1 / 46

New Horizons in Paleoclimatology Toby Ault 5.6.2008

New Horizons in Paleoclimatology Toby Ault 5.6.2008. Overview:  Proxy-model integration  Experiment design  Results  Future work. Overview:  Proxy-model integration  Experiment design  Results  Future work. Overview:  Proxy-model integration  Experiment design

lenore
Download Presentation

New Horizons in Paleoclimatology Toby Ault 5.6.2008

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. New Horizons in Paleoclimatology Toby Ault 5.6.2008

  2. Overview:  Proxy-model integration  Experiment design  Results  Future work

  3. Overview:  Proxy-model integration  Experiment design  Results  Future work

  4. Overview:  Proxy-model integration  Experiment design  Results  Future work

  5. Overview:  Proxy-model integration  Experiment design  Results  Future work

  6. Overview:  Proxy-model integration  Experiment design  Results  Future work

  7.  Proxy-Model Integration

  8. GCM Data: Proxy Data: 10’s of km 100’s of km Image from: http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Print_Ch11.pdf

  9. 1°x1° (~111 km)

  10. Case example: the Monsoon

  11. August, 2006 PRISM mean precip. (mm/day) http://www.prism.oregonstate.edu/products/viewer.phtml?file=/pub/prism/us/graphics/ppt/2000-2009/us_ppt_2006.08.png&year=2006&vartype=ppt&month=08&status=final&zoom=yes

  12. Observational Monsoon 0.5˚x 0.5˚ JJA mean precip. (mm/day) *Mitchell, T. D., and P. D. Jones (2005), An improved method of constructing a database of monthly climate observations and associated high-resolution grids, International Journal of Climatology, 25(6), 693-712.

  13. CCSM3’s Monsoon JAS mean precip. (mm/day)

  14. CCSM3’s Monsoon What about the future? JAS mean precip. (mm/day)

  15. CCSM - No change GFDL - Weaker UKMO - Stronger *Joellen Russell, Pers. comm.

  16. CCSM - No change No good consensus… Absent in other models… Turn to proxies! GFDL - Weaker UKMO - Stronger *Joellen Russell, Pers. comm.

  17. Mid-Holocene climate http://geochange.er.usgs.gov/sw/impacts/biology/pastclim/

  18. Proxies in N. America

  19. http://www.swaebr.org/images/Packrat.jpg

  20. Wetter summers… OR …drier winters!

  21. Playa Lakes: Occasionally filled during Mid-Holocene Likely monsoon related… http://en.wikipedia.org/wiki/Playa

  22. Speleothems: Stronger Monsoon Connection to North Atlantic ITCZ shifted northward?

  23. Modeling 6ka climates

  24. PMIP (Paleoclimate Model Intercomparison Project) Mean JJA precipitation for CCSM 6ka simulation http://www.ncdc.noaa.gov/paleo/modelvis.html

  25. Harrison et al., 2003 CCSM3-JJA: 6ka-0ka (mm/day)

  26. Harrison et al., 2003 No Change? CCSM3-JJA: 6ka-0ka (mm/day)

  27. GCM Data: Proxy Data: 10’s of km 100’s of km Image from: http://ipcc-wg1.ucar.edu/wg1/Report/AR4WG1_Print_Ch11.pdf

  28. GCM Data: Proxy Data: Can regional downscaling bridge this gap? 10’s of km 100’s of km

  29.  Experiment Design

  30. Model: WRF Nesting: None Physics: Defaults X-domain: 119˚W to 110˚W Y-domain: 20˚N to 34˚N Resolution: ~30km Time: Aug. 2-25, 2006 T: 3hrs

  31. Boundary Conditions: NCEP/NCAR Reanalysis 2.5˚x 2.5˚ resolution

  32.  Results

  33. Means NNRP WRF Precipitation (mm/day)

  34. Variance NNRP WRF Precipitation variance (mm/day)2

  35. August 2006 - NNRP Link to animation

  36. August 2006 - WRF Link to animation

  37. Smaller scale Better representationof mechanisms

  38.  Future Work

  39. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  40. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  41. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  42. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  43. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  44. 1. Comparison with observations 2. Better analysis of dynamics 3. Cumulus parameterization scheme 4. Downscaling modern CCSM3 runs 5. Paleoclimate downscaling

  45. Acknowledgements: Jason Criscio, Andy Penny, and CCIT - THANKS!

More Related