Loading...
Flash Player 9 (or above) is needed to view slideshows. We have detected that you do not have it on your computer.To install it, go here
 
Post to Twitter Post to Twitter
Myspace Hi5 Friendster Xanga LiveJournal Facebook Blogger Tagged Typepad Freewebs BlackPlanet gigya icons
SlideShare is now available on LinkedIn. Add it to your LinkedIn profile.

Decadal Signals In Precipitation

From scottstgeorge, 9 months ago Add as contact

Graphics supporting a February 20 lecture at the University of Arizona's Laboratory of Tree-Ring Research.

513 views | 0 comments | 0 favorites | 0 downloads | 1 embeds (Stats)

Categories

Education

Groups/Events

Embed in your blog options close
Embed (wordpress.com) Exclude related slideshows Embed in your blog

More Info

This slideshow is Public
Total Views: 513 on Slideshare: 499 from embeds: 14
Most viewed embeds (Top 5): More
Flagged as inappropriate Flag as inappropriate

Flag as inappropriate

Select your reason for flagging this slideshow as inappropriate.

If needed, use the feedback form to let us know more details.

Slideshow Transcript

  1. Slide 1: The prominence of decadal variability in North American precipitation S c ott St. G eorge Geological Survey of Canada Toby A ult University of Arizona
  2. Slide 3: Greg McCabe, Michael Palecki, and Julio Betancourt, 2004: Pacific and Atlantic Ocean influences on multidecadal drought frequency in the United States PNAS 12, 4136 - 4141
  3. Slide 4: Here be decadal variability Decadal variability in precipitation or drought as a signal detection problem Terrestrial climate records often processed to emphasize D2M timescales4
  4. Slide 5: Does it matter at the regional scale? 5
  5. Slide 6: 1920 1940 1960 1980 2000 Decadal variance 30% Decadal variance 5% 1920 1940 1960 1980 2000
  6. Slide 7: Where is decadal variability in precipitation strong?
  7. Slide 8: Dan Cayan, Michael Dettinger, Henry Diaz, and Nick Graham,1998: Decadal variability of precipitation over western North America. Journal of Climate 11, 3148-3166
  8. Slide 9: Methods Photo: Christos_m2001
  9. Slide 10: PDSI Temperature Precipitation Streamflow Storms Rain/snow
  10. Slide 11: Gridded (0.5 deg) monthly precipitation, Climate Research Unit, University of East Anglia Period of record: 1901 - 2002
  11. Slide 12: Decadal variability Decadal variabil Decadal varia Decadal v
  12. Slide 15: Noise Interannual Trend Multidecadal Decadal
  13. Slide 17: What did we find? Photo: futureshape
  14. Slide 18: Slides missing* * Thank goodness
  15. Slide 19: Winter decadal 0% 10% 20% 30% variance
  16. Slide 20: Autumn decadal 0% 10% 20% 30% variance
  17. Slide 21: Annual multidecadal 0% 10% 20% 30% variance
  18. Slide 22: Northern California precipitation
  19. Slide 23: Northern California precipitation Decadal variance = ~30 percent
  20. Slide 24: D2M ‘hotspots’
  21. Slide 25: “Decadal-scale fluctuations are crucial because they control water supplies, affect biota, and may modulate higher-frequency events such as floods and drought.” Dan Cayan and colleagues [1998]
  22. Slide 26: Decadal hotspot - Oregon/California
  23. Slide 27: Northern California
  24. Slide 28: Sacramento River Photo: Patty Colmer
  25. Slide 29: Northern California
  26. Slide 30: Northern California
  27. Slide 31: Photo: California Department of Water Resources Levee break, Sacramento basin
  28. Slide 32: 1915 levee break Photo: California Department of Public Works Courtesy Joan Florsheim
  29. Slide 33: Northern California
  30. Slide 34: Northern California
  31. Slide 35: Decadal hotspot - Minnesota
  32. Slide 36: Minnesota
  33. Slide 37: Mississippi River at Minneapolis Photo: Mulad
  34. Slide 38: Minnesota
  35. Slide 39: Minnesota
  36. Slide 40: Minnesota
  37. Slide 41: Mech et al. (1987): Does high snow over consecutive winters have a cumulative, negative, effect on the viability of moose offspring?
  38. Slide 42: Minnesota
  39. Slide 43: Minnesota
  40. Slide 44: Minnesota
  41. Slide 45: Associations with major climate modes
  42. Slide 46: It’s complicated. 46
  43. Slide 47: Winter precipitation and the PDO
  44. Slide 48: Winter precipitation and the PDO
  45. Slide 49: Three main points 49
  46. Slide 50: location and seasonality make a big difference 50
  47. Slide 51: D2M propagates into hydrology* and ecology** * clearly ** maybe 51
  48. Slide 52: Is it a coincidence that D2M variability is strongest in the ENSO-PDO null? 52
  49. Slide 53: Thank you Julio Betancourt Dave Meko Julia Cole Joellen Russell Susan Pullan Mike Wallace Mike Mann Connie Woodhouse Support Manitoba Hydro Natural Resources Canada National Science Foundation
  50. Slide 54: S co t t St. G e o r g e Toby Au lt Geological Survey of Canada University of Arizona sstgeorg@nrcan.gc.ca tault@email.arizona.edu