Nonhydrostatic Icosahedral Model (NIM) A 3-D finite-volume NIM Jin Lee (+ other contributors)
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1 Nonhydrostatic Icosahedral Model (NIM) A 3-D finite-volume NIM Jin Lee (+ other contributors)
2 Earth System Research Laboratory (ESRL) NOAA/OAR GFDL,NSSL,ARL,AOML,GLERL,PMEL Aeronomy Lab. Climate Diagnostic center Climate Monitoring and Diagnostic Lab Environmental Technology Lab Forecast Systems Lab Chemical Sciences Div Global Monitoring Div Physical Sciences Div Global Systems Div
3 Earth System Research Laboratory (ESRL) NOAA/OAR GFDL,NSSL,ARL,AOML,GLERL,PMEL Aeronomy Lab. Climate Diagnostic center Climate Monitoring and Diagnostic Lab Environmental Technology Lab Forecast Systems Lab Chemical Sciences Div Global Monitoring Div Physical Sciences Div Global Systems Div Modeling goal: to develop a non-hydrostatic icosahedral global model for weather and climate predictions
4 ESRL finite volume Icos models (FIM/NIM) ESMF FIM (flow-following finite- NIM (Nonhydrostatic Icosahedral Target resolution 10 km Target resolution : O(1 km) and beyond A hydrostatic model consists of 2-D Extension of 2-D finite-volume integration finite-volume SWM coupled with hybrid σ-θ vertical solver. Produce accurate medium-range weather forecasts into 3-D integration on control volume defined on the height coordinate. Use the latest GPU technology to speed up high-resolution model calculations. volume Icosahedral model): Global Modeling Program Review model): 19 Apr
5 Finite-volume Integrations on Local Coordinate Lee and MacDonald (MWR, 2009): A Finite-Volume Icosahedral Shallow Water Model on Local Coordinate. 2-D f.-v. operator carried out on straight lines, rather than along the 3-D curved lines on the sphere NOAA Earth System Research Laboratory Boulder, Colorado Page 5
6 NOAA Earth System Research Laboratory Boulder, Colorado Page 6
7 NOAA Earth System Research Laboratory Boulder, Colorado Page 7
8 NOAA Earth System Research Laboratory Boulder, Colorado Page 8
9 NOAA Earth System Research Laboratory Boulder, Colorado Page 9
10 3-D control volume box NOAA Earth System Research Laboratory Boulder, Colorado Page 10
11 3-D control volume box NOAA Earth System Research Laboratory Boulder, Colorado Page 11
12 NOAA Earth System Research Laboratory Boulder, Colorado Page 12
13 NOAA Earth System Research Laboratory Boulder, Colorado Page 13
14 NIM/GPU implementation CPU GPU Bigger Systems More Expensive Facilities Bigger Power Bills Lower System Reliability times faster 10x less power 10x lower cost NIM was implemented on CPU and GPU Architectures Code converted to CUDA using the F2C-ACC compiler we developed NIM used by vendors (PGI,CAPS) to benchmark commercial GPU compilers Single GPU communications GPU#1 Output Input CPU#1 Serial Performance 2009: 34x Tesla / Harpertown 2010: 20x Fermi / Nehalem Multi - GPU communications GPU#1 GPU#2 Parallel Performance 2010: 15x with MPI communications CPU#1 SMS MPI communications CPU#2 14
15 NOAA Earth System Research Laboratory Boulder, Colorado Page 15
16 NIM mesoscale 2 D (X Z) test cases: (in 3 D model frame work) heat forced circula\on, warm bubble, density current, mountain waves
17 Explicit.vs. Implicit tri diag solvers t= 0.0 min t= 0.0 min
18 Explicit.vs. Implicit tri diag solvers t= 14.0 min t= 14.0 min
19 Icosahedral grid stagger issues A grid? C grid? Z grid?. Jin Lee, Wen Yih Sun, A.E. MacDonald CONCLUSION: NO PERFECT ICOS-GRID STAGGERING.
20 NIM 800 day aqua planet simulation
21 NIM aqua planet simula\on Hoskins et al. (1999), Tellus NIM mean zonal wind
22 perturbation pressure meridional wind vertical velocity
23 Final remarks and outlook A Nonhydrostatic Icosahedral Model (NIM) dycore has been developed and tested w/ mesoscale benchmarks Implemented NIM on CPU/GPU for efficient model integration. Incorporated GFS and GRIMs physical packages into NIM dycore. Aqua-planet simulations to test dynamics/physics interfaces. Equatorial waves analysis, CPs, Super-Parameterization, and GCRMs.
24 Hurrell, etal. BAMS, 2009
25 Final remarks and outlook A Nonhydrostatic Icosahedral Model (NIM) dycore has been developed and tested w/ mesoscale benchmarks Implemented NIM on CPU/GPU for efficient model integration. Incorporated GFS and GRIMs physical packages into NIM dycore. Aqua-planet simulations to test dynamics/physics interfaces. Equatorial waves analysis, CPs, Super-Parameterization, and GCRMs. NIM for high resolution real time weather forecasts initialized w/ GSI.
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