Broken Hockey Sticks, 1500 Year Cycles, and Ocean Cooling - PowerPoint PPT Presentation

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Broken Hockey Sticks, 1500 Year Cycles, and Ocean Cooling

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Cause: solar or ocean oscillator (multi-state system) Did they continue? ... Ocean Heat Content (x 1022 J) Recent Temperature Downturn Evident in Hadley Data ... – PowerPoint PPT presentation

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Title: Broken Hockey Sticks, 1500 Year Cycles, and Ocean Cooling


1
Broken Hockey Sticks, 1500 Year Cycles, and Ocean
Cooling
  • Dr. Craig LoehleNCASI Principal Scientist552 S
    Washington St., Ste. 224Naperville, Illinois
    60540

2
The Broken Hockey Stick
  • Fundamental assumptions of tree ring
    reconstruction are untested
  • In fact, they are violated
  • Ms published online in Climatic Change,Sept. 08
  • A Mathematical Analysis of the Divergence
    Problem in Dendroclimatology

3
Climate Reconstruction(based largely on tree
ring data)
4
How is it Done?
  • Assume linear model ring vs. temperature
  • Fit to temperature histories, 20th Century
  • Inverse function for past temperature from ring
    width / density

5
Signs of Trouble
  • Widespread observations of divergence
  • good fit up to 1960
  • more warming than predicted by tree rings after
    1960
  • Explanations are speculative
  • Individual trees
  • may not respond to temperature
  • may grow worse when warmer
  • (PPT limits)

6
IF Linear Response, Perfect Fit
7
IF Nonlinear Response, Get Truncation (inversion)
Peaks become troughs!
8
IF Ramp Response (no PPT Limitation),Get
Truncation
Ramp results from species maximum growth rate
9
Conclusions
  • Linear growth response invalid
  • Nonlinear growth explains divergence
  • Consequence
  • cant guarantee detection of temperatures warmer
    than calibration period
  • Flattens out timeseries reduces mean, range, and
    maximum
  • Cant evaluate MWP or how unusual recent decades
    are from linear reconstructions
  • Cant use nonlinear model because gives nonunique
    inverse model

10
The 1500-Year Climate Cycle
  • Dansgaard-Oschger events in ice core data
  • About 1500 years apart
  • Cause solar or ocean oscillator (multi-state
    system)
  • Did they continue?

11
Greenland Data AnalysisUpdated GICC05 ice core
chronology
d18O
Years BP (Yr 0 2000 AD)
12
Greenland Data AnalysisBest-fit model for 30,000
to 37,000 BP(R2 0.36, period 1486 yrs)
d18O (values centered for better estimation of
cycles)
Years BP (Yr 0 2000 AD)
13
Greenland Data AnalysisBest-fit model for 40,000
to 46,000 BP(R2 0.30, period 1598 yrs)
d18O (values centered for better estimation of
cycles)
Years BP (Yr 0 2000 AD)
14
Greenland Data AnalysisBest-fit model for the
Holocene to 8000 BP(R2 0.45, period 1434 yrs)
d18O (values centered for better estimation of
cycles)
Years BP (Yr 0 2000 AD)
15
Best-fit Model 1681- and 1470-Year
CyclesCompared to Loehle Reconstruction (R2
0.68, 0.65 respectively)(confidence intervals
not shown)
1470-yr cycle
Anomaly (C)
1681-yr cycle
Years BP (Yr 0 2000 AD)
16
Best-fit Model to Moberg Low-Frequency Data
(1152-yr cycle, R2 0.69)and Fit to 1470-yr
cycle (R2 0.54)(confidence intervals not shown)
1152-yr cycle
1470-yr cycle
Anomaly (C)
Years BP (Yr 0 2000 AD)
17
Best-fit Model to North Iceland Sea Surface
Temperature(1552-yr cycle, R2 0.20)Data shown
after linear cooling trend removal
Anomaly (C)
Years BP (Yr 0 2000 AD)
18
Oxygen Isotope Data from Central Alps, past 9000
yrsBest-fit models for 2004 AD to 3500 BP and
6500 BP to 8996 BP (1479-yr cycle, R2 0.27,
peak-to-trough amplitude 0.33C)
-delta O-18 ()
Years BP (Yr 0 2000 AD)
19
Temperature inferred from Japanese
CedarBest-free-form-fit (1089-yr cycle, R2
0.28) Best-fit when forced with 1470-yr cycle
looks similar (R2 0.22)
1089-yr cycle
Anomaly (C)
1470-yr cycle
Years BP (Yr 0 2000 AD)
20
Conclusions
  • Mean period 1524 yr vs. 1470 yr hypothetical
    (3.7 off)
  • Models, data strongly agree on timing of MWP,
    LIA
  • Supports role for this cycle in recent warming

21
Ocean TemperaturesRecent Trends
  • ARGOS float data
  • To 700 m depth
  • 4.5 years data
  • Global coverage

22
Ocean heat content
Ocean Heat Content (x 1022 J)
Calendar Year
23
Ocean heat content smoothed with a 1-2-1
filterand overlaid with a best-fit linear plus
sinusoidal (seasonal) model (R2 0.85)
Ocean Heat Content (x 1022 J)
Calendar Year
24
Ocean heat content smoothed with a 1-2-1
filterand overlaid with linear trend portion of
best-fit model (slope -0.35 x 1022 J/yr)
Ocean Heat Content (x 1022 J)
Calendar Year
25
Recent Temperature Downturn Evident in Hadley Data
26
Conclusions
  • Cooling trend over past 4.5 years matches
    satellite, surface data
  • Rate of cooling similar to rate of warming before
    2003
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