Results from CAM-SE AMIP and coupled simulations

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Results from CAM-SE AMIP and coupled simulations Cécile Hannay (AMP) Rich Neale, Peter Lauritzen, Mark Taylor, Julio Bacmeister, Joe Tribbia, Sungsu Park, Andy Mai, Gokhan Danabasoglu, and many others. Thanks for help process and analyze diagnostics and set up experiments to: Andy Mai, Adam Phillips, Mariana Vertenstein, Gokhan Danabasoglu, Sam Levis, Dave Bailey, Keith Olesson, and Jack Chen.

Outline What s new in the CAM5 family? AMIP simulations Coupled simulations A few words about timing

The CAM5 family Version Release Description CAM5 (CESM1.0) CAM5.1 (CESM1.0.3) CAM5.2 (CESM1.1) June 2010 June 2011 Nov 2012 Physics: New set of parameterizations in CAM (representation of aerosol indirect effect) Dynamics: Finite Volume dycore (CAM-FV) Minor changes in the physics Bug fix + tuning improvements Used for CMIP5 runs Dynamics: Spectral element dycore (CAM-SE) Improves scalability of CAM (no polar filter) CAM-FV CAM-SE CAM5.3 (CESM1.2.0) June 2013 New vertical advective scheme (Lagrangian) Options: - Prescribed MAM aerosols - MG1.5 microphysics CAM-FV means CAM with the Finite Volume dycore CAM-SE means CAM with the Spectral Element dycore Resolution: CAM-FV (1 degree) CAM-SE (ne30)

Why do we need CAM5.3? CAM5.2: Stratocumulus are degraded with SE dycore CAM-FV mean = -48.9 W/m 2 SWCF (W/m2) CERES-EBAF mean = -47.1 W/m 2 CAM-SE mean = -47.7 W/m 2

Vertical transport in CAM-SE Vertical advection of tracers (q, ) (Lagrangian method) CAM-SE CAM5.2 Vertical advection of T (Eulerian method) CAM5.3 (Lagrangian method) same floating vertical coordinate as CAM-FV Processes maintaining stratocumulus deck

Lagrangian code improves stratocumulus deck Stratocumulus in CAM5.3 SWCF (W/m2) CERES-EBAF mean = -47.1 W/m 2 CAM-FV mean = -48.9 W/m 2 CAM-SE + Lagrangian code mean = -48.1 W/m 2 CAM5.3: released last week!

Changes in CAM5.3 (for reference) Dynamics Use floating Lagrangian vertical coordinate also for non-mass variables (T,u,v). Change vertical remapping algorithm Piecewise Spline Method (PSM) is replaced by Piecewise Parabolic Method (PPM) PPM is also used used in CAM-FV and is courtesy of Matt Norman (ORNL, Oakridge) => significant speed up of vertical remapping. (CPU and GPU version of cam are the same) Shape-preserving filters on vertical remapping of velocity components Energy-fixer turned on Remap T instead of total energy Bugfix in hyperviscosity code (important only for variable resolution grids) Physics Prescribed MAM aerosol (PNNL) as an option MG1.5 microphysics as an option Reduced size history files (namelist flags for extra output) Slide: courtesy of Peter Lauritzen

Outline What s new in the CAM5 family? AMIP simulations CAM-FV CAM-SE (50 years) (50 years) Coupled simulations A few words about timing

AMIP runs: Taylor diagram RMSE Bias CAM-FV 0.88 1.21 CAM-SE 0.83 1.19 CAM-SE is competitive with CAM-FV CCSM3.5 CAM-FV (1deg) CAM-SE (ne30)

AMIP runs: Surface stress Observed surface stress Large-Yeager (2009) Surface stress errors CAM-FV - Obs CAM-SE - Obs Significant differences in surface stress - Southern oceans - Close to Greenland Surface stress differences CAM-SE CAM-FV

Outline What s new in the CAM5 family? AMIP simulations Coupled simulations 1850 control runs CESM1.2.0 (CAM-SE) CESM1.1.1 (CAM-FV) (90 years) (400+ years) Large-ensemble A few words about timing

Temperature biases Model HadISST (Hurrell, 2008) CESM1.1.1 (CAM-FV) mean = -0.18 K RMSE = 0.90 K CESM1.2.1 (CAM-SE) mean = -0.07K RMSE = 0.88 K Overall: similar bias pattern

Coupled run: Taylor diagram RMSE Bias CCSM4 (CAM4-FV) 0.88 0.78 CESM1.1.1 (CAM5-FV) 0.79 1.51 CESM1.2.0 (CAM5-SE) 0.76 1.37 CAM-SE is competitive with CAM-FV Reference = CCSM3.5 CESM1.1.1 (CAM-FV) CESM1.2.1 (CAM-SE)

Nino3.4 SST variability CESM1.2.0 (CAM-SE) - Realistic 3-6 yr ENSO period - overestimates ENSO amplitude Caveat: only 90-year simulation Nino3.4 power spectrum Observations CESM1.2 SE CESM1.1 FV Courtesy: Adam Phillips

Arctic Sea-Ice Ice thickness and extent are reduced in CAM-SE Consistent with warmer sea-ice in CAM-SE. This might be an issue in 20 th century run. CAM-SE CAM-FV Sea-ice thickness Sea-ice concentration

Land mean climate Land diagnostics: overall, CAM-SE is competitive with CAM-FV RMSE of 2-meter air temperature (TSA) CAM-SE Model relative to obs CAM-FV green means CAM-SE is better red means CAM-FV is better

Ocean Meridional Overtuning Circulation (MOC) MOC is weaker in CAM-SE (caveat: short run) CAM-FV CAM-SE Global MOC Atlantic MOC

Outstanding questions in the coupled simulation Coupled simulation is not scientifically validated yet We need longer integrations to validate CAM-SE in coupled mode Surface wind stress: CAM-SE - CAM-FV Surface stress is significantly different in CAM-FV and CAM-SE What is the impact on the coupled run? Sensitivity to initial condition (ocean) with CAM-SE? Start from: spunup ocean Levitus Grid differences at high latitudes What s the impact on physics and remapping? Red: CAM-SE grid Blue: CAM-FV grid (at about 2 degree) Plot: courtesy of Peter Lauritzen

Outline What s new in the CAM5 family? AMIP simulations Coupled simulations A few words about timing

Model cost On Yellowstone with ~1K processors => cost increase by 50% Model dycore CESM (CAM-FV 1 deg) CESM (CAM-SE ne30) Model cost 1350 pe-hrs/simulated years 2000 pe-hrs/simulated years ne30 is developed as a testbed for CAM-SE Target resolution ¼ degree and higher Dennis et al. (2012) ¼ degree simulations on intrepid CAM-SE is a highly scalable dynamical core ¼ degree CAM-SE CAM-FV CAM-EUL

In summary CAM5.3 was released on June 12, 2013 (as atmosphere component of CESM1.2.0) - Include both FV and SE dycore - Fix stratocumulus problem present in CAM5.2 with SE dycore In standalone mode: CAM-SE is definitely ready AMIP run: CAM-SE is competitive with CAM-FV (better Taylor score) CAM-SE is not scientifically validated yet in coupled mode. Initial results of coupled run (CAM-SE compared to CAM-FV): - Equivalent or better simulation for atmosphere and land component - Indications that sea-ice maybe be thinner and MOC weaker (caveat: short run) Outstanding issues - Impact of surface stress differences - Grid differences at high latitudes (impact on physics and remapping) - Sensitivity to the initial condition (ocean) in CAM-SE?

Thanks