Author Bibliographies

Publications by Marcus van Lier-Walqui

This citation list includes papers published while the author has been on staff at the NASA Goddard Institute for Space Studies. It may include some papers based on research conducted prior to their having joined the institute.


Schrom, R.S., M. van Lier-Walqui, M.R. Kumjian, J.Y. Harrington, A.A. Jensen, and Y.-S. Chen, 2021: Radar-based Bayesian estimation of ice crystal growth parameters within a microphysical model. J. Atmos. Sci., 78, no. 2, 549-569, doi:10.1175/JAS-D-20-0134.1.


Morrison, H.C., M. van Lier-Walqui, M.R. Kumjian, and O.P. Prat, 2020: A Bayesian approach for statistical-physical bulk parameterization of rain microphysics, Part I: Scheme description. J. Atmos. Sci., 77, no. 3, 1019-1041, doi:10.1175/JAS-D-19-0070.1.

Morrison, H., M. van Lier-Walqui, A.M. Fridlind, W.W. Grabowski, J.Y. Harrington, C. Hoose, A. Korolev, M.R. Kumjian, J.A. Milbrandt, H. Pawlowska, D.J. Posselt, O.P. Prat, K.J. Reimel, S.-I. Shima, B. van Diedenhoven, and L. Xue, 2020: Confronting the challenge of modeling cloud and precipitation microphysics. J. Adv. Model. Earth Syst., 12, no. 8, e2019MS001689, doi:10.1029/2019MS001689.

Van Lier-Walqui, M., H.C. Morrison, M.R. Kumjian, K.J. Karly J. Reimel, O.P. Prat, S. Lunderman, and M. Morzfeld, 2020: A Bayesian approach for statistical-physical bulk parameterization of rain microphysics, Part II: Idealized Markov chain Monte Carlo experiments. J. Atmos. Sci., 77, no. 3, 1043-1064, doi:10.1175/JAS-D-19-0071.1.


Fridlind, A.M., M. van Lier-Walqui, S. Collis, S.E. Giangrande, R.C. Jackson, X. Li, T. Matsui, R. Orville, M.H. Picel, D. Rosenfeld, A. Ryzhkov, R. Weitz, and P. Zhang, 2019: Use of polarimetric radar measurements to constrain simulated convective cell evolution: A pilot study with Lagrangian tracking. Atmos. Meas. Tech., 12, 2979-3000, doi:10.5194/amt-12-2979-2019.

Kumjian, M.R., O.P. Prat, S. Collis, M. van Lier-Walqui, and H.C. Morrison, 2019: A moment-based polarimetric radar forward operator for rain microphysics. J. Appl. Meteorol. Climatol., 58, no. 1, 113-130, doi:10.1175/JAMC-D-18-0121.1.

Morrison, H.C., M.R. Kumjian, C.P. Martinkus, O.P. Prat, and M. van Lier-Walqui, 2019: A general N-moment normalization method for deriving rain drop size distribution scaling relationships. J. Appl. Meteorol. Climatol., 58, no. 2, 247-267, doi:10.1175/JAMC-D-18-0060.1.


Elsaesser, G.S., A.D. Del Genio, J. Jiang, and M. van Lier-Walqui, 2017: An improved convective ice parameterization for the NASA GISS Global Climate Model and impacts on cloud ice simulation. J. Climate, 30, no. 1, 317-336, doi:10.1175/JCLI-D-16-0346.1.

Fridlind, A.M., X. Li, D. Wu, M. van Lier-Walqui, A.S. Ackerman, W.-K. Tao, G.M. McFarquhar, W. Wu, X. Dong, J. Wang, A. Ryzhkov, P. Zhang, M.R. Poellot, A. Neumann, and J.M. Tomlinson, 2017: Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case. Atmos. Chem. Phys., 17, 5947-5972, doi:10.5194/acp-17-5947-2017.


Van Lier-Walqui, M., A.M. Fridlind, A.S. Ackerman, S. Collis, J.J. Helmus, D.R. MacGorman, K. North, P. Kollias, and D.J. Posselt, 2016: Polarimetric radar signatures of deep convection: Columns of specific differential phase observed during MC3E. Mon. Weather Rev., 144, no. 2, 737-758, doi:10.1175/MWR-D-15-0100.1.


Van Lier-Walqui, M., T. Vukicevic, and D.J. Posselt, 2014: Linearization of microphysical parameterization uncertainty using multiplicative process perturbation parameters. Mon. Weather Rev., 142, no. 1, 401-413, doi:10.1175/MWR-D-13-00076.1.


Van Lier-Walqui, M., T. Vukicevic, and D.J. Posselt, 2012: Quantification of cloud microphysical parameterization uncertainty using radar reflectivity. Mon. Weather Rev., 140, 3442-3466, doi:10.1175/MWR-D-11-00216.1.

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