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Total Ozone Data Base for COST-726 WG1 & WG2 Core Group Meeting , Brussels, January 29-30, 2007

Total Ozone Data Base for COST-726 WG1 & WG2 Core Group Meeting , Brussels, January 29-30, 2007. Janusz Krzyścin. Institute of Geophysics Polish Academy of Sciences Warsaw, Poland. Model for reconstruction of daily total O 3 Examples of the reconstructed time series

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Total Ozone Data Base for COST-726 WG1 & WG2 Core Group Meeting , Brussels, January 29-30, 2007

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  1. Total Ozone Data Base forCOST-726WG1 & WG2 Core Group Meeting, Brussels, January 29-30, 2007 Janusz Krzyścin Institute of Geophysics Polish Academy of Sciences Warsaw,Poland

  2. Model for reconstruction of daily total O3 • Examples of the reconstructed time series • Structure of the COST-726 Data Base

  3. COST-726 Total Ozone Data Base AREA 25.625°W-35.625°E 80.5°N-30.5°N GRID SIZE 1.25°(lon.)x1.0°(lat.)

  4. Input to Regression Model National Institute of Water and Atmosphere Research (NIWA), Lauder, New Zealand, Assimilated Total Ozone Data Base 1979-2004 (Bodeker et al., 2005) Version 8 Nimbus 7 and Earth Probe TOMS GOME version 3.1 KNMI TOGOMI Version 8 SBUV from NIMBUS 7, NOAA9, NOAA 11, and NOAA 16 satellite Dobson Stations (30°-60°N) Bias < 1% ± 2-3%

  5. Total Ozone Reconstruction Two Steps Regression Model 1- Ozone(month)= Regression_A(Indices of Global Atm. Circulation, Monthly Mean Meteo. Variables) 2. Ozone (day) - Ozone(month) = Regresion_B( Daily Meteo Variables– Monthly Mean Meteo Variables) Training period 1979-2004: Ozone(month), Ozone(day) from NIWA Data Base Model Ozone = Regression_A + Regression_B Model Total Ozone since beginning of proxy data -1950 !

  6. Comparison for AROSA May-September October - April

  7. Comparison for AROSA May-September October - April

  8. General Comments Performance of the COST model (warm period) for t <1979 long-term bias ± 2%, standard dev. 3%-7% (larger standard errors probably due to uncertainties of the Dobson measurements in cloudy conditions, see Lerwick) COST reconstructed ozone almost equivalent ERA-40 Ozone usually bias smaller for COST but smaller standard dev for ERA-40 COST and ERA-40 model better than simplified model using constant daily ozone values derived from NIWA data

  9. Available Total Ozone Data Bases

  10. DATA FORMAT Rows in ascii (.txt) format N-th row year month day φ ozone(-25.625°) ........Ozone(35.625°) ------------------------------------------------- 50 integer values with longitudinal step 1.25°along latitudeφ N+1- th row year month day φ -1° ozone(-25.625°) ........Ozone(35.625°) .................... ...... .......... ...... .......... .............................................................. .................... ...... .......... ...... .......... .............................................................. .................... ...... .......... ...... .......... .............................................................. N+k- th row year month day 30.5° ozone(-25.625°)........Ozone(35.625°) N+k+1- th row year month day+1 80.5° ozone(-25.625°)........Ozone(35.625°) .................... ...... .......... ...... .......... .............................................................. .................... ...... .......... ...... .......... .............................................................. .................... ...... .......... ...... .......... .............................................................. ~ 500 MB NEEDED FOR COST O3 DATA BASE

  11. FINAL DVD .txt files containing data bases COST_726, ERA-40, NIWA, NIWA+Era-40 readme.doc document my .pdf presentations (MCM7, WG1&WG2 Core Group Meeting) zipped file containing all files

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