Observation of Low-Level Jets in the Eastern Tropical Indian Ocean Based on Shipborne Coherent Doppler Lidar

被引:0
|
作者
WANG Haiyuan [1 ,2 ,3 ]
LIU Lin [1 ,2 ,3 ]
FAN Mengqi [4 ]
YANG Yang [1 ,3 ]
YANG Guang [1 ,3 ]
DUAN Yongliang [1 ,3 ]
LIU Baochao [1 ,3 ]
SU Qinglei [1 ,3 ]
ZHANG Binbin [1 ]
WANG Fengjun [1 ]
SHI Xuliang [1 ]
LI Qiuchi [1 ]
ZENG Ai [1 ,5 ]
机构
[1] First Institute of Oceanography, Ministry of Natural Resources and Laboratory for Regional Oceanography and Numerical Modeling, Qingdao Marine Science and Technology Center
[2] Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
[3] Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources
[4] Qingdao Leice Transient Technology Co, Ltd
[5] Qingdao Innovation and Development Base of Harbin Engineering
关键词
D O I
暂无
中图分类号
P714.2 [];
学科分类号
0706 ; 070601 ;
摘要
In contrast to the Pacific and Atlantic Oceans, the Indian Ocean has lacked in-situ observations of wind profiles over open sea areas for decades. In 2021, a shipborne coherent Doppler lidar(CDL) was used to observe in-situ wind profiles in the eastern tropical Indian Ocean. This equipment successfully captured low-level jets(LLJs) in the region, and their characteristics were thoroughly analyzed. Results reveal that the observed wind speed of LLJs in the eastern Indian Ocean ranges from 6-1 m s-1 to 10 m s during the boreal winter and spring seasons, showing a height range of 0.6 to 1 km and two peak times at 0800 and 2000 UTC. This wind shear is weaker than that in land or offshore areas, ranging from 01 s-1 to 0.006 s-1. Moreover, the accuracy of the CDL data is compared to that of ERA5 data in the study area. The results indicate that the zonal wind from ERA5 data significantly deviated from the CDL measurement data, and the overall ERA5 data are substantially weaker than the in-situ observations. Notably, ERA5 underestimates northwestward LLJs.
引用
收藏
页码:1163 / 1172
页数:10
相关论文
共 50 条
  • [21] Nocturnal Low-level Jet Evolution in a Broad Valley Observed by Dual Doppler Lidar
    Damian, Thomas
    Wieser, Andreas
    Traeumner, Katja
    Corsmeier, Ulrich
    Kottmeier, Christoph
    METEOROLOGISCHE ZEITSCHRIFT, 2014, 23 (03) : 305 - 313
  • [22] Doppler lidar measurements of the Great Plains low-level jet: Applications to wind energy
    Banta, R. M.
    Pichugina, Y. L.
    Kelley, N. D.
    Jonkman, B.
    Brewer, W. A.
    14TH INTERNATIONAL SYMPOSIUM FOR THE ADVANCEMENT OF BOUNDARY LAYER REMOTE SENSING, 2008, 1
  • [24] AIRPORT LOW-LEVEL WIND SHEAR LIDAR OBSERVATION AT BEIJING CAPITAL INTERNATIONAL AIRPORT
    Zhang, Hongwei
    Wu, Songhua
    Wang, Qichao
    Liu, Bingyi
    Zhai, Xiaochun
    28TH INTERNATIONAL LASER RADAR CONFERENCE (ILRC 28), 2018, 176
  • [25] KINEMATICS AND THERMODYNAMICS OF THE LOW-LEVEL FLOW OVER THE SOUTHWEST INDIAN-OCEAN
    RAO, GV
    VANDEBOOGAARD, H
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1978, 59 (11) : 1546 - 1546
  • [26] Airport low-level wind shear lidar observation at Beijing Capital International Airport
    Zhang, Hongwei
    Wu, Songhua
    Wang, Qichao
    Liu, Bingyi
    Yin, Bin
    Zhai, Xiaochun
    INFRARED PHYSICS & TECHNOLOGY, 2019, 96 : 113 - 122
  • [27] Midsummer gap winds and low-level circulation over the eastern tropical Pacific
    Romero-Centeno, Rosario
    Zavala-Hidalgo, Jorge
    Raga, G. B.
    JOURNAL OF CLIMATE, 2007, 20 (15) : 3768 - 3784
  • [28] Features of nocturnal low level jet (NLLJ) observed over a tropical Indian station using high resolution Doppler wind lidar
    Ruchith, R. D.
    Raj, P. Ernest
    JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2015, 123 : 113 - 123
  • [29] Detecting the planetary boundary layer height from low-level jet with Doppler lidar measurements
    Moreira, G. de A.
    Marques, M. T. A.
    Nakaema, W.
    Moreira, A. C. de C. A.
    Landulfo, E.
    LIDAR TECHNOLOGIES, TECHNIQUES, AND MEASUREMENTS FOR ATMOSPHERIC REMOTE SENSING XI, 2015, 9645
  • [30] Future Space-Based Coherent Doppler Wind Lidar for Global Wind Profile Observation
    Ishii, Shoekn
    Okamoto, Kozo
    Okamoto, Hajime
    Kimura, Toshiyoshi
    Kubota, Takuji
    Imamura, Shunsuke
    Sakaizawa, Daisuke
    Fujihira, Koichi
    Matsumoto, Ayako
    Okabe, Izumi
    Sekiyama, Tsuyoshi T.
    Nishizawa, Tomoaki
    Takemi, Tetsuya
    Miyamoto, Yoshiaki
    Sato, Atsushi
    Oki, Riko
    Satoh, Masaki
    Iwasaki, Toshiki
    SPACE-BASED LIDAR REMOTE SENSING TECHNIQUES AND EMERGING TECHNOLOGIES, LIDAR 2023, 2024, : 37 - 46