Data supplement for: Agreement of analytical and simulation-based estimates of the required land depth in climate models

  1. Steinert, Norman J. 1
  2. González Rouco, J. Fidel 1
  3. Melo Aguilar, Camilo A. 1
  4. García-Pereira, Félix 1
  5. García-Bustamante, Elena 2
  6. De Vrese, Philipp 3
  7. Alexeev, Vladimir 4
  8. Jungclaus, Johann H. 3
  9. Lorenz, Stephan J. 3
  10. Hagemann, Stefan 5
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
    info

    Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas

    Madrid, España

    ROR https://ror.org/05xx77y52

  3. 3 Max Planck Institute for Meteorology
    info

    Max Planck Institute for Meteorology

    Hamburgo, Alemania

    ROR https://ror.org/05esem239

  4. 4 University of Alaska Fairbanks
    info

    University of Alaska Fairbanks

    Fairbanks, Estados Unidos

    ROR https://ror.org/01j7nq853

  5. 5 Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research
    info

    Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research

    Geesthacht, Alemania

    ROR https://ror.org/03qjp1d79

Zugehörigkeit anzeigen +

Verleger: Dryad

Datum der Publikation: 2021

Art: Dataset

DOI: 10.5061/DRYAD.XPNVX0KFN lock_openOpen Access editor

Zusammenfassung

Many current-generation climate models have land components that are too shallow. Under climate change conditions, the long-term warming trend at the surface propagates deeper into the ground than the commonly used 3-10m. Shallow models alter the terrestrial heat storage and distribution of temperatures in the subsurface, influencing the simulated land-atmosphere interactions. Previous studies focusing on annual timescales suggest that deeper models are required to match subsurface-temperature observations and the classic analytical heat conduction solution. However, for a systematic investigation of land-model deepening in the frame of anthropogenic climate change, the classic analytical solution is inaccurate because it does not mimic the timescale and amplitude of the simulated warming trend. This study intends to bridge the gap between analytical and simulation-based estimates of the subsurface thermodynamic state by adapting the classic analytical framework to mimic long-term anthropogenic warming. The analysis shows that a land-model depth of at least 170m is recommended for a proper simulation of the post-1850 ground climate, which differs up to 30% from the estimate of the classic approach. Compared to previous studies, this provides an accurate estimate of the required land model depth for long-term climate-change simulations and indicates the relative bias in insufficiently deep land models.