数据集描述信息

1、数据集描述信息数据集名称中文名称日本气象厅月台站报告资料及距平资料英文名称数据集代码T80173/DS0483主题自由关键词大气环流学科主题词主题词主题词表描述台站报告类型02数据量存储量2.2MB记录数数据来源日本气象厅气候系监测年报数据集提供者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8mm磁带关联数据集关联数据集名称关联类型关联URL地址观测时次约13001400个台站空间编排方式（包括：空间分辨率、空间编排方式、坐标系）垂直层统计特征台站报告统计资料要素参数表要素要素： 台站报告： STATION

2、NAME station name COUNTRY nation LAT. latitude? LON. longi T temperature DT temperature anomaly DT/SD normalized temperature anomaly R precipitation(mm) RP precipitation ratio(%) RQ quintile RD the number of days which precipitation was more than 1mm(day) EVAP evapolation(hPa) SH sunshine duration(h

3、our) SP sunshine duration ratio(%) OBP observed pressure(hPa) SLP sea level pressure(hPa) 文件名： CLIMAT*? *为年份 ?为月份 距平资料： 1. High-cloud amount index (File name : HCLD-*) File name Area Boundary HCLD-DL Around the date line 5N, 5S, 170E, 170W HCLD-MC Around the Maritime Continent 5N, 5S, 110E, 135E HCL

4、D-PH Around Philippines 20N,10N, 110E, 140E 2. Southern Oscillation Index (File name : SOI) 3. Sea Surface Temperature Anomaly ( File name : SSTA* ) File name Area Boundary SSTA1-2 NINO.1+2 EQ, 10S, 90W, 80W SSTA3 NINO.3 4N, 4S, 150W, 90W SSTA4 NINO.4 4N, 4S, 160E, 150W SSTAWEST NINO.WEST 14N, EQ, 1

5、30E, 150E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1946结束时间日期1998空间范围地理名称行政区域名称地理区域名称全球区域经纬度范围点范围经度纬度平面范围东部经度西部经度南部纬度北部纬度范围描述地理标识数据质量信息数据质量状况经过质量检验数据志数据集分发信息数据的传输格式技术要求调用方法： rdbfile japan clim FILENAME 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

6、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小时元数据标准名称元数据标准版本附录：=The directory CLIMAT/ contains the data for CLIMAT reports. The CLIMAT data are monthly CLIMAT reports received through

7、 GTS from 1300-1400 stations in the world. Climatological normals are calculated from statistics of 1961-90. Each file name consists of 8 characters, and each character obeys the following rules. 1st-6th character (element) CLIMAT 7th-8th characters (month number) month number(01-12) Each file conta

8、ins data for about 1300 stations. The data for one station is as follows. NO station number STATION NAME station name COUNTRY nation LAT. latitude? LON. longi T temperature DT temperature anomaly DT/SD normalized temperature anomaly R precipitation(mm) RP precipitation ratio(%) RQ quintile RD the nu

9、mber of days which precipitation was more than 1mm(day) EVAP evapolation(hPa) SH sunshine duration(hour) SP sunshine duration ratio(%) OBP observed pressure(hPa) SLP sea level pressure(hPa)The directory /DATA/GPV/INDEX/ contains the historical data of indices for monitoring convective activity and E

10、NSO. The source of data, the calculating method and the area of each index are described here.The data files in the directory /DATA/GPV/INDEX/ are the text files. The 1st line in each file show you an element name and the 2nd a name of the area and latitudes and longitudes of the boundary. The subse

11、quent lines indicate the data for each year, from January to December.1. High-cloud amount index (File name : HCLD-*)This index represents the strength of convective activity and becomes positive (negative) when the activity is above (below) normal.High-cloud amount is observed by GMS (HIMAWARI). In

12、dices of the high-cloud amount are the regional mean anomalies normalized by dividing by their standard deviations. The base period for normal is 1978-90. The area and its boundary are as follows.File nameAreaBoundaryHCLD-DLAround the date line5N, 5S, 170E, 170WHCLD-MCAround the Maritime Continent5N

13、, 5S, 110E, 135EHCLD-PHAround Philippines20N, 10N, 110E, 140E2. Southern Oscillation Index (File name : SOI)This index represents the strength of the trading wind over the equatorial Pacific. When the index is negative, trading wind is weaker than normal and the features together with the El Nino ev

14、ent are shown. The sources of data are the monthly mean sea level pressure reported by CLIMAT messages from Tahiti in the South Pacific and Darwin in Australia. The calculating method is as follows.The index is defined as the normalized sea level pressure anomaly difference between Tahiti and Darwin

15、, in which their anomalies are normalized by dividing their anomalies by their standard deviations. The base period for normal is 1961-90. The definite formula for SOI is SOI = ANM(Ps(T)/SD(Ps(T) - ANM(Ps(D)/SD(Ps(D) / SD(SOI), where Ps(A) is the sea level pressure for the point A, ANM(B) and SD(B)

16、are anomaly and standard deviation of the element B, and T and D represent Tahiti and Darwin, respectively.3. Sea Surface Temperature Anomaly ( File name : SSTA* ) JMA define 4 regions to monitor El Nino. Regional mean SST anomalies are derived from the operational global SST analysis at the Oceanographical Division, JMA. The base period for normal is 1961-90. We describe the normal va