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Refereed CMMAP Publications

For most of these publications, clicking on the title will download a PDF copy of the full text for your personal noncommercial use. These are copyrighted by the respective publisher. For American Meteorological Society, these are posted subject to the AMS disclaimer, which you should read before downloading them. Other publishers have similar disclaimers.

2017
  1. Baker, I. T., P. J. Sellers, A. S. Denning, I. Medina, P. Kraus, K. D. Haynes, and S. C. Biraud (2017), Closing the scale gap between land surface parameterizations and GCMs with a new scheme, SiB3-Bins, J. Adv. Model. Earth Syst., 9, doi:10.1002/ 2016MS000764.
  2. Bonan, G. B., E. G. Patton, I. N. Harman, K. W. Oleson, J. J. Finnigan, Y. Lu, and E. A. Burakowski, 2017: Modeling canopy-induced turbulence in the Earth system: a unified parameterization of turbulent exchange within plant canopies and the roughness sublayer (CLM-ml v0), Geosci. Model Dev. Discuss., doi: 10.5194/gmd-2017-261, in review.
  3. Canetto, S. S., Trott, C. D., Winterrowd, E., Haruyama, D., & Johnson, A. (2017). Challenges to the choice discourse: Women’s views of their academic science career and family options and constraints. Journal of Feminist Family Therapy, 29(1-2), 4-27. doi: 10.1080/08952833.2016.127317
  4. Eldred, C., and D. A. Randall, 2017: Total energy and potential enstrophy conserving schemes for the shallow water equations using Hamiltonian methods: Derivation and Properties (Part 1). Geoscientific Model Development, 10, 791–810.
  5. Glenn I. B, and S. K Krueger, 2017: Connections matter: Updraft merging in organized tropical deep convection. Geophys. Res. Lett., 44, doi:10.1002/2017GL074162.
  6. Gonzalez, A. O., G. Mora Rojas, W. H. Schubert, and R. K. Taft, 2017: Transient aspects of the Hadley circulation forced by an idealized off-equatorial ITCZ. J. Adv. Model. Earth Syst., 9, 668-690, doi:10.1002/2016MS000837.
  7. Morrison, H., 2017: An analytic description of the structure and evolution of growing deep cumulus updrafts. J. Atmos. Sci., 74, 809-834.
  8. Neggers, R. A. J., Ackerman, A. S., Angevine, W. M., Bazile, E., Beau, I., Blossey, P. N., Cheng, A, Xu, K.-M. (2017). Single-column model simulations of subtropical marine boundary-layer cloud transitions under weakening inversions. Journal of Advances in Modeling Earth Systems, 9, 2385–2412, https://doi.org/10.1002/2017MS001064
  9. Voigt, A., R. Pincus, B. Stevens, S. Bony, O. Boucher, N. Bellouin, A. Lewinschal, B. Medeiros, Z. Wang, and H. Zhang, 2017: Fast and slow shifts of the zonal-mean intertropical convergence zone in response to an idealized anthropogenic aerosol. J. Adv. Model. Earth Syst., 9, 870–892, doi:10.1002/2016MS000902.
  10. Xu, K.-M., Z. Li, A. Cheng, P. N. Blossey, and C. Stan (2017), Differences in the hydrological cycle and sensitivity between multiscale modeling frameworks with and without a higher-order turbulence closure, J. Adv. Model. Earth Syst., 9, 2120–2137, doi:10.1002/2017MS000970.
  11. Zelinka, M. D., D. A. Randall, M. J. Webb, and S. A. Klein, 2017: Clearing clouds of uncertainty. Nature Climate Change, 7, 674-678.
2016
  1. Arakawa, Akio, Joon-Hee Jung, and Chien-Ming Wu, 2016: Multiscale modeling of the moist-convective atmosphere. Multiscale Convection-Coupled Systems in the Tropics: A tribute to Dr. Michio Yanai, Meteor. Monogr., 56, Amer. Meteor. Soc., 16.1-16.17. DOI: 10.1175/AMSMONOGRAPHS-D-15-0014.1.
  2. Blossey, P. N., C. S. Bretherton, A. Cheng, S. Endo, T. Heus, A. P. Lock, and J. J. van der Dussen (2016), CGILS Phase 2 LES intercomparison of response of subtropical marine low cloud regimes to CO2 quadrupling and a CMIP3 composite forcing change, J. Adv. Model. Earth Syst., 8, 1714–1726, doi:10.1002/2016MS000765.
  3. Burt, M. A., D. A. Randall, and M. D. Branson, 2016: Dark Warming, J. Climate, 29, 705–719. doi: http://dx.doi.org/10.1175/JCLI-D-15-0147.1.
  4. Daleu, C. L., Coauthors, and A. Cheng,, 2016: Intercomparison of methods of coupling between convection and large-scale circulation: 2. Comparison over nonuniform surface conditions, J. Adv. Model. Earth Syst., 8, doi:10.1002/2015MS000570.
  5. DeMott, C. A., J. J. Benedict, N. P. Klingaman, S. J. Woolnough, and D A. Randall, 2016: Diagnosing ocean feedbacks to the MJO: SST-modulated surface fluxes and the moist static energy budget. J. Geophys. Res. Atmos., 121, 8350–8373, doi:10.1002/2016JD025098.
  6. Elliott, E. J, S. Yu, G. J. Kooperman, H. Morrison, M. Wang, and M. S. Pritchard (2016), Sensitivity of summer ensembles of fledgling superparameterized U.S. mesoscale convective systems to cloud resolving model microphysics and grid configuration, J. Adv. Model. Earth Syst., 8, doi:10.1002/2015MS000567.
  7. Gonzalez, A. O., C. J. Slocum, R. K. Taft, and W. H. Schubert, 2016: Dynamics of the ITCZ Boundary Layer. J. Atmos. Sci., 73, 1577-1592.
  8. Grabowski, W. W., and H. Morrison, 2016: Untangling microphysical impacts on deep convection applying a novel modeling methodology. Part II: Double-moment microphysics. J. Atmos. Sci., 73, 3749-3770.
  9. Jung, J.-H. and A. Arakawa, 2016: Simulation of subgrid orographic precipitation with an embedded 2-D cloud-resolving model. J. Adv. Model. Earth Syst., 8, 31-40. DOI: 10.1002/2015MS000539.
  10. Jung, J.-H., 2016: Simulation of orographic effects with a quasi-3-D multiscale modeling framework: Basic algorithm and preliminary results. J. Adv. Model. Earth Syst., 8. DOI: 10.1002/2016MS000783.
  11. Kooperman, G. J., M. S. Pritchard, M. A. Burt, M. D. Branson, and D. A. Randall, 2016: Robust effects of cloud super-parameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model. J. Adv. Modeling Earth Syst., 8, doi:10.1002/ 2015MS000574.
  12. Kooperman, G. J., M. S. Pritchard, M. A. Burt, M. D. Branson, and D. A. Randall, 2016: Impacts of cloud super-parameterization on projected daily rainfall intensity climate changes in multiple versions of the Community Earth System Model. J. Adv. Modeling Earth Syst., 8, doi:10.1002/ 2016MS000715.
  13. Milbrandt, J. A., and H. Morrison, 2016: Parameterization of cloud microphysics based on the prediction of ice particle properties. Part 3: Introduction of multiple free categories. J. Atmos. Sci., 73, 975-995.
  14. Morrison, H., A. A. Jensen, J. Y. Harrington, and J. A. Milbrandt, 2016: Advection of coupled hydrometeor quantities in bulk cloud microphysics schemes. Mon. Wea. Rev., 144, 2809-2829.
  15. Morrison, H., 2016: Impacts of updraft size and dimensionality on the perturbation pressure and vertical velocity in cumulus convection, Part 1: Simple, generalized analytic solutions. J. Atmos. Sci., 73, 1441-1454.
  16. Morrison, H., 2016: Impacts of updraft size and dimensionality on the perturbation pressure and vertical velocity in cumulus convection, Part 2: Comparison of theoretical and numerical solutions and fully dynamical simulations. J. Atmos. Sci., 73, 1455-1480.
  17. Patton, E. G., P. P. Sullivan, R. H. Shaw, J. J. Finnigan, J. C. Weil, 2016: Atmospheric stability influences on coupled boundary layer and canopy turbulence, Journal of the Atmospheric Sciences, 73, pp. 1621-1647, doi: 10.1175/JAS-D-15-0068.1.
  18. Randall, D. A., C. DeMott, C. Stan, M. Khairoutdinov, J. Benedict, R. McCrary, and K. Thayer-Calder, 2016: Simulations of the tropical general circulation with a multiscale global model. Chapter 15 of Multiscale Convection-Coupled Systems in the Tropics: A tribute to Dr. Michio Yanai, R. G. Fovell and W.-W. Tung, Eds. Meteorological Monographs, 56, published by the American Meteorological Society. DOI: http://dx.doi.org/10.1175/AMSMONOGRAPHS-D-15-0016.1.
  19. Randall, D. A., A. D. Del Genio, L. J. Donner, W. D. Collins, and W. A. Klein, 2016: The Impact of ARM on Climate Modeling. Chapter 26 of The Atmospheric Radiation Measurement (ARM) Program: The First 20 Years, D. D. Turner and R. Ellingson, Eds. Meteorological Monographs, 57, published by the American Meteorological Society. DOI: 10.1175/AMSMONOGRAPHS-D-15-0050.1
  20. Sample McMeeking, L.B., Weinberg, A.E., Boyd, K., & Balgopal, M.M., 2016: Student perceptions of interest, learning, and engagement from an informal traveling science museum. School Science and Mathematics, 116(5), 253-264.
  21. Shapkalijevski, M., A. F. Moene, H. G. Ouwersloot, E. G. Patton, J. Vila-Guerau de Arellano, 2016: Influence of canopy seasonal changes on turbulence parameterization within the roughness sublayer over an orchard canopy, Journal of Applied Meteorology and Climatology, 55, pp. 1391-1407, doi: 10.1175/JAMC-D-15-0205.1.
  22. Siperstein, Hall, LeMenager, Routledge, 2016: Making Climate Change Our Job. Chaper in Teaching Climate Change in the Humanities, 17-23.
  23. Xu, K.-M., and A. Cheng, 2016: Understanding the tropical cloud feedback from an analysis of the circulation and stability regimes simulated from an upgraded multiscale modeling framework. J. Adv. Model. Earth Syst., 8, doi:10.1002/2016MS000767.
  24. Wu, C.-M., and A. Arakawa, A., 2014: A Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere: Part II. J. Atmos. Sci., 71, 2089-2103.
2015
  1. Alfaro, D. A., and M. Khairoutdinov, 2015: Thermodynamic constraints on the morphology of simulated midlatitude squall lines. J. Atmos. Sci., 72, 3116-3137.
  2. Arakawa, A., and C.-M. Wu, 2015: Reply to "Comments on 'Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere. Part I'". J. Atmos. Sci., 72, 2566-2567.
  3. Arnold, N. P., M. Branson, Z. Kuang, D. A. Randall, and E. Tziperman, 2015: MJO intensification with warming in the super-parameterized CESM. J. Climate, 28, 2706-2724. doi: http://dx.doi.org/10.1175/JCLI-D-14-00494.1
  4. Arnold, N. P., and D. A. Randall, 2015: Global-scale convective aggregation: Implications for the MJO. J. Adv. Modeling Earth Syst., 7, doi:10.1002/2015MS000498.
  5. Bretherton, C.S., and M. Khairoutdinov, 2015: Convective self-aggregation feedbacks in near-global cloud-resolving simulations of an aquaplanet. J. Adv. Model. Earth Syst., DOI: 10.1002/2015MS000499.
  6. Bretherton, C. S., 2015: Insights into low-latitude cloud feedbacks from high-resolution models. Phil. Trans. Roy. Soc. A, 373: 20140415. doi:10.1098/rsta.2014.0415.
  7. Cheng A., K.-M. Xu, 2015: Improved low-cloud simulation from the Community Atmosphere Model with an advanced third-order turbulence closure. J. Climate, 28, 5737–5762.
  8. Daleu, C. L., Coauthors, and A. Cheng, , 2015: Intercomparison of methods of coupling between convection and large-scale circulation: 1. Comparison over uniform surface conditions, J. Adv. Model. Earth Syst., 7, 1576–1601, doi:10.1002/2015MS000468.
  9. DeMott, C. A., N. P. Klingaman, and S. J. Woolnough (2015), Atmosphere-ocean coupled processes in the Madden-Julian oscillation, Rev. Geophys., 53, 1099–1154, doi:10.1002/2014RG000478
  10. Firl, G., and D. A. Randall, 2015: Fitting and Analyzing Large-Eddy Simulations Using Multiple Trivariate Gaussians. J. Atmos. Sci.,72, 1094-1116.doi: http://dx.doi.org/10.1175/JAS-D-14-0192.1.
  11. Gettelman, A., and H. Morrison, 2015: Advanced two-moment bulk microphysics for global models. Part I: Off-line tests and comparison with other schemes. J. Climate, 28, 1268-1287.
  12. Gettelman, A., H. Morrison, S. Santos, P. Bogenschutz, and P. M. Caldwell, 2015: Advanced two-moment bulk microphysics for global models. Part II: Global model solutions and Aerosol-Cloud Interactions. J. Climate, 28, 1288-1307.
  13. Goswami, B.B.; R. P. M. Krishna, P. Mukhopadhyay, M. F. Khairoutdinov, B. N. Goswami, 2015: Simulation of the Indian Summer Monsoon in the Superparameterized Climate Forecast System version 2: Preliminary Results. J. Climate, 28, 8988-9012. doi: http://dx.doi.org/10.1175/JCLI-D-14-00607.1
  14. Grabowski, W. W., L.-P. and Wang, and T. V. Prabha, 2015, Macroscopic impacts of cloud and precipitation processes on maritime shallow convection as simulated by an LES model with bin microphysics. Atmos. Chem. Phys., 15, 913-926.
  15. Grabowski, W. W., 2015: Untangling microphysical impacts on deep convection applying a novel modeling methodology. J. Atmos. Sci., 72, 2446-2464.
  16. Grabowski, W. W., and D. Jarecka, 2015: Modeling condensation in shallow nonprecipitating convection. J. Atmos. Sci., 72, 4661-4679.
  17. Jiang, X., D. E. Waliser, P. K. Xavier, J. Petch, N. P. Klingaman, S. J. Woolnough, B. Guan, G. Bellon, T. Crueger, C. DeMott, C. Hannay, H. Lin, W. Hu, D. Kim, C. -L. Lappen, M. -M. Lu, H. -Y. Ma, T. Miyakawa, J. A. Ridout, S. D. Schubert, J. Sinocca, K. -H. Seo, E. Shindo, X. Song, C. Stan, W. -L. Tseng, W. Wang, T. Wu, X. Wu, K. Wyser, G. J. Zhang, and H. Zu, 2015: Vertical structure and physical processes of the Madden-Julian Oscillation: Exploring key model physics in climate simulations. J. Geophys. Res., doi:10.1002/2014JD022375.
  18. Krishnamurthy, V., and C. Stan, 2015: Simulation of the South American climate by a coupled model with super-parameterized convection. Clim. Dyn., doi:10.1007/s00382-015-2476-6.
  19. Kurowski, M. J., W. W. Grabowski, P. K. Smolarkiewicz, 2015: Anelastic and compressible simulation of moist dynamics at planetary scales. J. Atmos. Sci., 72, 3975-3995.
  20. Lebo, Z. J., and H. Morrison, 2015: Effects of horizontal and vertical grid spacing on mixing in simulated squall lines and implications for convective strength and structure. Mon. Wea. Rev., 143, 4355-4375.
  21. Lee, J. K., and M. Khairoutdinov, 2015: Simplified Land Model (SLM) for use in cloud resolving models: Formulation and evaluation. J. Adv. Model. Earth Syst., 07, doi: 10.1002/2014MS000419.
  22. MacPhee, D., & Canetto, S. S. (2015). Women in academic atmospheric sciences. Bulletin of the American Meteorological Society, 96, 59-67. doi:10.1175/BAMS-D-12-00215.1
  23. Morrison, H., and J. A. Milbrandt, 2015: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part I: Scheme description and idealized tests. J. Atmos. Sci., 72, 287-311.
  24. Morrison, H., J. A. Milbrandt, G. H. Bryan, K. Ikeda, S. A. Tessendorf, and G. Thompson, 2015: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part II: Case study comparisons with observations and other schemes. J. Atmos. Sci., 72, 312-339.
  25. Morrison, H., A. Morales, C. Villanueva-Birriel, 2015: Concurrent sensitivities of an idealized deep convective storm to parameterization of microphysics, horizontal grid resolution, and environmental static stability. Mon. Wea. Rev., 143, 2082-2104.
  26. Painemal D., K-M Xu, A. Cheng, P. Minnis, and R. Palikonda, 2015: Mean structure and diurnal cycle of Southeast Atlantic boundary layer clouds: Insights from satellite observations and multiscale modeling framework simulations, J. Clim., 28, 324-341.
  27. Thayer-Calder, K., and D. A. Randall, 2015: Examining Boundary Layer Quasi-Equilibrium with Cloud Model Simulations. Geophys. Res. Lett., 42, doi:10.1002/2014GL062649.
  28. Wood, L., J. Daily, H.Michael, B. Palmer, K. Schuchardt, D. Dazlich, R. Heikes, and D. A. Randall, 2015: A global climate model agent for high spatial and temporal resolution data. The International Journal of High Performance Computing Applications, 29, 107-116.
2014
  1. Arnold, N., M. Branson, M. A. Burt, D. S. Abbot, Z. Kuang, D. A. Randall, and E. Tziperman, 2014: Effects of explicit atmospheric convection at high CO2. Proc. Nat. Acad. Sci., 111, 10943–10948.
  2. Bopape, M.-J., F. Engelbrecht, D. A. Randall, and W. A. Landman, 2014: Advances towards the development of a cloud-resolving model in South Africa. South African Journal of Science, 110, Art. #2013-0133, 12 pages. http://dx.doi.org/10.1590/ sajs.2014/20130133.
  3. Bozzo, A., R. Pincus, I. Sandu, and J.-J. Morcrette, 2014: Impact of a spectral sampling technique for radiation on ECMWF weather forecasts. J. Adv. Model. Earth Syst., 6, 1288–1300, doi:10.1002/2014MS000386.
  4. Bretherton, C. S., P. N. Blossey, and C. Stan (2014), Cloud feedbacks on greenhouse warming in the superparameterized climate model SP-CCSM4, J. Adv. Model. Earth Syst., 6, 1185–1204, doi:10.1002/2014MS000355.
  5. Bretherton, C. S., and P. N. Blossey (2014), Low cloud reduction in a greenhouse-warmed climate: Results from Lagrangian LES of a subtropical marine cloudiness transition, J. Adv. Model. Earth Syst., 6, 91–114, doi:10.1002/2013MS000250.
  6. Chikira, M., 2014: Eastward-Propagating Intraseasonal Oscillation Represented by Chikira-Sugiyama Cumulus Parameterization. Part II: Understanding Moisture Variation under Weak Temperature Gradient Balance. J. Atmos. Sci., 71, 615-639. doi: http://dx.doi.org/10.1175/JAS-D-13-038.1.
  7. DeMott, C. A., C. Stan, D. A. Randall, and M. Branson, 2014: Intraseasonal Variability in Coupled GCMs: The Roles of Ocean Feedbacks and Model Physics. J. Climate. 27, 4970-4994, doi: http://dx.doi.org/10.1175/JCLI-D-13-00760.1.
  8. Emmett, R., and F. Zelko, 2014: "The Simplicity Complex," in Minding the Gap: Working Across Disciplines in Environmental Studies. RCC Perspectives, 43-45.
  9. Glenn, I., and S. Krueger, 2014: Downdrafts in the near cloud environment of deep con- vective updrafts. J. Adv. Model. Earth Syst., 6, 1–7, http://dx.doi.org/10.1002/ 2013MS000261
  10. Gonzalez, A. O., and G. Mora Rojas, 2014: Balanced dynamics of deep and shallow Hadley circulations in the tropics. J. Adv. Model. Earth Syst., 6, 777-804, doi:10.1002/2013MS000278.
  11. Grabowski, W. W., 2014: Extracting microphysical impacts in large eddy simulations of shallow convection. J. Atmos. Sci., 71, 4493-4499.
  12. Harper, A., A. S. Denning, I. Baker, D. A. Randall, and D. Dazlich, 2014: Impact of surface evapotranspiration on dry season climate in the Amazon forest. J. Climate, 27, 574–591.doi: http://dx.doi.org/10.1175/JCLI-D-13-00074.1
  13. Jung, Joon-Hee and Akio Arakawa, 2014: Modeling the moist-convective atmosphere with a Quasi-3-D Multiscale Modeling Framework (Q3D MMF). J. Adv. Model. Earth Syst., 6, 185-205. DOI: 10.1002/2013MS000295.
  14. Konor, C. S., 2014: Design of a Dynamical Core Based on the Nonhydrostatic "Unified System" of Equations, Mon. Wea. Rev., 142, No. 1, 364-385
  15. Kooperman, G. J., M. S. Pritchard, and R. C. J. Somerville, 2014: The response of US summer rainfall to quadrupled CO2 climate change in conventional and superparameterized versions of the NCAR community atmosphere model. J. Adv. Model. Earth Syst., 06, doi:10.1002/2014MS000306.
  16. Krishnamurthy, V., C. Stan, D. A. Randall, R. P. Shukla, and J. L. Kinter III, 2014: Simulation of the South Asian Monsoon in a Coupled Model with an Embedded Cloud-Resolving Model. J. Climate, 27, 1121–1142. doi: http://dx.doi.org/10.1175/JCLI-D-13-00257.1
  17. Kurowski, M. J., W. W. Grabowski, P. K. Smolarkiewicz, 2014: Anelastic and compressible simulation of moist deep convection. J. Atmos. Sci., 71, 3767-3787.
  18. Lebo, Z. J., and H. Morrison, 2014: Dynamical effects of aerosol perturbations on squall lines with varying wind shear. Mon. Wea. Rev., 142, 991-1009.
  19. Lohou, F. and E. G. Patton, 2014: Surface energy balance and buoyancy response to shallow cumulus shading. J. Atmos. Sci., 71, 665-682, doi: 10.1175/JAS-D-13-0145.1.
  20. McCrary, R. R., D. A. Randall, and C. Stan, 2014: Simulations of the West African Monsoon with a Super-Parameterized Climate Model. Part 1: The Seasonal Cycle. J. Climate, 27, 8303-8322. doi: JCLI-D-13-00676.1
  21. McCrary, R. R., D. A. Randall, and C. Stan, 2014: Simulations of the West African Monsoon with a Super-Parameterized Climate Model. Part 2: African Easterly Waves. J. Climate, 27, 8323-8341. doi: JCLI-D-13-0067 7.1.
  22. Medina, I. D., A. S. Denning, I. T. Baker, J. A. Ramirez and D. A. Randall, 2014: A Sampling Method for Improving the Representation of Spatially Varying Precipitation and Soil Moisture using the Simple Biosphere Model. J. Adv. Modeling Earth Syst., 6, 1-11, doi:10.1002/2013MS000251.
  23. Randall, D. A., C. DeMott, C. Stan, M. Khairoutdinov, J. Benedict, R. McCrary, K. Thayer-Calder, and M. Branson, 2014: Simulations of the tropical general circulation with a multiscale global model. Undergoing revisions for the Yanai Memorial Volume, which will be published as a Meteorological Monograph by the American Meteorological Society.
  24. Sulia, K. J., H. Morrison, and J. Y. Harrington, 2014: Dynamical and microphysical evolution during mixed-phase cloud glaciation. J. Atmos. Sci., 71, 4158-4180.
  25. Tao, W.-K., S. Lang, X. Zeng, X. Li, T. Matsui, K. Mohr, D. Posselt, J. Chern, P. Norris, I.-S. Kang, A. Hou, K.-M. Lau, I. Choi, M. Yang, 2014: The Goddard Cumulus Ensemble (GCE) Model: Improvements and Applications for Studying Precipitation Processes. An invited paper - Atmos. Res., 143, 392-424.
2013
  1. Abbot, D. S., A. Voigt, D. Li, M. Branson, R. T. Pierrehumbert, D. Pollard, G. L. Hir, and D. Koll, 2013: Robust elements of Snowball Earth atmospheric circulation and oases for life. J. Geophys. Res., 118, 6017-6027, doi:10.1002/jgrd.50540.
  2. Arakawa, A., and C.-M. Wu, 2013: A Unified Representation of Deep Moist Convection in Numerical Modeling of the Atmosphere: Part I. J. Atmos. Sci., 70, 1977-1992.
  3. Baker, I.T., H.R. da Rocha, N. Restrepo-Coupe, R. Stockli, L.S. Borma, O.M. Cabral, A.O. Manzi, A.D. Nobre, S.C. Wofsy, S.R. Saleska, M.L. Goulden, S.D. Miller, F.L. Cardoso, A.S. Denning, 2013: Surface ecophysiological behavior across vegetation and moisture gradients in Amazonia. Agric. For. Meteor., 182-183, 177-188
  4. Benedict, J. J., A. H. Sobel, E. D. Maloney, D. M. Frierson, and L. J. Donner, 2013: Tropical intraseasonal variability in Version 3 of the GFDL Atmosphere Model. J. Climate, 26, 426-449.
  5. Berry, J.A., A. Wolf, J.E. Campbell, I. Baker, N. Blake, D.Blake, A.S. Denning, S.R. Kawa, S.A. Montzka, U. Seibt, K. Stimler, D. Yakir, Z. Zhu, 2013: A coupled model of the global cycles of carbonyl sulfide and CO2: A possible new window on the carbon cycle. J. Geophys. Res., doi:10.1002/jgrg.20068.
  6. Blossey, P. N., C. S. Bretherton, M. Zhang, A. Cheng, S. Endo, T. Heus, Y. Liu, A. Lock, S. R. de Roode and K.-M. Xu, 2013: Marine low cloud sensitivity to an idealized climate change: The CGILS LES Intercomparison, J. Adv. Model. Earth Syst., 5, 234-258, doi:10.1002/jame.20025.
  7. Bogenschutz, P. A. and S. K. Krueger, 2013: A simplified PDF parameterization of subgrid-scale clouds and turbulence for cloud-resolving models. J. Adv. Model. Earth Syst., 5, 195-211, doi: 10.1002/jame.200118.
  8. Bretherton, C. S., P. N. Blossey and C. R. Jones, 2013: Mechanisms of marine low cloud sensitivity to idealized climate perturbations: A single-LES exploration extending the CGILS cases. J. Adv. Model. Earth Syst., Vol. 5, 234-258, doi:10.1002/jame.20025.
  9. Bopape, M., F. A. Engelbrecht, D. A. Randall, and W. A. Landman, 2013: Simulations of an isolated two-dimensional thunderstorm: Sensitivity to cloud droplet size and the presence of graupel. Asia-Pacific Journal of Atmospheric Sciences, DOI:10.1007/s13143-014-0003-z.
  10. Boucher, O., D. Randall, P. Artaxo, C. Bretherton, G. Feingold, P. Forster, V.-M. Kerminen, Y. Kondo, H. Liao, U. Lohmann, P. Rasch, S. K. Satheesh, S. Sherwood, B. Stevens and X. Y. Zhang, 2013: Clouds and Aerosols. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  11. Carpenter, J., 2013: Simulations of Arctic Mixed-Phase Clouds Using a New Aerosol-linked Ice Nuclei Parameterization in a Prognostic Ice Prediction Scheme. M.S. Thesis, Department of Atmospheric Science, Colorado State University.
  12. Cheng, A., and K.-M. Xu, 2013: Diurnal variability of low clouds in the Southeast Pacific simulated by a multiscale modeling framework model. J. Geophys. Res., 118, 9191-9208, DOI: 10.1002/jgrd.50683.
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2012
  1. Baker, I.T., H.R. da Rocha, N. Restrepo-Coupe, L.S. Borma, O.M. Cabral, A.O. Manzi, A.D. Nobre, S.C. Wofsy, S.R. Saleska, M.L. Goulden, S.D. Miller, F.L. Cardoso, A.S. Denning, 2012: Surface ecophysiological behavior across vegetation and moisture gradients in Amazonia. Agric. Forest Meteorol., http://dx.doi.org/10.1016/j.agrformet.2012.11.015.
  2. Bogenschutz, P. A., , A. Gettelman, H. Morrison, V. Larson, D. Schannen, and C. Craig, 2012: Coupling the Community Atmosphere Model with a Higher-order Turbulence Closure: Single Column Experiments. Geoscientific Model Development, 5, 1407-1423
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  4. Canetto, S. S., Trott, C. D., Thomas, J., & Wynstra, C. A. (2012). Making sense of the Atmospheric Science gender gap: Do female and male graduate students have different career motives, goals, and challenges? Journal of Geoscience Education, 60, 408-416.
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  9. Kooperman, G., Pritchard, M., Ghan, S., Wang,M., Somerville, R., and Russell, L., 2012, Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5, J. Geophys. Res., 117, D23204, doi:10.1029/2012JD018588.
  10. Lebo, Z. J., H. Morrison, and J. H. Seinfeld, 2012: Are simulated aerosol effects on deep convective clouds strongly dependent on saturation adjustment? Atmos. Chem. Phys., 12, 9941-9964.
  11. Li, L., Y.-P. Wang, Q. Yu, B. Pak, D. Eaumus, J. Yan, E. van Gorsel, I.T. Baker, 2012: Improving the responses of the Australian Community land surface model (CABLE) to seasonal drought. J. Geophys. Res., 117, G04002, doi:10.1029/2012JG002038.
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2011
  1. Alaka, G. J., and E. D. Maloney, 2011: The Influence of the MJO on Upstream Precursors to African Easterly Waves. J. Climate, 25, 3219-3236.
  2. Arakawa, A., Joon-Hee Jung, and Chien-Ming Wu, 2011: Toward unification of the multiscale modeling of the atmosphere. Atmos. Chem. Phys., 11, 3731-3742.
  3. Arakawa, A., and J.-H. Jung, 2011: Multiscale modeling of the moist-convective atmosphere - A review. Atmos. Res, 102, 263-285.
  4. Arakawa, A., J.-H. Jung, and C.-M. Wu, 2011: Toward unification of general circulation and cloud-resolving models. ECMWF Workshop on Non-hydrostatic Modeling, 8-10 November 2010, ECMWF, Reading, UK, 17-34
  5. Ballantyne, A.P., J.B. Miller, I.T. Baker, P.P. Tans, and J.W.C. White, 2011: Novel applications of carbon isotopes in atmospheric CO2: What can atmospheric measurements teach us about processes in the biosphere? Biogeosciences, 8, 3093-3106,doi:10.5194/bg-8-3093-2011.
  6. Benedict, J. J., and D. A. Randall, 2011: Impacts of idealized air-sea coupling on Madden-Julian Oscillation structure in the super-parameterized CAM. J. Atmos. Sci., 68, 1990-2008.
  7. Byars-Winston, A., & Canetto, S. S. (2011). Accomplishments and challenges for a diversity of women in science, technology, engineering, and mathematics education and occupations. Journal of Women and Minorities in Science and Engineering, 17, 1-3.
  8. Cheng, A. and K.-M. Xu, 2011: Improved low-cloud simulation from a multiscale modeling framework with a third-order turbulence closure in its cloud-resolving model component. J. Geophys. Res., 116, D14101, doi:10.1029/2010JD015362.
  9. D'Amico, R., P. Vermigli, S. S. Canetto, 2011: Publication productivity and career advancement by female and male psychology faculty: The case of Italy. Journal of Diversity in Higher Education, Vol 4(3), 175-184, doi: 10.1037/A0022570.
  10. DeMott, C. A., C. Stan, D. A. Randall, J. L. Kinter III, and M. Khairoutdinov, 2011: The Asian Monsoon in the Super-Parameterized CCSM and its relation to tropical wave activity. J. Climate, 24, 5134-5156.
  11. Donner, L., W. Schubert and R. Somerville, (eds.), 2011: The Development of Atmospheric General Circulation Models: Complexity, Synthesis and Computation. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  12. Drossman, H., Bennett, J., McGrath-Spangler, E., Van Roekel, L., Wells, K, E, 2011: Assessment of a Constructivist-Motivated Mentoring Program to Enhance the Teaching Skills of Atmospheric Science Graduate Students. Journal of College Science Teaching, 2011, 41(2), 72-81.
  13. Gonzalez, A.O., 2011: Steady-state circulations forced by diabatic heating and wind stress in the Intertropical Convergence Zone. Master’s thesis, Colorado State University, 121 pp.
  14. Goswami, B. B., N. J. Mani, P. Mukhopadhyay, D. E. Waliser, J. J. Benedict, E. D. Maloney, M. Khairoutdinov, and B. N. Goswami (2011), Monsoon intraseasonal oscillations as simulated by the superparameterized Community Atmosphere Model, J. Geophys. Res., 116, D22104, doi:10.1029/2011JD015948.
  15. Grabowski, W. W. and H. Morrison, 2011: Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi-equilibrium. Part 2: Double-moment microphysics. J. Climate, 24, 1897-1912.
  16. Grabowski, W. W., J. Slawinska, H. Pawlowska, and A. A. Wyszogrodzki, 2011: Macroscopic impacts of cloud and precipitation processes in shallow convection. Acta Geophysica (EULAG topical issue), 59, 1184-1204.
  17. Hannah, W. M. and E. D. Maloney, 2011: The role of Moisture-convection feedbacks in simulating the Madden-Julian Oscillation. J. Climate, 24, 2754-2770.
  18. Hosoi, S. A. and S. S. Canetto, 2011: Women in graduate engineering: Is differential dropout a factor in their underrepresentation among the engineering doctorates? Journal of Women and Minorities in Science and Engineering, 17, 11-27.
  19. Jiang, L., L. Lu, W.P. Xing, I. Baker and J. Zuo, 2011: Evaluating surface energy budgets simulated by SiB3 at three different climate-ecosystem tower sites. Scientia Meteorological Sinica, 31(4), 140-147.
  20. Jones, T. R., and D. A. Randall, 2011: Quantifying the limits of convective parameterizations. J. Geophys. Res., 116, D08210, doi:10.1029/2010JD014913.
  21. Kahn, B. H., J. Teixeira, E. J. Fetzer, A. Gettelman, S. M. Hristova-Veleva, X. Huang, A. K. Kochanski, M. Kohler, S. K. Krueger, R. Wood, and M. Zhao, 2011: Temperature and water vapor variance scaling in global models: Comparisons to satellite and aircraft data. J. Climate, 68, 2156-2168
  22. Kim, D., A. H. Sobel, E. D. Maloney, D. M. W. Frierson, and I.-S. Kang, 2011: A systematic relationship between intraseasonal variability and mean state bias. J. Climate, 24, 5506-5520.
  23. Kiranmayi, L., and E. D. Maloney, 2011: Understanding intraseasonal variability in an aquaplanet GCM. J. Meteor. Soc. Japan, 89, 195-210, doi:10.2151/jmsj.2011-302.
  24. Kiranmayi, L., and E .D. Maloney, 2011: The intraseasonal moist static energy budget in reanalysis data. J. Geophys. Res., 116, D21117, doi:10.1029/2011JD016031.
  25. Klocke, D., R. Pincus and J. Quaas, 2011: On constraining estimates of climate sensitivity with present-day observations through model weighting. J. Climate, 24, 6092-6099. doi:10.1175/2011JCLI4193.1.
  26. Kraus, P. (2011), Wetland extent from a topographic index, wetland’s impact on land surface fluxes and a model of of CH4 exchange, 80 pp, Colorado State University, Fort Collins, CO.
  27. Medina, I., 2011: Applying two binned methods to the Simple Biosphere Model (SiB) for improving the representation of spatially varying precipitation and soil wetness, 142 pp, Colorado State University, Fort Collins, CO.
  28. Mekonnen, A., and W.B. Rossow, 2011: The interaction between deep convection and easterly waves tropical North Africa: A weather state perspective. J. Climate, 24, 4276-4294.
  29. Morrison, H. and J. A. Milbrandt, 2011: Comparison of a two-moment bulk microphysics schemes in idealized supercell thunderstorm simulations. Mon. Wea. Rev., 139, 1103-1130.
  30. Morrison, H., and W. W. Grabowski, 2011: Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment. Atmos. Chem. Phys., 11, 10503-10523, doi:10.5194/acp-11-10503-2011.
  31. Morrison, H., P. Zuidema, G. McFarquhar, A. Bansemer, and A. J. Heysmfield, 2011: Snow microphysical observations in shallow mixed-phase and deep frontal Arctic cloud systems. Q. J. Roy. Meteor. Soc., 137, 1589-1601, doi:10.1002/qj.840.
  32. Morrison, H., P. Zuidema, A. S. Ackerman, A. Avramov, G. deBoer, J. Fan, A. M. Fridlind, T. Hashino, J. Y. Harrington, Y. Luo, M. Ovchinnikov, and B. Shipway, 2011: Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during SHEBA. J. Adv. Mod. Earth Systems, Vol. 3, M06003, 23pp., doi:10.1029/2011MS000066.
  33. Palmer, B., A. Koontz, K. Schuchardt, R. Heikes, and D. A. Randall, 2011: An IO API for a global cloud resolving model. Environmental Modeling and Software, 26, 1725-1735.
  34. Pritchard, M. S., M. W. Moncrieff and R. C. J. Somerville, 2011: Orogenic propagating precipitation systems over the United States in a global climate model with embedded explicit convection. J. Atmos. Sci., 68, 1821-1840, doi:10.1175/2011JAS3699.1.
  35. Randall, D. A., 2011: Should climate models be open-source?, IEEE Software, 28, 6, 63-64.
  36. Ray, P., C. Zhang, M. W. Moncrieff, J. Dudhia, J. M. Caron, L. R. Leung and C. Bruyere, 2011: The role of the mean state on the initiation of the Madden-Julian Oscillation. Clim. Dyn., 36, 161-184. DOI:10.1007/s00382-010-0859-2
  37. Reid, J. S., P. Xian, E. J. Hyer, M. K. Flatau, E. M. Ramirez, F. J. Turk, C. R. Sampson, C. Zhang, E. M. Fukada, and E. D. Maloney, 2011: Multi-scale meteorological conceptual model of observed active fire hotspot activity and smoke optical depth in the Maritime Continent. Atmos. Chem. Phys., 12, 2117-2147.
  38. Schwalm, C.R., C.A. Williams, K. Schaefer, I. Baker, G.J. Collatz, 2011: Does terrestrial drought explain global atmospheric CO2 flux anomalies induced by ENSO? Biogeosciences, 8, 2493-2506, doi:10.5194/bg-8-2493-2011.
  39. Shaman, J., and E. D. Maloney, 2011: Shortcomings in climate model simulations of the ENSO-Atlantic hurricane teleconnection. Clim. Dyn., 38, 1973-1988.
  40. Small, R. J., S.-P. Xie, E. D. Maloney, S. P. deSzoeke, and T. Miyama, 2011: Intraseasonal Variability in the far-east Pacific: Investigation of the role of air-sea coupling in a regional coupled model. Clim. Dyn., 36, 867-890, DOI 10.1007/s00382-010-0786-2.
  41. Silvers, L.G., W.H. Schubert, 2011: A theory of topographically bound balanced motions and application to atmospheric low-level jets., J. Atmos. Sci., 69, 2878-2891.
  42. Somerville, R. C. J., 2011: A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. Science, 331, 149-150.
  43. Somerville, R. C. J., 2011: How much should the public know about climate science? Climatic Change, 104, 509-514.
  44. Somerville, R. C. J., 2011: Science in the Age of Computer Simulation. Science, 331, 149-150.
  45. Somerville, R. C. J., 2011: The co-evolution of climate models and the Intergovernmental Panel on Climate Change. In: The Development of Atmospheric General Circulation Models: Complexity, Synthesis and Computation. [Donner, L., W. Schubert and R. Somerville, (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 225-252.
  46. Somerville, R. C. J., and S. J. Hassol, 2011: Communicating the science of climate change. Physics Today, 64, 10, 48-53.
  47. Stockli, R., T. Rutishauser, I. Baker, C. Korner, M. A. Liniger, and A.S. Denning, 2011: A Global Reanalysis of Vegetation Phenology. J. Geophys. Res., 116, G03020, doi:10.1029/2010JG001545.
  48. Svensson G., A.A.M. Holtslag, V. Kumar, T. Mauritsen, G. J. Steeneveld, W. M. Angevine, E. Bazile, A. Beljaars, E.I.F. de Bruijn, A. Cheng, L. Conangla, J. Cuxart, M. Ek, M. J. Falk, F. Freedman, H. Kitagawa, V. E. Larson, A. Lock, J. Mailhot, V. Masson, S. Park, J. Pleim, S. Soderberg, M. Zampieri, and W. Weng, 2011: Evaluation of the diurnal cycle in the atmospheric boundary layer over land as represented by a variety of single column models — the second GABLS experiment. Boundary Layer Meteorology, 140, 177-206, DOI 10.1007/s10546-011-9611-7.
  49. Teixeira, J., S. Cardoso, M. Bonazzola, J. Cole, A. DelGenio, C. DeMott, C. Franklin, C. Hannay, C. Jakob, Y. Jiao, J. Karlsson, H. Kitagawa, M. Koehler, A. Kuwano-Yoshida, C. LeDrian, A. Lock, M. J. Miller, P. Marquet, J. Martins, C. R. Mechoso, E. v. Meijgaard, I. Meinke, P. M. A. Miranda, D. Mironov, R. Neggers, H. L. Pan, D. A. Randall, P. J. Rasch, B. Rockel, W. B. Rossow, B. Ritter, A. P. Siebesma, P. Soares, F. J. Turk, P. Vaillancourt, A. Von Engeln, M. Zhao, 2011: Tropical and sub-tropical cloud transitions in weather and climate prediction models: The GCSS/WGNE Pacific Cross-section Intercomparison (GPCI). J. Climate, 24, 5223-5256.
  50. Van Roekel, L. P., and E. D. Maloney, 2011: Mixed layer modeling in the east Pacific warm pool during 2002. Climate Dynamics, 38, 2559-2573
  51. vanZanten, M. C., B. B. Stevens, L. Nuijens, A. P. Siebesma, A. Ackerman, F. Burnet, A. Cheng, F. Couvreux, H. Jiang, M. Khairoutdinov, Y. Kogan, D. C. Lewellen, D. Mechem, K. Nakamura, A. Noda, B. J. Shipway, J. Slawinska, S. Wang and A. Wyszogrodzki, 2011: Controls on precipitation and cloudiness in simulations of trade-wind cumulus as observed during RICO. J. Adv. Model. Earth Syst., 3, M06001, doi:10.1029/2011MS000056.
  52. Wang, M., S. J. Ghan, R. C. Easter, M. Ovchinnikov, X. Liu, E. Kassianov, Y. Qian, W. Gustafson, V. E. Larson, D. Schanen, M. Khairoutdinov and H. Morrison, 2011: The multi-scale aerosol-climate model PNNL-MMF: Model description and evaluation. Geoscientific Model Development, 4, 137-168.
  53. Wang, M., S. J. Ghan, R. C. Easter, M. Ovchinnikov, X. Liu, E. Kassianov, Y. Qian, R. Marchand, and H. Morrison, 2011: Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF. Atmos. Chem. & Phys., 11, 5431-5455, doi:10.5194/ACP-11-5431-2011.
  54. Wang, M., S. Ghan, R. Easter, M. Ovchinnikov, X. Liu, E. Kassianov, Y. Qian, W. I. Gustafson Jr., V. E. Larson, D. P. Schanen, M. Khairoutdinov and H. Morrison. 2011 The multi-scale aerosol- climate model PNNL-MMF: model description and evaluation. Geoscientific Model Development 4(1), 137-168.
  55. Wehner, M. F., L. Oliker, J. Shalf, D. Donofrio, L. A. Drummond, R. Heikes, S. Kamil, C. S. Konor, N. Miller, H. Miura, M. Mohiyuddin, D. A. Randall, and W.-S. Yang, 2011: Hardware/Software Co-design of Global Cloud System Resolving Models. J. Adv. Modeling Earth Syst., 3, DOI: 10.1029/2011MS000073.
  56. Wu, C.-M., and A. Arakawa, 2011: Inclusion of Surface Topography into the Vector Vorticity Equation Model (VVM). J. Adv. Model. Earth Syst., 3, 13 pp.
  57. Yamaguchi, T., D. A. Randall, and M. F. Khairoutdinov, 2011: Cloud Modeling Tests of the ULTIMATE-MACHO Scalar Advection Scheme. Monthly Weather Rev., 139, 3248-3264
  58. Yu, W., W. Han, D. Gochis, E.D Maloney, and S.-P. Xie, 2011: Observations of eastward propagation of atmospheric intraseasonal oscillations from the Pacific to the Atlantic. J. Geophys. Res., 116, D02101, doi:10.1029/2010JD014336.
2010
  1. Baker, I.T., A.S. Denning and R. Stockli, 2010: North American Gross Primary Productivity: Regional Characterization and Interannual Variability. Tellus, 62B, 533-549.
  2. Betsill, M., 2010: The Crisis of Global Environmental Governance: Towards a New Political Economy of Sustainability. Perspectives on Politics, 8, 403-404.
  3. Peter A Bogenschutz, Steven K Krueger, Marat Khairoutdinov, 2010: Assumed Probability Density Functions for Shallow and Deep Convection. J. Adv. Model. Earth Syst., Vol. 2, Art. #10, 24 pp.
  4. Bowman, T. E., Maibach, E., Mann, M. E., Somerville, R. C. J., Seltser, B. J., Fischhoff, B., Gardiner, S. M., Gould, R. J., Leiserowitz, A., Yohe, G., 2010: Time to Take Action on Climate Communication. Science, 330, 1044-1044.
  5. Bretherton, C., J. Uchida and P. N. Blossey, 2010: Slow manifolds and multiple equilibria in stratocumulus-capped boundary layers. J. Adv. Model. Earth Syst., Vol. 2, Art.#14, 20 pp., doi:10.3894/JAMES.2010.2.14
  6. Brunet, G., M. Shapiro, B. Hoskins, M. Moncrieff, R. Dole, G.Kiladis, B. Kirtman, A. Lorenc, B. Mills, R. Morss, S. Polavarapu, D. Rogers, J, Schaake, and J. Shukla, 2010: Weather and Climate Communities to Advance Subseasonal-to-Seasonal Prediction.. Bull. Amer. Meteor. Soc., 91, 1397-1406.
  7. Canetto, S. S., A. Byars-Winston, (editors), 2011, Special issue on "Accomplishments and challenges for a diversity of women in STEM.", Journal of Women and Minorities in Science and Engineering.
  8. Cheng A., K.-M. Xu, and B. Stevens, 2010: Effects of resolution on simulation of boundary-layer clouds. J. Adv. Modeling Earth Systems, Vol. 2, Art. #3, 21 pp., doi:10.3894/JAMES.2010.2.3.
  9. D’Amico, R., & Canetto, S. S. (2010). Similarities and differences in women’s and men’s publication and citation record among academic psychologists. Journal of Women and Minorities in Science and Engineering, 16, 343-361.
  10. DeMott, C., and D. A. Randall, 2010: Implied ocean heat transports in the standard and super-parameterized Community Atmosphere Models. J. Climate, 23, 1908-1928.
  11. DeMott, P.J., A. J. Prenni, X. Liu, M. D. Petters, C H. Twohy, M. S. Richardson, T. Eidhammer, S. M. Kreidenweis, and D. C. Rogers, 2010: Predicting global atmospheric ice nuclei distributions and their impacts on climate, Proc. Natnl. Acad. Sci., 107 (25), 11217-11222.
  12. Dirmeyer, P., B. A. Cash, J. L. Kinter III, T. Jung, L. Marx, M. Satoh, C. Stan, H. Tomita, P. Towers, N. Wedi, D. Achuthavarier, J. M. Adams, E. Altshuler, B. Huang, E K. Jin, 2010: Simulating the hydrologic diurnal cycle in global climate models: Resolution versus parameterization. COLA Tech. Rep., 304, 45pp.
  13. Eidhammer, T., P. J. DeMott, D. C. Rogers, A. J. Prenni, M. D. Petters, C. H. Twohy, D. C. Rogers, J. Stith, A. Heymsfield, Z. Wang, S. Haimov, J. French, K. Pratt, K. Prather, S. Murphy, J. Seinfeld, R. Subramanian, and S. M. Kreidenweis 2010: Ice initiation by aerosol particles: Measured and predicted ice nuclei concentrations versus measured ice crystal concentrations in an orographic wave cloud. J. Atmos. Sci., 67, 24172436. doi: 10.1175/2010JAS3266.1, 2010.
  14. Gettelman, A., X. Liu, S. J. Ghan, H. Morrison, S. Park, A. J. Conley, S. A. Klein, J. Boyle, D. L. Mitchell, and J.-L. F. Li, 2010: Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model. J. Geophys. Res., 115, D18216, doi:10.1029/2010JD013797.
  15. Grabowski, W. W., J. Slawinska, H. Pawlowska, and A. A. Wyszogrodzki, 2010: Macroscopic impacts of cloud and precipitation processes in shallow convection. Acta Geophysica (EULAG topical issue, 59, 1184-1204.
  16. Grabowski, W. W., O. Thouron, J. P. Pinty, and J. L. Brenguier, 2010: A Hybrid Bulk-Bin Approach to Model Warm-Rain Processes. Journal of the Atmospheric Sciences, 67, 385-399.
  17. Hartten, L. M., and M. A. LeMone, 2010: The Evolution and Current State of the Atmospheric Sciences "Pipeline". Bull. Amer. Meteor. Soc., 91, 942-956.
  18. Hendricks, E. A. and W. H. Schubert, 2010: Adiabatic Rearrangement of Hollow PV Towers. J. Adv. Model. Earth Syst., Vol. 2, Art. #8, 19 pp., doi:10.3894/JAMES.2010.2.8
  19. Heymsfield, A. J., C. Schmitt, A. Bansemer, and C. H. Twohy, 2010: Improved representation of ice particle masses based on observations in natural clouds. J. Atmos. Sci., 67, 3303-3318.
  20. Heymsfield, A. J.,and C. D. Westbrook, 2010: Advancements in the estimation of ice particle fall speeds using laboratory and field measurements. J. Atmos. Sci., 67, 2469--2482.
  21. Hosoi, S. A. (2010). Culture matters: Factors affecting the persistence of European American and Asian women in two U.S. engineering doctoral programs. Doctoral Dissertation, Colorado State University, Fort Collins, CO. Advisor: Silvia Sara Canetto, Ph.D.
  22. Jung, J.-H., and A. Arakawa, 2010: Development of a quasi-3d multiscale modeling framework: motivation, basic algorithm and preliminary results. J. Adv. Model. Earth Syst., 2, #11, 31pp., doi:10.3894/JAMES.2010.2.11.
  23. Khairoutdinov, M. F., S. K. Krueger, C.-H. Moeng, P. Bogenschutz, and D. A. Randall, 2010: Large-eddy simulation of maritime deep tropical convection. J. Adv. Modeling Earth Syst., Vol 1, Art. #15, 13 pp., doi:10.3894/JAMES.2009.1.15.
  24. Lane, T.P., and M.W. Moncrieff, 2010: Characterization of momentum transport associated with organized moist convection and gravity waves. J. Atmos Sci., 76, 3208-3225.
  25. Lappen, C.-L., D. A. Randall, and T. Yamaguchi, 2010: A higher-order closure model with an explicit PBL top. J. Atmos. Sci., 67, 834-850.
  26. Lessner, L (2010). Career goals, challenges and resources for women in Atmospheric Science. Masters thesis, Colorado State University, Fort Collins, CO. Advisor: David MacPhee; Co-Advisor: Silvia Sara Canetto, Ph.D.
  27. Luo, Y., Y. Wang, H. Wang, Y. Zheng, and H. Morrison, 2010: Modeling convective-stratiform precipitation processes on a Meiyu front with the WRF model: Comparison with observations and sensitivity to cloud microphysics parameterizations. J. Geophys. Res., 115, D18117, doi:10.1029/JD013873.
  28. 2. MacPhee, D. & Canetto, S. S. (2010). The underrepresentation of women and ethnic minorities in atmospheric sciences: Strategies to fix the leaky pipeline. Manuscript in progress.
  29. MacPhee, D. & Canetto, S. S. (2010). The underrepresentation of women and ethnic minorities in geosciences: Has the picture changed? Manuscript submitted to Journal of Geoscience Education.
  30. Maloney, E. D., A. H. Sobel , and W. M. Hannah, 2010: Intraseasonal variability in an aquaplanet general circulation model. J. Adv. Modeling. Earth. Sys, 2, Art. #5, 24 pp.
  31. Moeng, C.-H., P. P. Sullivan, M. F. Khairoutdinov, and D. A. Randall, 2010: A Mixed Scheme for Subgrid-Scale Fluxes in Cloud-Resolving Models. J. Atmos. Sci., 67, 3692-3705.
  32. Moncrieff, M.W., 2010: The multiscale organization of moist convection and the intersection of weather and climate. In "Climate Dynamics: Why does Climate Vary?" D. Sun and F. Bryan, Eds., AGU Geophysical Monograph, 189, pp. 3-26.
  33. Morrison, H., and W. W. Grabowski, 2010: An improved representation of rimed snow and conversion to graupel in a mutlicomponent bin microphysics scheme. J. Atmos. Sci., 67, 1337-1360.
  34. Randall, D. A., 2010: The Evolution of Complexity in General Circulation Models. In The Development of Atmospheric General Circulation Models: Complexity, Synthesis, and Computation, L. Donner, W. Schubert, and R. C. J. Somerville, Eds., Cambridge University Press, 272 pp.
  35. Salzmann, M., Ming, Y. Golaz, J. C. Ginoux, P. A. Morrison, H. Gettelman, A. Kramer, M. Donner, L. J., 2010: Two-moment bulk stratiform cloud microphysics in the GFDL AM3 GCM: description, evaluation, and sensitivity tests. Atmospheric Chemistry and Physics, 10, 8037-8064.
  36. Schubert, W. H. and B. D. McNoldy, 2010: Application of the Concepts of Rossby Length and Rossby Depth to Tropical Cyclone Dynamics. J. Adv. Model. Earth Syst., Vol. 2, Art. #7, 13 pp., doi:10.3894/JAMES.2010.2.7
  37. Schuh, A.E., A.S. Denning, K.D. Corbin, I.T. Baker, M. Uliasz, N. Parazoo, A.E. Andrews, and D.E.J. Worthy, 2010: A regional high-resolution carbon flux inversion of North America for 2004. Biogeosciences, 7, 1625-1644, doi:10.5194/bg-7-1625-2010.
  38. Schwalm, C. R., and Coauthors, 2010: A model-data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research-Biogeosciences, 115.
  39. Shwalm, C.R., and 46 coauthors, 2010: A model-data intercomparison of CO2 exchanges across North America: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research, 115, G00H05, doi:10.1029/2009JG001229.
  40. Shen, B.-W., W.-K. Tao, and B. Green, 2010: Coupling NASA Advanced Multi-Scale Modeling and Concurrent Visualization Systems for Improving Predictions of Tropical High-Impact Weather (CAMVis), Computing in Science and Engineering, 23 Nov. 2010. IEEE computer Society Digital Library. IEEE Computer Society
  41. Shen, B.-W., W.-K. Tao, and M.-L. Wu, 2010: African Easterly Waves in 30-day High-resolution Global Simulations: A Case Study during the 2006 NAMMA Period. Geophys. Res. Lett., 37, L18803, doi:10.1029/2010GL044355.
  42. Shen, B.-W., W.-K. Tao, W. K. Lau, R. Atlas, 2010: Predicting Tropical Cyclogenesis with a Global Mesoscale Model: Hierarchical Multiscale Interactions During the Formation of Tropical Cyclone Nargis (2008) . J. Geophys. Res.,115, D14102, doi:10.1029/2009JD013140.
  43. Skamarock, W.C. and M. Menchaca, 2010: Conservative Transport Schemes for Spherical Geodesic Grids: High-Order Reconstructions for Forward-In-Time Schemes. Mon. Wea. Rev., 138, 4497-4508.
  44. Tselioudis, G., and W.B. Rossow, 2010: Time scales of variability of the tropical atmosphere derived from cloud-defined weather states. J. Climate, 24, 602-608, doi:10.1175/2010JCLI3574.1.
  45. Yamaguchi, T., 2010: Cloud-top entrainment analyzed with a Lagrangian parcel tracking model in large-eddy simulations. Ph.D. Dissertation, Department of Atmospheric Science, Colorado State University, 115 pp.
  46. Yamaguchi, T., D. A. Randall, and M. F. Khairoutdinov, 2010: Cloud modeling tests of the ULTIMATE-MACHO scalar advection scheme. Mon. Wea. Rev., 139, 3248-3264.
2009
  1. Ahlgrimm, M., D. A. Randall, and M. Kohler, 2009: Evaluating cloud frequency of occurrence and top height using space-borne lidar observations. Mon. Wea. Rev., 137, 4225-4237.
  2. Arakawa, A. and Celal S. Konor, 2009: Unification of the anelastic and quasi-hydrostatic systems of equations. Mon. Wea, Rev., 137, 710-726.
  3. Benedict, J. and D.A. Randall, 2009: Structure of the Madden-Julian Oscillation in the Superparameterized CAM, J. Atmos. Sci., 66, 3277-3296.
  4. Blossey, P. N., M. C. Wyant, and C. S. Bretherton, 2009: Subtropical low cloud response to a warmer climate in a superparameterized climate model. Part II. Column modeling with a cloud resolving model. J. Adv. Modeling Earth Systems., 1, Art #8, 14pp.
    5. Cheng A., and K.-M. Xu, 2009: A pdf-based microphysics parameterization considering subgrid-scale variabilities for simulation of drizzling boundary-layer clouds. J. Atmos. Sci., 66, 2317-2334.
  5. Conrad, S., Canetto, S. S., MacPhee, D., & Farro, S. (2009). What attracts high-achieving, socioeconomically-disadvantaged students to the physical sciences and engineering? College Student Journal, 43(4) Part B, 1359-1369.
  6. Corbin, K.D., A.S. Denning, E.Y. Lokupitya, A.E. Schuh, N.L. Miles, K.J. Davis, S. Richardson, I.T. Baker, 2009: Assessing the Impact of Crops on Regional CO2 Fluxes and Atmospheric Concentrations. Tellus, 62B, 521-532.
  7. Finnigan. J. J., R. H. Shaw, and E. G. Patton: 2009, Turbulent structure above a vegetation canopy. J. Fluid Mech., 637, 387-424.
  8. Hosoi, S. A., and S. S. Canetto, 2009: Constraints and choices of professional married women who quit careers and head home. Psychology of Women Quarterly, 33, 366-367.
  9. Huang. J. P., X. Lee, and E. G. Patton: 2009, Dissimilarity of scalar transport in the convective boundary layer in inhomogeneous landscapes. Boundary-Layer Meteorology, 130, 327-345.
  10. Khairoutdinov, K., S. K. Krueger, C.-H. Moeng, P. A. Bogenschutz and D. A. Randall, 2009: Large-Eddy Simulation of Maritime Deep Tropical Convection. J. Adv. Modeling Earth Sys., 1, Issue 4, DOI: 10.3894/JAMES.2009.1.15
  11. Kim, D. and K. Sperber, W. Stern, D. Waliser, I.-S. Kang, E. Maloney, W. Wang, K. Weickmann. J. Benedict, M. Khairoutdinov, M.-I. Lee, R. Neale, M. Suarex, K. Thayer-Calder, and G. Zhang, 2009: Application of MJO Simulation Diagnostics to Climate Models. J. Climate, 22, 6413-6436.
  12. Klein, S., and Coauthors, 2009: Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment, Part 1: Single-layer cloud. Q. J. Roy. Meteor. Soc., 641, 1003-1019
  13. Konor, C. S., G. C. Boezio, C. R. Mechoso and A. Arakawa, 2009: Parameterization of PBL Processes in an Atmospheric General Circulation Model: Description and Preliminary Assessment. Mon. Wea. Rev., 137, 1061-1082.
  14. Lappen, C-L., D. A. Randall, and T. Yamaguchi, 2009: A higher-order closure model with an explicit PBL top. J. Atmos. Sci, 67, 834-850.
  15. Lee, M.-I., I. Choi, W.-K. Tao, S. D. Schubert, and I.-K. Kang, 2009: Mechanisms of diurnal precipitation over the United States Great Plains: A cloud-resolving model simulations. Climate Dynamics, 32, doi:10. 1007/s00382-009-0531-x.
  16. Li, J.-L. F. . J. Teixeira, D. E. Waliser, C. Woods, D. G. Vane. J. Bacmeister. J. –D. Chern, B.-W. Shen, W.-K. Tao, A. M. Tompkins, 2009: A comparison of cloud vertical structure between CloudSat, the ECMWF analysis and two climate prediction models along the GPCI transect over the Northeastern Pacific. Geophys. Res. Letters (submitted).
  17. Maloney, E. D., 2009: The moist static energy budget of a composite tropical intraseasonal oscillation in a climate model. J. Climate,22, 711-729.
  18. Marchand, R. . J. Haynes, G. G. Mace, T. Ackerman, and G. Stephens, 2009: A comparison of simulated cloud radar output from the multiscale modeling framework global climate model with CloudSat cloud radar observations. J. Geophys. Res., 114, D00A20, doi:10. 1029/2008JD009790.
  19. Matsui, T., X. Zeng, W.-K. Tao, H. Masunaga, W. S. Olson, and S. Lang, 2009: Evaluation of long-term cloud-resolving model simulations using satellite radiance observations and multi-frequency satellite simulators. J. Atmos. Oce. Tech., 26, 1261-1274.
  20. McCrary, R. and D.A. Randall, 2009: Great Plains Drought in Simulations of the Twentieth Century. J. Climate, 23, 2178-2196.
  21. Moeng, C.-H., M. A. LeMone , M. Khairoutdinov , S. Krueger , P. Bogenschutzc and D. A. Randall, 2009: The tropical marine boundary layer under a deep convection system: a large-eddy simulation study. J. Adv. Modeling Earth Syst., Vol. 1, doi:10.3894/JAMES.2009.1.16.
  22. Morrison, H. and Coauthors, 2009: Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment, Part 2: Multi-layer cloud. Q. J. Roy. Meteor. Soc., DOI: 10.1002/qj.415
  23. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes. Mon. Wea. Rev., 137, 991-1007.
  24. Patton, E. G. and G. G. Katul: 2009, Turbulent pressure and velocity perturbations induced by gentle hills covered with sparse and dense canopies. Submitted to Boundary-Layer Meteorology.
  25. Pincus, R. and B. Stevens, 2009: Monte Carlo spectral integration: A consistent approximation for radiative transfer in large eddy simulations. J. Adv. Model. Earth Sys., 1, 9pp.
  26. Pritchard, M. S., and R. C. J. Somerville, 2009: Empirical orthogonal function analysis of the diurnal cycle of precipitation in a multi-scale climate model. Geophys. Res. Lett., 36, doi: doi:10. 1029/2008GL036964.
  27. Pritchard, M. S., and R. C. J. Somerville, 2009: Assessing the diurnal cycle of precipitation in a multi-scale climate model. J. Adv. Model. Earth Sys., 1, Art. No. 16.
  28. Quaas. J., S. Bony, W. Collins, L. Donner, A. Illingworth, A. Jones, U. Lohmann, M. Satoh, S. E. Schwartz, W.-K. Tao, and R. Wood, 2009: Clouds in the Perturbed Climate System, Current Understanding and Quantification of Clouds in the Changing Climate System and Strategies for Reducing Critical Uncertainties, MIT Press, Chapter 24, 557-573.
  29. Schmitt, C. G., A. J. Heymsfield, 2009: The size distribution and mass weighted terminal velocity of low-latitude tropopause cirrus crystal populations. J. Atmos. Sci., 66, 2013-2028.
  30. Schubert, W. H., L. Silvers, M. Masarik, A. Gonzalez, 2008: A filtered model of tropical wave motions. J. Adv. Modeling Earth Syst.
  31. Schubert, W. H., M. T. Masarik, L. G. Silvers, and A. O. Gonzalez, 2008: An analytic study of filtered tropical flows. J. Adv. Modeling Earth Systems, in press.
  32. Sobel, A. H., E. D. Maloney, Bellon, G., and D. M. Frierson, 2009: Surface fluxes and tropical intraseasonal variability: a reassessment. J. Adv. Modeling Earth Systems, 2, #2.
  33. Stan, C., M. Khairoutdinov, C. A. DeMott, V. Krishnamurthy, D. M. Straus, D. A. Randall, J. L. Kinter III, and J. Shukla, 2009: An ocean-atmosphere climate simulation with an embedded cloud resolving model. Geophys. Res. Lett., 37, L01702, doi:10.1029/2009GL040822
  34. Tao, W.-K., and M. W. Moncrieff, 2009: Multiscale Cloud-System Modeling. Rev. Geophys., 47, 1-41.
  35. Tao, W.-K., J.-D. Chern, R. Atlas, D. Randall, M. Khairoutdinov, J.-L. Li, D. E. Waliser, A. Hou, X. Lin, C. Peters-L., W. Lau, J. Jiang, and J. Simpson, 2009: A Multiscale Modeling System - Developments, Applications, and Critical issues. Bull. Amer. Meteor. Soc., 90, 515-534.
  36. Thayer-Calder, K. and D.A. Randall, 2009: The Role of Convective Moistening in the Madden-Julian Oscillation. J. of Atmos. Sci., 66, 3297-3312.
  37. Toy, M. D., and D. A. Randall, 2009: Design of a nonhydrostatic atmospheric model based on a generalized vertical coordinate. Mon. Wea. Rev., 137, 2305–2330.
  38. Tromeur, E., and W. B. Rossow, 2009: Interaction of tropical deep convection with the large-scale circulation in the Madden-Julian oscillation. J. Climate, 23, 1837-1853.
  39. Wang, D., X. Li, W.-K. Tao, Y. Liu and H. Zhou, 2009: Torrential rainfall processes associated with a landfall of severe tropical storm Bills (2006): A cloud-resolving modeling study. Atmos. Res., 91, 94-104.
  40. Wyant, M. C., C. S. Bretherton, and P. N. Blossey, 2009: Understanding subtropical low cloud response to a warmer climate in a superparameterized climate model. J. Adv. Modeling Earth Systems, 1, Art #7, 11pp.
  41. Xu, K.-M., A. Cheng, M. Zhang, and B. Stevens, 2009:Cloud-resolving simulation of low cloud feedback to an increase in sea surface temperature. J. Climate, 67, 730-748.
  42. Zeng, X., W.-K. Tao, M. Zhang, A. Y. Hou, S. Xie, S. Lang, X. Li, D. Starr, X. Li, and J. Simpson, 2009: The indirect effect of ice nuclei on atmospheric radiation. J. Atmos. Sci., 66, 41-61.
  43. Zhang, Y., B. Stevens, B. Medeiros and M. Ghil, 2009: Low-cloud fraction, lower-tropospheric stability and large-scale divergence. J. Climate, 22, 4827-4844.
2008
  1. Baker, I. T., L. Prihodko, A. S. Denning, M. Goulden, S. Miller, and H. R. da Rocha, 2008: Seasonal drought stress in the Amazon: Reconciling models and observations. J. Geophys. Res., 113, G00B01, doi:10. 1029/2007JG000644.
  2. Burt, M.A., 2008: Paleo-feedbacks in the hydrological and energy cycles in the community climate system model 3. M.S. Thesis, Department of Atmospheric Science, Colorado State University.
  3. Eidhammer, T., DeMott, P. J., and Kreidenweis, S. M. (2009), A comparison of heterogeneous ice nucleation parameterizations using a parcel model framework. J. Geophys. Res., 114, D06202, doi:10.1029/2008JD011095.
  4. Elsaesser, G. S. and C. K. Kummerow, 2008: Towards a fully parametric retrieval of the nonraining parameters over the global oceans. J. Appl. Meteor. Climatol., 47, 1599-1618.
  5. Fan. J., R. Zhang, W.-K. Tao, K. I. Mohr, 2008: Aerosol radiative effects on deep convective clouds and associated radiative forcing. J. Geophy. Res., 113, D08209, doi:10. 1029/2007JD009257.
  6. Gettelman, A., H. Morrison, and S. J. Ghan, 2008: A new two-moment stratiform cloud microphysics scheme in the Community Atmosphere Model (CAM3), Part II: Single column and global model results. J. Climate, 21, 3660-3679.
  7. Grabowski, W. W., and H. Morrison, 2008: Toward the mitigation of spurious cloud-edge supersaturation in cloud models. Mon. Wea. Rev., 136, 1224-1234.
  8. Guo, H., Y. Liu, P. H. Daum, G. I. Senum, and W.-K. Tao, 2008: Characteristics of vertical velocity in marine stratocumulus: Comparison of LES simulations with observations. Environ. Res. Lett., 3, 045020, doi:10. 1088/1748-9326/3/4/045020.
  9. Gustafson, W. I. Jr., L. K. Berg, R. C. Easter, and S. J. Ghan, 2008: The Explicit-Cloud Parameterized-Pollutant hybrid approach for aerosol-cloud interactions in multiscale modelling framework models, Environ. Res. Lett., 3, doi:10. 1088/1748-9326/3/2/025005.
  10. Jung, J.-H., and A. Arakawa, 2008: A three-dimensional anelastic model based on the vector vorticity equation. Mon. Wea. Rev., 136, 276-294.
  11. Khairoutdinov, M, C. A. Demott, and D. A. Randall, 2008: Evaluation of the simulated interannual and subseasonal variability in an AMIP-style simulation using the CSU Multi-scale Modeling Framework. J. Climate, 21, 413-431.
  12. Li, J.-L. F., D. Waliser, C. Woods. J. Teixeira. J. Bacmeister. J. Chern, B-W Shen, A. Tompkins, W.-K. Tao, M. Kohler, 2008: Comparisons of Satellite Liquid Water Estimates with ECMWF and GMAO Analyses, 20th Century IPCC AR4 Climate Simulations, and GCM Simulations. Geophys. Res. Lett., 35, L19710, doi:10. 1029/2008GL035427.
  13. Li, X., W.-K. Tao, A. Khain. J. Simpson and D. Johnson, 2008: Sensitivity of a cloud-resolving model to bulk and explicit-bin microphysics schemes: Part I: Comparisons. J. Atmos. Sci., 66, 3-21.
  14. Li, X., W.-K. Tao, A. Khain. J. Simpson and D. Johnson, 2008: Sensitivity of a cloud-resolving model to bulk and explicit-bin microphysics schemes:: Part II: Cloud microphysics and storm dynamics interactions. J. Atmos. Sci., 66, 22-40.
  15. Liu, C., and M. W. Moncrieff, 2008: Explicitly simulated tropical convection over idealized warm pools. J. Geophys. Res., 113, D21121, doi:10. 1029/2008JD010206
  16. Medeiros, B. P., B. Stevens, Held, I. M., M. Zhao, D. L. Williamson. J. G. Olson, and C. S. Bretherton, 2008: Aquaplanets, climate sensitivity and low clouds. J. Climate, 21, 4974-4991.
  17. Morrison, H. and W. W. Grabowski, 2008: Modeling supersaturation and sub-grid mixing with two-moment warm bulk microphysics. J. Atmos. Sci., 65, 792-812.
  18. Morrison, H., and A. Gettelman, 2008: A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model (CAM3), Part I: Description and numerical tests. J. Climate, 21, 3642-3659.
  19. Morrison, H., and W. W. Grabowski, 2008: A novel approach for representing ice microphysics in models: Description and tests using a kinematic framework. J. Atmos. Sci., 65, 1528-1548.
  20. Norris, P. M., L. Oreopooulos, A. Hou, W.-K. Tao, and X. Zeng, 2008: Representation of 3D heterogeneous cloud fields using copulas: Theory for water clouds. Q. J. Roy. Meteor. Soc., 134, 1843-1864.
  21. Phillips, V. T. J., DeMott, P., and C. Andronache, 2008: An empirical parametrisation of heterogeneous ice nucleation for multiple chemical species of aerosol, J. Atmos. Sci., 65, 2757-2783.
  22. Shige, S., Y. N. Takayabu, and W.-K. Tao, 2008: Spectral retrieved of latent heating profiles from TRMM PR data. Part III: Moistening estimates over the tropical ocean regions. J. Applied Meteor. Climatol., 47, 620-640.
  23. Slawinska, J., W. W. Grabowski, H. Pawlowska, and A. A. Wyszogrodzki, 2008: Optical properties of shallow convective clouds diagnosed from a bulk-microphysics large-eddy simulation. J. Climate, 21, 1639-1647.
  24. Sobel, A. H., E. D. Maloney, Bellon, G., and D. M. Frierson, 2008: The role of surface heat fluxes in tropical intraseasonal oscillations. Nature Geoscience, 1, 653 - 657.
  25. Stevens, Bjorn and Jean-Louis Brenguier, 2008: Cloud Controlling Factors -- Low Clouds, Ernst Strungmann Forum Contribution to Perturbed Clouds in the Climate System, Heintzenberg and Charslon Eds., MIT Press
  26. Stevens, Bjorn and Axel Seifert, 2008: Understanding macrophysical outcomes of microphysical choices in simulations of shallow cumulus convection. J. Meteorol. Soc. Japan, 86A, 143-162.
  27. Thayer-Calder, K., 2008: The Role of Moisture in the MJO: A Comparison of Tropical Convection Processes in the CAM and Super-Parameterized CAM. M.S. Thesis, Colorado State University.
  28. Waliser, D. E. . J. F. Li, C. Woods, R. Austin. J. Bacmeister. J. Chern, A. D. Genio. J. Jiang, Z. Kuang, H. Meng, P. Minnis, S. Platnick, W. B. Rossow, G. Stephens, S. Sun-Mack, W.-K. Tao, A. Tompkins, D. Vane, C. Walker, D. Wu, 2008: Cloud Ice: A Climate Model Challenge With Signs and Expectations of Progress. J. Geoph. Res., 114, D00A21, doi:10. 1029/2008JD010015.
  29. Yamaguchi, T., and D. A. Randall, 2008: Large-eddy simulation of evaporatively driven entrainment in cloud-topped mixed layers. J. Atmos. Sci., 65, 1481-1504.
  30. Zeng, X., 2008: The influence of radiation on ice crystal spectrum in the upper troposphere. Quart. J. Roy. Meteor. Soc., 134, 609-620.
  31. Zeng, X., W.-K. Tao and J. Simpson, 2008: A choice of prognostic variables for long-term cloud-resolving modeling. J. Meteor. Soc. Japan, 86, No. 6,.
  32. Zeng, X., W.-K. Tao, S. Lang, A. Hou, M. Zhang, and J. Simpson, 2008: On the sensitivity of atmospheric ensemble to cloud microphysics in long-term cloud-resolving model simulations. J. Meteor. Soc. Japan, Special Issue on high-resolution cloud models, 86A, 45-65.
  33. Zhang, M., and C. S. Bretherton, 2008: Mechanisms of low cloud climate feedback in idealized single-column simulations with the Community Atmospheric Model (CAM3). J. Climate, 21, 4859-4878.
  34. Zhang, Y., S. A. Klein, C. Liu, B. Tian, R. T. Marchand, J. M. Haynes, R. B. McCoy, Y. Zhang, and T. P. Ackerman, 2008: On the diurnal cycle of deep convection, high-level cloud, and upper troposphere water vapor in the Multiscale Modeling Framework. J. Geophys. Res., 113, D16105, doi:10.1029/2008JD009905.
2007
  1. Benedict, J., and D. A. Randall, 2007: Observed Characteristics of the MJO Relative to Maximum Rainfall. J. Atmos. Sci., 64, 2332-2354.
  2. D'Amico, R., P. Vermigli, and S. S. Canetto, 2007: Women as academics: The case of Italy. In K. A. Fanti (Ed.), Psychological Science: Research, theory and future directions, (pp. 11-20). Athens Institute for Education and Research, Athens, Greece.
  3. DeMott, C., and D. A. Randall, 2007: Convective precipitation variability as a tool for general circulation model analysis. J. Climate, 20, 91-112.
  4. Durran, D.R., and A. Arakawa, 2007: Generalizing the Boussinesq Approximation to Stratified Compressible Flow. Comps Rendus Mecanique, 355, 655-664.
  5. Farro, S., 2007: Narrative of gender and technology in print advertisements. Master’s Thesis, Colorado State University, Fort Collins, CO.
  6. Grabowski, W. W., 2007: Representation of turbulent mixing and buoyancy reversal in bulk cloud models. J. Atmos. Sci., 64, 3666-3680.
  7. Juang, H.-M., Tao, W.-K., Zeng, X., Shie, C.-L., Lang, S., and Simpson, J., 2007: Parallelization of the NASA Goddard Cumulus Ensemble Model for Massively Parallel Computing. Terr. Atmos. Ocean. Sci., 18.
  8. Konor, C. S., and Arakawa, A., 2007: Multi-Point Explicit Differencing (MED) for Time Integration of The Wave Equation. Mon. Wea. Rev., 135, 3862-3875.
  9. Lang, S., W.-K. Tao, R. Cifelli, W. Olson, J. Halverson, S. Rutledge, and J. Simpson, 2007: Improving simulations of convective systems from TRMM LBA: Easterly and westerly regimes. J. Atmos. Sci., 64, 1141-1164.
  10. McFarlane, S. A., and W. W. Grabowski, 2007: Optical properties of shallow tropical cumuli derived from ARM ground-based remote sensing. Geophys. Res. Lett., 34, L06808, doi:10.1029/2006GL028767.
  11. Moncrieff, M. W., M. A. Shapiro, J. M. Shapiro and F. Molteni, 2007: Collaborative research at the intersection of weather and climate. WMO Bulletin, 56, 204-211.
  12. Morrison, H., and W. W. Grabowski, 2007: Comparison of bulk and bin warm rain microphysics models using a kinematic framework. J. Atmos. Sci., 64, 2839-2861.
  13. Phillips, V. T. J., L. J. Donner, and S. T. Garner, 2007: Nucleation Processes in Deep Convection Simulated by a Cloud-System-Resolving Model with Double-Moment Bulk Microphysics. J. Atmos. Sci., 64, 738-761.
  14. Randall, D.A., R.A. Wood, S. Bony, R. Colman, T. Fichefet, J. Fyfe, V. Kattsov, A. Pitman, J. Shukla, J. Srinivasan, R.J. Stouffer, A. Sumi and K.E. Taylor, 2007: Cilmate Models and Their Evaluation. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M.C. Marquis, K.B. Averyt, M.Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996pp.
  15. Rossow, W.B., and C. Pearl, 2007: 22-year survey of tropical convection penetrating into the lower stratosphere. Geophys. Res. Lett., 34, L04803, doi: 10.1029/2006GL028635.
  16. Salzmann, M., M. G. Lawrence, V. T. J. Phillips, and L. J. Donner, 2007: Model sensitivity studies regarding the role of the retention coefficient for the scavenging and redistribution o fhighly soluble trace gases by deep convective cloud systems. Atmos. Chem. Phys., 7, 2027-2045.
  17. Toy, M. D., and D. A. Randall, 2007: Comment on the article "Vertical discretizations for compressible Euler equation atmospheric models giving optimal representation of normal modes" by Thuburn and Woollings. J. Comp. Phys., 223, 82-88.
  18. Tulich, S. N., D. A. Randall, and B. E. Mapes, 2007: Vertical-mode and cloud decomposition of large-scale convectively coupled gravity waves in a two-dimensional cloud-resolving model. J. Atmos. Sci, 64, 1220-1229.
  19. Wyant, M., et al., 2007: A Single-Column-Model Intercomparison of a heavily drizzling stratocumulus-topped boundary layer. J. Geophys. Res., 112, D24204, doi: 10.1029/2007JD008536.
2006
  1. Cheng A., and K.-M. Xu, 2006: Simulation of shallow cumuli and their transition to deep convective clouds by cloud-resolving models closures. Q. J. Roy. Meteor. Soc., 132, 359-382.
  2. Khairoutdinov, M., and D. A. Randall, 2006: High-resolution simulations of shallow-to-deep convection transition over land. J. Atmos. Sci., 63, 3421-3436.
  3. Ovtchinnikov, M., T. P. Ackerman, R. T. Marchand, and M. F. Khairoutdinov, 2006: Evaluation of the Multi-scale Modeling Framework using data from the Atmospheric Radiation Measurement program, J. Climate, 19, 1716-1729.
  4. Tao, W-K., and Coauthors, 2006: Retrieval of Latent Heating from TRMM Measurements. Bull. Amer. Meteor. Soc., 87, 1555-1572.
  5. Trent, Kimberly, 2006: Effect of the Gulf of Mexico's mixed layer depth on hurricane intensity in the warming environment. Published in Earth, Wind, Sea, and Sky: Protege Abstracts 2006. This volume contains abstracts written by each SOARS protege concerning their summer research. The publication is not peer-reviewed by an external community, but the protege's work was reviewed by Trent's mentoring team.
  6. Wyant, M. E., C. S. Bretherton. J. T. Bacmeister. J. T. Kiehl, I. M. Held, M. Zhao, S. A. Klein, and B. A. Soden, 2006: A comparison of tropical cloud properties and responses in GCMs using mid-tropospheric vertical velocity. Climate Dyn., 27, 261-279.
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