Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Period (UTC)</td><td class="align_center">0000–1800</td></tr><tr><td class="align_left">Model top</td><td class="align_center">50 hPa</td></tr><tr><td class="align_left">Longwave radiation</td><td class="align_center">Rapid radiative transfer model (RRTM)</td></tr><tr><td class="align_left">Shortwave radiation</td><td class="align_center">Goddard shortwave scheme</td></tr><tr><td class="align_left">Planetary boundary layer (PBL)</td><td class="align_center">Yonsei University (YSU) scheme</td></tr><tr><td class="align_left">Land surface</td><td class="align_center">NOAH land surface scheme</td></tr><tr><td class="align_left">Surface layer</td><td class="align_center">MM5 similarity</td></tr><tr><td class="align_left">Microphysics</td><td class="align_center">Morrison scheme with glaciogenic/hygroscopic cloud seeding parameterization</td></tr><tr><td class="align_left">Horizontal grid interval</td><td class="align_center">1 km</td></tr><tr><td class="align_left">Initial and boundary condition</td><td class="align_center">Unified model local data assimilation and prediction system (UM LDAPS) analysis data (3 hr, 1.5 km)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Numerical model of cloud seeding in NIMS [<a href="/journals/amete/2023/5478666/#B43" target="_blank">43</a>].</div>

Advances in Meteorology

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Table 1: Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust 

Table 1 | Estimation of the Total Amount of Enhanced Rainfall for a Cloud Seeding Experiment: Case Studies of Preventing Forest Fire, Drought, and Dust 