Overview of Low-Level Wind Shear Characteristics over Chinese Mainland

Lin, Chuwen; Zhang, Kaijun; Chen, Xintao; Liang, Sheng; Wu, Junjie; Zhang, Wei

doi:10.3390/atmos12050628

Cited by 13 publications

(3 citation statements)

References 13 publications

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“…In recent years, thanks to advancements in monitoring technology and forecasting capabilities, aviation accidents caused by weather-related factors have seen a significant reduction [37]. However, incidents involving aircraft unable to perform normal takeoffs and landings due to wind shear remain alarmingly common [83][84][85][86][87][88], and one significant cause of wind shear is a microburst. Dry microbursts, in particular, are challenging to detect and pose greater dangers.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Causes and Wind Field Structure of a Dry Microburst in a Weak Weather Background

Feng,

Zheng,

Pan

et al. 2023

Atmosphere

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Dry microbursts in weak weather backgrounds, due to their small scale and general lack of precipitation, are often difficult to observe using weather radar. On the night of 26 April 2023, a dry microburst occurred at the Yinchuan Airport. Based on conventional meteorological observations, Automated Weather Observing System (AWOS) data, and the Doppler Wind Lidar data, an analysis was conducted on the causes and wind field structure of this microburst. It was found that (1) the sounding data indicated a DCAPE value of 880 J·kg−1, which is important for forecasting the potential for dry microburst events; (2) the foehn from the Helan Mountains contributed to the occurrence of microburst weather at the Yinchuan Airport; (3) the Doppler Wind Lidar wind data showed distinct characteristics of the wind field during this microburst event, including a symmetric horizontal wind field structure, significant vertical downdraft velocities (reaching −5.76 m·s−1), and low-level wind shear over the airport runway and its vicinity; and (4) effective monitoring of such microburst weather events with the Doppler Wind Lidar wind measurements is crucial for ensuring aviation safety.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Causes and Wind Field Structure of a Dry Microburst in a Weak Weather Background

Feng,

Zheng,

Pan

et al. 2023

Atmosphere

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“…Overall, radar analysis results proved that the cause of LLWS at airports was strong convective clouds that come with an MBA. Several studies at several major Asian airports also found convective clouds to be the dominant trigger factor of LLWS [7], [24]. Such convective clouds are usually accompanied by gust front and MBA [6], [12].…”

Section: The Causes Of Llwsmentioning

confidence: 99%

Causes and impact of extreme Low Level Wind Shear (LLWS) event at Soekarno-Hatta International Airport

Ratnasari

Trilaksono²,

Septiadi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The impact of low-level wind shear (LLWS) is still a critical issue in aviation. These days, as the aviation industry grows, it must follow safety improvement efforts and transportation management, one of which is through the accurate publishing of LLWS early warning. Therefore, it takes a high understanding related to phenomena, especially at airports with busy schedules. This study examined the causes and impacts of pilot-reported LLWS on April 5, 2018, from 13:15 to 16:00 UTC at Soekarno-Hatta International Airport which is the busiest airport in Indonesia. The data used are Doppler weather radar, automated weather observing system (AWOS), as well as synoptic and upper air observations. Based on the result of this research, linear convective clouds created from deep convection due to very unstable atmospheric circumstances are the cause of LLWS. A sizeable line of convective cloud with a 50-55 dBZ reflectivity accompanied by an outflow microburst (MBA) was detected crashing the airport. Heavy rains and strong winds up to 15-20 m/s speeds from the line of convective cloud triggered the formation of destructive LLWS. Subsequently, there was traffic build-up at 5 flight holding points before landing. Furthermore, 7 flights (Airbus, Boeing, and CRJX) underwent go-around, and 3 flights (Airbus and Boeing) were diverted.

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“…In particular, convective rainfall is often accompanied by thunderstorms, strong winds, and strong windshear, with the characteristics of high intensity, fast change, and intermittent occurrence. According to the fast development of air transportation, it has become urgent to improve the detection and recognition ability of windshear in clean air as well as on rainy days to ensure aircraft safety and efficiency [2].…”

Section: Introductionmentioning

confidence: 99%

Windshear Detection in Rain Using a 30 km Radius Coherent Doppler Wind Lidar at Mega Airport in Plateau

Xia,

Chen,

Yuan

et al. 2024

Remote Sensing

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Convective weather is often accompanied by precipitation and windshear, seriously endangering the safety of aircraft during takeoff and landing. However, under rainfall conditions, conventional wind lidars have a limited detection range due to significant signal attenuation. To solve this problem, a 200 mm temperature-controlled telescope coated with a hydrophobic film is applied in the coherent Doppler wind lidar system to improve the detection capability in rain. The maximum detection range of the lidar is extended to 30 km and demonstrated at Kunming Changshui International Airport at an altitude of 2102 m. Firstly, the detection accuracy and maximum detection range of the lidar are verified. Through the analysis of the horizontal wind field under two typical convective weather conditions, it is found that convective weather often accompanies low-level convergence and divergence structures, leading to headwind shear and crosswind shear on the airport runway. From the vertical profile, it is shown that the triggering of convective weather is accompanied by low-level southwest winds and high-altitude northeastern winds. According to the statistics of wind speed and direction on clear and rainy days over 9 months, rainy days are usually caused by the invasion of cold air from Northeast China, resulting in airport windshear. In summary, the enhanced lidar can effectively identify and analyze windshear during rainy days, which is very useful for aviation safety, especially for takeoff and landing in all weather conditions.

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Overview of Low-Level Wind Shear Characteristics over Chinese Mainland

Cited by 13 publications

References 13 publications

Analysis of the Causes and Wind Field Structure of a Dry Microburst in a Weak Weather Background

Analysis of the Causes and Wind Field Structure of a Dry Microburst in a Weak Weather Background

Causes and impact of extreme Low Level Wind Shear (LLWS) event at Soekarno-Hatta International Airport

Windshear Detection in Rain Using a 30 km Radius Coherent Doppler Wind Lidar at Mega Airport in Plateau

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