Estimating optical turbulence of atmospheric surface layer at Antarctic Taishan station from meteorological data

doi:10.7498/aps.66.039201

CORC > 合肥物质科学研究院 > 中国科学院合肥物质科学研究院 > 中科院安徽光学精密机械研究所

	Estimating optical turbulence of atmospheric surface layer at Antarctic Taishan station from meteorological data
	Wu Xiao-Qing 1; Tian Qi-Guo 2; Jin Xin-Miao 2; Jiang Peng 2; Qing Chun 1,4; Cai Jun 1,4; Zhou Hong-Yan 2,3
刊名	ACTA PHYSICA SINICA
	2017-02-01
卷号	66 期号:3 页码:1-9
关键词	Antarctic Astronomy Optical Turbulence Estimating Method Sensitivity Analysis
DOI	10.7498/aps.66.039201
文献子类	Article
英文摘要	Turbulence intensity in the near-surface layer and its decrease rate with height are closely related to the quality of potential sites. Astronomers have been pursuing a perfect astronomical site to place the large-aperture telescopes. Compared with the best mid-latitude sites, Antarctic plateau inevitably becomes an ideal site for building the nextgeneration large optical and infrared telescopes, which is because of its low infrared sky emission, low atmospheric precipitable water vapour content, low aerosol and dust content of the atmosphere, and light pollution. In this paper, we establish a model of the atmospheric optical turbulence in surface layer, and use it to estimate C-n(2) at Antarctic Taishan station for the first time. The meteorological parameters of the model input are the data measured by a mobile atmospheric parameter measurement system at Antarctic Taishan station from 30 December 2013 to 10 February 2014. The values of C-n(2), estimated by the model and measured by a micro-thermometer, are compared. Sensitivity analysis of the estimation method is also carried out. The measurement results and analyses show that C2n obtained at Taishan station has obvious diurnal variation characteristics, with well-behaved peaks in the daytime and nighttime, and minima near sunrise and sunset. C-n(2) obtained in the nighttime is stronger than that in daytime, more specifically, it is on the order of 2 *10(14)m(2/3). The comparison between model predictions and experimental data demonstrates that it is feasible to estimate C-n(2) in Antarctic by using this model. The biggest differences between C-n(2) values obtained from the model and measurement usually emerge at sunrise and sunset, respectively. Considering the fact that Antarctic atmosphere is in a stable state most of the time, the values of C-n(2) estimated by different nondimensional structure parameter functions are nearly the same. Thus, the measurement accuracy of air temperature difference from one height to another is the main factor that affects the estimated value of C-n(2).
WOS研究方向	Physics
语种	英语
WOS记录号	WOS:000397300600034
资助机构	National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; National Natural Science Foundation of China(41275020 ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Polar Science Innovation Fund for Young Scientists of Polar Research Institute of China(CX20130201) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Shanghai Natural Science Foundation, China(14ZR1444100) ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; Chinese Polar Environment Comprehensive Investigation and Assessment Programs(CHINARE-2013-02-02 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; 41576185 ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; CHINARE-2014-02-03) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023) ; 11503023)
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/32898]
专题	合肥物质科学研究院_中科院安徽光学精密机械研究所
作者单位	1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Composit & Opt Radiat, Hefei 230031, Peoples R China 2.Polar Res Inst China, Shanghai 200136, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China 4.Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Wu Xiao-Qing,Tian Qi-Guo,Jin Xin-Miao,et al. Estimating optical turbulence of atmospheric surface layer at Antarctic Taishan station from meteorological data[J]. ACTA PHYSICA SINICA,2017,66(3):1-9.
APA	Wu Xiao-Qing.,Tian Qi-Guo.,Jin Xin-Miao.,Jiang Peng.,Qing Chun.,...&Zhou Hong-Yan.(2017).Estimating optical turbulence of atmospheric surface layer at Antarctic Taishan station from meteorological data.ACTA PHYSICA SINICA,66(3),1-9.
MLA	Wu Xiao-Qing,et al."Estimating optical turbulence of atmospheric surface layer at Antarctic Taishan station from meteorological data".ACTA PHYSICA SINICA 66.3(2017):1-9.