Variable-Resoluiton Global Atmospheric Modeling Spanning Convective to Planetary Scales
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1 Variable-Resoluiton Global Atmospheric Modeling Spanning Convective to Planetary Scales Bill Skamarock, NCAR/MMM MPAS consists of geophysical fluid-flow solvers based on unstructured centroidal Voronoi (hexagonal) meshes using C-grid staggering and selective grid refinement. MPAS-Atmosphere: Nonhydrostatic global atmospheric model Time integration as in Advanced Research WRF Spatial discretization similar to ARW except for Voronoi mesh accommodations. Regional refinements embedded within global models will be the first nonhydrostatic climate applications.
2 What problems are we trying to circumvent with MPAS? Expense of climate/weather simulations regional refinement cuts costs by an order of magnitude Problems with traditional nesting Nested-grid systems are non-conforming Abrupt changes in resolution are bad Fixes are ad hoc (e.g. sponge layers) Regional climate/weather modeling problems Different driving models and different physics lead to solution mismatches at the lateral boundaries Global driving solution, nest solution can diverge over long simulations Fixes are ad hoc (e.g. spectral nudging)
3 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS Application Test NOAA SPC/NSSL HWT May 2015, May 2016 Convective Forecast Experiment MPAS 2016 mesh Daily 5-day MPAS forecasts 00 UTC GFS analysis initialization Application question: Can a global variable-resolution convection permitting model provide extended range severe weather guidance? Modeling question: Will the physics behave appropriately in the different regions of the mesh (coarse, fine, and transition region)? 3 15 km mesh, x contours 4, 6, 8, 10, 12, 14 km approximately 6.49 million cells (horz.) 50% have < 4 km spacing (194 pentagons, 182 septagons)
4 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS MPAS meshes: MPAS 2016 mesh 50 3 km (2015) and 15-3 km (2016) variable resolution. CONUS is the 3 km regions. MPAS Physics: WSM6 cloud microphysics (2015) Thompson microphysics (2016) Grell-Freitas convection scheme (scale-aware) Monin-Obukhov surface layer MYNN PBL Noah land-surface RRTMG lw and sw : One step closer to the HRRR physics 3 15 km mesh, x contours 4, 6, 8, 10, 12, 14 km approximately 6.49 million cells (horz.) 50% have < 4 km spacing (194 pentagons, 182 septagons)
5 Grell-Freitas Convection Scheme in MPAS Scale-aware/aerosol-aware (Grell and Freitas, 2014, ACP) Stochastic scheme (Grell and Devenyi, 2002). Scale aware by adapting the Arakawa et al approach (2011). o Relates vertical convective eddy transport to convective updraft/downdraft fraction o GF: is the fractional area covered by active updraft and downdraft plume. o At convection-permitting resolution, parameterized convection becomes much shallower cloud tops near 800 mb (down from mb). o Temperature & moisture tendencies decrease as resolution increases.
6 Grell-Freitas Convection Scheme in MPAS Precipitation rate over the period 00 UTC 11 Jan and 00 UTC 14 Jan 2014 Fowler et al (2016, MWR) TRMM precipitation analysis (mm) 50-3 km var-res MPAS using Grell-Freitas convective scheme
7 Grell-Freitas Convection Scheme in MPAS TRMM precipitation analysis 50-3 km var-res MPAS using Grell-Freitas convective scheme 4 and 8 km cell spacing (red contours)
8 Grell-Freitas Convection Scheme in MPAS Scale-aware Grell-Freitas scheme Grell-Freitas scheme, non-scale-aware No convection scheme Fowler et al (2016, MWR)
9 500 hpa winds, heights, temps (NOAA/SPC) 00 UTC 09 May 2016 NOAA/SPC surface analysis 00 UTC 9 May 2016 NOAA/SPC radar composite
10 MPAS 24h Max Updraft Helicity (m2/s2) MPAS 36h forecast MPAS 60h forecast MPAS 84h forecast MPAS 108h forecast
11 GFS analysis, 00 UTC 9 May 2016 MPAS 24h forecast MPAS 72h forecast MPAS 120h forecast
12
13 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS Verification region
14 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS
15 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS
16 Hazardous Weather Testbed Spring Experiment 2015, 2016 Forecasts Results from MPAS
17 Summary Variable-resolution, nonhydrostatic-scale atmospheric simulations are viable Variable-resolution mesh is producing clean solutions in the mesh transition region. GF convection scheme appears to be viable for hydrostatic-nonhydrostatic scale-aware applications. Further work/tuning needed, particularly in the tropics. Fidelity of convection similar to that in ARW. Simulation rates >100 days/day are attainable. (operational centers could do this today) Challenges Scale-aware physics: Convection Microphysics Boundary layer Data assimilation on variable meshes. Physics for climate applications?
18 MPAS Development Plans Community Earth System Model (CESM) MPAS-A is an atmospheric dynamical core in CAM NWP testing is underway, focused on tropical cyclones Coupled model simulations are underway (w/ocean) Physics evaluation for NWP is major focus of early testing
19 MPAS Development Plans Community Earth System Model (CESM) MPAS-A is an atmospheric dynamical core in CAM NWP testing is underway, focused on tropical cyclones Coupled model simulations are underway (w/ocean) Physics evaluation for NWP is major focus of early testing Regional MPAS-Atmosphere We are constructing a regional version of MPAS-A General release (MPAS Version 6) mid-late 2017
20 MPAS Development Plans Community Earth System Model (CESM) MPAS-A is an atmospheric dynamical core in CAM NWP testing is underway, focused on tropical cyclones Coupled model simulations are underway (w/ocean) Physics evaluation for NWP is major focus of early testing Regional MPAS-Atmosphere We are constructing a regional version of MPAS-A General release (MPAS Version 6) mid-late 2017 MPAS-Atmosphere and Data Assimilation DA work underway with DART and NCEP/GSI MPAS-Atmosphere and shared model components We are developing a common physics repository for MPAS and WRF We are planning to link CAM build to MPAS-A from the MPAS-A development/release repository MPAS-Atmosphere drives regional WRF (one-way) MPAS V5 release (late 2016). MPAS-Atmosphere optimizations Current development dycore is now multithreaded and hybrid (OpenMP and MPI), and is bit-reproducible regardless of parallel configuration Recent optimizations development dycore is twice as fast as current (V4) release. Available in V5 release. Ongoing work for next generation architectures (Intel MIC, GPUs)
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