Multiscale

Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System

MULTISCALE Publications & Presentations

MULTISCALE PUBLICATIONS

Published/Accepted/ In Press

  1. Bond, T., S. J. Doherty, D. W. Fahey, P. M. Forster, T. Berntsen, O. Boucher , B. DeAngelo, M. G. Flanner , Ghan , B. Kärcher , D. Koch , S. Kinne, Y. Kondo, P. K. Quinn, M. C. Sarofim, M. G. Schultz, M. Schulz , C. Venkataraman, H. Zhang, S. Zhang, N. Bellouin, S. Guttikunda, P. K. Hopke, M. Z. Jacobson, J. W. Kaiser, Z. Klimont, U. Lohmann, J. P. Schwarz, D. Shindell, T. Storelvmo, S. G. Warren, and C. Zender (2013): “Bounding the role of black carbon aerosol in the climate system: A scientific assessment.” J. Geophys. Res., 118, 1-173, doi:10.1002/jgrd.50171.
  2. Boyle, J. S., S. A. Klein, D. Lucas, H.-Y. Ma, J. Tannahill, S. Xie (2015): “The parametric sensitivity of CAM5’s MJO,” J. Geophys. Res. 120.4 (2015): 1424-1444. doi:10.1002/2014JD022507.
  3. Carpenter, I., Archibald, K.J. Evans, J. Larkin, P. Micikevicius, M. Norman, M.A. Taylor, et al. (2013): “Progress towards accelerating HOMME on hybrid multi-core systems.” Int. J. High Perf. Comp. Appl, August 2013 vol. 27 no. 3 335-347. doi:10.1177/1094342012462751.
  4. Chen, Q., Ringler, M. Gunzburger, “A co-volume scheme for the rotating shallow water equations on conforming non-orthogonal grids.” Journal of Computational Physics, 240, 174‑197, 2013. doi:10.1016/j.jcp.2013.01.003.
  5. Chen, Q., Ringler, P.R. Gent, “Extending a potential vorticity transport eddy closure to include a spatially-varying coefficient.” Computers & Mathematics with Applications, 71(11), 2206-2217, 2016. doi:10.1016/j.camwa.2015.12.041.
  6. Chowdhary, K., Salloum, B. Debusschere, V. E. Larson (2015): “Quadrature methods for the calculation of subgrid microphysics moments.” Monthly Weather Review, 143, 2955-2972, doi:10.1175/MWR-D-14-00168.1.
  7. Danilov, S., Ringler, Q. Wang, “Large-scale ocean modelling on unstructured meshes.” CLIVAR Exchanges, 19(65), 46-48, 2014. epic.awi.de/35926/1/clivar_unstructured.pdf.
  8. Duarte, M., A.S. Almgren, K. Balakrishnan, J.B. Bell, M. Romps (2014): “A numerical study of methods for moist atmospheric flows: compressible equations,” Monthly Weather Review 142.11 (2014): 4269-4283, doi:10.1175/MWR-D-13-00368.1.
  9. Fan, J. Y.-C. Liu, K.-M. Xu, K. North, S. Collis, X. Dong, J. Zhang, Q. Chen, P. Kollias, S. Ghan (2015): “Improving representation of convective transport for scale-aware parameterization: 1. Convective and cloud properties simulated with spectral bin and bulk microphysics,” J. Geophys. Res. Atmos., 120, 3485 –3509, doi:10.1002/2014JD022142.
  10. Ferguson, J. O., Jablonowski, H. Johansen, P. McCorquodale, P. Colella, P. A. Ullrich (2016): “Analyzing the Adaptive Mesh Refinement (AMR) characteristics of a high-order 2D cubed-sphere shallow-water model.” Monthly Weather Review 144.12 (2016): 4641-4666, doi:10.1175/MWR-D-16-0197.1.
  11. Gettelman, A., H. Morrison, S. Santos, P. Bogenschutz and H. Caldwell (2015): “Advanced Two-Moment Microphysics for Global Models. Part II: Global model solutions and Aerosol-Cloud Interactions.” J. Climate 28(3):1268-87. doi:10.1175/JCLI-D-14-00103.1.
  12. Graham, J.P., Ringler, “A framework for the evaluation of turbulence closures used in mesoscale ocean large-eddy simulations.” Ocean Modelling, 65, 25-39, 2013, (diagnosing eddy-mean flow interaction). doi.org/10.1016/j.ocemod.2013.01.004.
  13. Griffin, B.M., E. Larson (2016): “A new subgrid-scale representation of hydrometeor fields using a multivariate PDF.” Geoscientific Model Development 9, no. 6 (2016): 2031. doi:10.5194/gmd-9-2031-2016.
  14. Griffin, B.M., E. Larson. “Parameterizing microphysical effects on variances and covariances of moisture and heat content using a multivariate probability density function: A study with CLUBB.” Geosci. Model Dev., 9, 4273–4295, 2016. doi:10.5194/gmd-9-4273-2016.
  15. Gross, M., Wan, P.J. Rasch, P.M. Caldwell, D.L. Williamson, D. Klocke, C. Jablonowski, D.R. Thatcher, N. Wood, M. Cullen, B. Beare, M. Willett, F. Lemarié, E. Blayo, S. Malardel, P. Termonia, A. Gassmann, P.H. Lauritzen, H. Johansen, C.M. Zarzycki, K. Sakaguchi, R. Leung (2016): “Recent progress and review of Physics Dynamics Coupling in geophysical models.”arXiv preprint arXiv:1605.06480 [physics.ao-ph].
  16. Guba, O., A. Taylor, P. Ullrich, J.R. Overfelt, M.N. Levy (2014): “The spectral element method on variable resolution grids: Evaluating grid sensitivity and resolution-aware numerical viscosity”, Geosci. Model Dev., 7 No. 3: 4081–4117. doi:10.5194/gmdd-7-4081-2014.
  17. Guo, Z., Wang, Y. Qian, V. E. Larson, S. Ghan, M. Ovchinnikov, P. Bogenchutz, A. Gettelman, T. Zhou (2015): “Parametric behaviors of CLUBB in simulation of low clouds in the Community Atmosphere Model CAM5.” J. Adv. Model. Earth Sys 7.3 (2015): 1005-1025, doi:10.1002/2014MS000405.
  18. Guo, Z., Wang, Y. Qian, V. Larson, S. Ghan, M. Ovchinnikov, P. Bogenschutz, C. Zhao, G. Lin, and T. Zhou (2014): “A sensitivity study of cloud properties to CLUBB parameters in the single column Community Atmosphere Model (SCAM5),” J. Adv. Model. Earth Sys., 6.3 (2014): 829-858, doi:10.1002/2014MS000315.
  19. Huang, X., A. M. Rhoades, A. Ullrich, and C. M. Zarzycki (2016): “An evaluation of the variable-resolution-CESM for modeling California’s climate,” J. Adv. Model. Earth Syst., 8, 2016: 345-369, doi:10.1002/2015MS000559.
  20. Jeevanjee, N., M. Romps (2015): “Effective buoyancy at the surface and aloft,” Quarterly Journal of the Royal Meteorological Society 2015 Nov 1.142:793-804. doi:10.1002/qj.2683.
  21. Jia, J., J. C. Hill, J. Evans, G. I. Fann, M.A. Taylor (2013): “A Spectral Deferred Correction Method Applied to the Shallow Water Equations on a Sphere.” Mon. Wea. Rev., 141, 3435–3449. doi:10.1175/MWR-D-12-00048.1.
  22. Kay, J.E., C. Wall, V. Yettella, B. Medeiros, C. Hannay, Caldwell, C. Bitz (2016): “Global Climate Impacts of Fixing the Southern Ocean Shortwave Radiation Bias in the Community Earth System Model (CESM)” Journal of Climate 2016 29:12, 4617-4636. doi:10.1175/JCLI-D-15-0358.1.
  23. Keyes, D.E., L.C. McInnes, C. Woodward, W. Gropp, E. Myra, M. Pernice, J. Bell, J. Brown, A. Clo, J. Connors, E. Constantinescu, D. Estep, Evans, C. Farhat, A. Hakim, G. Hammond, G. Hansen, J. Hill, T. Isaac, X. Jiao, K. Jordan, D. Kaushik, E. Kaxiras, A. Koniges, K. Lee, A. Lott, Q. Lu, J. Magerlein, R. Maxwell, M. McCourt, M. Mehl, R. Pawlowski, A.P. Randles, D. Reynolds, B. Rivière, U. Rüde, T. Scheibe, J. Shadid, B. Sheehan, M. Shephard, A. Siegel, B. Smith, X. Tang, C. Wilson, B. Wohlmuth (2013): “Multiphysics Simulations: Challenges and Opportunities.” Int. J. High Perf. Comp. Appl., 27:4-83. doi:10.1177/1094342012468181.
  24. Langhans, W., M. Romps (2015): “The origin of water vapor rings in tropical oceanic cold pools.” Geophysical Research Letters. 42(18), pp.7825-7834 doi:10.1002/2015GL065623.
  25. Langhans, W., K. Yeo, M. Romps (2015): “Lagrangian investigation of the precipitation efficiency of convective clouds.” Journal of the Atmospheric Sciences 72, no. 3 (2015): 1045-1062. doi:10.175/JAS-D-14-0159.1.
  26. Lebassi-Habtezion B, P.M. Caldwell (2014): “Aerosol specification in single-column Community Atmosphere Model version 5 (CAM5),” Geoscientific Model Development. 2015 Mar 27;8(3):817-28. doi:5194/gmd-8-817-2015.
  27. Lin, G., K. Zhang, H. Wan, Y. Qian, S. Ghan (2016): “Can nudging be used to quantify model sensitivities in precipitation and cloud forcing?.” Journal of Advances in Modeling Earth Systems 8 (2016): 1073–1091 (2016).doi:1002/2016MS000659.
  28. Liu, Y.-C., J. Fan, G. J. Zhang, K.-M. Xu, Ghan (2015): “Improving representation of convective transport for scale-aware parameterization: 2. Analysis of cloud-resolving model simulations.” J. Geophys. Res. Atmos., 120, 3510-3532, doi:10.1002/2014JD022145.
  29. Long, M.S., W.C. Keene, C. Easter, R. Sander, A. Kerkweg, D. Erickson, X. Liu, and S. J. Ghan (2013): “Implementation of the chemistry module MECCA (v2.5) in the modal aerosol version of the Community Atmosphere Model component (v3.6.33) of the Community Earth System Model.” Geosci. Mod. Develop, 6, 255-262, doi:10.5194/gmd-6-255-2013.
  30. Lott, P.A., C.S. Woodward, K.J. Evans (2014): “Algorithmically scalable block preconditioner for fully implicit shallow water equations in CAM-SE.” Geosci. (2015) 19: 49 doi:10.1007/s10596-014-9447-6
  31. Lucas, D. D., Klein, J. Tannahill, D. Ivanova, S. Brandon, D. Domyancic, and Y. Zhang (2013): “Failure analysis of parameter-induced simulation crashes in climate models.” Geosci. Mod. Dev., 6, 1157-1171, doi:10.5194/gmd-6-1157-2013.
  32. McCorquodale, P., Ullrich, H. Johansen, P. Colella (2015): “An adaptive multiblock high-order finite-volume method for solving the shallow-water equations on the sphere,” Communications in Applied Mathematics and Computational Science (CAMCoS) Vol. 10, No. 2, 121-162, doi:10.2140/camcos.2015.10.121.
  33. Mundt, M.R., M.B. Boslough, A. Taylor, E.L. Roesler (2015): “A Modification to the Remapping of Gauss-Lobatto Nodes to the Cubed Sphere,” Sandia National Laboratories 2015CCR (Center for Computing Research) Summer Proceedings, Albuquerque, NM (A.M. Bradley and M.L. Parks, eds.), Technical Report SAND2016-0830R, Sandia National Laboratories, 2015, pp. 145–158.
  34. Myhre, G., B.H. Samset, M. Schulz, Y. Balkanski, S. Bauer, T.K. Berntsen, H. Bian, N. Bellouin, M. Chin, T. Diehl, C. Easter, J. Feichter, S. J. Ghan, D. Hauglustaine, T.Iversen, S. Kinne, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, M.T. Lund, G. Luo, X. Ma, T. van Noije, J.E. Penner, P. J. Rasch, A. Ruiz, Ø. Seland, R.B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, P. Wang, Z. Wang, L. Xu, H. Yu, F. Yu, J.-H. Yoon, K. Zhang, H. Zhang, C. Zhou (2013): “Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations.” Atmos. Chem. Phys., 13, 1853-1877, doi:10.5194/acp-13-1853-2013.
  35. Norman, M.R., J. Larkin, A. Vose, J. Evans (2015): “A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel.” Journal of computational science 9:1-6.
  36. Ovchinnikov, M, K-S Lim, V. E. Larson, M. Wong, Thayer-Calder, S. J. Ghan (2016): “Vertical overlap of probability density functions of cloud and precipitation hydrometeors,” J. Geophys. Res. 121.21 (2016)., doi: 10.1002/2016JD025158 (PNNL‑SA‑117128).
  37. Raut, E., E. Larson (2015): “A Flexible Importance Sampling Method for Integrating Subgrid Processes,” Geosci. Model Dev. Discuss. 2015 Oct 1;8(10). doi:10.5194/gmdd-8-9147-2015.
  38. Rhoades A.M., X. Huang X, P.A. Ullrich, Zarzycki CM. (2016): “Characterizing Sierra Nevada Snowpack Using Variable-Resolution.” CESM. Journal of Applied Meteorology and Climatology. 2016 Jan;55(1):173-96. doi:1175/JAMC-D-15-0156.1.
  39. Ringler, T., Saenz, P. Wolfram, L. Van Roekel (2017): “A thickness-weighted perspective of force-balance in an idealized circumpolar channel.” Journal of Physical Oceanography, 47.2 (2017): 285-302. doi:10.1175/JPO-D-16-0096.1.
  40. Romps, D.M. (2016): “Clausius-Clapeyron scaling of CAPE from analytical solutions to RCE.” Journal of the Atmospheric Sciences, 9 (2016): 3719-3737 doi:10.1175/JAS-D-15-0327.1.
  41. Romps, M. (2016). “The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection,” J. Adv. Model. Earth Syst., 8.1 (2016): 319-344, doi:10.1002/2015MS000537.
  42. Romps, D. M. (2015): “MSE minus CAPE is the true conserved variable for an adiabatically lifted parcel.” Journal of the Atmospheric Sciences, 72(9), 3639-3646. doi: 1175/JAS-D-15-0054.1.
  43. Romps, D.M. (2014): “An analytical model for tropical relative humidity,” Journal of Climate, vol. 27, no. 19, 7432–7449. doi:1175/JCLI-D-14-00255.1.
  44. Romps, D.M., J.T. Seeley, Vollaro, J. Molinari (2014): “Projected increase in lightning strikes in the United States due to global warming,” Science, 346.6211 (2014): 851-854. doi: 10.1126/science.1259100
  45. Saenz, J.A., Chen, T. Ringler (2015): “Prognostic residual-mean flow in an ocean general circulation model and its relation to prognostic Eulerian-mean flow.” Journal of Physical Oceanography. 45.9 (2015): 2247-2260. doi: 10.1175/JPO-D-15-0024.1.
  46. Samset, B. H., G. Myhre, M. Schulz, Y. Balkanski, S. Bauer, T. K. Berntsen, H. Bian, N. Bellouin, T. Diehl, C. Easter, S. J. Ghan, T. Iversen, S. Kinne, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, J. Penner, Ø. Seland, R.B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, and K. Zhang (2013): “Black carbon vertical profiles strongly affect its radiative forcing uncertainty.” Atmos. Chem. Phys, 13, 2423-2434, doi:10.5194/acp-13-2423-2013.
  47. Storer, R., B. Griffin, J. Höft, J. Weber, E. Raut, Larson, M. Wang, P. Rasch (2015): “Parameterizing deep convection using the assumed probability density function method,” Geoscientific Model Development, 8, 1–19, 2015. doi:10.5194/gmd-8-1-2015.
  48. Suhas, E., J. Zhang (2015): “Evaluating convective parameterization closures using cloud-resolving model simulation of tropical deep convection,” J. Geophys. Res. Atmos., 120, doi:10.1002/2014JD022246.
  49. Suhas, E., and J. Zhang (2014): “Evaluation of trigger functions for convective parameterization schemes using observations.” J. Climate, Volume 27, Issue 20 doi:10.1175/JCLI-D-13-00718.1.
  50. Thayer-Calder, K., A. Gettelman, C. Craig, S. Goldhaber, P.A. Bogenschutz, C.-C. Chen, H. Morrison, J. Höft, E. Raut, B.M. Griffin, J.K. Weber, E. Larson, M.C. Wyant, M. Wang, Z. Guo, S.J. Ghan (2015): “A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model,” Geosci. Model Dev. 8, 3801–3821, doi:10.5194/gmd-8-3801-2015
  51. Ullrich, P.A., Devendran, H. Johansen (2016): “Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps, Part 2.” Mon. Weather Rev. 144.4 (2016): 1529-1549 doi:10.1175/MWR-D-15-0301.1.
  52. Ullrich, P.A., M.A. Taylor (2015): “Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps, Part 1”, Wea. Rev. 143, 2419–2440. doi:10.1175/MWR-D-14-00343.1.
  53. Wan, H.,J. Rasch, K. Zhang, Y. Qian, H. Yan, C. Zhao, (2014). “Short ensembles: An efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models”, Geoscientific Model Development, 7(5), 1961-1977. doi:10.5194/gmd-7-1961-2014.
  54. Wan, H., K. Zhang, P. J. Rasch, Singh, X. Chen, J. Edwards (2017). “A new and inexpensive non- bit-for-bit solution reproducibility test based on time step convergence (TSC1.0)”, Geoscientific Model Development, 10 (2), 537–552, doi:10.5194/gmd-10-537-2017.
  55. Wan, H., P.J. Rasch, M.A. Taylor, C. Jablonowski (2015): “Short-term time step convergence in a climate model,” Adv. Model. Earth Syst., 7, 215–225, doi:10.1002/2014MS000368.
  56. Wan, H., P. J. Rasch, K. Zhang, Y. Qian, Yan, and C. Zhao (2014): “An efficient method for discerning climate-relevant sensitivities in atmospheric general circulation models,” Geosci. Model Dev. Discuss., 7, 2173-2216, doi:10.5194/gmdd-7-2173-2014.
  57. Wan, H., J. Rasch, K. Zhang, J. Kazil, and L. R. Leung (2013): “Numerical issues associated with compensating and competing processes in climate models: An example from ECHAM-HAM.” Geosci. Model Dev., 6, 861–874. doi:10.5194/gmdd-6-685-2013.
  58. Zarzycki, C.M., C. Jablonowski, D.R. Thatcher, A. Taylor (2015): “Effects of localized grid refinement on the general circulation and climatology in the Community Atmosphere Model,” J. Clim. 28, No.7: 2777–2803. doi:10.1175/JCLI-D-14-00599.1.
  59. Zarzycki, C.M., M.N. Levy, J.R. Overfelt, A. Taylor, C. Jablonowski (2014): “Aquaplanet Experiments Using CAM’s Variable Resolution Dynamical Core”, J. Climate, 27, 5481–5503. doi:10.1175/JCLI-D-14-00004.1.
  60. Zarzycki, C. M., Jablonowski, C., & A. Taylor (2014): “Using Variable Resolution Meshes to Model Tropical Cyclones in the Community Atmosphere Model.” Monthly Weather Review, 142.3 (2014): 1221-1239. doi:10.1175/MWR-D-13-00179.1
  61. Zhang, G.J., J. Fan,-M. Xu (2015): Comments on “A unified representation of deep moist convection in numerical modeling of the atmosphere. Part I”. J. Atmos. Sci., 72, 2562-2565. doi:10.1175/JAS-D-14-0246.1
  62. Zhang, K., C. Zhao, H. Wan, Y. Qian, R. C. Easter, S. J. Ghan, K. Sakaguchi, and Liu (2015): “Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5,” Geosci. Model Dev. Discuss., 8, 7249-7312, doi:10.5194/gmdd-8-7249-2015.
  63. Zhang, K., H. Wan, X. Liu, S. J. Ghan, G. J. Kooperman, P.-L. Ma, and P. J. Rasch (2014): “On the use of nudging for aerosol-climate model intercomparison studies”, Atmos. Chem. Phys., 14, 8631-8645, doi:10.5194/acp-14-8631-2014

 

Awards/Recognition

  1. Anantharaj, V., R. Archibald, K Evans, co-authors. Best Paper Finalist, 2012, Cray User’s Group 2012, Stuttgart Germany, for “Porting the Community Atmosphere Model – Spectral Element Code to utilize GPU accelerators.”

 

Copyright

  1. Maher Salloum, Kenny Chowdhary, Bert Debusschere, “ForQint v. 1.0”. Fortran library for quadrature integration released as open source under Lesser General Public License (LGPL), 7/31/2014.

 

Conference Proceedings

  1. Archibald, R., K. J. Evans, A. Salinger. “Accelerating Time Integration for Climate Modeling Using GPUs.” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p2035-2044. doi:10.1016/j.procs.2015.05.470.
  2. Archibald, R., E. Constantinescu, K. Evans, H. Finkel, T. Haut, B. Norris, M. Norman, A. Sandu, M. Stoyanov, M. Tokkman, B. Wingate, Y. Xing (2013). “Resilient, Communication-Reducing, and Adaptive Time Stepping to Accelerate Exascale Scientific Applications.” DOE Applied Mathematics Research for Exascale Computing WG Workshop, Washington DC., August 21-22, 2013. Workshop report.
  3. Barnes, T., B. Cook, J. Deslippe, D. Doerfler, B. Friesen, Y. He, T. Kurth, T. Koskela, M. Lobet, T. Malas, L. Oliker, A. Ovsyannikov, A. Sarje, J.-L. Vay, H. Vincenti, S. Williams, P. Carrier, N. Wichmann, M. Wagner, P. Kent, C. Kerr, J. Dennis, “Evaluating and Optimizing the NERSC Workload on Knights Landing”, Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), Salt Lake City, UT, November 2016.
  4. Collins, W.D., K. J. Evans, H. Johansen, C. Woodward, P. Caldwell (2015). “Progress in Fast, Accurate Multi-scale Climate Simulations” (invited). Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p1995-2004. doi:10.1016/j.procs.2015.05.465.
  5. Norman, M., J. Larkin, R. Archibald, I. Carpenter, V. Anantharaj, P. Micikevicus, K. Evans (2012). Porting the Community Atmosphere Model – Spectral Element Code to Utilize GPU Accelerators Proceedings of the Cray Users Group, Stuttgart, Germany.
  6. Lelbach, B.A., Johansen, S.W. Williams, “Solving Large Quantities of Small Matrix Problems on Cache-Coherent Many-Core SIMD Architectures”, Parallel and Distributed Scientific and Engineering Computing (PDSEC), Orlando, FL, June 2017.
  7. Leveque, R. … K. Evans, et al. Reproducibility in Computational and Experimental Mathematics: Workshop Report, Sponsored by the Institute for Computational and Experimental Research in Mathematics, Dec 10–14, 2012, Brown University, Providence, RI.
  8. Lott, P.A., C. Elman, K. J. Evans, X. S. Li, A. G. Salinger, C. S. Woodward (2011). Recent Progress in Nonlinear and Linear Solvers. in Proc. SciDAC 2011, Denver, CO, July 10-14, 2011, http://press.mcs.anl.gov/scidac2011/.
  9. Mundt, M., M. Boslough, M. Taylor, E. Roesler (2015). “A modification to the remapping of Gauss-Lobatto nodes to the cubed sphere,” to appear in the Sandia National Laboratories 2015CCR (Center for Computing Research) Summer Proceedings.
  10. Norman, M., J. Larkin, Archibald, I. Carpenter, V. Anantharaj, P. Micikevicus, K. Evans (2012). “Porting the Community Atmosphere Model – Spectral Element Code to Utilize GPU Accelerators,” Proceedings of the Cray Users Group, Stuttgart, Germany, April 29 – May 3, 2012.
  11. Sarje, A., D.W. Jacobsen, S.W. Williams, T. Ringler, L. Oliker, “Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers,” Cray Users Group, London, England, May 8-12, 2016.
    https://cug.org/proceedings/cug2016_proceedings/includes/files/pap156-file2.pdf.
  12. Sarje, A., Song, D. Jacobsen, K. Huck, J. Hollingsworth, A. Malony, S. Williams, L. Oliker, “Parallel Performance Optimizations on Unstructured Mesh-Based Simulations.” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS) Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p2005-2014. doi:10.1016/j.procs.2015.05.466.
  13. Stodden, V., D.H. Bailey, J. Borwein, R.J. LeVeque, W. Rider, W. Stein, K. Evans, et al. “Setting the Default to Reproducible: Reproducibility in Computational and Experimental Mathematics,” Institute for Computational and Experimental Research in Mathematics, Brown University, Providence, RI, Dec 10–14, 2012. Workshop Report.
  14. Ullrich, P., J. Guerra. “Exploring the Effects of a High-Order Vertical Coordinate in a Non-Hydrostatic Global Model.” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p. 2065-2074.
  15. Woodward, C., D. Gardner, K.J. Evans. “On the Use of Finite Difference Matrix-Vector Products in Newton-Krylov Solvers for Implicit Climate Dynamics with Spectral Elements,” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p2025-2034. doi:10.1016/j.procs.2015.05.468.

 

Invited Talks and Conference Leadership

  1. Archibald, R., K. J. Evans, Salinger. “Accelerating Time Integration for Climate Modeling Using GPUs” (invited). Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Conference Proceedings: Procedia Computer Science Volume 51, 2015, p2035-2044. Reykjavik, Iceland. June 1-3, 2015. doi:10.1016/j.procs.2015.05.470.
  2. Archibald, R.K., 2013: “Accelerating the Community Atmosphere Model – Spectral Element Method: The Challenges, the Science, and the Future Direction,” (invited) Titan Users and Developers Workshop (East Coast) User Meeting, Knoxville, TN, Feb 19-12, 2013.
  3. Archibald, R.K., “The Path to Accelerating the Community Atmospheric Model – Spectral Element Dynamical Core on Hybrid Multi-Core Systems,” (invited) KIAPS International Symposium on Global NWP System Modeling, Seoul, Korea, November 12-15, 2012.
  4. Caldwell, P., “Introduction to Process Coupling”, keynote address at the Dynamical Core Model Intercomparison Project (DCMIP) summer school, Boulder, CO June 6, 2016.
  5. Caldwell, P., “Resolution Sensitivity of Physical Parameterizations”, the Dynamical Core Model Intercomparison Project (DCMIP) summer school (invited), Boulder CO, June 6, 2016.
  6. Collins, W.D., K. J. Evans, H. Johansen, C. Woodward, P. Caldwell (2015). “Progress in Fast, Accurate Multi-scale Climate Simulations” (invited, keynote). Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM) session, International Conference on Computational Science (ICCS), Conference Proceedings: Procedia Computer Science Volume 51, 2015, p1995-2004. doi:10.1016/j.procs.2015.05.465. Reykjavik, Iceland. June 1-3, 2015.
  7. Collins, W., K. Chowdhary, B. Debusschere, D. Lucas, “The Central Role of Uncertainty Quantification in Multiscale Earth System Models” (GC34C-02), (invited) AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
  8. Evans, K.J., “Advancing Cross-Cutting Ideas for Computational Climate Science,” SIAM Conference on Computational Science and Engineering (mini-symposium co-organizer), Atlanta, GA, Feb 27–Mar 2, 2017.
  9. Evans, K.J., “Look aloft: Using next generation HPC to advance our understanding of climate change at multiple scales,” Research on Changes of Variability and Environmental Risk (ReCoVER) (keynote speaker), Next Generation HPC architectures for studying climate variability, Exeter, England, March 20–22, 2017.
  10. Evans, K.K., R.K. Archibald, D. Gardner, C.S. Woodward, M.A. Taylor, P. Worley, “Efforts to implement and optimize nonlinear solvers within DOE’s Accelerated Climate Model for Energy (ACME)”, (invited) ICERM (Institute for Computational and Experimental Research in Mathematics) workshop on Numerical Methods for large-scale nonlinear problems and their applications, Providence, RI, Aug 30-Sept. 5, 2015.
  11. Evans, K., “Implicit time stepping methods applied within the Community Atmosphere Model,” (invited) Copper Mountain Conference on Iterative Methods. Copper, CO, April 2014.
  12. Evans, K., “Computational Strategies for simulation and analysis of high-resolution global climate modeling,” (invited) EPA Atmospheric Model and Analysis Division. Research Triangle Park, NC, Feb. 25-26, 2014.
  13. Evans, K.J. “Computational Strategies for simulation and analysis of high-resolution global climate modeling,” (invited) Stanford Computational Geophysics Department Seminar, Palo Alto, CA, Oct 7, 2013.
  14. Evans, K.J. “Recent Strategies and Challenges for Simulation and Reproducibility in Climate Modeling,” (invited, plenary speaker) Int’l Conference on Mathematics of the Planet Earth, Melbourne, Australia, July 8-12, 2013.
  15. Evans, K.J., “Computational Challenges for Next Generation Earth System Models,” (organizer) SIAM Southeastern Section Conference mini-symposium Knoxville, TN, March, 2013.
  16. Evans, K.J. “Strategies and Challenges of Reproducibility in Climate Modeling,” ICERM workshop on Reproducibility in Computational and Experimental Mathematics, Brown University, (invited) Providence, RI, Dec. 10-14, 2012.
  17. Evans, K.J., “Scalable Algorithms for Global Climate Modeling,” (invited) SAMSI Workshop on Uncertainty Quantification for High Performance Computing, Oak Ridge, TN, May 3, 2012.
  18. Gardner, D.J., C.S. Woodward, Archibald K.J. Evans (mini-symposium conveners), ”Numerical Methods for Geosciences Applications,” a minisymposium, SIAM conference on Mathematics of the Planet Earth, Philadelphia, PA Sept 29-Oct 1, 2016.
  19. Jacobsen, D., P. Jones, T. Ringler, “Can Models Built upon Unstructured Grids be Computationally Competitive on Emerging High-Performance Architectures?” (invited) Weather and Climate Prediction on Next Generation Supercomputers: Numerical and Computational Aspects, MetOffice, Exeter, UK, October 5, 2012.
  20. Jacobsen, D., T. Ringler, Petersen, P. Jones, P., and M. Maltrud, 2012: “MPAS-Ocean Performance Briefing.” (invited), SUPER Annual Meeting, ANL, Lamont, IL, September 24, 2012.
  21. Kotamarthi, V.R., D. Collins, D.J. Wuebbles, L.R. Leung, S.F. Price, “Climatology and Trends of Extreme Events in Climate Models Capable of Resolving Regional-Scale Processes I” GC31C. (conveners/session chairs) AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  22. Krueger, S.K., S. Moorthi, A. Randall, R. Pincus, P. Bogenschutz, A. Belochitski, M. Chikira, D.A. Dazlich, D.J. Swales, P.K. Thakur, F. Yang, A. Cheng, “A CPT for Improving Turbulence and Cloud Processes in the NCEP Global Models” A13L-06. (Invited), AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  23. Lott, P. A., C.S. Woodward, K.J. Evans, 2013: “Block Preconditioners for Implicit Atmospheric Climate Simulation in CAM-SE,” (invited) SIAM Conference on Computational Science and Engineering, minisymposium on Implicit Approaches for Climate Simulations, Boston, MA, Feb., 2013.
  24. Lott, P.A., C. Woodward and J. Evans, 2013: “Implicit Approaches for Climate Simulations,” (mini-symposium co-organizers), SIAM Conference on Computational Science and Engineering, minisymposium on Implicit Approaches for Climate Simulations, Boston, MA, Feb. 2013.
  25. Lucas, D.D.,A. Lloyd, J. Ray, M. Huang “Interpretation and Uncertainty in Climate, Earth System, Integrated Assessment, and Impact Models and Observations” GC34C. (session conveners) AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  26. Lucas, D.D.,A. Lloyd, J. Ray, L.O. Mearns, “Quantifying Uncertainty in Climate, Earth System, Integrated Assessment, and Impact Models and Observations I.” GC41H/GC43C (convener). AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  27. Lucas, D., “Quantifying climate model adequacy (or inadequacy): a UQ perspective,” (invited) Mathematics for Planet Earth (MPE 2013+) Workshop on Global Change, LLNL-PRES-654649, Lawrence Livermore National Lab, Livermore, CA, May 2014.
  28. Lucas, D., “Applications of machine learning to climate model UQ,” (invited) Society for Industrial and Applied Mathematics (SIAM) UQ14 Conference. LLNL-PRES-652801, Lawrence Livermore National Lab, Livermore, CA, April 2014.
  29. Muller, C.J., M. Romps, M. Guerard, “Self-Aggregation of convection, cyclogenesis and climate change” A51L-01. (Invited) AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  30. Ringler, T., “The role of eddies in the climate of the Southern Ocean,” Climate and Global Dynamics Seminar, National Center for Atmosphere Research, Boulder, Colorado, March 15, 2016.
  31. Ringler, T., “The role of eddies in the climate of the Southern Ocean,” Fluid Mechanics Seminar, Stanford University, Palo Alto, California, February 2, 2016.
  32. Ringler, T., “A multiscale approach to global ocean modeling” (invited, plenary). SIAM Geosciences, Palo Alto, California, July 1, 2015.
  33. Ringler, T.D., 2012: “A Multi-Resolution Modeling Approach to Global Climate Simulation,” (invited) Grantham Institute for Climate Change, Imperial College London, London, UK, November 21, 2012.
  34. Ringler, T.D., 2012: “Bridging Scales in Global Climate System Modeling,” (invited) Department of Physics, University of Oxford, Oxford, UK, October 18, 2012.
  35. Romps, D.M., “The physics of atmospheric instability, lightning, and global warming,” UC Berkeley Department of Physics Colloquium, Berkeley, CA, September 21, 2015.
  36. Saenz, J.A. and T. Ringler, “Exploring Ocean Eddy-Mean Flow Interactions using the Eliassen-Palm Flux Tensor”. Seminar, Center of Mixing Under Extreme Conditions, Los Alamos National Laboratory, Los Alamos, NM, June 23, 2016.
  37. Taylor, M.A., “The spectral element dynamical core in the Community Atmosphere Model,” (invited) 66th Annual Meeting of the APS Division of Fluid Dynamics, Pittsburgh, PA, November 25, 2013.
  38. Taylor, M.A., “The spectral element dynamical core in the Community Atmosphere Model,” (invited) Grantham Institute workshop on Numerical Methods for Geophysical Fluid Dynamics,” Imperial College, London, UK, Oct 8-9, 2013. (trip cancelled due to U.S. Government shutdown)
  39. Taylor, M.A., “The Spectral Finite Element Dynamical Core in The Community Atmosphere Model,” (invited) 2013 KIAPS International Symposium and Science Advisory Committee Meeting, Seoul, Korea, Oct 28-Nov 1, 2013.
  40. Taylor, M.A., “High resolution and variable resolution capabilities of the Community Atmosphere Model (CAM) with a spectral finite element dynamical core,” (invited) Climate 2013: The next-generation of climate models and knowledge discoveries through the extreme high-performance simulations and big data, LBNL, Berkeley, CA, March 2013. http://www.prime-pco.com/climate2013/index.html.
  41. Taylor, M.A., “High resolution and variable resolution capabilities of the Community Atmosphere Model (CAM) with a spectral finite element dynamical core,” (invited, keynote speaker). Weather and Climate Prediction on Next Generation Supercomputers: Numerical and Computational Aspects, UKMO, Exeter, UK, November, 2012.
  42. Ullrich, P., J. Guerra. “Exploring the Effects of a High-Order Vertical Coordinate in a Non‑Hydrostatic Global Model.” Numerical and Computational Developments to Advance Multiscale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, p. 2065-2074. doi:1016/j.procs.2015.05.475.
  43. Wan, H. and P. J. Rasch: “Physics Dynamics Coupling in Weather and Climate Models” (workshop organizers) Physics Dynamics Coupling (PDC) workshop, Richland, Washington, September 20-22, 2016.
  44. Wan, H., P.J. Rasch, M.A. Taylor, C. Jablonowski: “A Simple But Effective Method for Quantifying and Attributing Time-Stepping Errors in Climate Models” (invited). SIAM Conference on Mathematical and Computational Issues in the Geosciences, Palo Alto, CA, June 29- July 2, 2015.
  45. Wan, H., P. J. Rasch. “Numerical issues in physics parameterizations: what do short simulations and toy problems tell us about global climate models?” (keynote speaker), Workshop on “Physics Dynamics Coupling in Geophysical Models — Bridging the Gap.” Ensenada, Mexico, December 2-4, 2014.
  46. Woodward, C., D. Gardner, K.J. Evans. “On the Use of Finite Difference Matrix-Vector Products in Newton-Krylov Solvers for Implicit Climate Dynamics with Spectral Elements,” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015. Conference Proceedings: Procedia Computer Science Volume 51, 2015, 2025-2034. doi:10.1016/j.procs.2015.05.468

Presentations and Posters

  1. Anantharaj, V., M. Norman, K. Evans, M. Taylor, P. Worley, J. Hack, B. Mayer, “Addressing capability computing challenges of high-resolution global climate modeling at the Oak Ridge Leadership Computing Facility” EGU2014-10378, EGU General Assembly, Vienna, Austria, April 29, 2014.
  2. Anderson, G.J., D.D. Lucas, “UQ Analysis of the Double ITCZ Problem” GC31F-1158. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  3. Anderson, G., Bonfils, D.D. Lucas, B.D. Santer, “Quantifying the effect of parameter uncertainties on the simulation of drought in the Community Atmosphere Model.” H13I-1691. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  4. Archibald, R.J. Evans, D.J. Gardner C.S. Woodward, “Increasing the Multiscale/Multiphysics Capability of CAM-SE Using Implicit Time Integration and GPU Accelerators,” SIAM conference on Mathematics of the Planet Earth, Philadelphia, PA, Sept 29-Oct 1, 2016.
  5. Archibald, R., K. Evans, Worley, M. Norman, P. A. Lott, A., A. Salinger, M. Taylor, and C. Woodward. “Increasing the multiscale/multiphysics capability of CAM-SE using implicit time integration and GPU accelerators,” DOE BER Climate Modeling PI Meeting, Potomac, MD, May 2014.
  6. Archibald, R.K., 2012: “Porting the CAM-SE dynamical core to hybrid GPU platforms.” 1st International Conference on Frontiers in Computational Physics: Modeling the Earth System, Boulder, CO, December, 2012.
  7. Benedict, J., S. Pritchard, W. Collins. “MJO Sensitivity to the Indian Ocean Dipole in the Superparameterized CAM.” A51L-04. AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  8. Benedict, J. J., W. D. Collins, J.N. Johnson, E. English, H. Johansen, P. McCorquodale, “Developments in Multiscale Climate Modeling with Adaptive Mesh Refinement,” DOE BER Climate Modeling PI Meeting, Potomac, MD, May 2014.
  9. Benedict, J. J., W. D. Collins, J. N. Johnson, H. Johansen, E. English, P. McCorquodale, Jablonowski, J. Ferguson, “Development of a Multiscale Global Climate Model with Adaptive Mesh Refinement,” CESM Workshop, Breckenridge, CO, June 2014.
  10. Benedict, J. J., W. Collins, H. Johansen, “Organized Tropical Convection in a High-Order Finite-Volume GCM Dynamical Framework with Adaptive Mesh Refinement” (A33B-0217), AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
  11. Bulaevskaya, V., Lucas. “Climate Model Calibration Across Multiple Spatial Resolutions,” Conference on Data Analysis (CoDA) 2016, Los Alamos National Laboratory, Los Alamos, NM, March 2-4, 2016.
  12. Bulaevskaya, V., D.D. Lucas, “CAM5 Climate Model Calibration Across Multiple Spatial Resolutions.” GC43C-1226. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  13. Bulaevskaya, V., D. Lucas, “Climate Model Calibration Across Multiple Spatial Resolutions.” Joint Statistical Meetings, Seattle, WA, August 8-13, 2015.
  14. Bulaevskaya, V., D. Lucas, “Objective tuning of model parameters in CAM5 across different spatial resolutions.” GC41F-0646. (poster) AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  15. Caldwell, P., M. Taylor, “Improving Model Throughput by Parallel Splitting Atmospheric Physics and Dynamics,” Physics/Dynamics Coupling in Weather and Climate Models, Richland, WA, Sept 20-22, 2016.
  16. Caldwell, P., M. Taylor, “Improving Model Throughput by Parallel Splitting Atmospheric Physics and Dynamics,” AXICCS (Advancing X-cutting Ideas for Computational Climate Science) Workshop, Rockville, MD, September 12 – 13, 2016.
  17. Caldwell, P., M. Taylor, “Improving Model Throughput by Parallel Splitting Atmospheric Physics and Dynamics,” SIAM Annual Meeting, Boston, MA, July 11 – 15, 2016.
  18. Caldwell, P.,: “Improving Model Throughput by Parallel Splitting Atmospheric Physics and Dynamics.” CESM Atmosphere Model Working Group, Boulder, CO, March, 2016.
  19. Caldwell, P., M. Taylor, “Improving Throughput of the ACME Climate Model by Parallel Splitting Atmospheric Physics and Dynamics.” NG23A-1774. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  20. Caldwell, P, “Issues with Coupling Macrophysics and Microphysics in the CAM5 Climate Model.” Physics/Dynamics Coupling in Geophysical Models, Ensenada, Mexico. December 2-4 2014.
  21. Caldwell, P., 2013: “Improving Consistency Between Cloud Parameterizations in the Community Atmosphere Model.” Atmospheric Model Working Group (AMWG), Boulder, CO, February 11, 2013.
  22. Caldwell, P., 2012: “Improving Consistency Between Cloud Parameterizations in the Community Atmosphere Model.” ECMWF (European Centre for Medium-Range Weather Forecasts) Cloud Workshop, Reading, UK, November, 2012.
  23. Caldwell, P., 2012: “The Case of the Missing Condensate: Improving Connections between Cloud Processes in CAM5.” Pan-GASS workshop, Boulder, CO, September, 2012.
  24. Caldwell, P., 2012: “The Case of the Missing Condensate: Improving Connections between Cloud Processes in CAM5.” AGU Fall Meeting, San Francisco, CA, December, 2012.
  25. Chen, Q., Ringler and P. Gent: “Spatially-varying coefficients for Gent-McWilliams closure,” Ocean Turbulence Conference, Santa Fe, NM, June 8, 2013.
  26. Chowdhary, K., Z. Guo, M. Wang, D. Lucas, B. Debusschere, “Applying Bayesian Compressed Sensing (BCS) for sensitivity analysis of climate model outputs that depend on a high-dimensional input space.” IN43B-3687. AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  27. Chowdhary, K., B. Debusschere, V. Larson, M. Salloum, “Quadrature methods for sub-grid microphysics statistical moments,” World Weather Open Science Conference, Montreal, Canada, August, 2014.
  28. Chowdhary, K., Salloum, B. Debusschere, V. Larson. “Improvements in sub-grid microphysics averages using quadrature and prediction for high-D stochastic outputs using Bayesian compressed sensing,” NCAR/ASP Colloquium on Uncertainty in Climate Change, Boulder, CO. July, 2014.
  29. Chowdhary, K., B. Debusschere, V. E. Larson, “Improvements in sub-grid, microphysics averages using quadrature based approaches” (A33B-0207), AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
  30. Collins, W., “A Harder Rain is Going to Fall: Challenges for Actionable Projections of Extremes.” GC32A-06. AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  31. Craig, C.A., Goldhaber, A. Gettelman, J. Bacmeister, and B.E. Eaton, 2013: “Subcolumns in CAM”, CESM Workshop, Breckenridge, CO, June 2013.
  32. Cvijanovic, I., C. Bonfils, D. Lucas, B.D. Santer, J.C.H. Chiang, “Can large scale sea ice cover changes affect precipitation patterns over California?” GC41H-03. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  33. Donahue, A., P. Caldwell, et al. “Understanding the Impact of Process Ordering within ACME” Physics Dynamics Coupling in Weather and Climate Models, Richland WA, Sept 20-22nd, 2016.
  34. Donahue, A.S ., P. M. Caldwell, “Understanding the impact of process ordering within CAM5”, Annual CESM Workshop, Breckenridge, CO June 20-23, 2015.
  35. Donahue, A. S., P. M. Caldwell, “Understanding the impact of process ordering within climate models”, Lawrence Livermore Postdoctoral Poster Symposium, Livermore, CA June 7, 2014.
  36. Duan, S., J.S. Wright, M. Romps, “The Sensitivity of Atmospheric Water Isotopes to Entrainment and Precipitation Efficiency in a Bulk Plume Model of Convection” A31M-06. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  37. Edman, J., M. Romps, “Damping of Gravity Waves by Radiation to the Stratosphere” A33K-06. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  38. Ettammal, S., J. Zhang, “Evaluation of triggering functions in convective parameterization schemes using observations” A33K-05, AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
  39. Evans, K.J., R. Archibald, M.R. Norman, Gardner, C.S. Woodward, P. Worley, M. Taylor, “Efficiency and flexibility using implicit methods within atmosphere dycores” A34A-04 AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  40. Evans, K.J., R. Archibald, P.H. Worley, C.S. Woodward, D.J. Gardner, “Exploring the Computational Performance of Implicit Methods for a Large Scale Climate Application”, SIAM conference on Mathematics of the Planet Earth, Sept 29-Oct 1, 2016.
  41. Evans, K.J., R. Archibald, P.A. Lott, Ribbeck, M.A. Taylor, C. Woodward, “Implicit methods in the CAM dycore: When are they a win?” CESM Atmosphere Model Working Group (AMWG) meeting, NCAR, Boulder CO, Feb, 2014.
  42. Evans, K., R. Archibald, C. Baker, Norman, P. A. Lott, J. Ribbeck, A. Salinger, M. A. Taylor, C. Woodward, “Increasing the Multiphysics/Multiscale Capability of CAM-SE using implicit time integration and GPU accelerators,” CESM Annual Workshop, Breckenridge, CO, June, 2013.
  43. Evans, K.J., R. Archibald, C. Baker, Norman, P.A. Lott, J. Ribbeck, A. Salinger, M.A. Taylor, C. Woodward, “A high order spectral deferred correction time integration method in CAM-HOMME.” CESM Annual Workshop, Breckenridge, CO, June 2013.
  44. Fan, J., Y.-C. Liu,-M. Xu, G. J. Zhang, X. Dong, K. North, S. Collis, Q. Chen, S. Ghan, 2014: “Development of a scale-aware cumulus parameterization – Part I: evaluation of model simulations with spectral-bin microphysics and comparisons with bulk microphysics.” CMMAP fall meeting, Fort Collins, CO, August, 2014.
  45. Fan, J., Y.-C. Liu, K.-M. Xu, J. Zhang, X. Dong, K. North, S.t Collis, Q. Chen, and S. Ghan, 2014: “Development of a scale-aware cumulus parameterization – Part I: evaluation of model simulations with spectral-bin microphysics and comparisons with bulk microphysics.” CMMAP fall meeting, Fort Collins, CO, August, 2014.
  46. Fan, J., Y.-C. Liu, G. Zhang, and K.-M. Xu, “Developing and Evaluating a Scale-Aware Cumulus Parameterization for Mesoscale and Climate Models,” Multiscale/SciDAC3 All Hands Science Team Meeting, Denver, CO, September 2013.
  47. Ferguson, J.O., Jablonowski, E. Goodfriend, H. Johansen, P. McCorquodale, “Bridging Scales with a High-Order Adaptive Mesh Refinement Dynamical Core” A34A-06. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  48. Ferguson, J.O., C. Jablonowski, Johansen, P. McCorquodale, P.A. Ullrich, “Using the Chombo Adaptive Mesh Refinement Model in Shallow Water Mode to Simulate Interactions of Tropical Cyclone-like Vortices.” NG23A-1769. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  49. Ferguson, J., C. Jablonowski, Johansen, R.E. English, P. McCorquodale, P. Colella, J.J. Benedict, W. Collins, J.N. Johnson, P.A. Ullrich. “Assessing Grid Refinement Strategies in the Chombo Adaptive Mesh Refinement Model.” A13M-06. AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  50. Gardner, D.J., S. Woodward, P. M. Caldwell, K. J. Evans, “Advanced Time Integration Methods for Atmospheric Physics,” AXICCS (Advancing X-cutting Ideas for Computational Climate Science) Workshop, Rockville, MD, September 12 – 13, 2016.
  51. Gardner, D.J., M. Caldwell, C. S. Woodward, “Advanced Time Integration Methods for Atmospheric Physics,” SIAM Annual Meeting, Boston, MA, July 11 – 15, 2016.
  52. Gardner, D.J., Archibald, K.J. Evans, P.A. Ullrich, C.S. Woodward, and P.H. Worley, “Scalable Nonlinear Solvers and Preconditioners in Climate Applications,” SIAM Conference on Parallel Processing, Paris, France, April 12 – 15, 2016.
  53. Gardner, David J., Richard Archibald, Katherine J. Evans, Carol S. Woodward, “Implicit Time Stepping and Preconditioning for Global Atmospheric Dynamics in Climate Simulation,” Fourteenth Copper Mountain Conference on Iterative Methods, Copper Mountain, CO, March 20 25, 2016.
  54. Gardner, D., K. Evans, C.S. Woodward, R. Archibald, Worley, “Implicit Time Stepping and Preconditioning for Atmospheric Dynamics in the Community Atmosphere Model.” NG23A-1776. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  55. Gardner, D.J., K.J. Evans, A. Lott, A. Salinger, C.S. Woodward, “Preconditioners for Implicit Atmospheric Climate Simulations in the Community Atmosphere Model.” SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March 14-18, 2015.
  56. Gardner, D., P. Caldwell, J. Sexton, Woodward. “Numerical Errors in Coupling Micro- and Macrophysics in the Community Atmosphere Model.” A21B-3016. AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  57. Gardner, D.J., P.M. Caldwell,M. Sexton, C.S. Woodward, “Numerical Errors in Coupling Micro and Macrophysics in the Community Atmosphere Model.” SIAM Conference on Mathematical and Computational Issues in the Geosciences, Stanford University, Stanford, CA, June 29 – July 2, 2015.
  58. Gardner, D.J., P.M. Caldwell, K.J. Evans, J.M. Sexton, C.S. Woodward, “Scalable Preconditioning and Multiscale Coupling in Climate Modeling.” LLNL Institutional Postdoc Poster Symposium, Livermore, CA, June 17, 2015.
  59. Goldhaber, S., 2014: “Separating the physics and dynamics grids”, CESM Annual Workshop, Breckenridge, CO, June 2014.
  60. Guba, O., “A scale-aware dissipation mechanism for variable-resolution grids in CAM”, SciDAC-3 PI Meeting, Rockville MD, July 24-26, 2013.
  61. Guba, O. and Taylor, “A scale-aware mechanism dissipation mechanism for variable-resolution grids in CAM,” CESM Annual workshop, Breckenridge, CO, June, 2013.
  62. Guba, O. and Taylor, “Advection scheme in CAM-SE: Focus on stabilization,” SIAM Conference on Computational Science & Engineering , Boston, MA, March, 2013.
  63. Habtezion, B. L., P. Caldwell, “Analysis of Time step sensitivity in the Community Atmospheric Model using Single-Column and Global Simulations” A33B-0204, AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
  64. Huang, X., P. Ullrich, “Characterizing precipitation changes during twenty-first century over western United States using variable-resolution CESM,” GC11B-1124. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  65. Jacobsen, D., T. Ringler, Petersen, P. Jones, M. Maltrud, “OMWG 2013: MPAS-O Status Update.” National Center for Atmospheric Research, Boulder, CO, January 22, 2013.
  66. Johansen, H., Goodfriend,B. Lelbach, S. Williams, “Performance improvements and OpenMP design for a finite volume AMR dycore,” 2016 MultiCore 6 Workshop, Sep 13 – 14, 2016, NCAR Boulder, Colorado.
  67. Johansen, H., “A Higher-Order Finite Volume Nonhydrostatic Dynamical Core with Space-Time Refinement,” Numerical and Computational Developments to Advance Multi-scale Earth System Models (MSESM), International Conference on Computational Science (ICCS), Reykjavik, Iceland. June 1-3, 2015.
  68. Johansen, H., E. Goodfriend, P. McCorquodale, Colella, W. Collins, J. Johnson, D. Rosa, J. Benedict, P. Ullrich, J. Ferguson, C. Jablonowski, “Progress towards a Space-Time Adaptive Non-Hydrostatic Dynamical Core”, Workshop on Physics Dynamics Coupling, Dec 2-4, 2014.
  69. Kotamarthi, V.R., Collins, F.M. Hoffman, K. Kunkel. “Climatology and Trends of Extreme Events in Climate Models Capable of Resolving Regional-Scale Processes II.” GC33A. (poster) AGU Fall Meeting, San Francisco, CA, December 15-19, 2014.
  70. Larson, V. E., 2012: “Mathematical challenges associated with the subgrid PDF method of estimating small-scale clouds in climate models.” Multiscale All Hands Science Team Meeting, LBNL, Berkeley, CA, October, 2012.
  71. Larson, V. E., P. Schanen, M. Wang, M. Ovchinnikov, S. Ghan, 2012: “Introducing scale awareness into a subgrid parameterization.” Scientific Discovery through Advanced Computing (SciDAC-3) Principal Investigator Meeting, Rockville, MD, September 2012.
  72. Lauritzen, P.H., A. Taylor, S. Goldhaber, J. Bacmeister, and R.D. Nair, 2014: “Physics-dynamics coupling with Galerkin methods: Equal-area physics grid,” CESM Annual Workshop, Breckenridge, CO, June, 2014.
  73. Lin, G., Y. Qian, K. Zhang, S.J. Ghan, “Towards a parameterization of aerosol sub-grid variability for global climate models” A44E-06. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2016.
  74. Lin, G., Y. Qian, H. Wan, S. Ghan, “Using nudged simulations to investigate parameter sensitivities in CAM5.” GC43C-1224. AGU Fall Meeting, San Francisco, CA, Dec 14-18, 2015.
  75. Liu, Y.-C., J. W. Fan, G. J. Zhang, M. Xu, 2014: “Development of a scale-aware cumulus parameterization– Part II: analysis of cloud-resolving model simulations.” CMMAP fall meeting, Fort Collins, CO, August, 2014.
  76. Liu, Y.-C., J. Fan, G. J. Zhang, K,-M. Xu, Ghan, “Development of a scale-aware cumulus parameterization.” PNNL postdoc Research Symposium, Richland, WA, August, 2014.
  77. Liu, Y.-C., J. Fan, G. J. Zhang, K.-M. Xu, “Developing and Evaluating a Scale-Aware Cumulus Parameterization for Mesoscale and Climate Models Using Cloud-Resolving Model Simulations,” A31A-0034 AGU Fall Meeting, San Francisco, CA, December 9-13, 2013.
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