conditions so that cumulus, microphysics, and aerosol
parameterizations in multiscale
models can be improved.
This research has demonstrated that the new convection
parameterization improves the simulation
of the diurnal cycle
of convection over land areas in the CAM
model.
Thomas R. Knutson and Robert E. Tuleya, «Impact
of CO2 - Induced Warming on Simulated Hurricane Intensity and Precipitation: Sensitivity to the Choice
of Climate
Model and Convective
Parameterization,» Journal
of Climate, vol.
To learn more about the development and application
of improved physical
parameterizations for global
models, please contact us.
Now on to the interpretive part
of that paragraphs: yes, to match real earth climate data, if a) you have a given
model (say GISS II) with coded physics, with
parameterization for physcial processes.
«The Sensitivity
of Monsoon Climates to Orbital
Parameterization Changes for 9000 Years BP: Experiments with the NCAR General Circulation
Model.»
Without that theory, it is difficult to construct more accurate
parameterizations [or
models]
of clouds that go into global climate
models,» Romps said.
«Seasonal Simulation as a Test for Uncertainties in the
Parameterization of a Budyko - Sellers Zonal Climate
Model.»
General theory
of cloud dynamics;
parameterization of microphysics and radiation;
models of fog, stratocumuli, cumulonimbi, and orographic clouds
However, if you compare regions like the hotter portion
of the tropical oceans, there is still a bit
of a discrepancy and even a hypothesis as to why the discrepancy may exist, convective triggering temperature which just one on many
model «
parameterizations» (SWAG).
Sensitivity
of coupled tropical Pacific
model biases to convective
parameterization in CESM1, Journal
of Advances in
Modeling Earth Systems, 10, doi: 10.1002 / 2017MS001176.
Second, more accurate convective
parameterization schemes, reasonable representation
of the physical processes, and higher resolution are required in the reanalysis
models.
For instance,
models with different
parameterization strategies give very different estimates
of the amount
of carbon dioxide in the atmosphere necessary to raise Earth's surface temperature by 2 °C — with critical implications for policy decisions.
This approach gets at the heart
of the uncertainty that plagues today's
models: a mathematical technique known as
parameterization.
A fifth problem concerns the
parameterization of the flowering date
model.