Hello, A new project on the LCRC cluster has been requested. Please forward the information on to the LCRC Allocation sub-committee. Applicant's name: Yan Feng Applicant's institution: ANL Applicant's division: EVS Project Name: wrfchem_for_aerprof Project title: Investigation of Cloud-Aerosol Interactions Associated funding: NASA Earth Science Division Other Systems: NERSC Science: Marine low clouds have been recognized as a key component of the Earth’s energy budget due to their strong albedo and cooling effects. The radiative properties of these marine low clouds can be substantially altered by atmospheric aerosols, through changes in the cloud droplet number concentration and cloud optical thickness. Although these aerosol-mediated indirect effects have been widely observed and represented in models, their magnitudes constitute one of the largest uncertainties in our current understanding of radiative forcing. The goal of the project is to investigate aerosol-cloud interactions and the aerosol indirect effect in marine low clouds using NASA satellite datasets. High-resolution regional climate model WRF simulations will be conducted to provide the physical interpretation of the satellite-observed correlations and evaluate the relative importance of free tropospheric and boundary layer aerosols. Particular emphasis will be g iven to the aerosol vertical variability, aerosol humidification, and entrainment rate. Project description: We propose to set up the WRF-Chem model and perform regional aerosol and climate model simulations to investigate the physical processes that explain the aerosol-cloud interactions in observations. The WRF-Chem model is optimized and uses domain decomposition to divide total work load on distributed-memory systems. For this project, WRF-Chem will be set up on Blues and configured for a 30°×40° domain (~20 50°N; ~152°W–112°W) at a 4-km spatial resolution. The meteorological initial and boundary conditions will be derived from the National Centers for Environmental Prediction reanalysis data available at 1 degree resolution; chemistry initial and boundary conditions will be obtained from the MOZART-4 global chemical transport model outputs. The default anthropogenic emissions in the U.S. are based on the 4-km the Environmental Protection Agency (EPA) 1999 National Emissions Inventory (NEI) dataset in WRF-Chem and will be updated for sulfate, organic carbon (OC), and black carbon (BC) from the NEI 2011 inventory. A three-month simulation will be performed for May-June-July of 2013, the season when marine low clouds off the California coast are most abundant. Sensit ivity model simulations will be performed by varying the vertical resolution in WRF-Chem. The WRF model work very efficiently on parallel processors. We have run this model for regional climate simulations on Fusion and Blues previously for other projects, such as GVAX. The WRF-Chem model has been scaled to a few hundred cores. We use MPI and see speed-up efficiencies better than 72% for up to 200 cores on Fusion. Industry partnership: Project URL: Requested allocation: 110000 Q1: 20000 Q2: 30000 Q3: 30000 Q4: 30000 Justification: Storage requirements: 1 TB is suffient The requester has used undetermined amount hours of their initial startup project. In addition to approving an initial amount, please specify a Category and Subcategory for this project. For a list of the current selection of approved categories, please see: https://wiki.lcrc.anl.gov/wiki/Processes/Categories Once the Allocation committee has approved the project, please go to the Project Management page to create it: https://accounts.lcrc.anl.gov/projects.php Thank You, The LCRC Accounts System