數(shù)據(jù)集描述信息

1、數(shù)據(jù)集描述信息數(shù)據(jù)集名稱中文名稱日本氣象廳月臺站報告資料及距平資料英文名稱數(shù)據(jù)集代碼T80173/DS0483主題自由關鍵詞大氣環(huán)流學科主題詞主題詞主題詞表描述臺站報告類型02數(shù)據(jù)量存儲量2.2MB記錄數(shù)數(shù)據(jù)來源日本氣象廳氣候系監(jiān)測年報數(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8mm磁帶關聯(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地址觀測時次約13001400個臺站空間編排方式（包括：空間分辨率、空間編排方式、坐標系）垂直層統(tǒng)計特征臺站報告統(tǒng)計資料要素參數(shù)表要素要素： 臺站報告： 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*? *為年份 ?為月份 距平資料： 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1946結束時間日期1998空間范圍地理名稱行政區(qū)域名稱地理區(qū)域名稱全球區(qū)域經緯度范圍點范圍經度緯度平面范圍東部經度西部經度南部緯度北部緯度范圍描述地理標識數(shù)據(jù)質量信息數(shù)據(jù)質量狀況經過質量檢驗數(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用方法： rdbfile japan clim FILENAME 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

6、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小時元數(shù)據(jù)標準名稱元數(shù)據(jù)標準版本附錄：=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