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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/hess-2020-438
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-438
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Oct 2020

13 Oct 2020

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This preprint is currently under review for the journal HESS.

Multi-variable evaluation of land surface processes in forced and coupled modes reveals new error sources to the simulated water cycle in the IPSL climate model

Hiroki Mizuochi1,2, Agnes Ducharne2,3, Frédérique Cheruy3,4,5, Josefine Ghattas3, Amen Al-Yaari2,3,6, Jean-Pierre Wigneron6, Philippe Peylin3,7, Fabienne Maignan3,7, and Nicolas Vuichard3,7 Hiroki Mizuochi et al.
  • 1National Institute of Advanced Industrial Science and Technology (AIST), Geological Survey of Japan, Tsukuba, 305-8567, Japan
  • 2UMR METIS (Milieux environnementaux, transferts et interactions dans les hydrosystèmes et les sols), Sorbonne Université, CNRS, EPHE, Paris, France
  • 3IPSL (Institut Pierre Simon Laplace), Sorbonne Université, CNRS, Paris, France
  • 4LMD (Laboratoire de Météorologie Dynamique), Sorbonne Université, ENS, PSL Université, École polytechnique, Institut Polytechnique de Paris, CNRS, Paris, France
  • 5ISMAR/CNR, Via del Fosso del Cavaliere, 100 00133 Roma, Italy
  • 6INRAE, UMR 1391 ISPA, Villenave d'Ornon, France
  • 7LSCE (Laboratoire des Sciences du Climat et de l'Environnement), UMR 8212 CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette CEDEX, France

Abstract. Evaluating land surface models (LSMs) using available observations is important to understand the potential and limitations of current Earth system models in simulating water- and carbon-related variables. To reveal the error sources of a land surface model (LSM), four essential climate variables have been evaluated in this paper (i.e., surface soil moisture, evapotranspiration, leaf area index, and surface albedo) via simulations with IPSL LSM ORCHIDEE (Organizing Carbon and Hydrology in Dynamic Ecosystems), particularly focusing on the difference between (i) forced simulations with atmospheric forcing data (WATCH-Forcing-DATA-ERA-Interim: WFDEI) and (ii) coupled simulations with the IPSL atmospheric general circulation model. Results from statistical evaluation using satellite- and ground-based reference data show that ORCHIDEE is well equipped to represent spatiotemporal patterns of all variables in general. However, further analysis against various landscape/meteorological factors (e.g., plant functional type, slope, precipitation, and irrigation) suggests potential uncertainty relating to freezing/snowmelt, temperate plant phenology, irrigation, as well as contrasted responses between forced and coupled mode simulations. The biases in the simulated variables are amplified in coupled mode via surface–atmosphere interactions, indicating a strong link between irrigation–precipitation and a relatively complex link between precipitation–evapotranspiration that reflects the hydrometeorological regime of the region (energy-limited or water-limited) and snow-albedo feedback in mountainous and boreal regions. The different results between forced and coupled modes imply the importance of model evaluation under both modes to isolate potential sources of uncertainty in the model.

Hiroki Mizuochi et al.

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Hiroki Mizuochi et al.

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