ZHAO Jingyang, SONG Shuli, ZHU Wenyao. Accuracy Assessment of Applying ERA-Interim Reanalysis Data toCalculate Ground-based GPS/PWV over China[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 935-939. DOI: 10.13203/j.whugis20120006
Citation: ZHAO Jingyang, SONG Shuli, ZHU Wenyao. Accuracy Assessment of Applying ERA-Interim Reanalysis Data toCalculate Ground-based GPS/PWV over China[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8): 935-939. DOI: 10.13203/j.whugis20120006

Accuracy Assessment of Applying ERA-Interim Reanalysis Data toCalculate Ground-based GPS/PWV over China

Funds: The National Natural Science Foundation of China,Nos.10603011,11273048;the National High Technology Re-search and Development Program of China(863Program),No.2009AA12Z307.
More Information
  • Author Bio:

    ZHAO Jingyang,PhD candidate,specializes in space geodesy and GNSS meteorology.

  • Received Date: January 14, 2013
  • Revised Date: August 04, 2014
  • Published Date: August 04, 2014
  • Objective Meteorological parameters are needed when ground-based GPS is used for the detection ofPWV(precipitable water vapor).However,a large amount of GPS data has not been sufficiently usedbecause of the lack of related meteorological data.In this paper,the methods and feasibility of deri-ving meteorological parameters from ERA-Interim reanalysis data and calculating GPS/PWV with theextracted parameters in China are assessed.The atmospheric pressure,temperature and relative hu-midity derived from ERA-Interim are compared with meteorological observation data at 24meteoro-logical stations from 2006to 2007,and the GPS/PWV calculated from the two data sets are also con-trasted.Results are as follows:① Atmospheric pressure derived from upper-air reanalysis data,tem-perature and relative humidity derived from surface reanalysis data,has relatively high precision.② The reanalysis parameters and meteorological observation data comparisons at 24stations show amean bias of 0.08hpa and a RMSD of 0.85hpa with atmospheric pressure,a mean bias of 0.05Kanda RMSD of 2.45Kwith temperature,a mean bias of 2.82%and a RMSD of 14.75% with relative hu-midity.③ The ERA-Interim reanalysis data is more reliable in the east of China than in the west.Theprecision of temperature and relative humidity data show seasonal variation.④ As compared withGPS/PWV calculated by the meteorological observation data,the GPS/PWV calculated by the ERA-Interim data give a mean difference of less than 0.5mm and a RMSD of less than 1mm.
  • [1]
    Bevis M,Businger S,Heming T A,et al.GPS Me-teorology:Remote Sensing of Atmospheric WaterVapor Using the Global Positioning System[J].Journal of Geophysical Research,1992,97(D14):15787-15801[2] Schueler T.On Ground-based GPS TroposphericDelay Estimation[D].Munich:Bundeswehr Univer-sity Munich,2001[3] Bai Zhengdong,Feng Yanming.GPS Water VaporEstimation Using Interpolated Surface Meteorologi-cal Data from Australian Automatic Weather Sta-tions[J].Journal of Global Positioning Systems,2003,2:83-89[4] Wang Junhong,Zhang Liangying,Dai Aiguo,et al.A Near-global,2-hourly Data Set of AtmosphericPrecipitable Water from Ground-based GPS Meas-urements[J].Journal of Geophysical Research,2007,112:D11107[5] Jade S,Vijayan M.GPS-based Atmospheric Precip-itable Water Vapor Estimation Using MeteorologicalParameters Interpolated from NCEP Global Reanal-ysis Data[J].Journal of Geophysical Research,2008,113:D03106[6] Andrei C O,Chen Ruizhi.Assessment of Time-se-ries of Troposphere Zenith Delays Derived from theGlobal Data Assimilation System Numerical Weath-er Model[J].GPS Solutions,2009,13:109-117[7] Li Chuan,Zhang Yanjun,Chen Jing.ClimaticChange of Qinghai-Xizang Plateau Region in Recent40-year Reanalysis and Surface Observation Data—Contrast of Observational Data and NCEP,ECM-WF Surface Air Temperature and Precipitation[J].Plateau Meteorology,2004,23:98-103(李川,张廷军,陈 静.近40年 青 藏 高 原 地 区 的 气 候 变 化—NCEP和ECMWF地面气温及降水再分析和实测资料对比分析[J].高原气象,2004,23:98-103)[8] He Lang,Wu Hongbao,Zhao Xiaochuan.A Com-parison of Basic Statistics Derived from NCEP/NCAR,ECMWF Reanalysis Data and CMA Data[J].Journal of Nanjing Institute of Meteorolo-gy,2009,31(1):54-63(何浪,吴洪宝,赵晓川.三种再分析资料基本统计量比较[J].南京气象学院学报,2009,31(1):54-63)[9] Zhao Tianbao,Fu Congbin.Applicability Evalua-tion for Several Reanalysis Datasets Using the Up-per-air Observations over China[J].Chinese Jour-nal of Atmospheric Sciences,2009,33(3):634-648(赵天保,符淙斌.应用探空观测资料评估几类再分析 资 料 在 中 国 区 域 的 适 用 性 [J].大 气 科 学,2009,33(3):634-648)[10]Zhu Yanliang,Ling Chao,Chen Hongbin,et al.Comparison of Two Reanalysis Data with the RS92Radiosonde Data[J].Climatic and EnvironmentalResearch,2012,17(3):381-391(朱彦良,凌超,陈洪滨,等.两种再分析资料与RS92探空资料的比较分析[J].气候与环境研究,2012,17(3):381-391)[11]Li Ruiqing,Lv Shihua,Han Bo,et al.PreliminaryComparison and Analyses of Air Temperature at 2m Height Between Three Reanalysis Datasets andObservation in the East of Qinghai-Xizang Plateau[J].Plateau Meteorology,2012,31(6):1488-1502(李瑞青,吕世华,韩博,等.青藏高原东部三种再分析资料与地面气温观测资料的对比分析[J].高原气象,2012,31(6):1488-1502)[12]Chen Qinming,Song Shuli,Stefan H,et al.As-sessment of ZTD Derived from ECMWF/NCEP Da-ta over China[J].GPS Solutions,2011,15(4):415-425[13]Dee D P,Uppala S M,Simmons A J,et al.TheERA-Interim Reanalysis:Configuration and Per-formance of the Data Assimilation System[J].Quarterly Journal of the Royal Meteorological So-ciety,2011,137:553-597[14]Sheng Peixuan,Mao Jietai,Li Jianguo,et al.At-mospheric Physics[M].Beijing:Beijing UniversityPress,2003(盛裴轩,毛节泰,李建国,等.大气物理学[M].北京:北京大学出版社,2003
  • Related Articles

    [1]YU Daocheng, HWANG Jinway, ZHU Huizhong, LUO Jia, YUAN Jiajia. Enhancing Marine Gravity Field Precision Using SWOT Wideswath Altimetry Data: a Comparative Analysis with Traditional Altimetry Satellites[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240120
    [2]HE Huiyou, FANG Jian. Gravity Anomaly Spectrum Analysis Method and Its Application[J]. Geomatics and Information Science of Wuhan University, 2023, 48(12): 2092-2102. DOI: 10.13203/j.whugis20200510
    [3]XING Zhibin, LI Shanshan, WANG Wei, FAN Haopeng. Fast Approach to Constructing Normal Equation During the Time of Calculating Height Anomaly Difference by Using Vertical Deflections[J]. Geomatics and Information Science of Wuhan University, 2016, 41(6): 778-783. DOI: 10.13203/j.whugis20140491
    [4]DU Jinsong, CHEN Chao, LIANG Qing, ZHANG Yi. Lunar Gravity Anomaly and Its Computational Method[J]. Geomatics and Information Science of Wuhan University, 2012, 37(11): 1369-1373.
    [5]LI Zhenhai, LUO Zhicai, WANG Haihong, ZHONG Bo. Requirements for Gravity Data Within the Given Accuracy of the Interpolated Gravity Anomaly[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1328-1331.
    [6]WU Yunsun, CHAO Dingbo, LI Jiancheng, WANG Zhengtao. Recovery of Ocean Depth Model of South China Sea from Altimetric Gravity Gradient Anomalies[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1423-1425.
    [7]WANG Haihong, NING Jinsheng, LUO Zhicai, LUO Jia. Separation of Gravity Anomalies Based on Multiscale Edges[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 109-112.
    [8]CHAO Dingbo, YAO Yunsheng, LI Jiancheng, XU Jusheng. Interpretaion on the Tectonics and Characteristics of Altimeter-derived Gravity Anomalies in China South Sea[J]. Geomatics and Information Science of Wuhan University, 2002, 27(4): 343-347.
    [9]Huang Motao, Guan Zheng, Ouyang Yongzhong. Calculation and Accuracy Estimation of Marine Mean Free-Air Gravity Anomaly[J]. Geomatics and Information Science of Wuhan University, 1995, 20(4): 327-331.
    [10]Guan Zelin, E Dongchen. The Computation of Geoidal Undulation Deflection of Vertical and Gravity Anomalies Using Clenshaw Summation[J]. Geomatics and Information Science of Wuhan University, 1986, 11(4): 75-82.
  • Cited by

    Periodical cited type(10)

    1. 费婷婷,丁晓婷,阙翔,林津,林健,王紫薇,刘金福. 基于SBM-DEA与STWR模型的中国能源碳排放效率时空异质性分析. 环境工程. 2024(10): 188-200 .
    2. 熊景华,郭生练,王俊,尹家波,李娜. 长江流域陆地水储量变化及归因研究. 武汉大学学报(信息科学版). 2024(12): 2241-2248 .
    3. 姜栋,赵文吉,王艳慧,万碧玉. 地理加权回归的城市道路时空运行态势空间网格计算方法. 武汉大学学报(信息科学版). 2023(06): 988-996 .
    4. 倪杰,吴通华,赵林,李韧,谢昌卫,吴晓东,朱小凡,杜宜臻,杨成,郝君明. 环北极多年冻土区碳循环研究进展与展望. 冰川冻土. 2019(04): 845-857 .
    5. 刘大元,张雪梅,岳跃民,王克林,邹冬生. 基于Geodetector的广西喀斯特植被覆盖变化及其影响因素分析. 农业现代化研究. 2019(06): 1038-1047 .
    6. 肖屹,何宗宜,苗静,潘峰,杨好. 利用搜索引擎数据模拟疾病空间分布. 测绘通报. 2018(02): 94-98 .
    7. 苗月鲜,方秀琴,吴小君,吴陶樱. 基于GWR模型的江西省山洪灾害区域异同性研究. 水土保持通报. 2018(01): 313-318+327 .
    8. 陈吕凤,朱国平. 基于地理加权模型的南设得兰群岛北部南极磷虾渔场空间分布影响分析. 应用生态学报. 2018(03): 938-944 .
    9. 张雪梅,王克林,岳跃民,童晓伟,廖楚杰,张明阳,姜岩. 生态工程背景下西南喀斯特植被变化主导因素及其空间非平稳性. 生态学报. 2017(12): 4008-4018 .
    10. 陈广威,陈吕凤,朱国平,徐玉成,田靖寰,丁博. 南乔治亚岛冬季南极磷虾渔场时空分布及其驱动因子. 生态学杂志. 2017(10): 2803-2810 .

    Other cited types(10)

Catalog

    Article views (1990) PDF downloads (650) Cited by(20)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return