24 citations as recorded by crossref.

1. Uncertainties in simulating regional climate of Southern Africa: sensitivity to physical parameterizations using WRF J. Crétat et al. https://doi.org/10.1007/s00382-011-1055-8
2. Role of PBL and Microphysical Parameterizations During WRF Simulated Monsoonal Heavy Rainfall Episodes Over Mumbai S. Verma et al. https://doi.org/10.1007/s00024-021-02813-z
3. Quantifying physical parameterization uncertainties associated with land-atmosphere interactions in the WRF model over Amazon C. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105761
4. Impact of Different Double-Moment Microphysical Schemes on Simulations of a Bow-Shaped Squall Line in East China Q. Cao et al. https://doi.org/10.3390/atmos13050667
5. Sensitivity of the MM5 mesoscale model to physical parameterizations for regional climate studies: Annual cycle J. Fernández et al. https://doi.org/10.1029/2005JD006649
6. Evaluation of heavy rainfall model forecasts over the Korean Peninsula using different physical parameterization schemes and horizontal resolution J. Park & D. Lee https://doi.org/10.1007/s00376-011-0058-z
7. Observational analysis of moisture evolution and variability in the boundary layer during the dryline on 22 May 2002 M. Weldegaber et al. https://doi.org/10.1007/s00703-010-0109-5
8. Mesoscale Model to Select the Ideal Location for New Vineyard Plantations in the Rioja Qualified Denomination of Origin E. Martínez-Cámara et al. https://doi.org/10.1155/2014/403683
9. A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part II: Application and Evaluation in a Mesoscale Meteorological Model J. Pleim https://doi.org/10.1175/JAM2534.1
10. Implementation of non-local boundary layer schemes in the Regional Atmospheric Modeling System and its impact on simulated mesoscale circulations I. Gómez et al. https://doi.org/10.1016/j.atmosres.2016.04.020
11. An ensemble study of HyMeX IOP6 and IOP7a: sensitivity to physical and initial and boundary condition uncertainties A. Hally et al. https://doi.org/10.5194/nhess-14-1071-2014
12. The Impact of Different WRF Model Physical Parameterizations and Their Interactions on Warm Season MCS Rainfall I. Jankov et al. https://doi.org/10.1175/WAF888.1
13. Evaluation of WRF planetary boundary layer parameterization schemes for simulation of monsoon depressions over India D. Rai & S. Pattnaik https://doi.org/10.1007/s00703-019-0656-3
14. Extreme rainfall event in the Northeast coast of Brazil: a numerical sensitivity study A. Comin et al. https://doi.org/10.1007/s00703-020-00747-0
15. Convective and microphysics parameterization impact on simulating heavy rainfall in Semarang (case study on February 12th, 2015) N. Faridatussafura & A. Wandala https://doi.org/10.1088/1742-6596/1025/1/012027
16. High-resolution Simulation of an Extreme Heavy Rainfall Event in Shanghai Using the Weather Research and Forecasting Model: Sensitivity to Planetary Boundary Layer Parameterization R. Wang et al. https://doi.org/10.1007/s00376-020-9255-y
17. Sensitivity of Typhoon Vamei (2001) Simulation to Planetary Boundary Layer Parameterization Using PSU/NCAR MM5 W. Loh et al. https://doi.org/10.1007/s00024-010-0176-z
18. Impact of different parameterization schemes on simulation of mesoscale convective system over south-east India A. Madhulatha & M. Rajeevan https://doi.org/10.1007/s00703-017-0502-4
19. The Performance of Different Boundary-Layer Parameterisations in Meteorological Modelling in a Southwestern Coastal Area of the Iberian Peninsula M. Hernández-Ceballos et al. https://doi.org/10.5402/2012/983080
20. Sensitivity of WRF to boundary layer parameterizations in simulating a heavy rainfall event using different microphysical schemes. Effect on large-scale processes G. Efstathiou et al. https://doi.org/10.1016/j.atmosres.2013.05.004
21. Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics C. Srinivas et al. https://doi.org/10.1016/j.atmosres.2018.04.014
22. The Response of Cloud Precipitation Efficiency to Warming in a Rainfall Corridor Simulated by WRF Q. Guo et al. https://doi.org/10.3390/atmos15111381
23. Improvements in WRF simulation skills of southeastern United States summer rainfall: physical parameterization and horizontal resolution L. Li et al. https://doi.org/10.1007/s00382-013-2031-2
24. Sensitivity of quantitative precipitation forecast to soil moisture initialization and microphysics parametrization K. Van Weverberg et al. https://doi.org/10.1002/qj.611