1 / 13

ENSO-monsoon relationships in the CCSM3 coupled runs

ENSO-monsoon relationships in the CCSM3 coupled runs. Edwin K. Schneider George Mason University/COLA. Contributors. Ben Kirtman (the ideas and direction) Dughong Min (the work) E. Schneider (the travel). Our Activities.

Download Presentation

ENSO-monsoon relationships in the CCSM3 coupled runs

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. ENSO-monsoon relationships in the CCSM3 coupled runs Edwin K. Schneider George Mason University/COLA

  2. Contributors • Ben Kirtman (the ideas and direction) • Dughong Min (the work) • E. Schneider (the travel)

  3. Our Activities • Investigate ENSO-Monsoon relationship in CCSM3 for NVWG collaborative paper • T85 and T42 coupled control runs • SST forced AGCM simulations

  4. Progress to Date • Preliminary look at T85 coupled control run CAM2_T85_B30_009 • Generate quick-look data set accessible by external users • Some analysis

  5. Quick-Look Dataset • GDS or GrADS-Data (DODS) server • DODS URL:http://dataportal.ucar.edu:9191/dods/CAM2_T85_B30_009/atmoscam • 3000 months (250 years) • Fields (from AGCM output) • Precipitation (deep and shallow convective, large scale) • Wind stress (zonal and meridional) • Surface temperature

  6. Using the GDS Dataset • In principle – use GrADS to do analysis on data at dataportal. This turns out to be too slow to be practical. • In practice – write GrADS script to read data from dataportal and write on local workstation. Then do analysis on data at local workstation (so it’s really the DODS capability, not the GrADS that is important).

  7. Sample UNIX Script # # creates binary direct access dataset for year 1 of surface temp. cat << EOR > tmp.gs 'sdfopen http://dataportal.ucar.edu:9191/dods/CAM2_T85_B30_009/atmoscam‘ ‘set gxout fwrite’ ‘set fwrite /data/tmp/schneide/ccsmts.data’ ‘set t 1 12’ ‘d ts’ ‘quit’ EOR gradsdods -lc "run tmp.gs" rm tmp.gs

  8. ENSO: DJF Correlation with DJF NINO4 Precipitation

  9. ENSO: DJF Correlation with DJF NINO4 Precipitation

  10. JJAS Correlation with JJAS Indian Monsoon Rainfall SST P

  11. JJAS Correlation with JJAS NINO4 Precipitation

  12. DJF (+1) Correlation with JJAS Indian Monsoon Rainfall

  13. Bottom Line • CCSM3 T85 captures a robust ENSO-Asian monsoon relationship that has many similarities to that observed. • Very good compared to other CGCMs • Similar to that seen in previous versions of CCSM • CCSM3 T42 undoubtedly also good • CCSM3 ENSO mechanism and structure have unrealistic features.

More Related