Group: Data analysis.

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Presentation transcript:

Group: Data analysis

Data share Station data KOREA: http://www.kma.go.kr/ http://kma.go.kr/gw.jsp?to=/weather_main.jsp 5 stations 1908~now 60 stations 1973~now

http://www.kma.go.kr

Data share Station data Taiwan: 2 stations 1897~now 5 stations 100 years http://www.cwb.gov.tw/V5e/eservice/services_application.htm http://dbar.as.ntu.edu.tw

http://www.cwb.gov.tw/V5e/eservice/services_application.htm

http://dbar.as.ntu.edu.tw

Data share Station data China 160 stations 1951-now http://cdc.cma.gov.cn

http://cdc.cma.gov.cn

Data share Station data Japan Reanalysis data JRA-25 for 25 years From 1979-2004 http://www.jma.go.jp/jma/indexe.htm l http://www.jreap.org/indexe.html http://www.jmbsc.or.jp/english/index-e.html

http://www.jma.go.jp/jma/indexe.html

http://www.jmbsc.or.jp/english/index-e.html

http://www.jreap.org/indexe.html

Understand the limited and problem of data (data correction) Obs: Understand the limited and problem of data (data correction) Find right data to reanalysis for your study 1.Reanalysis data: data Problem Future ERA40 NCEPR2 assimilation technique, obs data change (satellites) improve assimilation technique GPCP not long enough, satellites change combine Station data SODA Ocean obs data is too poor more Station data 2.Station data: data Problem Future Temperature Rainfall station move auto-observations machine, added satellites data Hydrography space resolution not enough more satellites Satellites no long enough more satellite

Thanks for your attention!

Data share NCEP :U and V and SST Period: 1949~now ERA40:

Data seat effect the data’s QC Compare the data with other country for QC??? (hard)

method EOF We can use the digital filter to decompose different time scale from datasets. SVD reconstruction Compare the time serious to separate the different period. Model simulation can help us to analysis

Composite’s problem Case by case Composite Composite will get error message by some of strong case

Decadal and global warming It is hard to separate the decadal and global warming effect by analysis the OBS. Data.