% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Melidonis:1049704,
      author       = {Melidonis, Savvas and Patnala, Ankit and Semcheddine, Asma
                      and Grasse, Simon and Schultz, Martin},
      title        = {{HC}lim{R}ep: {A} {F}oundation {M}odel for {C}apturing the
                      {A}tmosphere, {O}cean, and {S}ea {I}ce {I}nteractions},
      reportid     = {FZJ-2025-05488},
      year         = {2025},
      abstract     = {Climate change presents critical challenges to ecosystems
                      and human society. Accurate projections of climate change
                      and its consequences are essential for assessing climate
                      policies and developing proactive strategies to mitigate
                      extreme weather events. While traditional climate models
                      based on fluid dynamics and radiative transfer have provided
                      valuable information, they face limitations such as inherent
                      biases, coarse resolution, and structural errors. Moreover,
                      these models are computationally intensive, dependentof
                      physical constraints or governing equations, and it is
                      therefore impossible to explore a wide range of policy
                      scenarios and generate actionable climate information at the
                      desired high resolutions. Building on the success of
                      AtmoRep, a foundation model for atmospheric dynamics, we
                      propose HClimRep, a novel fully data-driven global climate
                      model that seeks to capture complex interactions of the
                      atmosphere, ocean, and sea ice to create a realistic climate
                      simulation, including the stratospheric ozone. Upon
                      completion of phase 1 of the model development, we have
                      successfully built a first HClimRep prototype that
                      integrates unstructured ocean gridded data and includes
                      stratospheric dynamics. The phase 2 of the model development
                      leverages insights gained from phase 1, combined with the
                      advancements of the newly launched ECMWF WeatherGenerator
                      (WGen) prototype, to drive further progress. In particular,
                      we use the WGen prototype to significantly facilitate the
                      incorporation of new climate data modalities and achieve
                      long iterative forecasts (rollouts). Further key challenges
                      of our initiative include the establishment of stable
                      seasonal-to-decadal climate forecasts, the accurate
                      simulation of future climates by learning CO2 forcing as
                      well as the employment of petabyte-scale data on multiple
                      resolutions and grids. Our main project objective is the
                      creation of a generalizable large-scale foundation model,
                      which will serve as a basis for various downstream
                      climate-related applications and products from stratospheric
                      warmings forecasts.to tropical cyclone climatology and
                      hydrological downscaling.},
      month         = {Jun},
      date          = {2025-06-03},
      organization  = {Helmholtz AI Conference, Karlsruhe
                       (Germany), 3 Jun 2025 - 5 Jun 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/1049704},
}