Down-and-dirty details of climate modeling

May 04, 2011
Researchers at PNNL have embedded a high-resolution model within each grid of a global climate model for a new way to account for the effects of small pollution particles.

For the first time, researchers have developed a comprehensive approach to look at aerosols—those fine particles found in pollution—and their effect on clouds and climate. Scientists from Pacific Northwest National Laboratory improved how aerosols are accounted for in a global climate model used to predict climate change by embedding a high-resolution model in each climate grid. The embedded model replaces parameterization, a simplified method currently used to reckon small-scale climate processes. The new integrated approach brings the small scale to the global scale, for more effective climate modeling. 

Advancing our ability to predict global depends on accurate modeling of climate forces across all scales. Though current global circulation models, used to predict climate change, can represent large-scale atmospheric features (greater than 100 kilometers, or about 62 miles), smaller-scale processes can only be parameterized. But details in the smaller sizes are important to follow. Features such as , , and pollution point sources can have a big impact on global climate. Accounting for small features, such as the effect of pollution aerosols on clouds, will help scientists better predict climate change to plan for a sustainable future. This study gives climate researchers a valuable tool for those important predictions.

For this study, researchers from PNNL and the National Center for Atmospheric Research in Boulder, Colo., built PNNL-MMF, an extension of a multi-scale modeling framework that has been used since 2001. They embedded a cloud-resolving model (CRM) within each grid cell to specifically look at aerosol-cloud interactions for the first time.

Using the cloud and aerosol properties statistics from the CRM, scientists can account for aerosol effects on clouds and clouds' effects on aerosols—the two facets of cloud-aerosol interaction. Unlike other models, the PNNL-MMF accounts for simulation of aerosol-cloud interactions in both stratiform and convective clouds on the global scale, using new mathematical formulas. Using this method, the team has simulated aerosol-cloud interactions that are consistent with observational data and conventional aerosol models.

Now that researchers have developed the model and completed its preliminary testing, they are using the model to unravel the complex role that pollution aerosols play in a changing .

Explore further: Clean air: Fewer sources for self-cleaning

More information: Wang M, S Ghan, et al. "The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation," Geosci. Model Dev., 4, 137-168, doi:10.5194/gmd-4-137-2011 , 2011.

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ILIAD
1 / 5 (1) May 04, 2011
problem solved! We can now rely on the weather channel to give accurate information :-)

btw, wont too many windmills affect the weather and migratory birds?
GSwift7
5 / 5 (1) May 06, 2011
to ILIAD:

We can now rely on the weather channel


The weather channel doesn't use global climate models.

If they truely have improved the results versus the parameterization method then this is good. They don't really say how the new results compare to the previous version. It's possible that the parameterization was quite good, and a more complicated model can be less accurate than a simple one sometimes. If they are seeing better results then this is a big step in the right direction though. Every parameterization they can eliminate is a good thing. Next on the list: air/ocean interface, biochemical, precipitation, land use, ocean cycles, etc. Still plenty of parameters to go after.

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Magnitude-7.2 earthquake shakes Mexican capital

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