Dataset: Underestimated land heat uptake alters the global energy distribution in CMIP6 climate models

  1. Steinert, Norman Julius 1234
  2. Cuesta-Valero, Francisco José 5
  3. García-Pereira, Félix 3
  4. de Vrese, Philipp 6
  5. Melo Aguilar, Camilo Andrés 7
  6. García-Bustamante, Elena 8
  7. Jungclaus, Johann 6
  8. González-Rouco, Jesús Fidel 3
  1. 1 CICERO Center for International Climate Research
  2. 2 Institute of Geosciences
  3. 3 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  4. 4 NORCE Norwegian Research Centre
  5. 5 Helmholtz Centre for Environmental Research
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    Helmholtz Centre for Environmental Research

    Leipzig, Alemania

    ROR https://ror.org/000h6jb29

  6. 6 Max Planck Institute for Meteorology
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    Max Planck Institute for Meteorology

    Hamburgo, Alemania

    ROR https://ror.org/05esem239

  7. 7 Universitat de les Illes Balears
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    Universitat de les Illes Balears

    Palma, España

    ROR https://ror.org/03e10x626

  8. 8 Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
    info

    Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas

    Madrid, España

    ROR https://ror.org/05xx77y52

Editorial: Zenodo

Año de publicación: 2024

Tipo: Dataset

DOI: 10.5281/ZENODO.10669977 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

This dataset corresponds to the following publication:Steinert, N., J., et al.: Underestimated land heat uptake alters the global energy distribution in CMIP6 climate models, in review. Current global warming results in an uptake of heat by the Earth system, which is distributed among the different components of the climate system. However, current-generation climate models deliver heat inventory and partitioning estimates of Earth system components that differ from recent observations. Here we investigate the global heat distribution under warming by using fully-coupled CMIP6 Earth system model experiments, including a version of the MPI-ESM with a deep land model component, accommodating the required space for more realistic terrestrial heat storage. The results show that sufficiently deep land models exert increased subsurface land heat uptake, leading to a heat uptake partitioning among the Earth system components that is closer to observational estimates. The results are relevant for the understanding of Earth's heat partitioning and highlight the importance of the land heat sink in the Earth heat inventory.  This dataset includes two file archives:MPI-ESM1-2-LR-shallow (modified MPI-ESM shallow experiment output variables required to calculate the Earth heat inventories)MPI-ESM1-2-LR-deep (modified MPI-ESM deep experiment output variables required to calculate the Earth heat inventories) This dataset represents source data for the following publication. Please refer to this reference for a more detailed description of the use of this dataset:Steinert, N., J., et al.: Underestimated land heat uptake alters the global energy distribution in CMIP6 climate models, in review. For any questions regarding the dataset, please feel free to contact Norman J. Steinert (norman.steinert@cicero.oslo.no, normanst@ucm.es)