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ICTP Ocean Modelling Summer School Lab CVMix Vertical Mixing Library CVMix Team: M. Levy 1 , G. Danabasoglu 1 , S. Griffies 2 , T. Ringler 3 , A. Adcroft 2 , R. Hallberg 2 , D. Jacobsen 3 , and W. Large 1 1 National Center for Atmospheric Research


  1. ICTP Ocean Modelling Summer School Lab CVMix Vertical Mixing Library CVMix Team: M. Levy 1 , G. Danabasoglu 1 , S. Griffies 2 , T. Ringler 3 , A. Adcroft 2 , R. Hallberg 2 , D. Jacobsen 3 , and W. Large 1 1 National Center for Atmospheric Research 2 Geophysical Fluid Dynamics Laboratory 3 Los Alamos National Laboratory ICTP Summer School Ankara, Turkey September 28 - Oct 1, 2015 M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 1 / 45

  2. Outline Community Earth System Model (CESM) 1 About the Model Brief Introduction to Running CESM The Community Vertical Mixing Project 2 Overview Mixing in Ocean Models Mixing Parameterizations Supported in CVMix Stand-alone CVMix Tests Idealized KPP Test Lab Exercises 3 More CESM Setup Details (with bonus argo tips) Visualization Tips Basic Global Exercises (#1 and #2) Basic 1D Exercises (#3, #4, and #5) Optional Stand-Alone CVMix Exercises References 4 M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 2 / 45

  3. Community Earth System Model (CESM) M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 3 / 45

  4. Community Earth System Model About A flexible global climate model Couples atmosphere, ocean, land, and sea ice components. CESM 1.2 was released in June 2013 (CESM 1.2.2 in June 2014) CESM 2.0 will be available in June 2016 (I think) NCAR’s coupler + community’s component models; lots of component development done at NCAR as well How flexible? Active components: CAM [atmosphere], POP [ocean], CLM [land], CICE [sea ice] Provides data models (for example - force POP with atmospheric data instead of an active model) Also provides “stub” models (for example, running CLM with data atmosphere does not require any ocean or sea ice forcing) M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 4 / 45

  5. Running CESM Four commands to run CESM on a supported machine Run the following from $CESMROOT/scripts : (1) ./create newcase -case $CASEDIR/$CASENAME -compset $COMPSET -res $RESOLUTION -mach $MACHINE Run the following from $CASEDIR : (2) ./cesm setup (3) ./$CASENAME.build (4) ./$CASENAME.submit What will this run? The default setup is a 5-day simulation; output will depend on the components selected. M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 5 / 45

  6. More Information Coming up Later in this talk, I will talk about setting up a couple of ocean-only runs on argo I’ll point you to $CESMROOT I’ll tell you that ocean is the only active component in a “C” compset (data atmosphere and sea ice, stub land) For general information, see http://www.cesm.ucar.edu/models/cesm1.2/ But first... ... Let’s talk about vertical mixing and CVMix M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 6 / 45

  7. The Community Vertical Mixing Project M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 7 / 45

  8. Why is Vertical Mixing Important to Ocean Models? http://weather.unisys.com/archive/sst/sst-131229.gif (Dec 29, 2013) Basics Sea surface temperature (SST) has a major role in atmosphere ↔ ocean energy exchange Vertical mixing is one of many processes affecting SST Occurs on scales that are not resolved by current ocean models, need to use parameterization instead Other physical quantities (tracers, salinity, etc) also affected by mixing M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 8 / 45

  9. Mixing in Ocean Models Current state Numerous techniques for parameterizing the mixing process Model developers choose their favorite parameterization(s) and code them up as part of the ocean model CVMix project Our goal: produce an easy-to-use library containing a range of parameterizations Secondary goal: provide a stand-alone driver to test the library on its own Note: we use the term “stand-alone driver” a bit loosely. CVMix can compute single-column diffusivities given proper input, but lacks the capability to see how diffusivities change over time. M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 9 / 45

  10. Why CVMix? Driving force CESM Workshop (Breckenridge) 2012: MPAS-O (ocean model from LANL) did not have a KPP module yet and MOM5 (from GFDL) was using an outdated implementation – lab wanted to improve on for MOM6. CVMix is now used in development of MPAS-O and MOM6, and will [eventually] replace the mixing modules in POP. Other benefits Reduce duplicate code – for example, static mixing occurs as a step in 1 many parameterizations CSEG is working to include non-POP / non-data ocean models in 2 CESM Vertical mixing library allows [some] physics to stay the same even if dynamics change Allow more detailed model inter-comparisons M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 10 / 45

  11. The CVMix Mission CVMix will... Provide a transparent, robust, flexible, well documented, open source library for use in parameterizing ocean vertical mixing processes. Contain a consensus of first-order closures that return a vertical diffusivity, viscosity, and possibly a non-local transport. Be comprised of Fortran modules that may be used in a stand-alone manner or incorporated into ocean models. Be developed within a community of scientists and engineers who make use of CVMix modules for a variety of research needs. CVMix modules will be freely distributed under GPLv2 using an open source methodology. M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 11 / 45

  12. Vertical Mixing Overview z = η ( x , y , t ) kw=1 dzw(kw=1) dzt(kt=1) Divide column into nlevs levels kt=1 kw=2 dzw(kw=2) Data on cell centers and interfaces z dzt(kt=2) kt=2 zt(kt=3) zw(kw=4) Center index kt = 1 . . . nlevs kw=3 dzw(kw=3) kt,kw Interface index kw = 1 . . . nlevs+1 kt=3 dzt(kt=3) zw(kw=nlevs+1) Depth z kw=4 η at surface dzw(kw=4) 0 at average sea level dzt(kt=4) kt=4 − H ( x , y ) at bottom (positive up!) dzw(kw=5) kw=5 z = − H ( x , y ) What does a vertical mixing parameterization look like? Inputs: combination of parameters and physical values in column Outputs: viscosity ( ν ) and tracer diffusivity ( κ ) coefficients on cell interfaces M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 12 / 45

  13. [Some] Mixing Parameterizations Static background mixing 1 Constant mixing (Ekman, 1905) Bryan-Lewis (1979) Henyey et al. (1986) Tidal mixing 2 Simmons et al. (2004) Polzin (2009) / Melet et al. (2013) Shear-induced mixing (“Richardson number mixing”) 3 Pacanowski and Philander (1981) Large et al. (1994), henceforth LMD94 Jackson et al. (2008) Double diffusion mixing (Schmitt, 1994 / LMD94 / Danabasoglu et 4 al., 2006) K-profile parameterization (“KPP”; LMD94) 5 Convective adjustment (density based as well as Brunt-V¨ ais¨ al¨ a) 6 Blue indicates method is already in package. M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 13 / 45

  14. More Parameterizations on the Way Various stages of progress Langmuir (surface wave) mixing – brought in to KPP by group at Brown University, currently in testing KPP bottom surface layer – mentioned by Enrique in a couple of conversations, maybe on a to-do list? Your favorite scheme here – this is a community model! M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 14 / 45

  15. Bryan-Lewis Profile Want diffusivity to increase towards bottom of ocean (mimic tidal mixing). At right: diffusivity profile of two columns representing columns in different latitudes. Diffusivity and viscosity depend on depth c 0 + c 1 � � π tan − 1 κ = c 2 (( − z ) − c 3 ) ν = Pr κ M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 15 / 45

  16. Tidal Mixing Tidal Energy Flux Map Diffusivity North of Madagascar Diffusivity depends on tidal energy flux, depth, density, and buoyancy q Γ E ( x , y ) F ( x , y , z ) κ = ρ N 2 e − z /ζ F ( x , y , z ) = ζ ( e H ( x , y ) /ζ − e − η ( x , y ) /ζ ) M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 16 / 45

  17. Shear Mixing Want diffusivity to decrease as Richardson number (Ri) increases; κ = 0 if Ri ≥ Ri 0 = 0 . 7. At right: The stand-alone driver produces the shear mixing diffusivity profile plot from Fig. 3 of LMD94. Diffusivity and viscosity depend on Richardson number  κ 0 Ri ≤ 0  κ 0 [1 − (Ri / Ri 0 ) p 1 ] p 2 κ = 0 < Ri < Ri 0 0 Ri ≥ Ri 0  ν = Pr κ M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 17 / 45

  18. Double Diffusion Mixing Two regimes Determine which regime we are in via stratification parameter R ρ = α � ∂ Θ /∂ z � , β ∂ S /∂ z where α is the thermal expansion coefficient and β is the haline contraction coefficient: Salt Fingering ( ∂ S /∂ z > 0 and 1 < R ρ < R 0 ρ ); salt water above 1 fresher water ⇒ salt water will sink Diffusive Convective Instability ( ∂ Θ /∂ z < 0 and 0 < R ρ < 1); cold 2 water above warm water ⇒ cold water will sink And that’s not all... Double diffusion also introduces idea of different diffusivity for temperature and salinity ( κ Θ and κ S , respectively). M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 18 / 45

  19. Double Diffusion Mixing Diffusivity profiles for the two regimes (Fig. 4 in LMD94). Salt-fingering regime Diffusive convective regime � p 1 � p 2 � � � � 1 − R ρ �� R ρ − 1 κ Θ = ν mol · c 1 exp c 2 exp c 3 κ S = κ 0 1 − R ρ R 0 ρ − 1 κ Θ = 0 . 7 κ S κ S = max(0 . 15R ρ , 1 . 85R ρ − 0 . 85) κ Θ M. Levy (mlevy@ucar.edu) CVMix Lab Sept 29/30, 2015 19 / 45

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