Atmospheric composition in the Community Earth System Model (CESM)
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1 Atmospheric composition in the Community Earth System Model (CESM) Jean-François Lamarque CESM Chief Scientist National Center for Atmospheric Research
2 CESM2 components To be released in June
3 Coupling Geos-CHEM to CESM GEOS- Chem 3
4 Evolution of atmosphere model 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 May 2015 UW UW ZM MG2 Park RRTMG MAM4 FV CAM5.5 June 2015 CLUBB CLUBB ZM MG2 CLUBB RRTMG MAM4 FV = New parameterization/dynamics 4
5 CESM2: Comparison to CESM1 LENS Precipitation Climatology DJF CESM1 OBS CESM2 JJA Improvements in Indian Ocean, Indian Monsoon & SPCZ Slice from C. Deser 5
6 CESM2: Comparison to CESM1 LENS Precipitation Lines: 850-mb U Madden-Julian Oscillation Lag correlation with Indian-Ocean precip day band pass filter, 10S-10N 9 years, DJFMAM Slice from R. Neale Lines: OLR 6
7 CESM Project Based on 20+ Years of model development and application CESM Governance BioGeo- Chemistry CESM Advisory Board CESM Scientific Steering Committee Polar Climate Land Ice CESM is primarily sponsored by the National Science Foundation with other agencies Most working groups have winter/spring meetings. Annual meeting in June ( 350 participants). Atmosphere Model Chemistry- Climate Ocean Model Paleo- Climate Software Engineering CESM Whole Atmosphere Societal Dimensions Climate Variability and Change Land Model 7
8 Atmospheric composition in CESM (1) All versions discussed here are using the same code base, selecting components/physics/ through compsets Atmospheric vertical extent (standard configurations) Low-top (40 km): CAM High-top (150 km): WACCM Space weather (500 km): WACCM-X Can be used in fully-coupled, specified SSTs/SICs or specified dynamics configurations (usually MERRA) -> always coupled to land model Different dynamical cores available: FV/FV3, SE, MPAS 8
9 Atmospheric composition in CESM (2) Chemistry is based on MOZART and is flexible in its complexity (troposphere -> ionosphere) Chemistry is coupled to Modal Aerosol Model (MAM4/MAM7) -> aerosol indirect effect VBS included to represent SOA Volcanic aerosols from SO 2 emissions Specified emissions available through netcdf files (usually monthly, but flexible) Wet removal uses Neu and Prather; tied to hydrological cycle 9
10 Atmospheric composition in CESM (3) Coupling to land model Dry deposition (O 3 impact on stomatal conductance) Nitrogen (NOy/NHx) deposition impacts carbon/nitrogen cycle Black carbon deposition on snow Biogenic emissions (currently MEGAN v2.1) Dust emissions Fire emissions (incl. vertical redistribution, following M. ValMartin) from interactive fire model Wetland CH 4 emissions 10
11 Atmospheric composition in CESM (4) Coupling to ocean (specified or interactive) Dry deposition Nitrogen deposition impacts carbon/nitrogen cycle Black carbon deposition on sea-ice Sea-salt emissions Halogen emissions (specified-only) DMS (but not with latest BGC) 11
12 Typical applications Long-term simulations (historical, future, paleo-climate; e.g. CMIP6) Change in emissions, land-use, LLGHGs/ODSs Internal variability Short-term/campaign simulations Specified dynamics (incl. forecasts) Data assimilation (incl. CO/aerosols) through ensemble Kalman filter DART 12
13 CMIP6: simulation breakdown CESM2-CAM6-1 o : 17,000 years CESM2-WACCM6-1 o : 5,000 years Ozone, oxidants, volcanic/strat. aerosols, nitrogen deposition WACCM (fixed SSTs) CAM (coupled) CAM/MAM4: 20+ sypd (1 o, 32L) WACCM: 6 sypd (1 o,70l, 228 sp.) WACCM (fixed SSTs) CAM (coupled) BGC spinup Land only BGC spinup Ocean only 500 years 200 years 13
14 CESM2 Regional refinement Regional-refinement in CAM6 (AMIP) with the Spectral Element (SE) and MPAS dynamical cores (effort led by A. Gettelman and C. Zarzycki) Precipitable water Sept 23-Oct 3, 111 km -> 14 km Slide from C. Zarzycki 14
15 Questions? Comments? Movie from M. Long and T. Scheitlin 15
16 Internal variability and ensemble Slide from C. Deser 16
17 Internal variability and ensemble Slide from C. Deser 17
18 Some numbers on CESM 0.25 o, 1 o and 2 o resolutions 30 minute time step (for 1 o and 2 o ) 32 atmosphere levels (70 for WACCM) 60 ocean levels (0.1 o or 1 o ) 25 ground layers ~5 million grid boxes at 1 o resolution >1.5 million lines of computer code Data archived (monthly, daily, hourly) for hundreds of geophysical fields Utilized by hundreds of scientists all around the world 18
19 CESM2: Comparison to CESM1 LENS Nino3.4 SST Power Spectrum Too early to say whether there are improvements over LENS (need another 500 years) Slice from C. Deser 19
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