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PNNL-13501 - Pacific Northwest National Laboratory

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Development of a Tool for Investigating Multiphase and Multiscale Atmospheric Chemical and<br />

Physical Processes<br />

Study Control Number: PN99015/1343<br />

Carl M. Berkowitz, Xindi Bian, Rahul Zaveri, Jerome D. Fast<br />

A high performance reactive transport code was designed to simulate atmospheric processes that control tropospheric<br />

oxidants and aerosols. Simulations can be produced at high spatial and temporal resolutions while also incorporating<br />

detailed numerical representations of chemical and physical processes. State-of-the-art process modules, numerical<br />

methods, and computational techniques are being incorporated in the model. This research will help us address key issues<br />

on the formation and distribution of fine aerosols and tropospheric oxidants.<br />

Project Description<br />

The Department of Energy has a strong interest in air<br />

quality and climate change. New national ambient air<br />

quality standards for tropospheric ozone and particles less<br />

than 2.5 micron diameter (PM2.5) are of special concern<br />

to DOE. DOE is interested in developing a clearer<br />

understanding of how emissions from energy production<br />

lead to oxidant and aerosols, and under what conditions<br />

emission controls will be effective. Complicating this<br />

task is a lack of understanding of the basic mechanisms<br />

by which fine particles are formed, how they interact with<br />

atmospheric oxidants and ozone, and the mechanisms by<br />

which they affect human health. As a result, the scientific<br />

community recognizes that improved modeling<br />

capabilities are needed to address the key issues facing<br />

policymakers regarding ozone and particulate matter<br />

smaller than 2.5 microns in diameter.<br />

Introduction<br />

Our objective has been to develop a computational tool<br />

for analysis of multiphase atmospheric processes, which<br />

occur over multi-decadal scales in space and time. The<br />

modules have been built into a highly flexible and<br />

portable framework and are capable of simulating<br />

chemical reactions in the gas phase, in the aqueous phase,<br />

and in and upon solid and mixed-phase particles.<br />

Additional modules will treat the dispersion, transport,<br />

scavenging, and deposition of trace materials in the<br />

gaseous phase and in aerosols, cloud drops, and<br />

precipitation. We have also begun using this model to<br />

investigate the interaction of processes acting on different<br />

scales. This tool now appears to be capable of performing<br />

research in atmospheric chemistry linking results obtained<br />

in laboratory studies with large-scale air quality and<br />

climate change models.<br />

Approach<br />

The code we have developed is called PEGASUS, taken<br />

from the winged horse of Greek mythology. The<br />

acronym also identifies our <strong>Laboratory</strong> for developing the<br />

code (<strong>PNNL</strong>), the mathematical framework (Eulerian),<br />

the multiple chemical phase capability (gas and aerosols),<br />

its scalability on high-performance computers, and that it<br />

brings together, or creates a unified system, to describe<br />

both chemical and meteorological processes. Modules are<br />

being added to this basic gas-phase-only code that allow<br />

the code to simulate the following processes:<br />

• heterogeneous reactions on the surface and in the<br />

interior of aerosols and cloud drops<br />

• formation of new particles through multi-species gasto-particle<br />

nucleation<br />

• detailed treatment of the microphysical dynamics of<br />

aerosol and droplet growth<br />

• scavenging of gases and aerosols by clouds and<br />

precipitation.<br />

Whereas the formulations for simulating many of these<br />

processes are available in the open literature, a substantial<br />

effort has gone into integrating the various algorithms into<br />

a computational architecture that enables them to easily<br />

interact with existing and future modules. Along with the<br />

addition of advanced process modules, we have<br />

maintained the computational efficiency and accuracy by<br />

Earth System Science 207

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