數(shù)據(jù)集描述信息

1、數(shù)據(jù)集描述信息數(shù)據(jù)集名稱中文名稱全球11度區(qū)域海溫30年氣候月平均英文名稱數(shù)據(jù)集代碼T8004-2/ DS010-6主題自由關鍵詞海溫學科主題詞主題詞主題詞表描述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. 類型02數(shù)據(jù)量存儲量

7、19.9MB記錄數(shù)數(shù)據(jù)來源NCAR DS277.0數(shù)據(jù)集提供者134111更新頻率01數(shù)據(jù)集時間創(chuàng)建時間1995-01-01最近修改時間2002-12-31發(fā)布時間語種ZH字符集URL離線媒體關聯(lián)數(shù)據(jù)集關聯(lián)數(shù)據(jù)集名稱關聯(lián)類型關聯(lián)URL地址觀測時次空間編排方式（包括：空間分辨率、空間編排方式、坐標系）經(jīng)緯度網(wǎng)格分辨率：11經(jīng)向：從179.5W向東排到179.5E共360點緯向：從89.5S向北排到89.5N共180個點。網(wǎng)格點數(shù)：36018064800注意：海表溫度為11，經(jīng)緯度網(wǎng)格內(nèi)的區(qū)域平均值，上面給出的起始經(jīng)緯度值是 11經(jīng)緯度網(wǎng)格區(qū)域中心點的經(jīng)緯度值垂直層統(tǒng)計特征氣候月平均要素參數(shù)表要素

8、要素名稱海溫名稱縮寫度要素編碼計量單位層次類型層次值網(wǎng)格類型經(jīng)緯度樣本類型統(tǒng)計特征氣候月平均數(shù)據(jù)集范圍信息學科范圍一級分類170二級分類170.15時間范圍時間點日期時間段開始時間日期1981.11結(jié)束時間日期1997.12空間范圍地理名稱行政區(qū)域名稱地理區(qū)域名稱經(jīng)緯度范圍點范圍經(jīng)度緯度平面范圍東部經(jīng)度-179.5西部經(jīng)度179.5南部緯度-89.5北部緯度89.5范圍描述地理標識數(shù)據(jù)質(zhì)量信息數(shù)據(jù)質(zhì)量狀況數(shù)據(jù)志數(shù)據(jù)集分發(fā)信息數(shù)據(jù)的傳輸格式技術要求調(diào)用程序：CALL SSTCLIM（AA，IM，*）參數(shù)意義：AA 實型數(shù)組 360180，程序返回時為所調(diào)資料 IM 整型量，月 * 整型量，所調(diào)資

9、料沒找到時，按此標號返回 如月為 13 則為陸海標志編譯時需連接 -ldatabank 庫數(shù)據(jù)提供方式訪問限制使用約束收費策略權限管理訪問時間聯(lián)系信息聯(lián)系人名稱個人名稱組織名稱中國科學院大氣物理研究所職稱名稱聯(lián)系地址通訊地址北京市9804信箱郵政編碼100029其他聯(lián)系方式傳真電子郵件URL聯(lián)系時間24小時元數(shù)據(jù)參考信息元數(shù)據(jù)時間元數(shù)據(jù)創(chuàng)建時間2003-8最近修改時間2003-8聯(lián)系信息聯(lián)系人名稱個人名稱組織名稱中國科學院大氣物理研究所職稱名稱聯(lián)系地址通訊地址北京市9804信箱100029郵政編碼其他聯(lián)系方式傳真電子郵件URL聯(lián)系時間24

10、小時元數(shù)據(jù)標準名稱元數(shù)據(jù)標準版本 附 錄: 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