Kaplunenko_etal_PicesXIII-2

Document Sample
Kaplunenko_etal_PicesXIII-2 Powered By Docstoc
					 Climate variations during 20th
century in the Northwest Pacific
             Region.
Dmitry D. Kaplunenko*,**, Vladimir I. Ponomarev *, Young J. Ro **,
          Olga O. Trusenkova* and Serge T. Trusenkov*
* – V.I. Il’ichev Pacific Oceanological Institute, Vladivostok, Russia;
 ** – Chungnam National University, Daejeon, Republic of Korea.
                    E-mail: dimkap@poi.dvo.ru
                Introduction
                  This work provides:
- Study of climate variability by the datasets based
   on different methods of data augmentation
   (instrumental and reanalysis based)
- Analysis on climate variability by the data on
   monthly air temperature for Northeast Asia and
   SST for North Pacific region for centennial
   (correlations, wavelets) and semicentennial
   period (correlations, wavelets, trends)
          Used data sources
                   • Instrumental:

Air Temperature: Global History Climatic Network:
http://lwf.ncdc.noaa.gov/oa/pub/data/ghcn/v2/ghcnftp.html
SST: GLBSST (Japan Meteorological Agency)
ftp://ddb.kishou.go.jp/pub/Climate/SeaSurfaceTemp

                 • Reanalysis based:

Air Temperature: NCEP/NCAR Reanalysis project data:
http://www.cdc.noaa.gov/cdc/data.ncep.reanalysis.html
SST: Hadley Centre for Climate Prediction and Research:
http://badc.nerc.ac.uk/data/hadisst/
            Data coverage (Tair)
                 Data coverage for meteorological data:
Contribution (GHCN stns.):
 Russia           60
                          60
 Korea            9
 Japan            46
                          40

 China            32
 Mongolia         8       20

 Total            155           80    100   120    140    160   180




NCEP: 2.5°x2.5°
             Data coverage (SST)
                           Sea surface temperature.
•   GLBSST (Japan Meteorological Agency)
    (North Pacific, period 1946-2002, 2°x2° )
•   Hadley Centre for Climate Prediction and Research
     (North Pacific,1946-2002,1870-2002,1°x1° )
                                Data coverage:
 Assessing of climate changes by prepared
  datasets using known statistical methods
                    Assessing methods:
• Principal Component Analysis (EOF,CEOF)
• Correlation and spectral analysis (wavelet)
• Linear trend estimation

                    Object of interest:
• Northeast Asia
• North Pacific
                  Data for assessing:
• Sea Surface Temperature, Air temperature mean values
  for 1946-2002 (GHCN, NCEP/NCAR, JMA GLBSST,
  Hedley SST) and 1870-2002 (Hedley SST)
    EOF-decomposition instrumental data
Air temperature             SST
CEOF-decomposition instrumental data
 Air temperature                SST
    EOF-decomposition reanalysis data
Air temperature           SST




              NCEP
CEOF-decomposition reanalysis data
 Air temperature        SST
Wavelet derived oscillations for instr. data (Tair)
       Amlitude                 Phase                  Scalar EOF




Scale-averaged wavelet power over the 3–7-yr, 8-20-yr and 21-50-yr
              band for the GHCN dataset for winter
 Wavelet derived oscillations for instr. data (SST)
   Amlitude                  Phase                  Scalar EOF




Scale-averaged wavelet power over the 3–7-yr, 8-20-yr and 21-50-yr
               band for the JMA dataset for winter
   Wavelet derived oscillations for reanal. Data (Tair)
      Amlitude                Phase                Scalar EOF




Scale-averaged wavelet power over the 3–7-yr, 8-20-yr and 21-50-yr
              band for the NCEP dataset for winter
  Wavelet derived oscillations for reanal. data (SST57)
       Amlitude               Phase                Scalar EOF




Scale-averaged wavelet power over the 3–7-yr, 8-20-yr and 21-50-yr
         band for the Hedley (56 years) dataset for winter
 Wavelet derived oscillations for reanal. Data (SST133)
      Amlitude                Phase                Scalar EOF




Scale-averaged wavelet power over the 3–7-yr, 8-20-yr and 21-50-yr
        band for the Hedley (132 years) dataset for winter
         PDO-correlations with instr. data
   Amplitude-winter    Phase-winter     Scalar EOF-winter




temporal modes and PDO for GHCN data on period 1946-2002.
   Amplitude-winter     Phase-winter     Scalar EOF-winter




modes and PDO for GLBSST (JMA) data on period 1946-2002
       PDO-correlations with reanal. data
     Amplitude-winter    Phase-winter     Scalar EOF-winter




temporal modes and PDO for NCEP data on period 1948-2002
      Amplitude-winter   Phase-winter    Scalar EOF-winter




temporal modes and PDO for HEDLEY data on period 1946-2002
PDO-correlations with reanal. Data (Hedley SST 1900-2002)
   Amplitude-winter     Phase-winter      Scalar EOF-winter




  Amplitude-summer     Phase-summer      Scalar EOF-summer




    Correlation analysis on temporal modes and PDO for
           Hedley SST data on period 1900-2002.
Linear trends estimation results
         Instrumental Data:




         Reanalysis Data
                    Conclusions
•  Both types of used dataset (instrumental and
  reanalysis) is could be used for study climatic
  variability at the decadal and multidecadal scales and
  shows its relations to the climatic processes at ocean-
  atmosphere system observed by the other data.
• Scale averaged oscillations show the similar
  tendencies for the spectral analysis for correspondent
  data sets (air temperature/SST).
• The correlation analysis on the propagating signals
  influence for these dataset is rather complicated, but
  SST is highly correlated with the PDO in all cases
• Long-term tendencies analysis shows better
  agreement for instrumental data observations (more
  real) than for reanalysis data
Thank you for
your attention!

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:6
posted:10/11/2011
language:English
pages:21