| Confronting the challenge of modeling cloud and precipitation microphysics H Morrison, M van Lier‐Walqui, AM Fridlind, WW Grabowski, ... Journal of advances in modeling earth systems 12 (8), e2019MS001689, 2020 | 242 | 2020 |
| An improved convective ice parameterization for the NASA GISS global climate model and impacts on cloud ice simulation GS Elsaesser, AD Del Genio, JH Jiang, M van Lier-Walqui Journal of Climate 30 (1), 317-336, 2017 | 43 | 2017 |
| On polarimetric radar signatures of deep convection for model evaluation: columns of specific differential phase observed during MC3E M van Lier-Walqui, AM Fridlind, AS Ackerman, S Collis, J Helmus, ... Monthly Weather Review, 2016 | 42 | 2016 |
| Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case AM Fridlind, X Li, D Wu, M van Lier-Walqui, AS Ackerman, WK Tao, ... Atmospheric Chemistry and Physics 17 (9), 5947-5972, 2017 | 40 | 2017 |
| Quantification of cloud microphysical parameterization uncertainty using radar reflectivity M van Lier-Walqui, T Vukicevic, DJ Posselt Monthly Weather Review 140 (11), 3442-3466, 2012 | 38 | 2012 |
| Use of polarimetric radar measurements to constrain simulated convective cell evolution: A pilot study with Lagrangian tracking AM Fridlind, M van Lier-Walqui, S Collis, SE Giangrande, RC Jackson, ... Atmospheric Measurement Techniques 12 (6), 2979-3000, 2019 | 31 | 2019 |
| A general N-moment normalization method for deriving raindrop size distribution scaling relationships H Morrison, MR Kumjian, CP Martinkus, OP Prat, M van Lier-Walqui Journal of Applied Meteorology and Climatology 58 (2), 247-267, 2019 | 30 | 2019 |
| A Bayesian approach for statistical–physical bulk parameterization of rain microphysics. Part I: Scheme description H Morrison, M van Lier-Walqui, MR Kumjian, OP Prat Journal of the Atmospheric Sciences 77 (3), 1019-1041, 2020 | 28 | 2020 |
| Linearization of microphysical parameterization uncertainty using multiplicative process perturbation parameters M van Lier-Walqui, T Vukicevic, DJ Posselt Monthly Weather Review 142 (1), 401-413, 2014 | 25 | 2014 |
| A moment-based polarimetric radar forward operator for rain microphysics MR Kumjian, CP Martinkus, OP Prat, S Collis, M van Lier-Walqui, ... Journal of Applied Meteorology and Climatology 58 (1), 113-130, 2019 | 22 | 2019 |
| A Bayesian approach for statistical–physical bulk parameterization of rain microphysics. Part II: Idealized Markov chain Monte Carlo experiments M van Lier-Walqui, H Morrison, MR Kumjian, KJ Reimel, OP Prat, ... Journal of the Atmospheric Sciences 77 (3), 1043-1064, 2020 | 16 | 2020 |
| Dual-polarization radar fingerprints of precipitation physics: A review MR Kumjian, OP Prat, KJ Reimel, M van Lier-Walqui, HC Morrison Remote Sensing 14 (15), 3706, 2022 | 12 | 2022 |
| Radar-based Bayesian estimation of ice crystal growth parameters within a microphysical model RS Schrom, M van Lier-Walqui, MR Kumjian, JY Harrington, AA Jensen, ... Journal of the Atmospheric Sciences 78 (2), 549-569, 2021 | 8 | 2021 |
| Limitations of separate cloud and rain categories in parameterizing collision‐coalescence for bulk microphysics schemes AL Igel, H Morrison, SP Santos, M van Lier‐Walqui Journal of Advances in Modeling Earth Systems 14 (6), e2022MS003039, 2022 | 7 | 2022 |
| Confronting the challenge of modeling cloud and precipitation microphysics, JAMES, 12, e2019MS001689 H Morrison, M van Lier-Walqui, AM Fridlind, WW Grabowski, ... | 6 | 2020 |
| Harrington, 815 JY, Hoose, C.,... Xue, L.(2020). Confronting the challenge of modeling 816 cloud and precipitation microphysics H Morrison, M van Lier-Walqui, AM Fridlind, WW Grabowski Journal of Advances in Modeling Earth 616, 0 | 6 | |
| TINT—TINT is not TITAN. Easy-to-use tracking code based on TITAN—Details and uses MH Picel, S Collis, B Raut, S Carani, R Jackson, M van Lier-Walqui, ... 98th American Meteorological Society Annual Meeting, 2018 | 5 | 2018 |
| Reduced Order Modeling for Linearized Representations of Microphysical Process Rates KD Lamb, ML Walqui, SP Santos, H Morrison Authorea Preprints, 2023 | 1 | 2023 |
| A Grand Challenge" Uncertainty Project" to Accelerate Advances in Earth System Predictability: AI-Enabled Concepts and Applications A Fridlind, M van Lier-Walqui, G Elsaesser, M Kelley, A Ackerman, ... NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States …, 2021 | 1 | 2021 |
| NASA GISS ModelE3: New tuning framework and evaluation against global satellite datasets G Elsaesser, M van Lier-Walqui, AS Ackerman, M Kelley, G Cesana, ... AGU Fall Meeting Abstracts 2020, A047-04, 2020 | 1 | 2020 |
