1 / 24

Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

Climate response associated with the Southern Annular Mode in the surroundings of Antarctic Peninsula. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra. Images are courtesy of the National Snow and Ice Data Center (NSIDIC), University of Colorado.

norman-kemp
Télécharger la présentation

Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

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. Climate response associated with the Southern Annular Mode in the surroundings of Antarctic Peninsula Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

  2. Images are courtesy of the National Snow and Ice Data Center (NSIDIC), University of Colorado Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

  3. Monthly Antarctic sea-ice drifts derived from the SMMR/SSMI over 1979-2000 (Lui et al. 2004) Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Spatial trends of the Antarctic Sea-Ice Concentration • Contours are trends [%] • Left: full trends • Right: trends after removing SAM and ENSO (contours give the trends due to SAM and ENSO)

  4. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Observed SAM-related variability in SIC Regression between seasonal SAM index and SIC (HadISST1), JAS, 1980-1999 (Lefebvre et al. 2004) • Shadows * 100 are [%]

  5. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Questions marks • Are the last generation CGCMs representing the SAM-related variability appropriately? • Are those models capturing the recent observed warming in the Antarctic Peninsula region? • Is it possible to extract an average picture of the SAM-related variability in a warmer climate? • Is the cryosphere sending signals about climate change?

  6. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra • Based on two IPCC experiments • 20C3M climate of the 20th century: Historical run • SRES A2 climate change experiment: initial conditions from end of 20C3M, to 2100 • Time slides • 1970-1999: actual climate • 2070-2099: future climate • Selected variables • ST, SLP, near surface wind and sea-ice • SAM index is the PC-1 geop(500 hPa)

  7. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

  8. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Models documentation is available at www-pcmdi.llnl.gov

  9. Multi-model ensemble mean, SLP filed 20C3M SRES A2 SRES A2 minus 20C3M - + + SAM Positive Phase Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

  10. Contours are the multi-model mean Shadows are the spread SLP ST SIC Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Multi-model Control Run

  11. Control run minus reference climatologies NCEP (SLP, ST, 1970-1999) and Hadley (SIC, 1982-1999) SLP ST SIC Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Multi-model Control Run

  12. Control run minus SRES A2 experiment Present climate is 1979-1999 while future climate is 2070-2099 SLP ST SIC Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Multi-model Annual Mean Climate Change Projections

  13. Image courtesy of Enrico Scoccimarro, INGV Ice Draft data U.S. Navy submarines Sea ice thickness Comparison with observations Ice Thickness SINTEXG spring - years 81-130 Ice Thickness SINTEXG spring - years 81-130 150 W

  14. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Multi-model SAM-Positive Phase-related variability • Climate change projects into the positive phase of the SAM in annual mean conditions • In present climate SAM is particularly strong during the austral spring • In future climate SAM is also strong during the austral spring (and summer) We are going to explore into the SAM-PP-related variability and its change in a warmer climate

  15. Present climate SAM-PP-related variability ST SIV Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra SLP SW

  16. Future climate SAM-PP-related variability Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra ST (future conditions) SIV ST (present conditions) SIV

  17. Future climate SAM-PP-related variability SLP (future conditions) SW SLP (present conditions) SW Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra

  18. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Conclusions • We extracted a picture of the response of the SAM to increasing GHG in a multi-model ensemble produced in the framework of the 4th IPCC project. • In mean average, SLP climate change projects into the positive phase (PP) of the SAM. • We centered the attention in the surface climate variability associated with the SAM PP and its change in a warmer climate. • Particular attention is on the surroundings of the Antarctic Peninsula

  19. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Conclusions (cont.) • Over the present climate slice, the multi-model ensemble mean reproduce the regional warming around the AP associated with the SAM. • When increasing GHG, warming in the neighborhoods of the AP (and decreasing of sea-ice volume in the sea-ice edge region) intensifies. • This result suggests that recent observed sea-ice trend around the AP could be associated to anthropogenic forcings. • Surface changes in T and SI are consistent with anomalous atmospheric heat transport associated with circulation anomalies.

  20. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Word of warning … • The confidence in sea-ice anomalies response is limited by the reduced number of models that provides the information and the large inter-model spread. • Even if the large scale response to the SAM variability is an important driver of the AP climate change, in CGCMs the local interactions between the atmosphere, sea and sea-ice are misrepresented. • If the stratospheric ozone recovers the SAM variability could also be affected (Shindell and Schmidt 2004).

  21. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra We emphasize that the results need to be view with caution, given the weaknesses in the models and the uncertainties related to the future evolution of the O3.

  22. Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra Following the IPCC schedule… • March 2005, preliminary results were presented at IPCC meeting, Hawaii • May 2005, a manuscript was submitted to GRL (in revision) • December 2005, dead-line to be in press, then to be included in the IPCC AR4

  23. Penguins of the Antarctic Peninsula do not believe on climate models !

  24. Regression maps of SIC (shaded) and T at 2m (contour) anomalies, 1979-2002 (Lui et al. 2004) Andrea F. Carril, Claudio G. Menéndez and Antonio Navarra SAM vs ENSO related variability • Left: SAM signal • Right: ENSO signal • Regression coefficients indicate changes in SIC [%] and T [°C] corresponding to 1standard deviation change in the indices

More Related