ARM Cumulus =========== Case description ---------------- The ARM Cumulus (ARMCU) case simulates a diurnal cycle of shallow cumulus convection over the ARM (Atmospheric Radiation Measurement) Southern Great Plains site. This is a classic case for testing cumulus parameterization and LES modeling of continental shallow convection. The case exists in two configurations: 1D (single column) and 3D (LES). Configuration ---------------- .. csv-table:: :header: Parameter, 1D (ARMCU_1D_CONDSAMP), 3D (ARMCU_LES) :widths: 30, 30, 30 Category, Idealized cases, HPC cases Dynamics, 3D with 1D turbulence, 3D LES Horizontal grid spacing, 40000 m (1x1), 500 m (64x64) Integration length, 54000 s (15 hours), 43200 s (12 hours) Time step, 100 s, 2 s Coriolis effect, enabled, enabled Turbulence, TKEL (1D), TKEL (3D) Cloud scheme, ICE3, ICE3 Deep convection, NONE, NONE Shallow convection, EDKF, NONE Radiation, NONE, NONE LES diagnostics, enabled, enabled Declination ---------- .. csv-table:: :header: Configuration, Turbulence, Grid :widths: 30, 30, 30 ARMCU_1D_CONDSAMP, TKEL (BL89), 1x1 ARMCU_LES/HM21, TKEL (HM21), 64x64 ARMCU_LES/DEAR, TKEL (DEAR), 64x64 Steps ---------------- .. csv-table:: :header: Step, Script :widths: 30, 30 001_prep_ideal, run_prep_ideal_case_xyz / run_prep_ideal 002_mesonh, run_mesonh_xyz / run_mesonh Specificities ---------------- **Scientific specificities** - Idealized forcing using time-varying surface fluxes (heat, moisture, momentum) - Surface latent heat flux switches from positive to negative during the transition from daytime heating to nighttime cooling - Deep large-scale forcing from ARM field campaign data - Conditional sampling (CONDSAMP) enabled with 3 sample levels for cloud statistics - LES diagnostics with time-averaging from 3600s to 43200s (12h daytime period) **Technical specificities** - 1D: Cartesian flat domain with single point (NIMAX=1, NJMAX=1), 100 vertical levels - 3D: 64x64 horizontal grid, 100 vertical levels with 40m spacing - Model top at 1000m - Initialization from ARM SGP sounding (June 21, 1997) - Cyclic boundary conditions for 3D Validation ---------------- - Vertical profiles of mean quantities: MEAN_RC, MEAN_RR, MEAN_U, MEAN_V, MEAN_W, MEAN_THL - Subgrid flux profiles: SBG_WTHL, SBG_WRT - Total water and mass flux: MEAN_RT, MEAN_MF - Cloud fraction validation at different levels Numerical ressources ---------------- 1D: Single CPU (1 node, 1 core) 3D: 2 nodes, 128 cores (MPI parallel) References ---------------- - Brown, A.R., et al. (1999): Large-Eddy Simulation of Atmospheric Boundary Layer, BLM, 91, 271-289. - Xu, K.M., and D.K. Araker (1995): The behavior of macrophage-like cells in small cumulus clouds. J. Atmos. Sci., 52, 2923-2942.