Author Bibliographies
Publications by Marcus van Lier-Walqui
This citation list includes papers published while the author has been on staff at NASA's Goddard Institute for Space Studies. It may include some publications based on research conducted prior to their having joined the institute.
Submitted / In Review
Hernandez-Deckers, D., T. Matsui, T. Iguchi, K. Brunner, E.C. Bruning, , E.R. Mansell, T. Subba, C. Kuang, M.P. Jensen, and S.A. Braun, 2025: Aerosol-deep convection interaction based on joint cell-thermal tracking in Large Eddy Simulations during the TRACER campaign. Atmos. Chem. Phys., submitted.
In Press / Accepted
, , , , E. Weatherhead, , , D. Barahona, , W.D. Collins, D. Considine, L. Cucurull, L. DiGirolamo, A. Emory, O. Hasekamp, S. He, R. Kramer, M. Lebsock, T. Lee, S. Leroy, W. Lin, S. Lugauer, D. Miller, J. Mülmenstädt, L. Oreopoulos, D.J. Posselt, and M.D. Zelinka, 2025: Towards a climate OSSE framework for satellite mission design. Bull. Amer. Meteor. Soc., in press, doi:10.1175/BAMS-D-24-0242.1.
Jensen, M.P., J.H. Flynn, J.E. Gonzalez-Cruz, L.M. Judd, P. Kollias, C. Kuang, G.M. McFarquhar, H. Powers, P. Ramamurthy, J. Sullivan, A.C. Aiken, S.L. Alvarez, P. Argay, B. Argrow, T.M. Bell, D. Boyer, S.D. Brooks, E.C. Bruning, K. Brunner, B. Butterworth, R. Calmer, C.D. Cappa, R.K. Chakrabarty, V. Chandrasekar, C.-Y. Chao, B. Chen, S. China, D.R. Collins, S.M. Collis, S. Crowell, R. Dal Porto, G. de Boer, M. Deng, D. Dexheimer, A.J. Drager, X. Du, M.K. Dubey, A.M. Dzambo, M. Etten-Bohm, J. Fan, R. Farley, Y.-C. Feng, Y. Feng, M. Fenn, R.E. Ferrare, S. Flusche, , J. Galewsky, H. Gamarro, S. Gardner, V.P. Ghate, S.E. Giangrande, R.J. Griffin, T. Griggs, G.P. Gronoff, M. Grover, M. Gaugenti, F. Guo, S. Gupta, J. Hu, Y. Huang, R.C. Jackson, J.W. Hair, K.L. Johnson, S. Kasparoglu, P. Klein, A.E. Kotsakis, J. Kumar, M.S. Kumjian, K. Lamer, F.M. Lappin, Z. Lei, J. Li, R. Li, Y. Li, T. Logan, K. Lombardo, E.P. Luke, Z. Mages, A.A. Matthews, B.H. Matthews, O. Mayol-Bracero, T. Matsui, K.E. McKeown, M. Mehra, F. Mei, N. Meskidzhe, C. Nguyen, E.R. Nielsen, C.J. Nowotarski, D. Oaks, R. Oktem, M. Oue, J.M. Park, N. Partida, S. Patil, J.C. Pena, M.D. Petters, D.B. Phoenix, J.V. Puthserry, A.D. Rapp, D.M. Romps, M. Roots, D. Rosenfeld, S.M. Saleeby, P. Savala, A.J. Sedlacek, M. Sharma, R. Sheesley, T.J. Shingler, S. Shrestha, A. Singh, E.N. Smith, J.N. Smith, S. Smith, J. Snyder, E. Spicer, E. Spinei, M. Spychala, P. Steir, M.R. Storm, T. Subba, B.P. Treserras, R. Trojanowski, A. Theisen, S.A. Thompson, L. Twigg, J. Uin, A.R. Ulinski, S. van den Heever, , A.C. Varble, T.J. Wagner, J. Wakeen, N.A. Wales, P.J. Walter, D. Wang, J. Wang, L. Wood, Y. Wang, M. Wolde, S. Yoon, M.H. Young, M.A. Zawadowicz, Q. Zhang, A. Zhou, Z. Zhu, and Z. Zhu, 2025: Studying aerosol, clouds, and air quality in the coastal urban environment of Southeastern Texas. Bull. Amer. Meteorol. Soc., in press, doi:10.1175/BAMS-D-23-0331.1.
2026
Lamb, K.D., C.E. Singer, K. Loftus, H. Morrison, M. Powell, J. Ko, J. Buch, A.Z. Hu, , and P. Gentine, 2026: Perspectives on systematic cloud microphysics scheme development with machine learning. J. Adv. Model. Earth Syst., 18, no. 1, e2025MS005341, doi:10.1029/2025MS005341.
2025
, , Q. Yang, , , , , , , A. Behrangi, S.J. Camargo, , , , and J.D.O. Strong, 2025: Using machine learning to generate a GISS ModelE calibrated physics ensemble (CPE). J. Adv. Model. Earth Syst., 17, no. 4, e2024MS004713, doi:10.1029/2024MS004713.
Iguchi, T., Z. Tao, J. Yoo, E.C. Bruning, E.R. Mansell, T. Matsui, , M. Chin, P. Lawston-Parker, J.A. Santanello, and J.M. Shepherd, 2025: Impact of urbanization on convection, lightning, and precipitation over the Houston metropolitan area: Case study simulation from the TRACER campaign. J. Adv. Model. Earth Syst., 17, no. 11, e2025MS005327, doi:10.1029/2025MS005327.
Ko, J., J.Y. Harrington, K.J. Sulia, V. Przybylo, , and K.D. Lamb, 2025: A machine learning framework for predicting microphysical properties of ice crystals from cloud particle imagery. J. Geophys. Res. Mach. Learn. Comput., 2, no. 4, e2025JH000905, doi:10.1029/2025JH000905.
Morrison, H., P.-L. Ma, A. Geiss, A.L. Igel, A.Z. Hu, and , 2025: Impacts of bulk microphysics scheme structural choices on simulations of rain initiation through drop coalescence. J. Adv. Model. Earth Syst., 17, no. 11, e2025MS005026, doi:10.1029/2025MS005026.
Yang, Q., , , T. Eidhammer, and L. Hawkins, 2025: A simple emulator that enables interpretation of parameter-output relationships, applied to two climate model PPEs. J. Adv. Model. Earth Syst., 17, no. 5, e2024MS004766, doi:10.1029/2024MS004766.
2024
Bruning, E.C., K.N. Brunner, , T. Logan, and T. Matsui, 2024: Lightning and radar measures of mixed phase updraft variability in tracked storms during the TRACER field campaign in Houston, Texas. Mon. Weather Rev., 152, no. 12, 2753-2769, doi:10.1175/MWR-D-24-0060.1.
Eidhammer, T., A. Gettelman, K. Thayer-Calder, D. Watson-Parris, , H. Morrison, , C. Song, and D. McCoy, 2024: An extensible perturbed parameter ensemble (PPE) for the Community Atmosphere Model Version 6. Geosci. Model Dev., 17, no. 21, 7835-7853, doi:10.5194/gmd-17-7835-2024.
, M. Luo, , , , , , , and , 2024: Estimating the impact of a 2017 smoke plume on surface climate over northern Canada with a climate model, satellite retrievals, and weather forecasts. J. Geophys. Res. Atmos., 129, no. 15, e2023JD039396, doi:10.1029/2023JD039396.
Lamb, K., , S. Santos, and H. Morrison, 2024: Reduced order modeling for linearized representations of microphysical process rates. J. Adv. Model. Earth Syst., 16, no. 7, e2023MS003918, doi:10.1029/2023MS003918.
2023
, E. Bruning, K. Brunner, T. Matsui, and T. Iguchi, 2023: TRACER Lightning Mapping Array Field Campaign Report. DOE/SC-ARM-23-026. U.S. Department of Energy, Office of Science, doi:10.2172/1975120.
2022
Igel, A.L., H. Morrison, S.P. Santos, and , 2022: Limitations of separate cloud and rain categories in parameterizing collision-coalescence for bulk microphysics schemes. J. Adv. Model. Earth Syst., 14, no. 6, e2022MS003039, doi:10.1029/2022MS003039.
Kumjian, M.R., O.P. Prat, K.J. Reimel, , and H.C. Morrison, 2022: Dual-polarization radar fingerprints of precipitation physics: A review. MDPI Remote Sens., 14, no. 15, 3706, doi:10.3390/rs14153706.
2021
Schrom, R.S., , 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.
2020
Morrison, H.C., , 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., , , 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, , 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.
, 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.
2019
, , 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, , 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 , 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.
2017
, , J. Jiang, and , 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.
, X. Li, D. Wu, , , 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.
2016
, , , 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.
2014
, 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.
2012
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.
