Notes
Outline
OUTLINE
Anthropogenic Transient
Historic
Future
Response to Perturbations
Southern Ocean
 Low latitudes
Mitigation
Fertilization
Deep injection
Biological Response to Warming
Other?
Slide 2
Slide 3
Predicting the Ocean Carbon Sink
Ocean models and observations agree on historical uptake, but differ on regional details.
Predictions diverge with time.
Impact of future biological and ocean circulation changes is speculative (we do not yet understand the ice age behavior)
Box vs. GCM
Slide 6
Slide 7
Slide 8
Slide 9
Slide 10
Slide 11
Slide 12
Slide 13
Iron Fertilization
Slide 15
Slide 16
Model Scenarios of Patch Fertilization
Assume: Iron addition results in stripping out of nutrients
Simulations:
Location of fertilization: Eastern Equatorial Pacific at 2.2°S, 110°W
Area of fertilization: One model grid cell (4°x4° = 200,000 km2)
Length of time: one month (September)
Cases considered:
CASE 1 - Iron added & lost (probably most realistic) with
(a) shallow regeneration of organic matter &
(b) bottom regeneration of organic matter.
CASE 2 - Iron & macronutrients added & retained (upper limit) with
(a) shallow regeneration of organic matter &
(b) bottom regeneration of organic matter.
Slide 18
Slide 19
Slide 20
Deep Injection
Slide 22
Slide 23
Global Warming Response
Slide 25
Slide 26
Global Mean Response of Model Physics to Global Warming (2040-2060)
Slide 28
Slide 29
Slide 30
Slide 31
Slide 32
CONCLUSIONS
Anthropogenic Transient
Historic - MAINLY PHYSICS
A better sense of range of model behavior
Data show many models are wrong
Model improvement is urgent
Future - PHYSICS & BIOLOGY
Wide range in physical response
Biological contribution highly speculative
CONCLUSIONS
Response to Perturbations
Two new ice age hypotheses
(THE ONGOING SAGA)
Southern Ocean
HYPOTHESIS: reduced AABW influence
Fertilization out/air-sea equilibration in
Real ocean more like box  models (high sensitivity) than GCMs (low sensitivity)
 Low latitudes
HYPOTHESIS: SAMW-SiO2/CaCO3 iron fertilization scenario
fertilization in
Real ocean more like GCMs (high sensitivity) than box models (low sensitivity)
CONCLUSIONS
Mitigation - Need for a “truth squad”
Fertilization
Deep injection
Biological Response to Warming - The big unknown
Other? - eddies, variability (seasonal & interannual), margins