Simulation of 20
This presentation is the property of its rightful owner.
Sponsored Links
1 / 6

Alfredo Ruiz-Barradas Sumant Nigam PowerPoint PPT Presentation

  • Uploaded on
  • Presentation posted in: General

Simulation of 20 th Century North American Hydroclimate Variability by the Drought Working Group Models: A Quick First Look. Alfredo Ruiz-Barradas Sumant Nigam. University of Maryland. March 8, 2008. Objective.

Download Presentation

Alfredo Ruiz-Barradas Sumant Nigam

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

Alfredo ruiz barradas sumant nigam

Simulation of 20th Century North American Hydroclimate Variability by the Drought Working Group Models:A Quick First Look

Alfredo Ruiz-Barradas

Sumant Nigam

University of Maryland

March 8, 2008



Assess capabilities of the DWG atmospheric models in simulating seasonal and low-frequency summer hydroclimate variability over North America

Models examined:

  • NSIPP (NASA/GSFC; 2.5lon x 2.0lat, 5th AMIP ens mem, 1930-2004)

  • CCM3 (LDEO; T-42 goga_new runs atm, 1st ens mem, 1856-2007)

  • CAM3.5 (NCAR; T-85, one run completed recently, 1871-2006)

  • GFS (NOAA/NCEP; T62L64 version of current CFS, 1950-2001)

  • AM2.1 (NOAA/GFDL; AMIP run data requested/awaited xxxx-yyyy)

Summer precipitation 1950 2000 ci 1 0 mm day clim 2 0 shaded ci 0 3 mm day std 1 5 shaded


Monthly STD

Summer Precipitation(1950-2000)CI: 1.0 mm/day (CLIM); >2.0 shadedCI: 0.3 mm/day (STD); >1.5 shaded



  • Climatology

  • GFS has a dry bias while CCM3 is too wet over central United States

  • CAM3.5 is fairly realistic except for large values on the eastern seaboard

  • All models are dry over the Gulf Coast states, particularly, eastern TX & Louisiana

  • GFS, CCM3, and NSIPP have a wet bias over the Northern Great Plains (western & central Canadian provinces)

  • Standard Deviation

  • CAM3.5, NSIPP, and CCM3 have something resembling the observed STD maximum over central US




Alfredo ruiz barradas sumant nigam

Great Plains Precipitation AnomalySeasonal precipitation anomalies smoothed by 12 applications of 1-2-1 averagingThe smoothed PRECIP index mimics PDSI (correlation of detrended series ~0.85)

Full Century (1901-2002)

Half Century (1950-2000)

Full Century (1901-2002) Correlations

[CRU_P, CCM3_P] =0.36 (0.37 detrend)

[CRU_P, CAM3.5_P]=0.32 (0.33 detrend)

[CRU_P, PDSI] =0.82 (0.84 detrend)

Half Century (1950-2000) Correlations

[CRU_P, CCM3_P] =0.58 (0.50 detrend)

[CRU_P, CAM3.5_P]=0.38 (0.19 detrend)

[CRU_P, GFS_P] =0.28 (0.19 detrend)

[CRU_P, NSIPP_P] =0.27 (0.04 detrend)

Alfredo ruiz barradas sumant nigam

SST Correlations of the Great Plains SummerPRECIP Indices (1950-2000)All-season precipitation indices are first detrended and then smoothed(as before) to generate PDSI proxies. The summertime proxy indices are then correlated with detrended SSTs.



  • GFS has fairly realistic correlations over the Pacific but not the Atlantic

  • CCM3’s Pacific correlations are too strong, NSIPP’s too weak, and CAM3.5’s somewhere in between

  • Atlantic links are comparable to the Pacific ones in observations but weaker in model simulations (with less accord among them as well)

  • CCM3 and CAM3.5 exhibit Indian Ocean connectivity, with little support from observations




Concluding remarks

Concluding Remarks

This first look, based on evaluation of a SINGLE ensemble member from each center’s AMIP simulations, indicates

  • Significant differences in the summer precipitation climatology and monthly SD distribution

  • Modest skill in simulating low-frequency variability of precipitation (or proxy PDSI): Correlations for the Great Plains region are in the 0.0-0.5 range in the 1950-2000 record

  • SST links of the Great Plains proxy drought index are more focused in the Pacific in model simulations, but not in 1950-2000 observations which show significant connectivity to the Atlantic basin as well

  • The spread in models’ performance makes the CLIVAR Drought Modeling exercise worthwhile

  • Login