Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Rao Kotamarthi Project Name: Atmos_Chem Division: EVS Project title: Process Scale Modeling of Atmospheric Chemistry and Transport Associated funding: DOE,DoD Other Systems: NERSC Science: The scientific aim of the proposed modeling activity is to further the understanding of the chemistry and distribution of aerosols over certain regional domains and calculate the heating rates as a result of increased aerosol loading primarily over India. A second objective is to use Ensemble Adjusted Kalman Filter technique for data assimilation of satellite data sets into global chemical transport models to estimate model biases in calculating trace atmospheric gas constituents and aerosols A third objective is to perform dynamic downscaling of climate model simulation results for regional scale applications. In particular, we will focus on the uncertainties in downscaled projections resulting from boundary conditions, the utility of spectral nudging and grid scale nudging for improving the energy balance of regional scale climate models over long integration times. Project description: We continue to investigate the regional scale climate modeling and data assimilation of aerosols in chemical transport models. The models employed for these studies include (a) WRF-CHEM (b) NRCM and (3) GEOS-CHEM. Each of these models has been ported to the Blues cluster to perform calculations by our group. All the codes use a mix of MPI and OpenMP programming models and can scale for as few as 4 nodes to several hundred. The GEOS-CHEM model doesn't scale beyond 32 nodes due to gridding constraints. The NRCM (Nested Regional Scale Climate Model) and the WRF-CHEM models are highly scalable and limited by job turnover times and queue limitations. The project will have approximately 4 members. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 490000 Q1: 100000 Q2: 100000 Q3: 150000 Q4: 140000 Justification: Storage requirements: Thank You, The LCRC Accounts System