Improvements in the GRAPES-TCM and the forecast performance analysis in 2019
Yan TAN, Xu ZHANG, Xiaolin XU, Wei HUANG
Improvements in the GRAPES-TCM and the forecast performance analysis in 2019
In 2019, the operational Global Regional Assimilation and Prediction System-Tropical Cyclone Model (GRAPES-TCM) was updated by adopting the characteristic parameters in the official real-time released TC data of CMA, introducing the horizontal sixth-order diffusion scheme and adjusting the operational flowchart. In the case of the Super Typhoon Lekima, the model exhibits a reliable prediction ability for the type of tropical cyclone (TC) with northwestern tracking. The track and intensity forecasts in 2019 are significantly better than those over the past five years on average. The updated model can provide a skillful forecast of landfall position and rapid weakening process. Moreover, the precipitation pattern is close to the observation. TC forecast in 2019 shows that the updated GRAPES-TCM has a smaller track error than that of the previous year, and the 24 h intensity forecasting ability is improved.
GRAPES-TCM / vortex initialization / numerical diffusion scheme / performance analysis
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