Study of the Cn2 Model through the New Dimensionless Temperature Structure Function near the Sea Surface in the South China Sea

被引:0
|
作者
Wang, Feifei [1 ,2 ,3 ]
Zhang, Kun [1 ,3 ]
Sun, Gang [1 ,3 ]
Liu, Qing [1 ,3 ]
Li, Xuebin [1 ,3 ]
Luo, Tao [1 ,3 ]
机构
[1] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China
[2] Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230026, Peoples R China
[3] Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China
基金
中国国家自然科学基金;
关键词
optical turbulence; marine boundary layer; Monin-Obukhov similarity theory; the refractive index structure constant; MONIN-OBUKHOV SIMILARITY; INDEX STRUCTURE CONSTANT; STRUCTURE PARAMETER; STATISTICAL-ANALYSIS; OPTICAL TURBULENCE; 3-DIMENSIONAL WIND; SENSIBLE HEAT; LAYER FLUXES; MOMENTUM; STABILITY;
D O I
10.3390/rs15030631
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The refractive index structure constant C-n(2) near the ocean surface is an important parameter for studying atmospheric optical turbulence over the ocean. The measured refractive index structure constant and meteorological parameters, such as temperature and three-dimensional wind speed, near the sea surface on the South China Sea during the period from January to November 2020 were analyzed. On the basis of Monin-Obukhov similarity theory, the dimensionless temperature structure parameter function f(T) near the sea surface was established, and a new parameterized model of the near-sea surface was proposed. The new model improved the error of the widely used model proposed by Wyngaard in 1973 (W73) and better reproduced the daily variation in the measured C-n(2). Further analysis of the seasonal applicability of the new model indicated that the correlation coefficients between the estimated and measured C-n(2) in the spring, summer, autumn, and winter were 0.94, 0.94, 0.95, and 0.89, respectively, and the root mean square errors were 0.32, 0.41, 0.46, and 0.40 m(-2/3), respectively. Compared with the C-n(2) estimated by the W73 model, the correlation coefficient of C-n(2) estimated by the new model and measured by the micro-thermometer increased by 0.05-0.27 and the root mean square error decreased by 0.04-0.56. The improved f(T) demonstrated higher accuracy than the existing models, which can lay a foundation for estimating turbulence parameters in different sea areas.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Sea surface temperature in the South China Sea - an index for the Asian monsoon and ENSO system
    Ose, T
    Song, YK
    Kitoh, A
    JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1997, 75 (06) : 1091 - 1107
  • [42] Holocene hydrological and sea surface temperature changes in the northern coast of the South China Sea
    Wu, Mong-Sin
    Zong, Yongqiang
    Mok, Ka-Man
    Cheung, Ka-Ming
    Xiong, Haixian
    Huang, Guangqing
    JOURNAL OF ASIAN EARTH SCIENCES, 2017, 135 : 268 - 280
  • [43] Influence of sea surface temperature on the intraseasonal variability of the South China Sea summer monsoon
    Roxy, Mathew
    Tanimoto, Youichi
    CLIMATE DYNAMICS, 2012, 39 (05) : 1209 - 1218
  • [44] Sea surface temperature anomalies in the South China Sea during mature phase of ENSO
    Qiu Fuwen
    Pan Aijun
    Zhang Shanwu
    Cha Jing
    Sun Haowei
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2016, 34 (03): : 577 - 584
  • [45] Influence of sea surface temperature on the intraseasonal variability of the South China Sea summer monsoon
    Mathew Roxy
    Youichi Tanimoto
    Climate Dynamics, 2012, 39 : 1209 - 1218
  • [46] Influence of the South China Sea Biweekly Sea Surface Temperature on the South China Sea Summer Monsoon Especially during the Indian Ocean Dipole
    Vaid, B. H.
    Polito, P. S.
    ATMOSPHERE-OCEAN, 2016, 54 (01) : 48 - 59
  • [47] Improving sea surface temperature in a regional ocean model through refined sea surface temperature assimilation
    Iversen, Silje Christine
    Sperrevik, Ann Kristin
    Goux, Olivier
    OCEAN SCIENCE, 2023, 19 (03) : 729 - 744
  • [48] Structure and Function of Diterpenoids from the South China Sea Corals
    Zhang, W.
    Guo, Y. W.
    Kurtan, T.
    PLANTA MEDICA, 2013, 79 (10) : 846 - 846
  • [49] Interannual oscillation of meridional sea level wind and its impact on sea surface temperature in the South China Sea
    Zhou Fa-xiu
    Yu Shen-yu
    Liu Qi
    Chinese Journal of Oceanology and Limnology, 1998, 16 (1): : 9 - 16
  • [50] INTERANNUAL OSCILLATION OF MERIDIONAL SEA LEVEL WIND AND ITS IMPACT ON SEA SURFACE TEMPERATURE IN THE SOUTH CHINA SEA
    周发琇
    于慎余
    刘齐
    ChineseJournalofOceanologyandLimnology, 1998, (01) : 9 - 16