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Preliminary Results from CaRD10 ( California Reanalysis Downscaling at 10km )

Preliminary Results from CaRD10 ( California Reanalysis Downscaling at 10km )

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Preliminary Results from CaRD10 ( California Reanalysis Downscaling at 10km )

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  1. Preliminary Results from CaRD10(California Reanalysis Downscaling at 10km) Masao Kanamitsu and Hideki Kanamaru (Scripps Institution of Oceanography) This work is funded jointly by PIER/NOAA/NSF/ESC

  2. Objective • Reconstruction of the high-spatial resolution /high-temporal scaleanalysisofatmosphere and land covering the state of California, neighboring states and ocean for global change study. • Longest possible analysis • Highest possible resolution

  3. Methodology • Dynamical downscaling • Using a complex atmospheric model to interpolate large scale analysis to regional space and time scale. • Advantage • The fields obtained are dynamically, thermodynamically and hydrologically consistent (difficult for statistical technique). • Can be used to “understand” the dynamics and physics. • Disadvantage • Model dependent. Accuracy uncertain. Importance of validation.

  4. Model and Data • Scripps Experimental Climate Prediction Center Hydrostatic Global to Regional Spectral Model (G-RSM).  Highest possible spatial resolution of ~10km. • NCEP/NCAR Global Reanalysis as a large-scale forcing.  Only analysis that goes back to 1948. • Apply Scale Selective Bias Correction technique to preserve the large-scale forcing field within the domain. • No other observations, except SST, are used. • Does not incorporate change in land use. • Responses due to changes in large scale atmospheric circulation and SST. • Hourly output.

  5. 1. CaRD10 Jan. 1948-Aug. 2005 Completed! Ran on NCAR and multiple national super computing center machines. 2. Extended North American region. In progress Running on Earth Simulator machine in Yokohama, Japan. To be completed by 2006. Two Experimental Phases

  6. Challenges • Computations – solved • Validations and Diagnostics – this presentation • Sensitivity tests – in progress • Improvements – future work

  7. Validation Examples - Coastal Areas

  8. Hourly Buoy Wind Speed Red: CaRD10 Black: Buoy Buoy #2-b42

  9. Daily Mean Buoy Wind Speed Red: CaRD10 Black: Buoy Buoy #2-b42

  10. 12Z Jul 21, 1992 00Z Jul 22, 1992 00Z Jul 21, 1992 Catalina Eddy 36.0N CaRD10 31.5N 121W 116.5W Mesoscale data assimilation Thompson et al, 1997

  11. Comparisons with NARR

  12. July 10m Wind Diurnal Variation NARR CaRD10

  13. July 2m Temp Diurnal Variation NARR CaRD10

  14. Comparisons with Monthly Mean Station Observations

  15. Correlation of January Monthly Mean 2m T

  16. Coast stations Valley stations Mountain stations Selected Stations

  17. Coast Coast Coast Valley Valley Valley Valley Valley Valley Mountain Mountain Seasonal change of correlation of monthly mean 2m T

  18. Correlation of January Monthly Mean Precip

  19. Coast Coast CoastValley Valley Valley Valley Valley ValleyMountain Mountain Seasonal Change of Correlation of Monthly Mean Precipitation

  20. Validation of Long Term Trend

  21. ObsCaRD10 Decadal Variationin Seasonal Change of Precipitation Coast Red: 1975-99 Black: 1950-74 Valley Mountain

  22. January 2mT trend comparison (°K/Year)(Obs. 1950-1996, CaRD10 1950-1999)

  23. January T2m (1975-99)-(1950-74)

  24. Diurnal Cycle of January T2m Green: 1975-99 Black: 1950-74

  25. Inter-annual Variability of January Monthly Mean Wind

  26. Conclusions • California region downscaling is complete for 1948-present (Aug. 2005). • The quality of the downscaled analysis is very promising. • Excellent in winter • Reasonable in summer but not quite good for some variables over some regions. • The downscaled analysis is useful for global change research and applications. • Further validation of analysis is necessary.