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Located in PIK Members Gabriele Pilz
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New approach in El Niño forecasting potentially doubles the lead-time and helps forecasting its magnitude
06.01.2020 - El Niño, probably the most far-ranging climate phenomena on Earth, is likely to hit again in 2020, as groundbreaking research by PIK and others has shown. Now, PIK researchers also found a new way to improve forecasts regarding its magnitude using data from air and sea surface temperature series.
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Artificial Intelligence: applying ‚Deep Reinforcement Learning‘ for sustainable development
20/12/2019 - For the first time, a specific way of machine learning has been used to find novel pathways for sustainable development. So far, the so-called 'Deep Reinforcement Learning' has mostly been used to make computers excel in certain games, such as AlphaGo, or navigate robots through rough terrain. Now, scientists from the Potsdam Institute for Climate Impact Research developed a mathematical framework combining recently developed machine learning techniques with more classical analysis of trajectories in computer simulations of the global climate system and the global economy. The results, published in the interdisciplinary journal on nonlinear phenomena 'Chaos', are promising.
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