Tags: ice sheet modelling

All Categories (1-3 of 3)

  1. Accelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning Models

    24 Oct 2024 | Contributor(s):: Mostafa Cham, Tartela Tabassum, Ehsan Shakeri, Jianwu Wang

    Accurate estimation of subglacial bed topography is crucial for understanding ice sheet dynamics and their responses to climate change. In this study, we employ machine learning models, enhanced with Spark parallelization, to predict subglacial bed elevation using surface attributes such as ice...

  2. Ralf Greve

    Ralf Greve is a professor for glacier and ice sheet research at Hokkaido University's Institute of Low Temperature Science in Sapporo, Japan. A physicist by training, he works mainly on the...

    https://theghub.org/members/12498

  3. Tijn Berends

    https://theghub.org/members/17503