Xiao Huadong, Sun Jing, Sun Chaoyang, et al. Design of CMA S2S data archive center and key technology. J Appl Meteor Sci, 2017, 28(5): 632-640. DOI:  10.11898/1001-7313.20170511.
Citation: Xiao Huadong, Sun Jing, Sun Chaoyang, et al. Design of CMA S2S data archive center and key technology. J Appl Meteor Sci, 2017, 28(5): 632-640. DOI:  10.11898/1001-7313.20170511.

Design of CMA S2S Data Archive Center and Key Technology

DOI: 10.11898/1001-7313.20170511
  • Received Date: 2017-02-04
  • Rev Recd Date: 2017-08-14
  • Publish Date: 2017-09-30
  • S2S, sub-seasonal to seasonal prediction project, is a WWRP/THORPEX-WCRP joint research project established to improve forecast skill and understanding on the sub-seasonal to seasonal time scale, and promote its uptake by operational centers and exploitation by the applications community. To achieve many of these goals, the establishment of an extensive data base of sub-seasonal (up to 60 days) forecasts and reforecasts (sometimes known as hindcasts) is advocated. Managing an extensive data base for the sub-seasonal time scale is a challenging task for the diverse characteristic of these forecasts (e.g., start dates, length of the forecasts, average periods, and updating frequency of forecasts).Open access to forecast data and user interface friendly data bases are important requirements for construction of S2S archiving data. CMA, one of two S2S data archive centers, is responsible for collecting S2S data from all data providers, performing basic quality check, archiving and storing data, and providing data service. The traditional FTP and a simple data downloading program based on ECMWF WebAPI is used to collecting data provided by all eleven S2S data centers. The data synchronization with another archive center of ECMWF is implemented by applying the combination strategies of common routine data transfer through FTP, ECMWF WebAPI based data download for missing reforecast data, and transferring missing real-time data copied from tapes directly by MARS system command. The file of compressed format TAR and GRIB2 is checked by executing command of tar and grib_get and its return value. A program based on the tigge_check command provided by GRIB_API is also developed to check the attribute of GRIB2 data, since all S2S data are saved as GRIB2 format. Through using GRIB_API command of grib_filter and designing a unified data form organized by a single center, a single date and a single meteorological parameter field, the unified S2S data are created to store in the online storage system which makes fast retrieval of data possible and open access. In the meantime, the unified form of S2S data file could be easily obtained their real storage addresses by their file names. The S2S data portal provides both free text and faceted search method to access forecast and reforecast data in the format of GRIB2 and NetCDF through online converting the data format.CMA S2S archive center is in operation since 15 November 2015. With the availability of data of all data providers, the construction of S2S archive center will be continued to improve the in-time of data integrity and data access methods.
  • Fig. 1  The flow of S2S project data collecting, archiving, and service

    Fig. 2  The flow of splitting GRIB data

    Fig. 3  Download page of CMA S2S data portal

    Table  1  Centers that provide data to the S2S project together with the configuration of their systems

    模式 预报时长/d 分辨率 近实时集合预报 回算集合预报
    成员 频次 类型 预报时段 成员 频次
    BoM 0~60 T47L17 33 2次/周 固定 1981—2013年 33 6次/月
    CMA 0~60 T106L40 4 1次/d 固定 1994—2014年 4 1次/d
    ECCC 0~35 0.6°×0.6°L40 21 1次/周 动态 1995—2014年 4 1次/周
    ECMWF 0~46 T639-319L91 51 2次/周 动态 过去20年 11 2次/周
    HMCR 0~63 1.1°×1.4°L28 20 1次/周 动态 1985—2010年 10 1次/周
    ISAC 0~32 0.75°×0.56°L54 40 1次/周 固定 1981—2010年 1 6次/月
    JMA 0~34 T319L60 25 2次/周 固定 1981—2010年 5 3次/月
    KMA 0~60 N216L85 4 1次/d 动态 1996—2009年 3 4次/月
    CNRM 0~61 T255L91 51 1次/月 固定 1993—2014年 15 2次/月
    NCEP 0~44 T126L64 16 1次/d 固定 1999—2010年 4 1次/d
    UKMO 0~60 N216L85 4 1次/d 动态 1996—2009年 3 4次/月
    DownLoad: Download CSV

    Table  2  Status of S2S data acquisition

    中心 实时预报 回算预报
    每次数据量/GB 产生频次 接收起始日期 数据量/GB 每次数据量/GB 产生频次 预报时长/a 接收起始日期 接收数据量/GB
    CMA 1.2 1次/d 2015-01-01 718 1.2 1次/d 21 01-01 9198
    ECMWF 8 2次/周 2015-03-05 1236 16 2次/周 20 04-23
    12 2次/周 2015-05-14 50 2次/周 05-25 4575
    NCEP 2.7 1次/d 2015-04-29 954 7.8 1次/d 12 03-31 2800
    JMA 3.3 2次/周 2015-06-09 224 3次/月 32 01-01 900
    BoM 3.6 2次/周 2015-04-19 362 2.75 6次/月 33 01-01 7400
    CNRM 22 1次/月 2015-04-01 405 2次/月 22 01-01 3300
    KMA 0.89 1次/d 2016-01-05 106 9.66 4次/月 14 01-01 114
    HMCR 5.3 1次/周 2015-11-25 151 1次/周 26
    ECCC 2.7 1次/周 2016-07-07 16 10.2 1次/周 20 07-07 60
    UKMO 1.6 1次/d 2015-12-01 316 27.6 4次/月 23 03-01 687
    ISAC 6.6 1次/周 2015-11-23 241 1次/5 d 32
    DownLoad: Download CSV

    Table  3  Increasing volume of S2S data by year

    中心 实时预报/GB 回算预报/GB
    CMA 445
    ECMWF 1248 5200
    NCEP 986
    JMA 343
    BoM 374
    CNRM 264
    KMA 325
    HMCR 276
    ECCC 140
    UKMO 584
    ISAC 343
    DownLoad: Download CSV
  • [1]
    Hoskins B.The potential for skill across the range of the seamless weather-climate prediction problem:A stimulus for our science.Quart J Roy Meteor Soc, 2013, 139:573-584. doi:  10.1002/qj.v139.672
    [2]
    Vitart F, Ardilouze C, Bonet A, et al.The sub-seasonal to seasonal prediction (S2S) project database.Bull Amer Meteor Soc, 2017, 98:163-173, DOI: 10.1175/BAMS-D-16-0017.1.
    [3]
    齐艳军, 容新尧.次季节-季节预测的应用前景与展望.气象科技进展, 2014, 4(3):74-75. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKZ201403021.htm
    [4]
    任宏利, 吴捷, 赵崇博, 等.MJO预报研究进展.应用气象学报, 2015, 26(6):658-668. doi:  10.11898/1001-7313.20150602
    [5]
    Bougeault P, Toth Z, Bishop C, et al.The THORPEX interactive grand global ensemble (TIGGE).Bull Amer Met Soc, 2010, 91:1059-1072. doi:  10.1175/2010BAMS2853.1
    [6]
    Richard S, Masayuki K, Piers B, et al.The TIGGE project and its achievements.Bull Amer Meteor Soc, 2016, 1, DOI: 10.1175/BAMS-D-13-00191.1.
    [7]
    卞晓丰.交互式全球集合预报产品数据管理应用研究.科研信息化技术与应用, 2013, 4(6):64-70. http://www.cnki.com.cn/Article/CJFDTOTAL-KYXH201306008.htm
    [8]
    沈文海, 赵芳, 高华云, 等.国家级气象资料存储检索系统的建立.应用气象学报, 2004, 15(6):727-736. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040690&flag=1
    [9]
    李集明, 沈文海, 王国复.气象信息共享平台及其关键技术研究.应用气象学报, 2006, 17(5):621-628. doi:  10.11898/1001-7313.20060505
    [10]
    高峰, 王国复, 喻雯, 等.气象数据文件快速下载服务系统的设计与实现.应用气象学报, 2010, 21(2):243-249. doi:  10.11898/1001-7313.20100215
    [11]
    马渝勇, 徐晓莉, 宋智, 等.省级气象信息共享系统的设计与实现.应用气象学报, 2011, 22(4):505-512. doi:  10.11898/1001-7313.20110414
    [12]
    李永生, 曾沁, 徐美红, 等.基于Hadoop的数值预报产品服务平台设计与实现.应用气象学报, 2015, 26(1):122-128. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20150113&flag=1
    [13]
    熊安元, 赵芳, 王颖, 等.全国综合气象信息共享系统的设计与实现.应用气象学报, 2015, 26(4):500-512. doi:  10.11898/1001-7313.20150412
    [14]
    WMO.Guide to the WMO Table Driven Code Form Used for the Representation and Exchange of Regularly Spaced Data In Binary Form:FM 92 GRIB Edition 2.[2016-07-15].http://www.wmo.int/pages/prog/www/WMOCodes/Guides/GRIB/GRIB2_062006.pdf.
    [15]
    Access MARS-ECMWF WebAPI.[2016-07-15].https://software.ecmwf.int/wiki/display/WEBAPI/Access+MARS.
    [16]
    肖华东, 孙婧, 张玺, 等.MARS软件在数值预报模式产品数据管理中的应用.应用气象学报, 2016, 26(2):247-256. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20150213&flag=1
    [17]
    ECMWF Operations Department.MARS Use Guide.[2016-07-15].http://www.ecmwf.int/publication/manuals/mars/guide/userguide.pdf.
    [18]
  • 加载中
  • -->

Catalog

    Figures(3)  / Tables(3)

    Article views (4580) PDF downloads(378) Cited by()
    • Received : 2017-02-04
    • Accepted : 2017-08-14
    • Published : 2017-09-30

    /

    DownLoad:  Full-Size Img  PowerPoint