Spatial structure of local winds “Rokko-oroshi”: A case study using Doppler lidar observation and WRF simulation

IF 2 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2025-02-19 DOI:10.1002/asl.1294

Hirotaka Abe, Hiroyuki Kusaka, Yasuhiko Azegami, Hideyuki Tanaka

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Abstract

Rokko-oroshi is a northerly local wind blowing in the mega-city Kobe, Japan. This wind blows from the Rokko Mountains. This study analyzed the three-dimensional structure of Rokko-oroshi observed with a near-surface anemometer and Doppler lidar on January 16, 2023. Furthermore, numerical simulations using the Weather Research and Forecasting (WRF) model revealed the factors responsible for the strong winds. The results showed that Rokko-oroshi on January 16, 2023 was a bora-type downslope windstorm. The Doppler lidar observed the strong winds of Rokko-oroshi and a stagnant layer immediately above them. Numerical simulation results indicated the stagnant layer was formed by mountain-wave breaking. Under this stagnant layer, the airflow transitioned from subcritical to supercritical, resulting in the strong winds of Rokko-oroshi. This Rokko-oroshi was accompanied by a hydraulic jump. The occurrence of the Rokko-oroshi was supported by an upper-level critical layer and a lower-level strong stable layer on the windward side of the Rokko Mountains.

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来源期刊

Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

4.90

自引率

3.30%

发文量

审稿时长

>12 weeks

期刊介绍： Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.