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Nonhydrostatic Icosahedral Model (NIM) Jin Lee. NIM Project Goal: A non-hydrostatic global model for earth system modeling, and weather and intra-seasonal.

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Presentation on theme: "Nonhydrostatic Icosahedral Model (NIM) Jin Lee. NIM Project Goal: A non-hydrostatic global model for earth system modeling, and weather and intra-seasonal."— Presentation transcript:

1 Nonhydrostatic Icosahedral Model (NIM) Jin Lee

2 NIM Project Goal: A non-hydrostatic global model for earth system modeling, and weather and intra-seasonal climate predictions. Active groups developing global non-hydrostatic models: CSU-icosahedral model (Prof. Randall – Colorado State Univ.), NICAM/Earth Simulator: Prof. Satoh MPI/DWD, IAP – ICON project NOAA/ESRL – FIM/NIM NCAR/MPAS – Joe Klemp, Bill Skamarock OLAM - Robert Walko ECMWF – A nonhydrostatic global model (dx=6km) for medium range NWP. NCEP - global WRF/NMM formulated on lat/lon grid UKMO – ENDGame GFDL/NASA NRL & NPS - NUMA

3 Page 3 Weather Forecast ( Initial Boundary Value Problem ) Climate Projection ( Forcing Problem ) 0~2 weeks Non-Hydrostatic Limited Area Models decadal, millennia Hydrostatic Global Models Lateral Boundary Limitation Inadequate GCM Cumulus Parameterizations

4 Page 4 Weather Forecast ( Initial Boundary Value Problem ) Climate Projection ( Forcing Problem ) 0~2 weeks Non-Hydrostatic Limited Area Models decadal, millennia Hydrostatic Global Models GCRM to “Explicitly Resolve” Tropical Convective Cloud Systems Lateral Boundary Limitation Inadequate GCM Cumulus Parameterizations Weather/Climate Connection Intra-seasonal forecasts Unified Approach: Global Cloud Resolving Model (GCRM)

5 NIM Project Goal: A non-hydrostatic global model for earth system modeling, and weather and intra-seasonal climate predictions. Active groups developing global non-hydrostatic models: CSU-icosahedral model (Prof. Randall – Colorado State Univ.), NICAM/Earth Simulator: Prof. Satoh MPI/DWD, IAP – ICON project NOAA/ESRL – FIM/NIM NCAR/MPAS – Joe Klemp, Bill Skamarock ECMWF – A nonhydrostatic global model for medium range NWP. NCEP - global WRF/NMM formulated on lat/lon grid UKMO – ENDGame GFDL/NASA NRL & NPS – NUMA KMA ( Korea )

6 NIM Project Goal: A non-hydrostatic global model for earth system modeling, and weather and intra-seasonal climate predictions. Active groups developing global non-hydrostatic models: CSU-icosahedral model (Prof. Randall – Colorado State Univ.), NICAM/Earth Simulator: Prof. Satoh MPI/DWD, IAP – ICON project NOAA/ESRL – FIM/NIM NCAR/MPAS – Joe Klemp, Bill Skamarock ECMWF – A nonhydrostatic global model for medium range NWP. NCEP - global WRF/NMM formulated on lat/lon grid UKMO – ENDGame GFDL/NASA NRL & NPS – NUMA KMA ( Korea )

7 ESMF 7 NIM Nonhydrostatic Icosahedral Model Target resolution : O (1 km) and beyond Extension of 2-D finite-volume integration into 3-D integration on control volume for multi-scales simuliations. Use the latest GPU technology to speed up high-resolution model calculations.NIM Nonhydrostatic Icosahedral Model Target resolution : O (1 km) and beyond Extension of 2-D finite-volume integration into 3-D integration on control volume for multi-scales simuliations. Use the latest GPU technology to speed up high-resolution model calculations.FIM Flow-Following Finite-volume Icosahedral Model Target resolution ≥ 10 km A hydrostatic model consists of 2-D finite-volume SWM coupled with hybrid σ-θ vertical solver. Produce accurate medium-range weather forecastsFIM Flow-Following Finite-volume Icosahedral Model Target resolution ≥ 10 km A hydrostatic model consists of 2-D finite-volume SWM coupled with hybrid σ-θ vertical solver. Produce accurate medium-range weather forecasts Hydrostatic Non-Hydrostatic ESRL Finite-Volume Icos-Models (FIM/NIM)

8 8 Dynamics Design Physics Aqua-planet 2008200920112012 by Jin and MacDonald Dynamical core test Physics packages implement Aqua-planet with dry physics Aqua-planet simulation with full physics Multiple processes (SMS) GPU Development History of NIM

9 9 Development Plan of NIM Topography (1) Real data test runs Real-time Runs 201220132014 Real data preparation for NIM modeling systems NIM real data medium range weather forecasts at 30 km Global 4 km rapid refresh Satellite hot start Operational Tests 2015

10 NIM multi-scales test cases: heat forced circulation, mountain waves, warm bubble, density current (cold bubble), Internal gravity waves, multi-months aqua-planet simulations

11 11 Comparisons of vertical solvers with the warm bubble simulation. A rising thermal in an isentropic atmosphere.

12 t= 0.0 min Explicit.vs. Implicit tri-diag solvers

13 t= 1.0 min Explicit.vs. Implicit tri-diag solvers

14 t= 2.0 min Explicit.vs. Implicit tri-diag solvers

15 t= 3.0 min Explicit.vs. Implicit tri-diag solvers

16 t= 4.0 min Explicit.vs. Implicit tri-diag solvers

17 t= 5.0 min Explicit.vs. Implicit tri-diag solvers

18 t= 6.0 min Explicit.vs. Implicit tri-diag solvers

19 t= 7.0 min Explicit.vs. Implicit tri-diag solvers

20 t= 8.0 min Explicit.vs. Implicit tri-diag solvers

21 t= 9.0 min Explicit.vs. Implicit tri-diag solvers

22 t= 10.0 min Explicit.vs. Implicit tri-diag solvers

23 t= 11.0 min Explicit.vs. Implicit tri-diag solvers

24 t= 12.0 min Explicit.vs. Implicit tri-diag solvers

25 t= 13.0 min Explicit.vs. Implicit tri-diag solvers

26 t= 14.0 min Explicit.vs. Implicit tri-diag solvers

27 27 NIM density current simulation. Negative buoyancy to initiate density current.

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73 Internal Gravity Waves

74 Internal gravity waves

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111 Aqua-planet simulations

112 NIM 800-day aqua-planet simulation MODEL NIM/GFS NIM/GRIMs SST Zonally uniform, max. temp. on equator Resolution G5 (∆x ~ 240 km) Vertical 32 Stretch layers Model top 25 km ∆t 20 min 112

113 Hoskins et al. (1999), Tellus NIM/GRIMs 113 Mean Zonal Winds (3-month)

114 MSLP + precip

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124 GPCP (OBS)NIM Global mean precipitation

125 125 A Nonhydrostatic Icosahedral Model (NIM) dynamical core has been developed and tested w/ multi-scales benchmarks, Incorporated GFS and GRIMs physics into NIM dynamical core, Aqua-planet simulations to test dynamics/physics interfaces, Implemented NIM on CPU/GPU for efficient GCRM integration, NIM for weather and intra-seasonal forecasts at < 10-km resolution initialized w/ EnKF. Final remarks and Outlook

126 NIM mountain waves simulation

127 icosahedral griddifferent topology Non-uniform resolution Stretched (Tomita2008) quasi-uniform Newly proposed


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