1 / 17

Remote Features Linked to the South Pacific Subtropical High

Remote Features Linked to the South Pacific Subtropical High. (hereafter called the “SP high”) Richard Grotjahn Atmospheric Science Program, Dept. of LAWR, Univ. of California Davis, CA 95616, USA. Working hypothesis that there are remote connections to the subtropical high

sharon-dennis
Download Presentation

Remote Features Linked to the South Pacific Subtropical High

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. Remote Features Linked to the South Pacific Subtropical High (hereafter called the “SP high”) Richard Grotjahn Atmospheric Science Program, Dept. of LAWR, Univ. of California Davis, CA 95616, USA

  2. Working hypothesis that there are remote connections to the subtropical high Some connections will be visible through the divergent circulation. 3 sources of remote forcing. (1) Hadley and Walker circulations, (2) Rossby wave forcing from East, (3) frontal cyclones Our Prior Work on the SP high

  3. Months of stronger highs minus months of weaker highs show: lower SLP to East (purple) More P (green) West or westward shift of SPCZ Dipole (P) & (OLR) S and SW of high: shift to S. More P North of ICZ East Pacific or Northward shift Enhanced P North of South America Green: significant above (1%) Purple: significant below (1%) Composites of DJF Monthly Anomaly Data:

  4. P shown, OLR similar. correlation points respond to events on the same side as the correlation point. NW side to ICZ SPCZ NE to ICZ & SA S & SW sides to midlatitudes Blue: significant above (1%) Orange: significant below (1%) 1-pt correlations of Monthly Anomaly Data:

  5. Data Source: NOAA/CDC (Boulder CO, USA) NCEP/NCAR reanalysis data SLP, U, V Ud, Vd, Velocity Potential (VP) from NCL commands. Data record: 90-day DJF periods shown (122 day NDJF similar) Drawn from 01/1990 through 08/2002 Goal: Prior work showed remote links now wish to establish cause and effect. Recent Work: daily mean data

  6. Cross-correlation points for SLP & VP

  7. SLP lagged autocorrelationslag (L) and lead (R) SLP @ pt-8 correlations (CW: 4, 2, 0, -2, -4d)

  8. Velocity Potential (“VP”)lag (L) and lead (R) SLP @ pt-8 correlations (CW: 8, 6, 4, 2, 0, -2, -4,-6 d)

  9. Vd - Meridional Divergent Windlag (L) and lead (R) SLP @ pt-11 correlations (CW: 4, 2, 0, -2, -4d)

  10. VP cross-correlations for SLP on NE side

  11. DWS cross-correlations for SLP max

  12. DWS cross-correlations for SLP South side

  13. TentativeConclusions • Equatorial and NE side of SP high highly correlated with pressure in equatorial & E Pacific. Stronger SLP on N side of SP high is followed by lower SLP over SE Asia. • Stronger SP highs are those SW of the mean position & reinforced by divergent winds from midlatitude cyclones. • Weaker E Indonesian convection is followed in a few days by expansion of Amazonian velocity potential (VP) min. and westward shift of the SE Pacific VP maximum. • This last item leads a westward migration of higher than normal SLP on equatorial side of SP high. • For many points cross spectrum has strong frequency ~40d. (Presumably MJO-like signal, not shown)

  14. Divergent Wind ComponentsVd Ud

  15. Velocity Potential (left) & Divergent Wind Speed (right)

  16. SLP lagged autocorrelationslag (L) and lead (R) SLP @ pt-11 correlations (CW: 4, 2, 0, -2, -4d)

  17. Vd - Meridional Divergent Windlag (L) and lead (R) SLP @ pt-8 correlations (CW: 4, 2, 0, -2, -4d)

More Related