Hazard Risk Resilience Magazine Volume 1 Issue1 | Page 15

15 As the sea ice melts in the Arctic, less incoming solar radiation is reflected and is absorbed by the dark ocean waters, causing more sea ice to melt (photo: NASA). It is the coupling of ocean and atmosphere models that serve as the basis of global climate models because interactions between both of these complex systems have one of the greatest influences on climate. For example, since the ocean covers more than 70 percent of the Earth’s surface it stores vast amounts of heat, most of which is located at the equator. As the heat rises, it warms the atmosphere and creates air temperature gradients (layers of hot and cold air) along with winds. These winds push against the sea surface, driving ocean currents that circulate warm and cold ocean waters to different parts of the planet. In a sense, the Earth’s ocean and atmosphere form one complex system that directly influences climate. When the ocean and atmosphere interact they create ‘positive feedbacks’ that influence one another in astonishing ways. Long says, “A positive feedback is something which reinforces the consequences of an initial change”. He gives the example of a climate process known as the ‘ice-albedo feedback’. Sea ice in the Arctic is highly reflective. Because it’s white it can reflect a lot of incoming solar radiation back out into space, maintaining or creating colder temperatures, which in turn can create more sea ice. On the other hand, if more sea ice is melting it exposes more of the dark, low albedo sea, which absorbs more solar radiation and heats up the atmosphere, melting more sea ice. These examples of positive feedbacks are common in high northern latitudes where changes in surface albedo of the land or the oceans can change quickly. “That’s why many scientists think that in the future or even today the Arctic is warming much more quickly than lower latitudes”, said Long. Positive feedbacks also play a role in what is known as ‘hysteresis’. In hysteresis, temporary changes in a system are not only long-term, but irreversible. If someone is to make sense of the headline splashed on the cover of the morning newspaper: ‘We have passed the climate tipping point’, this could be understood as an extreme example of hysteresis, where ultimate climate change disaster is irreversible, but it is also not that simple. The Greenland ice sheet keeps retreating further and further due to positive feedbacks that lead to more melting, however, it is still uncertain as to whether it is indeed irreversible. The Greenland Ice Sheet has been much smaller today than in the past – for example during the last interglacial, about 130,000 years ago, scientists now think the ice sheet reduced in size by as much as a third – but it didn’t melt entirely. In fact, it “re-grew to larger than its present size during the last ice age”, says Long. If small changes do make a big difference then much can be learnt from the past. As Long has noted, in the case of the mid-Holocene cooling event, there appear to be no obvious external factors that brought about this important cooling of the climate in the North Atlantic region. This means that there may be small internal changes in the climate system that haven’t been accounted for. But there is a bigger problem still – if the changes are internal, and are the result of positive feedbacks within the system, it may prove highly difficult for researchers to be able to detect them. Hysteresis also means that systems may have a kind of ‘memory’ or ‘lag in time’. So the changes impacting a system either internally or externally may not come into effect until much later. According to Long, in terms of understanding future changes in the Earth’s climate: “We can eyeball the data; we can look at patterns from here and patterns from there. But a more powerful way of doing this is to integrate your observations with climate modelling and that’s why we need our mathematicians and other colleagues helping us look at the data we’re developing”. Whether tipping point describes actual, sudden or transformative events in the world or is simply a useful metaphor, it has created an ongoing global discussion that seems to have its own positive feedbacks. The more tipping point is used in and outside of the social and physical sciences, the more it seems to affect how people identify spontaneous changes in the world that we are only beginning to understand. If we are to become more aware of these unique changes over time and how they affect the world we live in, the tipping point concept may serve as a way to illuminate pathways of knowledge never before taken. If it does, we could be at the brink of uniting the world we experience with the seemingly unknown, myriad of co