DIAGNOSIS OF WAVE ACTIVITY OVER RAINBAND OF LANDFALL TYPHOON

A generalized wave-activity density, which is defined as an absolute value of production of three-dimensional vorticity vector perturbation and gradient of general potential temperature perturbation, is introduced and its wave-activity law is derived in Cartesian coordinates. Constructed in an agoestrophic and nonhydrostatie dynamical framework, the generalized wave-activity law may be applicable to diagnose mesoscale weather systems leading to heavy rainfall. The generalized wave-activity density and wave-activity flux divergence were calculated with the objective analysis data to investigate the character of wave activity over heavy-rainfall regions. The primary dynamical processes responsible for disturbance associated with heavy rainfall were also analyzed. It was shown that the generalized wave-activity density was closely correlated to the observed 6-h accumulative rainfall. This indicated that the wave activity or disturbance was evident over the frontal and landfall-typhoon heavy-rainfall regions in middle and lower troposphere. For the landfall-typhoon rainband, the portion of generalized wave-activity flux divergence, denoting the interaction between the basic-state cyclonic circulation of landfall typhoon and mesoscale waves, was the primary dynamic process responsible for the evolution of generalized wave-activity density.

NUMERICAL SIMULATION STUDY OF THE INNER-CORE STRUCTURES AND THE MECHANISM FOR INSHORE STRENGTHENING OF SOUTH CHINA SEA TYPHOON VONGFONG (0214) DURING LANDFALL

An explicit simulation with a fine mesh at intervals of 6 km is used to explore the inner-core structures of Vongfong (0214). The dynamic mechanism for the inshore strengthening of Vongfong is examined. It is found as follows. (1) The radius of maximum wind of the axisymmetric structures of the typhoon decreased with height during its mature stage. When Vongfong was inshore, the strongest low-layer inflow located in front of it and the outflow was to the rear of it, which was just reversed from the Atlantic hurricanes and other Pacific typhoons. (2) The dynamic and thermodynamic fields were highly asymmetric in structure. Convection was stronger in the northwest quadrant of the typhoon than in the southeast; the strongest convective cloud bands were consistent with the maximum wind region. During its strengthening stage, it was cold west of and warm east of the eye in the lower layer but warm in the west and cold in the east of the mid-upper layer. During its mature stage, a warm-core structure was evident in the lower and middle-upper layer. (3) The interactions between a mid-latitude cold low in the middle-upper troposphere and the typhoon were responsible for the latter to strengthen inshore. Firstly, the outer circulation of the cold low entered the typhoon from the middle troposphere when an outer cold airflow from the cold low flowed into the northwest quadrant of the typhoon so that geopotentially instable energy increased and convection developed. Secondly, the downdraft in the cold low was just the corresponding branch of the secondary circulation of the typhoon system; when the cold low weakened while moving south, the typhoon strengthened inshore. Due to the CISK mechanism, these two phenomena might be realized.

THE EFFECTIVENESS OF GENETIC ALGORITHM IN CAPTURING CONDITIONAL NONLINEAR OPTIMAL PERTURBATION WITH PARAMETERIZATION “ON-OFF” SWITCHES INCLUDED BY A MODEL

In the typhoon adaptive observation based on conditional nonlinear optimal perturbation (CNOP), the ‘on-off’ switch caused by moist physical parameterization in prediction models prevents the conventional adjoint method from providing correct gradient during the optimization process. To address this problem, the capture of CNOP, when the "on-off" switches are included in models, is treated as non-smooth optimization in this study, and the genetic algorithm (GA) is introduced. After detailed algorithm procedures are formulated using an idealized model with parameterization "on-off" switches in the forcing term, the impacts of "on-off" switches on the capture of CNOP are analyzed, and three numerical experiments are conducted to check the effectiveness of GA in capturing CNOP and to analyze the impacts of different initial populations on the optimization result. The result shows that GA is competent for the capture of CNOP in the context of the idealized model with parameterization ‘on-off’ switches in this study. Finally, the advantages and disadvantages of GA in capturing CNOP are analyzed in detail.

RESEARCH ON AUTOMATIC FOG IDENTIFICATION TECHNOLOGY BY METEOROLOGICAL SATELLITE REMOTE SENSING

There is an urgent need for the development of a method that can undertake rapid, effective, and accurate monitoring and identification of fog by satellite remote sensing, since heavy fog can cause enormous disasters to China’s national economy and people's lives and property in the urban and coastal areas. In this paper, the correlative relationship between the reflectivity of land surface and clouds in different time phases is found, based on the analysis of the radiative and satellite-based spectral characteristics of fog. Through calculation and analyses of the relative variability of the reflectivity in the images, the threshold to identify quasi-fog areas is generated automatically. Furthermore, using the technique of quick image run-length encoding, and in combination with such practical methods as analyzing texture and shape fractures, smoothness, and template characteristics, the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied, with good results in application.