Influence of water vapor distribution on the simulated track of Typhoon Hato (2017)
Autor: | Rong Fang, Jiaxin Chen, Zhongkuo Zhao, Shumin Chen, Weibiao Li, Mingsen Zhou, Chuying Mai |
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Rok vydání: | 2021 |
Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Track (disk drive) Flow (psychology) 0211 other engineering and technologies 02 engineering and technology Vorticity 01 natural sciences Atmosphere Weather Research and Forecasting Model Typhoon Earth and Planetary Sciences (miscellaneous) Environmental science Tropical cyclone Water vapor 021101 geological & geomatics engineering 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Natural Hazards. 109:2363-2380 |
ISSN: | 1573-0840 0921-030X |
Popis: | Predicting tropical cyclone (TCs) tracks is a primary concern in TC forecasting. Some TCs appear to move in a direction favorable for their development, beyond the influence of the steering flow. Thus, we hypothesize that TCs move toward regions with high water-vapor content in the lower atmosphere. In this study, four numerical experiments, including a control experiment and three sensitivity experiments, were performed using the Weather Research and Forecasting Model, to analyze the relationship between water vapor distribution and the track of Severe Typhoon Hato (2017). Observations validated the features reproduced in the control experiment. The sensitivity experiments were conducted to explore variations in the TC track under different water vapor environments. Results indicate that the horizontal distribution of water-vapor content exerted a greater impact on the TC track than the steering flow when both factors were significant. Further analysis revealed that the TC’s movement vector was between the direction of the steering flow and the direction toward the peak of vorticity increasing area. The peaks of vorticity increasing area were close to the peaks of water vapor increasing area, which also proved the effect of water vapor distribution on the TC track. These results are expected to improve TC track analysis and forecasting. |
Databáze: | OpenAIRE |
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