Broadly, my research concerns the ocean’s role in the global carbon cycle, and in particular the complex interplay between climate, ocean circulation, and ocean biogeochemistry. Understanding and modeling these interactions is one of the fundamental challenges in science, and the key to unraveling the human impact on Earth’s climate.
Climate models are some of the most complex pieces of software ever written, able to simulate a vast number of different parts of the overall system, such as the atmosphere or ocean. Many have been developed by hundreds of scientists over decades and are constantly being added to and refined. They can run to over a million lines of computer code — tens of thousands of printed pages.
To produce such a stable equilibrium, scientists"spin-up" their model by essentially letting it run until it stops changing . By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.One of the machines I use has over 300,000 cores and can perform almost 20 quadrillion arithmetic operations per second.
This is where the new computer algorithm that I've developed and published in Science Advances comes in. It promises to dramatically reduce the spin-up time of the ocean and other components of earth system models. In tests on typical climate models, the algorithm was on average about ten times faster than current approaches, decreasing the time from many months to a week.
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