CAM5.4 simulations: the good, the bad and the ugly. Cécile Hannay and Rich Neale (AMP)
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1 CAM5.4 simulations: the good, the bad and the ugly Cécile Hannay and Rich Neale (AMP)
2 The CAM family Model CAM4 CCSM4 CAM5.1 CESM1.0.3 CAM5.3 CESM1.2.0 Release Apr 2010 June 2011 June 2013 PBL HB UW UW Shallow conv. Hack UW UW Deep conv. ZM ZM ZM Microphysics RK MG MG Macrophysics RK Park Park Radiation CAMRT RRTMG RRTMG Aerosols BAM MAM3 MAM3 Dynamics FV FV SE = New parameterization/dynamics
3 The CAM family Model CAM4 CCSM4 CAM5.1 CESM1.0.3 CAM5.3 CESM1.2.0 Release Apr 2010 June 2011 June 2013 PBL HB UW UW Shallow conv. Hack UW UW Deep conv. ZM ZM ZM Microphysics RK MG MG Macrophysics RK Park Park Radiation CAMRT RRTMG RRTMG Aerosols BAM MAM3 MAM3 Dynamics FV FV SE New development Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate (Change mode widths + mode exchange) CLUBB UNICON (CAM5.5 panel) = New parameterization/dynamics
4 The CAM family Model CAM4 CCSM4 CAM5.1 CESM1.0.3 CAM5.3 CESM1.2.0 Release Apr 2010 June 2011 June 2013 PBL HB UW UW Shallow conv. Hack UW UW Deep conv. ZM ZM ZM Microphysics RK MG MG Macrophysics RK Park Park Radiation CAMRT RRTMG RRTMG Aerosols BAM MAM3 MAM3 Dynamics FV FV SE CAM5.4 June 2015 UW UW ZM MG2 Park RRTMG MAM4 FV = New parameterization/dynamics
5 The CAM family Model CAM4 CCSM4 CAM5.1 CESM1.0.3 CAM5.3 CESM1.2.0 Release Apr 2010 June 2011 June 2013 PBL HB UW UW Shallow conv. Hack UW UW Deep conv. ZM ZM ZM CAM5.4 June 2015 UW UW ZM CAM CLUBB CLUBB ZM MG2 CLUBB RRTMG MAM4 FV Microphysics RK MG MG MG2 Macrophysics RK Park Park Park Radiation CAMRT RRTMG RRTMG RRTMG Aerosols BAM MAM3 MAM3 MAM4 Dynamics FV FV SE FV = New parameterization/dynamics CAM UW UNICON UNICON MG2 Park RRTMG MAM4 FV
6 The CAM family Model CAM4 CCSM4 CAM5.1 CESM1.0.3 CAM5.3 CESM1.2.0 Release Apr 2010 June 2011 June 2013 PBL HB UW UW Shallow conv. Hack UW UW Deep conv. ZM ZM ZM CAM5.4 June 2015 UW UW ZM CAM CLUBB CLUBB ZM MG2 CLUBB RRTMG MAM4 FV Microphysics RK MG MG MG2 Macrophysics RK Park Park Park Radiation CAMRT RRTMG RRTMG RRTMG Aerosols BAM MAM3 MAM3 MAM4 Dynamics FV FV SE FV = New parameterization/dynamics CAM UW UNICON UNICON MG2 Park RRTMG MAM4 FV
7 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
8 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation Reduce aerosol-cloud interaction Reduce aerosol indirect effect Reduce SW biases in Southern ocean MAM4 (primary carbon mode) 32-level model (Gettelman et al, J. Climate, 2015) Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
9 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Mixed-phase cloud ice nucleation Better treatment of ice nucleation in cirrus Produces better cloud ice concentration (Wang et al, Atmos. Chem. Phys. Discuss, 2014) (Shi et al, Atmos. Chem. Phys. Discuss, 2014) Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
10 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Includes treatment of black carbon Improves simulation of black carbon at high-latitude (Liu et al., to be submitted) Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
11 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model consistent levels between CAM and WACCM at CAM top New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
12 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate Improved dust emissions size distribution Improved dust optical properties Soil erodibility maps Better magnitude and variability of dust cycle (Albani et al., JAMES, 2014)
13 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Fix an error in the energy formulation in CAM ( Williamson et al., JAMES, 2015) Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
14 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Change FV vertical remapping from energy to temperature Add capability to do prognostic stratospheric volcanic sulfate
15 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation New software to generate topo data to accommodate unstructured grids and enforce more physical consistency (Lauritzen et al, AMWG workshop, 2012) Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate
16 New development in CAM5.4 Prognostic precipitation (MG2) New ice nucleation MAM4 (primary carbon mode) 32-level model Improved dust model New energy formulation Change FV vertical remapping Consistent topography files for FV Add capability to do prognostic stratospheric volcanic sulfate Change mode widths Allow mode exchange between coarse and accumulation in stratosphere Ghan and Zaveri, J. Geophys. Res (2007)
17 Coupled run with CESM-CAM5.4 Coupled run started from Large Ensemble at year year simulation TS stabilizes after 40 yrs RESTOM < -0.1 W/m2
18 CESM-CAM5.4 versus large-ensemble Global means better worst Obs Large-ens CAM5.4 SWCF (W/m2) -47.1(*) LWCF (W/m2) 26.0 (*) Precipitable H 2 0 (mm) 24.6 (*) SST (Celsius) 20.3 (**) AODVIS (*) = present day value (**) pre-industrial value
19 SWCF (W/m 2 ) Large-ensemble DJF CAM5.4 DJF Model Obs Model Obs Globally, Large-ensemble gets good SWCF But it is for the wrong reason (large compensating errors)
20 LWCF biases (W/m 2 ) Mean = ; RMSE=6.52 Large ensemble Mean = ; RMSE=5.91 CAM5.4 Globally, CAM5.4 gets good LWCF but it is for the wrong reason (large compensating errors)
21 SSTs biases (K) Mean = ; RMSE=0.91 Large ensemble Mean =-0.35; RMSE=0.99 CAM5.4 CAM5.4 is slightly colder (0.1K) and RMSE is slightly degraded
22 Surface stresses (N/m2) CAM5.4 Large-ensemble CAM5.4: Increased surface stresses amplitude
23 Taylor diagrams RMSE Bias Large-ens CAM
24 The CAM5.4 achilles heel: Nino3.4 Observations Large-ensemble CAM5.4 CAM5.4 overestimates the nino3.4 amplitude
25 The million dollar question: What does control the enso amplitude? Enso amplitude is very sensitive to some tuning parameters Dcs = autoconversion cloud ice to snow Dcs increases => less autoconversion => more cloud ice => large impact in convective region Dcs = 250 microns Dcs = 200 microns LWCF bias Modified CAM5.4 CAM5.4 LWCF bias
26 The million dollar question: What does control the enso amplitude? Enso amplitude is very sensitive to some tuning parameters Dcs = autoconversion cloud ice to snow Dcs increases => less autoconversion => more cloud ice => large impact in convective region Dcs = 250 microns Dcs = 200 microns CAM5.4 Modified CAM5.4
27 Summary: Coupled runs with CESM-CAM5.4 Compared to the large-ensemble, CESM CAM5.4 shows: Slightly colder SSTs Cloud forcing: locally better and locally worst Slightly better Taylor diagrams Increased surface stresses amplitude Nino3.4: Very large amplitude Enso amplitude is very sensitive to tuning parameters Dcs (autoconversion cloud ice to snow)
28 Thanks
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