Marcus van Lier‐Walqui

Author

Goddard Institute for Space Studies ORCID

Also Known As

Lier-Walqui, Marcus Van, M Van Lier-Walqui, M. van Lier-Walqui, M. van Lier‐Walqui, Marcus Lier-Walqui, Marcus Van Lier-Walqui, Marcus van Lier-Walqui, Marcus van Lier‐Walqui, Marcus van-Lier Walqui, Van Lier-Walqui, Marcus

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Goddard Institute for Space Studies Columbia University NSF National Center for Atmospheric Research Pennsylvania State University University of North Carolina at Asheville

About

Marcus van Lier‐Walqui is an author at Goddard Institute for Space Studies specializing in earth science, engineering, and meteorology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	394
2	Geography	6	6	177
3	Civil Engineering	2	2	62
4	Public Health	1	1	23
5	Climate Sciences	1	1	21

Marcus van Lier‐Walqui

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics Hugh Morrison, Marcus van Lier‐Walqui, Ann M. Fridlind, Journal of Advances in Modeling Earth Systems	2020	593
Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case Ann M. Fridlind, Xiaowen Li, Di Wu, Atmospheric chemistry and physics EngineeringConvection Case StudiesClimate ModelingAtmospheric ModelEarth Science	2017	67
On Polarimetric Radar Signatures of Deep Convection for Model Evaluation: Columns of Specific Differential Phase Observed during MC3E* Marcus van Lier‐Walqui, Ann M. Fridlind, Andrew S. Ackerman, Monthly Weather Review	2015	60
Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking Ann M. Fridlind, Marcus van Lier‐Walqui, Scott Collis, Atmospheric measurement techniques RadarMeteorologyDifferential ReflectivityEngineeringNumerical Weather Prediction	2019	55
Quantification of Cloud Microphysical Parameterization Uncertainty Using Radar Reflectivity Marcus van Lier‐Walqui, Tomislava Vukićević, Derek J. Posselt Monthly Weather Review EngineeringWeather ForecastingClimate ModelingEarth ScienceNumerical Weather Prediction	2012	53
An Improved Convective Ice Parameterization for the NASA GISS Global Climate Model and Impacts on Cloud Ice Simulation Gregory S. Elsaesser, Anthony D. Del Genio, Jonathan H. Jiang, Journal of Climate	2016	47
A Bayesian Approach for Statistical–Physical Bulk Parameterization of Rain Microphysics. Part I: Scheme Description Hugh Morrison, Marcus van Lier‐Walqui, Matthew R. Kumjian, Journal of the Atmospheric Sciences EngineeringBayesian FrameworkWeather ForecastingUncertainty ModelingEarth Science	2019	39
A General N-Moment Normalization Method for Deriving Raindrop Size Distribution Scaling Relationships Hugh Morrison, Matthew R. Kumjian, Charlotte Martinkus, Journal of Applied Meteorology and Climatology EngineeringDsd Functional FormWeather ForecastingClimate ModelingEarth System Science	2018	37
Linearization of Microphysical Parameterization Uncertainty Using Multiplicative Process Perturbation Parameters Marcus van Lier‐Walqui, Tomislava Vukićević, Derek J. Posselt Monthly Weather Review Numerical AnalysisEngineeringSpatial UncertaintyUncertainty ModelingEarth Science	2013	29
A Moment-Based Polarimetric Radar Forward Operator for Rain Microphysics Matthew R. Kumjian, Charlotte Martinkus, O. P. Prat, Journal of Applied Meteorology and Climatology EngineeringClimate ModelingEarth ScienceUncertainty QuantificationAtmospheric Science	2018	24

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