HR: 14:55h
AN: A33G-06 INVITED    [Abstracts]
TI: The ECPP Hybrid Approach for Aerosols and Trace Gases in MMF Models
AU: * Gustafson, W I
EM: william.gustafson@pnl.gov
AF: Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-30, Richland, WA 99352, United States
AU: Easter, R C
EM: richard.easter@pnl.gov
AF: Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-30, Richland, WA 99352, United States
AU: Berg, L K
EM: larry.berg@pnl.gov
AF: Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-30, Richland, WA 99352, United States
AU: Ghan, S J
EM: steve.ghan@pnl.gov
AF: Pacific Northwest National Laboratory, P.O. Box 999, MSIN K9-30, Richland, WA 99352, United States
AB: The Multiscale Modeling Framework (MMF) poses opportunities to significantly improve the handling of cloud- aerosol interactions in global climate models (GCMs). In traditional GCMs the aerosols are transported at the grid resolution with subgrid vertical transport, scavenging and aqueous chemistry represented using cloud parameterizations. With MMF, physically-based subgrid scale information is available through the replacement of the cloud parameterizations by an embedded cloud-resolving model. The Explicit-Cloud Parameterized-Pollutant (ECPP) approach is a technique for using the statistics of the cloud and motion fields within the cloud-resolving model to more accurately parameterize subgrid vertical transport, wet scavenging, and aqueous chemistry for species resolved at the GCM resolution. As a step towards implementing the ECPP technique in the MMF enabled Community Atmosphere Model (CAM), Super-CAM, initial development and tests are being performed using the chemistry version of the Weather Research and Forecasting model (WRF-Chem). Idealized 3-dimensional WRF-Chem simulations based on large-scale forcing from the Kwajalein Experiment (KWAJEX) field campaign with 2-km grid spacing serve as a benchmark for cloud-aerosol interactions. Cloud and motion statistics from the 3-D simulation are then used to drive a single column ECPP version of WRF-Chem, analogous to how the cloud-resolving model feeds information back to the GCM grid column in MMF. Results from the ECPP within this WRF-Chem framework will be compared with the 3-D simulation and with simulations by the single column version of CAM.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0320 Cloud physics and chemistry
DE: 3310 Clouds and cloud feedbacks
DE: 3311 Clouds and aerosols
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting