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Agreement of analytical and simulation-based estimates of the required land depth in climate models

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de Vrese,  Philipp
Climate-Biogeosphere Interaction, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

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Jungclaus,  Johann H.       
Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

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Lorenz,  Stephan
Numerical Model Development and Data Assimilation, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

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2021GL094273.pdf
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Citation

Steinert, N., González-Rouco, J., Melo Aguilar, C., García Pereira, F., García-Bustamante, E., de Vrese, P., et al. (2021). Agreement of analytical and simulation-based estimates of the required land depth in climate models. Geophysical Research Letters, 48: e2021GL094273. doi:10.1029/2021GL094273.


Cite as: https://hdl.handle.net/21.11116/0000-0009-78D9-C
Abstract
Previous analytical and simulation-based analyses suggest that deeper land surface models are needed to realistically simulate the terrestrial thermal state in climate models, with implications for land-atmosphere interactions. Analytical approaches mainly focused on the subsurface propagation of harmonics such as the annual temperature signal, and a direct comparison with climate-change model output has been elusive. This study addresses the propagation of a harmonic pulse fitted to represent the timescale and amplitude of anthropogenic warming. Its comparison to land model simulations with stepwise increased bottom boundary depth leads to an agreement between the simulation-based and analytical frameworks for long-term climate trends. Any depth increase gradually decreases the relative error in the subsurface thermodynamics, and a minimum depth of 170 m is recommended to simulate the ground climate adequately. The approach provides an accurate estimate of the required land-model depth for climate-change simulations and assesses the relative bias in insufficiently deep land models. © 2021. American Geophysical Union. All Rights Reserved.