The climatological analysis of the lower atmospheric ducts in South China Sea

WANG Haibin; ZHANG Lijun; WANG Hongguang

doi:10.13443/j.cjors.2019010701

Volume 34 Issue 5

Oct. 2019

Turn off MathJax

Article Contents

Abstract

References

CHINESE JOURNAL OF RADIO SCIENCE > 2019 > 34(5): 633-642. > DOI: 10.13443/j.cjors.2019010701

WANG Haibin, ZHANG Lijun, WANG Hongguang. The climatological analysis of the lower atmospheric ducts in South China Sea[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(5): 633-642. doi: 10.13443/j.cjors.2019010701

Reference format:

PDF (106742 KB)

The climatological analysis of the lower atmospheric ducts in South China Sea

China Research Institute of Radiowave Propagation, Qingdao 266107, China

More Information

Received Date: January 06, 2019
Available Online: December 30, 2020
Published Date: October 29, 2019

Graphical Abstract

Abstract

Abstract

Based on the Global Telecommunication System(GTS) data from 2014 to 2016, a statistical analysis from eight radiosonde stations data near South China Sea(SCS)is given in this paper. We obtained the annual duct parameters and probability distribution characteristics of the lower atmospheric ducts. Annual statistics show that the probability of surface duct occurrence in the South China Sea is about 20%, and most surface duct heights are below 100 m and the duct intensity is smaller than 10 M. The probability of elevated duct occurrence is about 50%. The parameters of top height, bottom height and bottom height of elevated duct are generally between 1 000 and 2 500 m, and the intensity is 4 M-15 M. The spatial distribution of atmospheric duct is high in the middle part and low in the north and south part, which is related to the inter tropical convergence zone(ITCZ). Monthly statistics show that there are obvious monthly variations in the northern and central South China Sea, which closely relates to the South China Sea monsoon, while the variations are not obvious in the southern South China Sea area (the area near the equator). These statistical analysis results can serve as a reference for radar and communication system working or operating in this sea area.
- South China Sea,
- lower atmospheric ducts,
- occurrence probability,
- monthly distribution

FullText(HTML)

References (16)

References

[1]	张永刚, 焦林, 张旭, 等.海洋声光电波导效应及应用[M].北京:电子工业出版社, 2014.
[2]	HITNEY H V, RICHTER J H, PAPPPERT R A. Tropospheric radio propagation assement[J]. Proceedings of the IEEE, 1985, 73(2):265-283. doi: 10.1109/PROC.1985.13138
[3]	蔺发军, 刘成国, 成思, 等.海上大气波导的统计分析[J].电波科学学报, 2005, 20(1):64-68. doi: 10.3969/j.issn.1005-0388.2005.01.014 LIN F J, LIU C G, CHENG S, et al. Statistical analysis of marine atmospheric duct[J]. Chinese journal of radio science, 2005, 20(1):64-68.(in Chinese) doi: 10.3969/j.issn.1005-0388.2005.01.014
[4]	TWIGG K L. A smart climatology of evaporation duct height and surface radar propagation in the Indian Ocean[D]. Monterey: Naval Postgradulate School, 2007.
[5]	RAMSAUR D. Climate analysis and long range forecasting of radar performance in the western north pacific[J]. Monterey:Naval Postgradulate School, 2009. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dHJ9fByWEaorja5yJ8AxhwhcOhEMlNOljqo3LI5BU8A=
[6]	MCKEON B D. Climate analysis of evaporation ducts in the South China Sea[D]. Monterey: Naval Postgradulate School, 2013.
[7]	杨坤德, 马远良, 史阳.西太平洋蒸发波导的时空统计规律研究[J].物理学报, 2009, 58(10):7339-7350. http://d.old.wanfangdata.com.cn/Periodical/wlxb200910112 YANG K D, MA Y L, SHI Y. Spatio-temporal distributions of evaporation duct for the West Pacific Ocean[J]. Acta physica sinica, 2009, 58(10):7339-7350. (in Chinese) http://d.old.wanfangdata.com.cn/Periodical/wlxb200910112
[8]	郭相明, 康士峰, 韩杰, 等.蒸发波导数据库及中国海域的统计分析[J].电波科学学报, 2013, 28(6):1152-1157+1182. http://www.cjors.cn/CN/abstract/abstract954.shtml GUO X M, KANG S F, HAN J, et al. Evaporation duct database and statistical analysis for the Chinese Sea Areas[J]. Chinese journal of radio science, 2013, 28(6):1152-1157+1182. (in Chinese) http://www.cjors.cn/CN/abstract/abstract954.shtml
[9]	焦林, 李云波, 张永刚.中国近海蒸发波导区划研究[J].海洋技术学报, 2017, 36(3):7-12. http://d.old.wanfangdata.com.cn/Periodical/hyjs201703002 JIAO L, LI Y B, ZHANG Y G. Research on the distribution of evaporation duct in China's offshore areas[J]. Journal of ocean technology, 2017, 36(3):7-12. (in Chinese) http://d.old.wanfangdata.com.cn/Periodical/hyjs201703002
[10]	刘成国, 潘中伟, 郭丽, 等.中国低空大气波导出现概率和波导特征量的统计分析[J].电波科学学报, 1996, 11(2):60-66. LIU C G, PAN Z W, GUO L, et al. Statistical analysis of occurrence and characteristics of atmospheric duct in china[J]. Chinese journal of radio science, 1996, 11(2):60-66. (in Chinese)
[11]	WANG H, TANG H C, JIAO L, et al. The statistic and analysis of atmospheric ducts using ECMWF global analysis fields[C]//The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE2018), 2018.
[12]	郝晓静, 李清亮, 郭立新, 等.北极大气波导时空分布研究[J].极地研究, 2018, 30(4):349-359. http://d.old.wanfangdata.com.cn/Periodical/jdyj201804001 HAO X J, LI Q L, GUO L X, et al. Spatial and temporal features of atmospheric ducts over the north pole[J]. Chinese journal of polar research, 2018, 30(4):349-359. (in Chinese) http://d.old.wanfangdata.com.cn/Periodical/jdyj201804001
[13]	成印河, 赵振维, 张玉生.季风期间南海低空大气波导统计分析[J].电波科学学报, 2012, 27(2):268-274. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201201703613 CHENG Y H, ZHAO Z W, ZHANG Y S. Statistical analysis of the lower atmospheric ducts during monsoon period over the South China Sea[J]. Chinese journal of radio science, 2012, 27(2):268-274. (in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK201201703613
[14]	赵小峰, 王东晓, 黄思训, 等.南中国海及热带东印度洋大气波导统计分析[J].科学通报, 2013, 58(27):2862. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201327016 ZHAO X F, WANG D X, HUANG S X, et al. Statistical estimations of atmospheric duct over the South China Sea and the Tropical Eastern Indian Ocean[J]. Chinese science bulletin, 2013, 58(27):2862.(in Chinese) http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kxtb201327016
[15]	谢益溪, J.拉菲涅特, J.P.蒙, 等.电波传播, 超短波.微波.毫米波[M].北京: 电子工业出版社, 1990.
[16]	杨彩福, 焦新龙, 彭灿.热带辐合带与南海气候[J].海洋通报, 2003, 22(6):83-87. doi: 10.3969/j.issn.1001-6392.2003.06.013 YANG C F, JIAO X L, PENG C. The tropical belt of convergence and the climate of South China Sea[J]. Marine science bulletin, 2003, 22(6):83-87. (in Chinese) doi: 10.3969/j.issn.1001-6392.2003.06.013

[1]	ZHANG Hongbo, WANG Feifei, HAO Shuji, ZHEN Weimin. Occurrence probability prediction model of ionospheric scintillation for the low-latitude region[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2023, 38(4): 691-697. DOI: 10.12265/j.cjors.2023026
[2]	ZHANG Lijun, WANG Hongguang, LI Jianru, ZHANG Chao, HAN Jie, WANG Qiannan, ZHU Qinglin. Experimental analysis of lower atmospheric duct monitoring based on AIS signal[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2023, 38(1): 108-113. DOI: 10.12265/j.cjors.2021339
[3]	HUANG Lifeng, LIU Chengguo, JIANG Mingbo, ZHOU Yufeng, ZHANG Lijun. Statistical analysis of the occurrence probability and the characteristics of the lower atmospheric ducts in the Yellow Sea[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2022, 37(6): 1080-1088. DOI: 10.12265/j.cjors.2021311
[4]	CHENG Yinhe, XU Jianhui, ZHANG Yusheng, GUO Xiangming, YOU Zhiwei. Influence of sea surface temperature on numerical simulation of lower atmospheric duct over the South China Sea[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2022, 37(1): 40-47. DOI: 10.12265/j.cjors.2021004
[5]	ZHANG Juyi, DING Jiaqi, ZHAO Xiaofeng. Statistical analysis of atmospheric ducts in the South China Sea based on GPS sounding[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2020, 35(6): 841-846. DOI: 10.13443/j.cjors.2020071501
[6]	ZHANG Hongbo, WANG Feifei, XU Liang, SHENG Dongsheng, LIU Yumei. A seasonal variation model of ionospheric scintillation occurrences with the equinoctial asymmetry[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2019, 34(2): 180-185. DOI: 10.13443/j.cjors.2018012402
[7]	DU Peng, CHE Haiqin, MAN Li. Distribution characteristics of the summertime sporadic E in East Asia[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2016, 31(5): 969-977. DOI: 10.13443/j.cjrs.2016032801
[8]	CHENG Yinhe, ZHANG Yusheng, ZHAO Zhenwei, ZHU Fengqin. Analysis on the evaporation duct environment near coast of the northern South China Sea in winter[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(4): 693-699.
[9]	CHENG Yin-he, ZHAO Zhen-wei, ZHANG Yu-sheng. Statistical analysis of the lower atmospheric ducts during monsoon period over the South China Sea[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(2): 268-274.
[10]	CUI Yao-zhong, WEI Guang-hui, FAN Li-si, PAN Xiao-dong, JIA Ming-jie. Effect of key arrangement on field distribution in reverberation chamber[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2011, 26(6): 1107-1112.

Cited By

Cited by

Periodical cited type(10)

1.	成印河，钟卫，赵彬彬，乔文丽，李晓冉. 基于探空数据的南海悬空波导预测模型研究. 海洋预报. 2024(06): 44-52 .
2.	康士峰，张玉生，王红光，郭相明. 对流层大气波导超视距传播技术研究与展望. 电波科学学报. 2023(04): 610-624 . 本站查看
3.	汪文杰，许佳立，黄贤青，贾东宁. 基于海洋安全的大气波导观测方法研究. 海洋科学. 2022(01): 112-122 .
4.	王玉震，周婷，徐碧莲. 基于气象信息的5G远程干扰分析与抑制方案. 现代电子技术. 2022(04): 1-6 .
5.	成印河，徐剑辉，张玉生，郭相明，游志伟. 南海海域海表面温度对低空大气波导数值模拟的影响研究. 电波科学学报. 2022(01): 40-47 . 本站查看
6.	胡昊，丁菊丽，张羽，赵小峰，葛晶晶，梁志超. 一次伴随雷达异常地物回波的超视距探测成因分析与数值模拟研究. 电波科学学报. 2022(02): 189-197 . 本站查看
7.	黄立峰，刘成国，姜明波，周育锋，张利军. 黄海海域低空大气波导发生概率和特征量统计分析. 电波科学学报. 2022(06): 1080-1088 . 本站查看
8.	成印河，杨欣坤，张玉生，游志伟. 基于ECMWF数据的中国近海低空波导特征研究. 海洋与湖沼. 2021(01): 86-96 .
9.	张钜一，丁佳奇，赵小峰. 基于GPS探空数据的南海海域大气波导特征分析. 电波科学学报. 2020(06): 841-846 . 本站查看
10.	张玉生，郭相明，赵强，赵振维，康士峰. 大气波导的研究现状与思考. 电波科学学报. 2020(06): 813-831 . 本站查看

Other cited types(3)

Get Citation

PDF

XML

Article views (155) PDF downloads (50) Cited by(13)

Latest Notice

The climatological analysis of the lower atmospheric ducts in South China Sea

Abstract

References

Related Articles

Cited by

Periodical cited type(10)

Other cited types(3)

Catalog

Related

Latest Notice

The climatological analysis of the lower atmospheric ducts in South China Sea

Abstract

References

Related Articles

Cited by

Periodical cited type(10)

Other cited types(3)

Catalog

Related

Export File

Citation

Format

Content