Research Article
Simulating Heavy Meiyu Rainfall: A Note on the Choice of the Model Microphysics Scheme
Table 2
Summary of hydrometeor size distributions in the Morrison, Thompson, and MY schemes.
| Scheme | Category | Distribution | (m−4) | () | | | | | | |
| Morrison | Cloud | GAMA | Varies to maintain a constant total number density of 250 × 106 (m−3) | | 3 | 3 × 107 | 2 | 997 | 0 | Dependent on droplet number density | Rain | EXP | Prognostic | | 3 | 841.99667 | 0.8 | 997 | 0 | 0 | Ice | EXP | Prognostic | | 3 | 700 | 1 | 500 | 0 | 0 | Snow | EXP | Prognostic | | 3 | 11.72 | 0.41 | 100 | 0 | 0 | Graupel | EXP | Prognostic | | 3 | 19.3 | 0.37 | 400 | 0 | 0 |
| Thompson | Cloud | GAMA | 100 × 106 | | 3 | 0 | 0 | 1000 | 195 | Min(15) | Rain | EXP | Prognostic | | 3 | 4854.0 | 1 | 1000 | 195 | 0 | Ice | EXP | Prognostic | | 3 | 1847.5 | 1 | 890 | 0 | 0 | Snow | EXP + GAMA | Temperature-dependent | 0.069 | 3 | 40 | 0.55 | Varies with Dd | 100 | 0.636 | Graupel | EXP | Varies according to a function of total mass and size distribution | | 3 | 442 | 0.89 | 500 | 0 | 0 |
| MY | Cloud | GAMA | Varies to maintain a constant total number density of 200 × 106 (m−3) | | 3 | 0 | 0 | 1000 | 0 | 0 | Rain | EXP | Prognostic | | 3 | 149.1 | 0.5 | 1000 | 0 | 0 | Ice | EXP | Prognostic | 440 | 3 | 71.34 | 0.6635 | 500 | 0 | 0 | Snow | EXP | Prognostic | | 2.08 | 11.72 | 0.41 | Varies with D | 0 | 0 | Graupel | EXP | Prognostic | | 3 | 19.3 | 0.37 | 400 | 0 | 0 |
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