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1. Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference

   23 Jul 2024 | Contributor(s):: Sahara Ali, Omar Faruque, Yiyi Huang, Aneesh Subramanian, Nicole-Jienne Shchlegel, Md Osman Gani, Jianwu Wang, Josephine Namayanja (contributor)

   The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are still unknown. Inferring the causal effects of atmospheric processes on sea ice melt using fixed treatment effect...

2. Benchmarking probabilistic machine learning models for arctic sea ice forecasting

   23 Jul 2024 | Contributor(s):: Sahara Ali, Seraj Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, Vandana Janeja

   The Arctic is a region with unique climate features, motivating new AI methodologies to study it. Unfortunately, Arctic sea ice has seen a continuous decline since 1979. This not only poses a significant threat to Arctic wildlife and surrounding coastal communities but is also adversely affecting...

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   Iole Serena Diliberto

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