46 citations as recorded by crossref.

1. Formulation structure of the mass-flux convection parameterization J. Yano
2. The energy-cycle analysis of the interactions between shallow and deep atmospheric convection R. Plant & J. Yano
3. Effects of cumulus parameterization closures on simulations of summer precipitation over the United States coastal oceans F. Qiao & X. Liang
4. Impact of a stochastic parametrization of cumulus convection, using cellular automata, in a mesoscale ensemble prediction system L. Bengtsson & H. Körnich
5. Subgrid-scale physical parameterization in atmospheric modeling: How can we make it consistent? J. Yano
6. Description and Evaluation of a New Deep Convective Cloud Model Considering In‐Cloud Inhomogeneity W. Chu & Y. Lin
7. Simulation of mid-latitude winter storms over the North Atlantic Ocean: impact of boundary layer parameterization schemes P. Pradhan et al.
8. Moist static energy: definition, reference constants, a conservation law and effects on buoyancy J. Yano & M. Ambaum
9. A Bayesian‐Like Approach to Describe the Regional Variation of High‐Flash Rate Thunderstorms From Thermodynamic and Kinematic Environment Variables N. Liu et al.
10. The impact of deep convection representation in a global atmospheric model on the warm conveyor belt and jet stream during NAWDEX IOP6 G. Rivière et al.
11. Top Physical Sciences of Mediterranean Croatia for the Sustainable Development Goals Framework: A Case Study of the University of Split—Bibliometric Approach P. Jelic et al.
12. An improvement in mass flux convective parameterizations and its impact on seasonal simulations using a coupled model A. Elsayed Yousef et al.
13. A dynamical–system description of precipitation over the tropics and the midlatitudes J. Yano et al.
14. Initiation of deep convection through deepening of a well‐mixed boundary layer J. Yano
15. Does the ECMWF IFS Convection Parameterization with Stochastic Physics Correctly Reproduce Relationships between Convection and the Large-Scale State? P. Watson et al.
16. Representation of microphysical processes in cloud‐resolving models: Spectral (bin) microphysics versus bulk parameterization A. Khain et al.
17. Assessing free tropospheric quasi-equilibrium for different GCM resolutions using a cloud-resolving model simulation of tropical convection X. Wang et al.
18. Generalized eddy‐diffusivity mass‐flux formulation for the parametrization of atmospheric convection and turbulence C. Vraciu
19. Atmospheric Convection as an Unstable Predator–Prey Process with Memory M. Colin & S. Sherwood
20. Bulk Mass-Flux Perturbation Formulation for a Unified Approach of Deep Convection at High Resolution L. Gerard
21. Seasonal and Regional Differences in the Lightning Activity Over East and West Coasts of India N. Umakanth et al.
22. Simulated Precipitation Diurnal Variation With a Deep Convective Closure Subject to Shallow Convection in Community Atmosphere Model Version 5 Coupled With CLUBB B. Yang et al.
23. Basic Concepts for Convection Parameterization in Weather Forecast and Climate Models: COST Action ES0905 Final Report J. Yano et al.
24. Reanalyses and a High-Resolution Model Fail to Capture the “High Tail” of CAPE Distributions Z. Wang et al.
25. Relationships between Large Precipitating Systems and Atmospheric Factors at a Grid Scale B. Chen et al.
26. Simulated precipitation diurnal cycles over East Asia using different CAPE-based convective closure schemes in WRF model B. Yang et al.
27. Generalized convective quasi-equilibrium principle J. Yano & R. Plant
28. Evaluation of Machine Learning Classifiers for Predicting Deep Convection P. Ukkonen & A. Mäkelä
29. A short review of numerical cloud-resolving models F. Guichard & F. Couvreux
30. A machine learning based deep convective trigger for climate models S. Kumar et al.
31. Why Does Arakawa and Schubert’s Convective Quasi-Equilibrium Closure Not Work? Mathematical Analysis and Implications J. Yano & R. Plant
32. ResU‐Deep: Improving the Trigger Function of Deep Convection in Tropical Regions With Deep Learning M. Chen et al.
33. Shallow convective closure in a spectral cumulus parameterization Y. Baba
34. Are dependencies of extreme rainfall on humidity more reliable in convection-permitting climate models? G. Lenderink et al.
35. Evaluating convective parameterization closures using cloud‐resolving model simulation of tropical deep convection E. Suhas & G. Zhang
36. Does More Moisture in the Atmosphere Lead to More Intense Rains? J. Yano & A. Manzato
37. Empirical values and assumptions in the convection schemes of numerical models A. Villalba-Pradas & F. Tapiador
38. Convective kinetic energy equation under the mass-flux subgrid-scale parameterization J. Yano
39. Basic convective element: bubble or plume? A historical review J. Yano
40. Sensitivities of the Madden–Julian oscillation forecasts to configurations of physics in the ECMWF global model J. Yano & N. Wedi
41. In what conditions an urban heat island can initiate deep convection? Theoretical estimations C. Vraciu
42. A radiative-convective model based on constrained maximum entropy production V. Labarre et al.
43. The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection D. Romps
44. Implementing the HYbrid MAss flux Convection Scheme (HYMACS) in ICON – First idealized tests and adaptions to the dynamical core for local mass sources M. Langguth et al.
45. The Gust Factor Models Involving Wind Speed and Temperature Profiles for Wind Gust Estimation H. Hu et al.
46. Relationship Between Deep Convection, Water Vapor, Lightning, and Precipitation over Northern Coastal Brazil D. Islas-Flores et al.