Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Robert Jacob Project Name: ACME Division: MCS, EVS Project title: Accelerated Climate Modeling for Energy Associated funding: DOE BER Other Systems: ALCF (100M) OLCF (50M) Science: This project is designed to accelerate the development and application of a fully coupled, state-of-the-science Earth system model (ESM) for scientific and energy mission applications. While the goal is to build a state-of-the-science Earth modeling system for the full complement of DOE’s mission-related goals and needs, initial scientific development of the system will be dictated by the team’s focus on three climate change thematic areas (called “science drivers” hereafter). These science drivers cover broad, important areas of science requiring an accurate treatment of climate system processes for more accurate simulation and prediction of climate change. The three drivers are: 1. How do the hydrological cycle and water resources interact with the climate system on local to global scales? 2. How do biogeochemical cycles interact with global climate change? 3. How do rapid changes in cryospheric systems interact with the climate system? The three questions are characterized by their centrality to major open issues in climate science, their relevance to DOE’s mission objectives, and their potential to advance the state of Earth system simulation using ACME capabilities. Project description: ACME is starting with a branch of the Community Earth System Model (CESM). CESM is a fully-coupled, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states. ACME's atmosphere component is the Community Atmosphere Model. The CAM model has flexible formulations for atmospheric dynamics and has recently transitioned to the spectral finite element method coupled to an extensive suite of sub-grid physical parameterizations in its standard configuration. It runs on unstructured quadrilateral grids. The land model, CLM, contains a suite of column process parameterizations running at each grid point with no communication between grid points. The ice sheet model, CISM, is based upon the Glimmer model, an open source (GPL) three-dimensional thermomechanical ice sheet model designed to be interfaced to a range of global climate models. CLM represents surface and subsurface water, energy, carbon, and nitrogen dynamics, with a nested hierarchical sub-grid parameterization that allows glaciers, lakes, urban areas, agricultural fields, managed forest, and natural (unmanaged) vegetation types to share space on each grid-cell. Incident radiatio n is intercepted in a two-layer canopy, with vegetation, soil, snow aging, and black carbon impacts on albedo. Subsurface processes include vertically resolved biogeochemistry, options for carbon and nutrient cycle parameterization, and recently improved treatment of wetlands and permafrost dynamics. In the fully-coupled configuration, the sea-ice and ocean (CICE and POP) component models run with a nominal grid spacing of 1/10° (approximately 11km at the equator and 3km in polar regions) and, for POP, 42 levels in the vertical. CAM grids have both uniform and variable resolution configurations. The uniform grid with an average grid point spacing at the equator of 1/4° contains 86,400 elements, each with 30 vertical levels. Doubling the resolution to an average grid spacing of 1/8° requires 345,600 elements. The variable resolution configuration allows a small region of 1/8° grid spacing transitioning to an average global resolution of 1°. The CLM is run on the same g rid as CAM. The team expects to replace POP with a new, variable-resolution grid model based on the Model Prediction Across Scales (MPAS) dynamical and numerical framework that has been recently released. The output of the CESM consists of monthly means of several hundred quantities, plus daily averages of a subset of these quantities and hourly output of some key variables. ACME requires Fortran90 and C compilers and the MPI library to run. We will be using time on Blues to perform regular testing of ACME. ACME contains a large set of system tests that perform runs of the full model to test various functions. The runs sizes range from a few nodes to a few dozen nodes. The output sizes are relatively small and we will have modest storage needs. In FY16, we will begin regular testing with the NAG compiler now that pnetcdf is available. We also port the "acme integration" suite to join the "acme developer" suite in regular nightly testing. Industry partnership: Project URL: http://climatemodeling.science.energy.gov/projects/accelerated-climate-model... Current FY Hours Used: undetermined amount New FY Requested allocation: 300000 Q1: 50000 Q2: 50000 Q3: 100000 Q4: 100000 Justification: Storage requirements: Thank You, The LCRC Accounts System