4.7 Article

The impacts of multi-physics parameterization on forecasting heavy rainfall induced by weak landfalling Typhoon Rumbia (2018)

Journal

ATMOSPHERIC RESEARCH
Volume 265, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.atmosres.2021.105883

Keywords

Heavy rainfall distribution; Microphysics parameterizations; Planetary boundary layer schemes

Funding

  1. National Natural Science Foundation for Young Scientist of China [41605079]
  2. Shanghai 2021 Scientific and technological innovation action plan Natural Science Foundation [21ZR1420400]
  3. National Key R&D Program of China [2018YFC1507702]

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The distribution of heavy rainfall from a landed tropical cyclone is mainly influenced by the storm's intensity at landfall, while environmental factors play a larger role during the inland stages. Different microphysics and planetary boundary layer schemes impact the simulation of the storm's thermodynamic structure and key environmental factors, resulting in varying forecast skills at different stages. The use of certain schemes, such as the Yonsei University PBL scheme and MP schemes with sophisticated ice processes, demonstrate advantages in simulating postlandfall heavy rainfall from weak tropical cyclones.
The weak and sustained tropical cyclone (TC) Rumbia (2018) and its associated heavy precipitation after landfall are simulated by the Weather Research and Forecasting model using three microphysics parameterizations (MP) and two planetary boundary layer (PBL) schemes. Key factors regulating the heavy rainfall distribution of landed TC at three stages (landfall, inland slow-moving and recurving stage) and their sensitivities to multi-physics parameterizations are examined. Results show that heavy rainfall distribution is largely regulated by the intensity of TC itself at landfall, but more affected by environmental factors at the two inland stages, including the environmental vertical wind shear, the associated upper-level wind divergence and low-level moisture convergence. Different MP and PBL schemes mainly affect the simulation of TC thermodynamic structure and key environmental factors, leading to their different forecast skills at three stages. Specifically, the Yonsei University (YSU) PBL scheme systematically outperforms the Mellor-Yamada-Nakanishi-Niino (MYNN) scheme in simulating stronger TC and heavy rainfall intensity. With the advantageous YSU PBL scheme, the Ferrier MP scheme only shows a slight advantage in simulating the intensity of TC and heavy rainfall at landfall. However, the WRF single-moment 6-class (WSM6) and Thompson scheme produce more graupel or snow, and better simulate the key environmental factors, showing their respective advantages in simulating the heavy rainfall structure and location at the two inland stages. This implies that the use of nonlocal YSU PBL scheme and the MP schemes with sophisticated ice processes shows superiority in simulating the postlandfall heavy rainfall induced by weak TCs.

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