DEPENDENCE OF TROPICAL CYCLONE INTENSIFICATION ON THE CORIOLIS PARAMETER

The dependence of tropical cyclone(TC) intensification on the Coriolis parameter was investigated in an idealized hurricane model. By specifying an initial balanced vortex on an f-plane, we observed faster TC development under lower planetary vorticity environment than under higher planetary vorticity environment. The diagnosis of the model outputs indicates that the distinctive evolution characteristics arise from the extent to which the boundary layer imbalance is formed and maintained in the presence of surface friction. Under lower planetary vorticity environment, stronger and deeper subgradient inflow develops due to Ekman pumping effect, which leads to greater boundary layer moisture convergence and condensational heating. The strengthened heating further accelerates the inflow by lowing central pressure further. This positive feedback loop eventually leads to distinctive evolution characteristics.The outer size(represented by the radius of gale-force wind) and the eye of the final TC state also depend on the Coriolis parameter. The TC tends to have larger(smaller) outer size and eye under higher(lower) planetary vorticity environment. Whereas the radius of maximum wind or the eye size in the current setting is primarily determined by inertial stability, the TC outer size is mainly controlled by environmental absolute angular momentum.

An Objective Method for Defining Meiyu Onset in Lower Reaches of the Yangtze River Basin

Meiyu is an important climate phenomenon in East Asia, and predicting its onset is critical for local community.Traditionally, the onset of Meiyu is determined by regional operational meteorological centers with some arbitrary criteria. In this study, an objective Meiyu onset index(MOI) is constructed based on large-scale atmospheric conditions such as temperature and relative humidity over the lower reaches of the Yangtze River basin(LYRB). This objectively determined MOI is in good agreement with an integrated area-weighted onset index provided by regional climate centers. A composite analysis is further carried out to reveal large-scale circulation characteristics associated with an early and a late onset group. A La Ni?a like sea surface temperature(SST) condition in the Pacific and enhanced convection in Philippines are favorable precursory conditions for the early onset. Accompanied with the tropical signals are a Pacific-Japan(PJ) pattern in June and an anomalous anticyclone near Taiwan. Southerly anomalies to the west of the anticyclone transports high mean moisture northward, favoring the onset of Meiyu in LYRB. A linear regression model is constructed for the MOI forecast with three independent predictors. With 1981-2010 as a training period, the reconstructed MOI time series is able to capture the early and late onset years quite well. An independent forecast for the period of 2011-2020 shows a reliable skill. The correlation between the objectively determined MOI and the forecasted date is 0.6, exceeding the 95% confidence level. The newly developed MOI and the regression model can be easily implemented to operational centers for real-time application.