数据集描述信息

1、数据集描述信息数据集名称中文名称全球11度区域海温30年气候月平均英文名称数据集代码T8004-2/ DS010-6主题自由关键词海温学科主题词主题词主题词表描述The monthly optimum interpolation (OI) fields are derived by a linear interpolation of the weekly OI fields to daily fields then averaging the daily values over a month. The monthly fields are in the same format and spa

2、tial resolution as the weekly fields.The OI sea surface temperature (SST) analysis is produced weekly on a one-degree grid. The analysis uses in situ and satellite SSTs plus SSTs simulated by sea-ice cover. Before the analysis is computed, the satellite data is adjusted for biases using the method o

3、f Reynolds (1988) and Reynolds and Marsico (1993). A description of the OI analysis can be found in Reynolds and Smith (1994). The bias correction improves the large scale accuracy of the OI. Examples of the effect of recent corrections is given by Reynolds (1993).For the more recent period, 1990-pr

4、esent, the in situ data were obtained from radio messages carried on the Global Telecommunication System. The satellite observations were obtained from operational data produced by the National Environmental Satellite, Data and Information Service (NESDIS). During the period 1981-1989, the in situ d

5、ata were obtained from the Comprehensive Ocean Atmosphere Data Set (COADS) for the 1980s. These data (see Slutz, et al., 1985, and Woodruff, et al., 1993) consist of logbook and radio reports. The satellite data were obtained from analyses of NESDIS data produced at the University of Miamis Rosentie

6、l School of Marine and Atmospheric Sciences. The OI analysis is done over all ocean areas. There is no analysis over land. The land values are filled by a Cressman interpolation to produce a complete grid for possible interpolation. The ocean and land areas are defined by a land sea mask. 类型02数据量存储量

7、19.9MB记录数数据来源NCAR DS277.0数据集提供者134111更新频率01数据集时间创建时间1995-01-01最近修改时间2002-12-31发布时间语种ZH字符集URL离线媒体关联数据集关联数据集名称关联类型关联URL地址观测时次空间编排方式（包括：空间分辨率、空间编排方式、坐标系）经纬度网格分辨率：11经向：从179.5W向东排到179.5E共360点纬向：从89.5S向北排到89.5N共180个点。网格点数：36018064800注意：海表温度为11，经纬度网格内的区域平均值，上面给出的起始经纬度值是 11经纬度网格区域中心点的经纬度值垂直层统计特征气候月平均要素参数表要素

8、要素名称海温名称缩写度要素编码计量单位层次类型层次值网格类型经纬度样本类型统计特征气候月平均数据集范围信息学科范围一级分类170二级分类170.15时间范围时间点日期时间段开始时间日期1981.11结束时间日期1997.12空间范围地理名称行政区域名称地理区域名称经纬度范围点范围经度纬度平面范围东部经度-179.5西部经度179.5南部纬度-89.5北部纬度89.5范围描述地理标识数据质量信息数据质量状况数据志数据集分发信息数据的传输格式技术要求调用程序：CALL SSTCLIM（AA，IM，*）参数意义：AA 实型数组 360180，程序返回时为所调资料 IM 整型量，月 * 整型量，所调资

9、料没找到时，按此标号返回 如月为 13 则为陆海标志编译时需连接 -ldatabank 库数据提供方式访问限制使用约束收费策略权限管理访问时间联系信息联系人名称个人名称组织名称中国科学院大气物理研究所职称名称联系地址通讯地址北京市9804信箱邮政编码100029其他联系方式传真电子邮件URL联系时间24小时元数据参考信息元数据时间元数据创建时间2003-8最近修改时间2003-8联系信息联系人名称个人名称组织名称中国科学院大气物理研究所职称名称联系地址通讯地址北京市9804信箱100029邮政编码其他联系方式传真电子邮件URL联系时间24

10、小时元数据标准名称元数据标准版本 附 录: Program to read WEEKLY, MONTHLY compocp site, and CLIMATOLOGY grids. All grids are 1x1, (360,180), (longitude,latitude). Each global grid is preceeded by a single header record. The table below shows the meaning of the header record variables for each of the three SST data prod

11、ucts. IYRST IMST IDST IYREND IMEND IDEND NDAYS INDEX - - - - WEEKLY (start date, yr/mn/day) (end date, yr/mn/day) 7 ? MONTHLY (yr/mn/1) (yr/mn/day) days/mn ? CLIM. (99/mn/1) (99/mn/day) days/mn 0 - Note: numeric constants denote fixed place-holder values Following the header are integer SST values i

12、n degrees C time 100, with format (20I4). These data are read into integer array ISST, converted to degree C, and placed into real array SST. The geo-location of the SST array elements are: SST(1,1) = 179.5W, 89.5S SST(1,2) = 179.5W, 88.5S SST(2,1) = 178.5W, 89.5S SST(360,180) = 179.5E, 89.5N NOTES:

13、 1) all values less than or equal to -1.78 C are ice 2) a land/sea mask should be used to mask out OI SST analyzed values not located in the ocean, e.g. program ls.f and data file ls.datThe monthly optimum interpolation (OI) fields are derived by a linearinterpolation of the weekly OI fields to dail

14、y fields then averagingthe daily values over a month. The monthly fields are in the sameformat and spatial resolution as the weekly fields.The OI sea surface temperature (SST) analysis is produced weekly on aone-degree grid. The analysis uses in situ and satellite SSTs plusSSTs simulated by sea-ice

15、cover. Before the analysis is computed, thesatellite data is adjusted for biases using the method of Reynolds(1988) and Reynolds and Marsico (1993). A description of the OIanalysis can be found in Reynolds and Smith (1994). The bias correctionimproves the large scale accuracy of the OI. Examples of

16、the effect ofrecent corrections is given by Reynolds (1993).For the more recent period, 1990-present, the in situ data wereobtained from radio messages carried on the Global TelecommunicationSystem. The satellite observations were obtained from operational dataproduced by the National Environmental

17、Satellite, Data and InformationService (NESDIS). During the period 1981-1989, the in situ data were obtained from theComprehensive Ocean Atmosphere Data Set (COADS) for the 1980s. Thesedata (see Slutz, et al., 1985, and Woodruff, et al., 1993) consist oflogbook and radio reports. The satellite data

18、were obtained fromanalyses of NESDIS data produced at the University of Miamis RosentielSchool of Marine and Atmospheric Sciences. The OI analysis is done over all ocean areas. There is no analysisover land. The land values are filled by a Cressman interpolation toproduce a complete grid for possibl

19、e interpolation. The ocean and landareas are defined by a land sea mask. REFERENCESReynolds, R. W., 1988: A real-time global sea surface temperature analysis. J. Climate, 1, 75-86.Reynolds, R. W., 1993: Impact of Mount Pinatubo aerosols on satellite-derived Sea Surface Temperatures. J. Climate, 6, 7

20、68-774.Reynolds, R. W. and D. C. Marsico, 1993: An improved real-time global sea surface temperature analysis. J. Climate, 6, 114-119.Reynolds, R. W. and T. M. Smith, 1994: Improved global sea surface temperature analyses. J. Climate, 7, 929-948. Slutz, R. J., S. J. Lubker, J. D. Hiscox, S. D. Woodr

21、uff, R. L. Jenne, D. H. Joseph, P. M. Steuer, J. D. Elms, 1985: Comprehensive Ocean-Atmosphere Data Set: Release 1. NOAA Environmental Research Laboratory, Boulder, CO, 268 pp.Woodruff, S.D., S. J. Lubker, K. Wolter, S.J. Worley, and J.D. Elms, 1993: Comprehensive Ocean-Atmosphere Data Set (COADS) R

22、elease 1a: 1980-1992. Earth System Monitor, Vol. 4, No. 1, September 1993, NOAA. Climate Modeling Branch W/NP24 Environmental Modeling Center National Centers for Environmental Prediction World Weather Building, Room 807 5200 Auth Road Camp Springs, MD 20746 USA PHONE: (301) 763-8396 FAX: (301) 763-

23、8125 Abstract In response to the development of a new higher resolution seasurface temperature (SST) analysis at the National MeteorologicalCenter (NMC), a new monthly 1-degree global sea surface temperatureclimatology was constructed from two intermediate climatologies: the2-degree SST climatology

24、presently used at NMC and a 1-degree SSTclimatology derived from the new analysis. The 2-degree SST climatologyused a 30-year 1950-79 base period between roughly 40S and 60N based onin situ (ship and buoy) SST data supplemented by 4 years (1982-85) ofsatellite SST retrievals. The 1-degree SST climat

25、ology was based onmonthly analyses using in situ SST data, satellite SST retrievals, andsea-ice coverage data over a 12-year period (1982-93). The finalclimatology was combined from these two products so that a 1-degreeresolution was maintained and the base period was adjusted to the1950-79 period w

26、herever possible (approximately 40S and 60N). Comparedto the 2-degree climatology, the 1-degree climatology resolvesequatorial upwelling and fronts much better. This leads to a bettermatching of the scales of the new analysis and climatology. Inaddition, because the magnitudes of large-scale feature

27、s areconsistently maintained in both the older 2-degree and the new 1-degreeclimatologies, climate monitoring of large-scale anomalies will beminimally affected by the analysis change. The use of 12 years ofsatellite SST retrievals makes this new climatology useful for manyadditional purposes because its effective resolution actuallyapproaches 1-degree everywhere over the global ocean and because themean SST values are