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Cool tropics paradox

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Through Tropics, Temperature and Polar regions

Origin of the paradox

Proxy-based reconstructions of paleotemperature appeared to predict a low temperature gradient between the tropics and poles. Data from surface-dwelling foraminifera suggested that during the late Cretaceous, an unusually warm period, sea surface temperatures were cooler than today's. The term was later applied to similar situations, for example during the Eocene.

Climate models which worked during the Tertiary failed to produce this low temperature gradient; in order to match the observed data, they predicted that the tropics should be 40 °C or more - much hotter than the proxies said they were, and much hotter than the tropical surface temperatures observed today, which average around 25 °C (77 °F). To attempt to match the data, bizarre models involving unreasonable eddies were required.

Models

Models were developed to predict and explain the lack of ice during the warm periods of the Cretaceous and Eocene. Models are developed according to the fundamental principle that they should be kept as simple as possible. Consequently, the first models attempted to explain the lack of ice using solely the different continental configuration. These could not produce an ice-free state without using an increased atmospheric concentration of CO2; this assumption was checked against the evidence and found to be valid. This introduced a new difficulty: more CO2 would produce warmer tropical sea temperatures, and the evidence suggested they were the same or even colder than today's.

Data supporting cool tropical oceans

Foraminiferal data, suggesting tropical temperatures cooler than today's, disagreed with terrestrial proxies, which spoke of warmer temperatures - although most of the terrestrial figures are based on extrapolation of data from outside the tropics.

Sources of error

Analytical error is around 2−3 °C for individual specimens, but this drops to 0.5−1.0 °C when a sample is analysed - not enough to explain the discrepancy. Other factors mean that any pristine sample can be considered to have an associated error of up to 3 °C. Changes in salinity, kinetic and diagenesis, can also confound analysis: the latter two are each estimated to reduce estimated temperatures by 1−2 °C, and are difficult to quantify.

Reconciling the data with the model

The only way the model could be "tweaked" was by changing the parameterisation of clouds, one of the most unpredictable aspects of any model. The model was adjusted to assume that the higher CO2 levels produced more tropical cloud-cover, shielding these regions from the sun's heat. However, there was no evidence for this behaviour, and still left problems. The poles were still warmer than the models predicted. Other feedbacks, including increased poleward heat transport by the oceans, and vegetational responses at high latitudes, were proposed, but these did not fully explain behaviour in the southern hemisphere, and winter, respectively.

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