Sentences with phrase «climate model parameterizations»

Thus near the equator any errors in the total heating lead directly to errors in the fluid motion, i.e. inaccurate climate model parameterizations near the equator immediately lead to inaccurate models.

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.

The «2nd WCRP Summer School on Climate Model Development» on «Scale aware parameterization for representing sub-grid scale processes» initially scheduled this summer has been postponed.

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.

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.

Parameterizations of cloud microphysics, cumulus clouds, and aerosol - cloud interactions in regional / global climate models

Ghan is well recognized in the climate research community and highly regarded for his expertise in developing, evaluating, and applying parameterizations for climate models, including aerosol interactions with clouds.

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 aeClimate 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 aeclimate modeling frameworks and to inform policy decisions related to global climate change and the environmental impacts of aeclimate 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.

Phillips, T.J., et al., 2004: Evaluating parameterizations in general circulation models: Climate simulation meets weather prediction.

Mahfouf, 1995: A new snow parameterization for the Meteo - France climate model.

Liu, J., et al., 2003: Sensitivity of sea ice to physical parameterizations in the GISS global climate model.

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.

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.

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.

Hopefully this data set will give us insight into how and why calving occurs so that we can create a parameterization to be used in climate models that includes glaciers and their calving.

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.

What one deals with in climate models are parameterizations.

The most important part of their work was to simulate the iris in a climate model by artificially tweaking the model's convective parameterization.

A caveat is that all GCMs as well many TC models (including GFDL's) that have been used for climate change experiments employ hydrostatic approximation and «cumulus parameterization».

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.

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.

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.»

This capability would enable a model to continuously update and improve parameterization approaches on the fly, with the potential to improve climate predictions and short - term weather forecasts.

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.

Because the model parameterizations are not scale aware, increased precipitation produces zonally asymmetric climate circulation patterns that characterize the «errors» in the model simulations.

In climate «prediction» you have to run your model down to attractor, or whatever has left after all your truncations, parameterizations, and stability regularizations and flux adjustments, and continue to run until you can collect any stable statistics (if you ever check if it is converging to anything).

Scientists that evaluate climate models, develop physical process parameterizations, and utilize climate model results are convinced (at least to some degree) of the usefulness of climate models for their research.

As the grandmother of melt pond research (well co-grandmother with Beth Ebert), I have done considerable research on this topic, including developing the first parameterization of melt ponds for climate models.

We have included climate - sensitive methane emissions from wetlands within the GISS climate model using a linear parameterization derived from a detailed process model.

The RCM is the Hadley Centre Regional Climate Model, version 3, with improved physics parameterizations...

«The large - scale winds would look better because the release of latent heat drives a lot of those winds, and climate sensitivity would be better constrained because not only is the base state highly dependent on convective parameterization but the model predictions for future climate change are also very sensitive to that as well.»

These observations should be considered in the testing of cloud parameterizations in climate models, which remain sources of substantial uncertainty in global warming prediction.»

The differences between parameterizations are an important reason why climate model results differ.

«The authors demonstrate that model estimates of climate sensitivity can be strongly affected by the manner through which cumulus cloud condensate is converted into precipitation in a model's convection parameterization, processes that are only crudely accounted for in GCMs.

As soon as a global climate model readjusts a vertical column to unphysically alter the large scale solution in order to maintain hydrostatic balance (overturning due to unrealistic heating parameterizations necessitate this adjustment), there is no mathematical theory that can justify the nature of the ensuing numerical solution.

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.

Peter Huybers wrote an interesting article last year observing that there was substantial covariance in the choice of parameterizations for climate models with the net result being that the results were more similar than from an independent draw from the options,

Berner J., U. Achatz, L. Batté,..., C. Penland, et al. (March 2017): Stochastic Parameterization: Towards a new view of Weather and Climate Models.

Climate and Earth system models are used to understand potential changes in the AMOC, including potential feedbacks in the system, although the representation of unresolved physics (such as the parameterization of ocean mixing) could potentially be of concern in long, centennial simulations.

6) A recent paper by the GFDL group showed changes in the parameterization of convective precipitation could lower ECS from 3.0 to 1.8 K without causing a deterioration in the model's ability to represent current climate.

After the parameterizations are developed and incorporated into a climate model or ESM, modelers manually adjust («tune») parameters to satisfy large - scale constraints, such as a closed energy balance at the top of the atmosphere (Hourdin et al. 2017, Schmidt et al. 2017).