A new century-long high-resolution global climate run using the Community Earth System Model.

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Office of Science (BER) and NERSC and DOE/UCAR Co-operative Agreement US Department of Energy NCAR-Wyoming Supercomputer Center National Science Foundation A new century-long high-resolution global climate run using the Community Earth System Model. An Accelerated Scientific Discovery Simulation. Justin Small, Julio Bacmeister, Allison Baker, David Bailey, Stu Bishop, Frank Bryan, Julie Caron, John Dennis, Jim Edwards, David Lawrence, Andy Mai, Ernesto Muñoz, Tim Scheitlin, Bob Tomas, Joe Tribbia, Yu-heng Tseng, Mariana Vertenstein National Center for Atmospheric Research Thanks also to Adam Phillips, John Truesdale, Gary Strand

Motivation Resolve or permit atmosphere and ocean mesoscale and any consequent influence on larger scale climate system Test CAM5 at high resolution in a coupled context Some drift issues with CAM4 in high-res coupled runs

Community Earth System Model (CESM) Model components high-resolution model 1/4deg. Community Atmosphere Model (CAM5) spectral element ne120 1/4deg. Community Land Model (CLM4) ~1/10deg. Parallel Ocean Program (POP2), 62 vertical levels ~1/10deg. Community Ice CodE (CICE) External forcing, Initial Condits, coupling Present day (year 2000) conditions Short (1 year) ocean-ice spin up from Gouretski and Koltermann (2004) climatology of WOCE and other data, forced by CORE 6 hour ocn-atm coupling

Simulation performed on Yellowstone Yellowstone (NCAR-Wyoming Supercomputer Center, at Cheyenne, WY) IBM idataplex architecture with Intel Sandy Bridge processors. 1.5-petaflops high-performance computing system with 72,288 processor cores, 144.6 TB of memory, Accelerated Scientific Discovery (ASD) phase used 25M core hours Yellowstone

Planned Papers/Projects Overview Paper (ASD group). Pacific climate variability in high-res coupled model (Kwon, Schneider, Tseng) Storm tracks, connection between surface and troposphere (Kwon, Booth, Small) Air-sea coupling over ocean eddies (Small, Bryan, Tomas, Schneider, O Neill) Extremes (Saravanan, Kwon, Jochum, SØrensen, Neale) Near-inertial waves and mixing (Jochum, SØrensen) Tropical Atlantic (Small, Mechoso, Jochum, Keenlyside, Munoz) Southern Ocean (Doney, Lima, Long, Youngs) Ice sheet melt/amoc at high resolution (Le Bars, CESM1.0.4 at 0.5 degree atmosphere (FV) and 0.1 degree ocean)

Climate Drift (1) (a) (b) Fig. 1 Timeseries of globally-averaged quantities. a) Top of atmosphere net radiation, positive incoming to Earth. Thin solid line is annual mean timeseries and thick solid line is 10-year running mean. B) surface (ocean, land, ice) temperature, 10-year running average.

-0.4 Wm -2 2.4 Climate Drift (2) TOA radiation 287.4 K 288.7 Surface Temp. (b) NH Ice Vol SH Ice Vol NH Ice Area SH Ice Area Depth (m) Area ave. ocean Temp. 0 Model Year 100 25 Global Ocean Mean KE cm 2 s -2 45 Global ave. ocean KE 0 Model Year 100

Sea Ice Extent Climatology Northern Hemisphere Southern Hemisphere

CESM1-CAM5 LR JAS Ice Area CESM1-CAM5 LR JFM CESM1-CAM5 HR JAS CESM1-CAM5 HR JFM Top panels: standard res CESM1 Bottom panels: high-res CESM1

Data Access Data available On hpss and spinning disk (/glade/p/ncgd0001) on Earth System Grid (ESG) http://www.earthsystemgrid.org/ Data: 14 year coupled spin up 86 year main run Can be combined for 100 year run 1 year of hourly data for limited # of fields (not yet posted) 40 years of 6-hour or daily data for a number of ocean, atmosphere, ice, land fields

Animation Courtesy Tim Scheitlin (CISL, NCAR) Sea ice from year 14 of run. Color shows SST

Extra slides

Fig. 19. Heat transport ASD run yrs 20-45. Seasonal cycle included in eddy term (thin solid). PetaApps runs (Kirtman et al 2012). Overlay latest Trenberth estimate.

AMOC Mean overturning streamfunction in Sverdrups Standard deviation of interannual variability

(g) Depth (m) Fig. 1 Timeseries of globally-averaged quantities. g) globally averaged ocean potential temperature, vs depth to 1000m Right: As left but from GFDL CM2.1 (standard res) and 2.5 (high res, 0.5deg atm, ~1/4deg ocn), first 250 years. Delworth et al. 2012. They find big improvement going to 1/10deg ocean (CM2.6). speculate that parameterizing (CM2.1) or fully resolving ocean eddies (in CM2.6) reduces the subsurface warming, whereas partly-resolving eddies has a detrimental effect (CM2.5).

Community Earth System Model (CESM) high-resolution simulations Main coupled run 100 years of fully coupled simulation for Present day (year 2000) greenhouse gas emissions Short (1 year) ocean-ice spin up from Gouretski and Koltermann (2004) climatology of WOCE and other data, forced by CORE 6 hour ocn-atm coupling Supporting simulations 15 year CORE forced ocean-ice runs 7 year atmosphere-only runs (x2) high res SST 10 year smoothed SST coupled run 1 year high frequency coupling run (1 hour) High vertical resolution CAM5-SE runs

Performance on Yellowstone Statistics: Component configuration 2.0 simulated years per day Ocean model (6,124 cores) 1 TB of data generated per day Sea-ice model (16,295 cores) 23,404 cores of Yellowstone Atmosphere (17,280 cores) 300K pe-hours per sim. Year Land (900 cores) Ocean 2 minute timestep Atmos 10 or 15 minute Coupler (10,800 cores) Time Approximate schematic of run sequence MPI tasks

SST climatology - bias (a) I Annual mean SST bias. CAM5 ne30. (b) a) CESM with CAM5 ne30-1v6. 1850 control run. Yrs 111-130 b) High-res global run Hi-res run. a) is relative to HadISST (preindustrial) and b) relative to HadISST (present day).

Precipitation climatology & bias (a) COUPLED ne30 (b) (d) ASD Update ASD run to yrs 45-76 (c) UNCOUPLED ne120 Fig. 4. Precipitation bias fields for annual mean climatology, relative to GPCP. A) CESM with ne30 (1850 run) b) coupled high resolution run c) uncoupled ne120 run d) Full GPCP field.

Wind stress climatology & bias (a) (b) HI-RES COUPLED HI-RES COUPLED O I (c) ERS SCAT. (d) HI-RES UNCOUPLED Fig. 5. Surface wind stress (vectors) and (e) magnitude of mean stress vector in color. Annual mean climatology. a) High-res Coupled run c) ERS scatterometer. b, d,e) difference of model and ERS scatterometer, b) High-res coupled d) atmosphere-only and e) low-res coupled (CAM5-ne30-1850 run). LOW-RES COUPLED CAM5 ne30.