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Rosenfeld, D.(*), Zhu Y., Wang M.(*), Zheng Y., Goren T., Yu S.(*), Aerosol-driven droplet concentrations dominate coverage and water of oceanic low level clouds, Science, 363, 6427, doi:10.1126/science.aav0566, 2019.
Zhang, Z., Song, H., Ma, P.-L., Larson, V. E., Wang, M., Dong, X., and Wang, J.: Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models, Atmos. Chem. Phys., 19, 1077-1096, https://doi.org/10.5194/acp-19-1077-2019, 2019.
Zhang, H., Wang, M.(*), Guo, Z., Zhou, C., Zhou, T., Qian, Y., et al.: Low-cloud feedback in CAM5-CLUBB: Physical mechanisms and parameter sensitivity analysis. Journal of Advances in Modeling Earth Systems, 10, 2844–2864, https://doi.org/10.1029/2018MS001423, 2018.
Li, S., Wang, T. J., Huang X., Pu. X., L. MM, Chen, PL, Yang, XQ, Wang, MH, Impact of East Asian Summer Monsoon on Surface Ozone Pattern in China, Journal of Geophysical Research – Atmospheres, 123, 2, 1401-1411, doi: 10.1002/2017JD027190.
Song, H., Z. Zhang, P. Ma, S. Ghan, and M. Wang: The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models, Geoscientific Model Development, 2018, in press.
Lin, G., S. Ghan, M. Wang, P. Ma, R. Easter, M. Ovchinnikov, D. Chand, J. Fan, K. Zhang, H. Wang, and Y. Qian: A multi-scale modeling framework (MMF) model with aerosols explicitly resolved at cloud scale, Journal of Advances in Modeling Earth Systems, doi: 10.1029/2018MS001287, 2018.
Zhang, R., H. Wang, Q. Fu, A. Pendergrass, M. Wang, Y. Yang, P. Ma, and P. Rasch: Local radiative feedbacks over the Arctic based on observed short-term climate variations, Geophysical Research Letters, doi: 10.1029/2018GL077852, 2018.
Bai, H., Gong, C., Wang, M. (*), Zhang, Z., and L'Ecuyer, T.: Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmos. Chem. Phys., 18, 1763-1783, https://doi.org/10.5194/acp-18-1763-2018, 2018.
Song, H., Z. Zhang, P. Ma, S.J. Ghan, and M. Wang, 2018: An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB. J. Climate, 31, 2299–2320, https://doi.org/10.1175/JCLI-D-17-0277.1, 2018.
Zhang, K., Fu, R., Shaikh, M. J., Ghan, S., Wang, M., Leung, L. R., … Marengo, J. (2017). Influence of superparameterization and a higher-order turbulence closure on rainfall bias over Amazonia in Community Atmosphere Model version 5. J. Geophys. Res. Atmos, 122. 9879–9902, doi: 10.1002/2017JD026576.
Takahashi, H., M. Lebsock, K. Suzuki, G. Stephens, M. Wang, An Investigation of Microphysics and Sub-grid Scale Variability in Warm Rain Clouds using The A-Train Observations and A Multi-Scale Modeling Framework, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD026404, 2017.
Jiang, Y., X.-Q. Yang, X. Liu, D. Yang, X. Sun, M. Wang, A. Ding, T. Wang, and C. Fu, Anthropogenic aerosol effects on East Asian winter monsoon: The role of black carbon-induced Tibetan Plateau warming, J. Geophys. Res. Atmos., 122, 5883–5902, doi:10.1002/2016JD026237, 2017.
E. Gryspeerdt, J. Quaas, S. Ferrachat, A. Gettelman, S. Ghan, U. Lohmann, H. Morrison, D. Neubauer, D. Patridge, P. Stier, T. Takemura, H. Wang, M. Wang, K. Zhang, Constraining the instantaneous aerosol influence on cloud albedo, Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.1617765114, 2017.
C. Zhou, J. E. Penner, G. Lin, X. Liu, and M. Wang, What controls the low ice number concentration in the upper troposphere? Atmos. Chem. Phys., 16, 12411-12424, doi:10.5194/acp-16-12411-2016, 2016.
Elliott, E. J., S. Yu , G. Kooperman , H. Morrison , M. Wang and M. S. Pritchard, 2016. Sensitivity of summer ensembles of superparameterized US mesoscale convective systems to cloud resolving model microphysics and grid configuration, Journal of Advances in Modeling Earth Systems, 08, doi:10.1002/2015MS000567, 2016.
X. Huang, A. Ding, L. Liu, Q. Liu, K. Ding, X. Niu, W. Nie, Z. Xu, X. Chi, M. Wang, J. Sun, W. Guo, and C. Fu: Effects of aerosol-radiation interactions on precipitation during biomass-burning season in East China, Atmos. Chem. Phys., 16, 10063-10082, 10.5194/acp-16-10063-2016, 2016.
Huang, X., Zhou, L., Ding, A., Qi, X., Nie, W., Wang, M., Chi, X., Pet?j?, T., Kerminen, V.-M., Roldin, P., Rusanen, A., Kulmala, M., and Boy, M.: Comprehensive modelling study on observed new particle formation at the SORPES station in Nanjing, China, Atmos. Chem. Phys., 16, 2477-2492, doi:10.5194/acp-16-2477-2016, 2016
Ding, A. J., X. Huang, W. Nie, J. N. Sun, V.-M. Kerminen, T. Pet?j?, H. Su, Y. F. Cheng, X.-Q. Yang, M. H. Wang, et al., Enhanced haze pollution by black carbon in megacities in China, Geophys. Res. Lett., 43, 2873–2879, doi:10.1002/2016GL067745, 2016.
S. Ghan, M. Wang, S. Zhang, et al., Constraining Anthropogenic Aerosol Effects on Cloud Radiative Forcing Using Present-day Spatiotemporal Variability，Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.1514036113, 2016.
Zhang S., Wang, M. (*), Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C.: On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, doi:10.5194/acp-16-2765-2016, 2016.
Thayer-Calder, K., Gettelman, A., Craig, C., Goldhaber, S., Bogenschutz, P. A., Chen, C.-C., Morrison, H., H?ft, J., Raut, E., Griffin, B. M., Weber, J. K., Larson, V. E., Wyant, M. C., Wang, M., Guo, Z., and Ghan, S. J.: 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, 2015.
H. Yan, Y. Qian, C. Zhao, H. Wang, M. Wang, B. Yang, X. Liu, and Q. Fu, A new approach to modeling aerosol effects on East Asian climate: parametric uncertainties associated with emissions, cloud microphysics and their interactions, Journal of Geophysical Research, 120, 8905-8924, doi:10.1002/2015JD023442, 2015.
Suzuki, K., A. Bodas-Salcedo, M. Wang,, J. Golaz, T. Yokohata, and G. Stephens: Evaluation of the warm rain microphysical processes in global models using the CloudSat/A-Train multi-sensor satellite observations, Journal of Atmospheric Science, 72, 3996-4014, doi:10.1175/JAS-D-14-0265.1, 2015.
Ma, P., P. Rasch, M. Wang, H. Wang, S. Ghan, R. Easter, W. Gustafson, X. Liu, Y. Zhang, H. Ma: How Does Increasing Horizontal Resolution in a Global Climate Model Improve the Simulation of Aerosol-Cloud Interactions?, Geophysical Research Letters, 42, 5058-5065, doi:10.1002/2015GL064183, 2015.
Guo, Z., M. Wang*, Y. Qian, V. Larson, S. Ghan, P. Bogenschutz, A. Gettelman: Parametric behaviors of CLUBB in simulation of low clouds in the Community Atmosphere Model CAM5, Journal of Advances in Modeling Earth Systems, 7, 1005-1025, doi:10.1002/2014MS000405, 2015.
Wong, M., M. Ovchinnikov, M. Wang, Evaluation of subgrid-scale hydrometeor transport schemes using a high-resolution cloud-resolving model, Journal of Atmospheric Sciences, 72, 3715-3731, doi:10.1175/JAS-D-15-0060.1,2015.
Guo, Z., T. Zhou, M. Wang, Y. Qian: Impact of cloud radiative heating on east Asian summer monsoon circulation, Environmental Research Letters, 10, 7, 074014, doi: 10.1088/1748-9326/10/7/074014, 2015.
Qian Y., H. Yan, C. Zhao, Z. Hou, H. Wang, M. Wang, and P. Rasch: Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model Cam5, Journal of Advances in Modeling Earth Systems, 7, 382-411, doi:10.1002/2014MS000354, 2015.
Wang, M., V. Larson, S. Ghan, M. Ovchinnikov, D. Schanen, H. Xiao, X. Liu, Z. Guo, and P. Rasch: A multiscale modeling framework model (superparameterized CAM5) with a higher-order turbulence closure: Model description and low-cloud simulations, Journal of Advances in Modeling Earth Systems, 7, 484-509, doi:10.1002/2014MS000375, 2015.
Storer, R., B. M. Griffin, J. Hoft, E. Raut, V. E. Larson, M. Wang, and P. J. Rasch: Parameterizing deep convection using the assumed probability density function method, Geosci. Model Dev., 8, 1-19, doi:10.5194/gmd-8-1-2015, 2015.
Zhang, C., M. Wang, H. Morrison, R. Somerville, K. Zhang, X. Liu, and J. Li: Investigating Ice Nucleation in cirrus clouds with an aerosol-enabled multi-scale modeling framework, Journal of Advances in Modeling Earth Systems, 6, doi: 10.1002/2014MS000343, 2014.
Wang, M., X. Liu, K. Zhang, and J. Comstock: Aerosol indirect effects on cirrus through ice nucleation in CAM5 with a statistical cirrus cloud scheme, in press, Journal of Advances in Modeling Earth Systems, 6, doi:10.1002/2014MS000339, 2014.
Guo, Z, M. Wang*, Y. Qian, V. Larson, P. Bogenschutz, G. Lin, S. Ghan, M. Ovchinnikov, C. Zhao, and T. Zhou: A sensitivity analysis of cloud properties to CLUBB parameters in the Single Column Community Atmosphere Model (SCAM5), Journal of Advances in Modeling Earth Systems, 6, doi:10.1002/2014MS000315, 2014.
Wang Y., M. Wang, R. Zhang, S. Ghan, Y. Lin, J. Hu, B. Pan, M. Levy, J. Jiang, and M. Molina: Assessing the effects of anthropogenic aerosols on Pacific storm track using a multi-scale global climate model, Proceedings of the National Academy of Sciences, 111, doi: 10.1073/pnas.1403364111, 2014.
Randall D., M. Branson, M. Wang, SJ Ghan, C Craig, A Gettelman, and J Edwards: A Community Atmosphere Model with superparameterized clouds, Eos, 94(25), 221-228, 2013.
Wang H, RC Easter, Jr, PJ Rasch, M. Wang, X Liu, SJ Ghan, Y Qian, JH Yoon, PL Ma, and V Vinoj: Sensitivity of remote aerosol distributions to representation of cloud-aerosol interactions in a global climate model, Geoscientific Model Development, 6(3), 765-782, doi:10.5194/gmd-6-765-2013, 2013.
Zhang, K., X. Liu, M. Wang, J. M. Comstock, D. L. Mitchell, S. Mishra, and G. G. Mace, Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign, Atmospheric Chemistry and Physics, 13(9), 4963-4982, 2013.
Ghan, S. J., S. J. Smith, M. Wang, K. Zhang, K. Pringle, K. Carslaw, J. Pierce, S. Bauer, and P. Adams: A simple model of global aerosol indirect effects, Journal of Geophysical Research-Atmospheres, 118(12), 6688-6707, 2013.
Jiang, Y., X. Liu, X. Yang, and M. Wang: Effects of anthropogenic aerosols on East Asian summer monsoon with Community Atmospheric Model Version 5, Atmospheric Environment, 70, 51-63, 2013.
Yang B., Y Qian, G. Lin, R. Leung, P. Rasch, G. Zhang, S. McFarlane, C. Zhao, Y. Zhang, H. Wang, M. Wang, and X. Liu: Uncertainty quantification and parameter tuning in CAM5 Zhang-McFarlane convective scheme and physical impact of improved convection on the global circulation and climate, J. Geophys. Res., 118(2), 395-415, 2013.
Shi, X., B. Wang, X. Liu, and M. Wang: Two-moment bulk stratiform cloud microphysics in the Grid-point Atmospheric Model of IAP LASG (GAMIL), Advances in Atmospheric Sciences, 30(3), 868-883, 2013.
Kooperman G., M. Pritchard, S. Ghan, M. Wang, R. Somerville, and L. Russell: 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, 2012.
Yang, Q., Gustafson Jr., W. I., Fast, J. D., Wang, H., Easter, R. C., Wang, M., Ghan, S. J., Berg, L. K., Leung, L. R., and Morrison, H.: Impact of natural and anthropogenic aerosols on stratocumulus and precipitation in the Southeast Pacific: a regional modelling study using WRF-Chem, Atmos. Chem. Phys., 12, 8777-8796, 2012.
Chand D., R. Wood, S. Ghan, M. Wang, M. Ovchinnikov, P. Rasch, S. Miller, B. Schichtel, T. Moore: Aerosol optical depth enhancement in partly cloudy conditions, J. Geophys. Res., 117, D17207, doi:10.1029/2012JD017894, 2012.
Wang, M., S. Ghan, X. Liu, T. L'Ecuyer, K. Zhang, H. Morrison, M. Ovchinnikov, R. Easter, R. Marchand, D. Chand, Y. Qian and J. Penner, 2012, Constraining cloud lifetime effects of aerosols using A-Train Satellite observations, Geophys. Res. Lett., 39, L15709, doi:10.1029/2012GL052204, 2012.
Larson V., D. P. Schanen, M. Wang, M. Ovchinnikov, and S. Ghan: PDF parameterization of boundary layer clouds in models with horizontal grids from 2 to 16 km, Mon. Wea. Rev., 140, 285-306, 2012
Penner, J. E., C. Zhou, L. Xu, and M. Wang, Reply to Quaas et al.: Can satellites be used to estimate indirect climate forcing by aerosols? Proceedings of the National Academy of Sciences, 108, E1100-E1101, doi:10.1073/pnas.1116135108, 2011
Penner, J. E., L. Xu, and M. Wang, Satellite methods underestimate indirect climate forcing by aerosols, Proceedings of the National Academy of Sciences, 108, 13404-13408, doi: 10.1073/pnas.1018526108, 2011
Wang, M., Ghan, S., Ovchinnikov, M., Liu, X., Easter, R., Kassianov, E., Qian, Y., and Morrison, H.: 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, 2011
Wang, M., S. Ghan, R. Easter, M. Ovtchinnikov, X. Liu, E. Kassianov, Y. Qian, W. Gustafson, V. Larson, D. Schanen, M. Khairoutdinov, and H. Morrison: The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation, Geosci. Model Dev., 4, 137-168, doi:10.5194/gmd-4-137-2011, 2011.
Shi, X., B. Wang, X. Liu, M. Wang, L. Li and L. Dong: Aerosol indirect effects on warm clouds in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), Atmospheric and Oceanic Science Letters, 3(4), 237-241, 2010
Wang, M. and J. E. Penner, Cirrus clouds in a global climate model with a statistical cirrus cloud scheme, Atmos. Chem. Phys., 10, 5449-5474, doi:10.5194/acp-10-5449-2010, 2010
Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, et al., Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys., 9, 8697-8717, 2009
Graversen, R. G. and M. Wang, Polar amplification in a coupled climate model with locked albedo, Climate Dynamics, 33, 629-643, doi: 10.1007/s00382-009-0535-6, 2009.
Wang, M., J. E. Penner, and X. Liu, The coupled IMPACT aerosol and NCAR CAM3 model: evaluation of predicted aerosol number and size distribution, J. Geophys. Res., 114, doi: d063020.1029/2008jd010459, 2009
Penner, J. E., Y. Chen, M. Wang, and X. Liu, Possible influence of anthropogenic aerosols on cirrus clouds and anthropogenic forcing, Atmos. Chem. Phys., 9, 879-896, 2009
Liu, X., J. E. Penner and M. Wang, Influence of anthropogenic sulfate and black carbon on upper tropospheric clouds in the NCAR CAM3 model coupled to the IMPACT global aerosol model, J. Geophys. Res., 114, doi: d0320410.1029/2008jd010492, 2009
Wang, M., and J. E. Penner, Aerosol indirect forcing in a global model with particle nucleation, Atmos. Chem. Phys., 9, 239-260, 2009
Lee, S. S., J. E. Penner, and M. Wang, Comparison of a global-climate model simulation to a cloud-system resolving model simulation for long-term thin stratocumulus clouds, Atmos. Chem. Phys., 9, 6497-6520, 2009
Liu, X., J.E. Penner, S. Ghan, and M. Wang, Inclusion of ice microphysics in the NCAR community atmospheric model 3 (CAM3), Journal of Climate, 20, 4526-4547, 2007
Rotstayn, Leon D., W. Cai, D. R. Martin, F. D. Graham, Y. Feng, G. Paul, M. Herzog; A. Ito, J. E. Penner, R. L. Michael, and M. Wang, Have Australian rainfall and cloudiness increased due to the remote effects of Asian anthropogenic aerosols?, J. Geophys. Res., 112, doi: d0920210.1029/2006JD007712, 2007.
Liu, X., J. E. Penner, B. Das, D. Bergman, J. M. Rodriguez, S. Strathan, M. Wang, and Y. Feng, Uncertainties in global aerosol simulations: Assessment using three meteorological data sets, J. Geophy. Res., 112, doi: d1121210.1029/2006JD008216, 2007.
Wang, M., and B. Tan: Characteristics of baroclinic wave packets in GCM data, Acta Scientiarum Natrualium Universitatis Pekinensis, 39, 1, 2003 (in Chinese).
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