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@INPROCEEDINGS{Melidonis:1049641,
      author       = {Melidonis, Savvas and Patnala, Ankit and Semcheddine, Asma
                      and Schultz, Martin and Polz, Julius and Nowak, Kacper},
      title        = {{HC}lim{R}ep: {AI} {C}limate {M}odel for {C}apturing the
                      {A}tmosphere, {O}cean, and {S}ea {I}ce {I}nteractions},
      reportid     = {FZJ-2025-05426},
      year         = {2025},
      abstract     = {Climate change poses a significant threat to ecosystems and
                      human society. Accurate climate projections are crucial for
                      developing effective policies for mitigating extreme weather
                      events that are expected to increase due to global warming.
                      However, traditional climate models have limitations,
                      including biases and high computational costs. Under the
                      Helmholtz Foundation Model Initiative (HFMI), we propose a
                      new data-driven climate model, namely HClimRep, which uses
                      foundation model principles and machine learning to analyze
                      diverse climate datasets. This approach enables flexible and
                      customizable outputs, providing a versatile tool for climate
                      applications. Keywords: Foundation Model, AI Model, Deep
                      Learning, Climate Modelling, Climate Simulations},
      month         = {Nov},
      date          = {2025-11-03},
      organization  = {AI in Science Summit, Copenhagen
                       (Denmark), 3 Nov 2025 - 4 Nov 2025},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / Earth System Data
                      Exploration (ESDE) / HClimRep2024050120270431 - Helmholtz
                      Representation Model for Climate Science (HClimRep)
                      (HClimRep2024050120270431)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-Juel-1)ESDE /
                      G:(DE-HGF)HClimRep2024050120270431},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1049641},
}