Preprints
https://doi.org/10.5194/egusphere-2024-445
https://doi.org/10.5194/egusphere-2024-445
25 Mar 2024
 | 25 Mar 2024

Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution

Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet

Abstract. We present here a strategy to obtain a realistic hydrological simulation over France with the ORCHIDEE land surface model. The model is forced by the Safran atmospheric reanalysis at 8-km resolution and hourly time steps from 1959 to 2020, and by a high-resolution DEM (around 1.3 km in France). Each Safran grid cell is decomposed into a graph of hydrological transfer units (HTUs) based on the higher resolution DEM to better describe lateral water movements. In particular, it is possible to accurately locate 3507 stations among the 4081 stations collected from the national hydrometric network HydroPortail (filtered to drain an upstream area larger than 64 km2). A simple trial-and-error calibration is conducted by modifying selected parameters of ORCHIDEE to reduce the biases of the simulated water budget compared to the evapotranspiration products (the GLEAM and FLUXCOM datasets) and the HydroPortail observations of river discharge. The simulation that is eventually preferred is extensively assessed with classic goodness-of-fit indicators complemented by trend analysis at 1785 stations (filtered to have records for at least 8 entire years) across France. For example, the median bias of evapotranspiration is −0.5 % against GLEAM (−4.3 % against FLUXCOM), the median bias of river discharge is 6.3 %, and the median KGE of square-rooted river discharge is 0.59. The spatial contrasts and temporal trends of river discharge across France are well represented with an accuracy of 76.4 % for the trend signal and an accuracy of 62.7 % for the trend significance. Despite inadequate performance in some specific regions (the Alps and the Seine sedimentary basin), this study offers a thorough historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.

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Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-445', Anonymous Referee #1, 01 May 2024
    • AC1: 'Reply on RC1', Peng Huang, 12 Jul 2024
  • RC2: 'Comment on egusphere-2024-445', Anonymous Referee #2, 26 May 2024
    • AC2: 'Reply on RC2', Peng Huang, 12 Jul 2024
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet

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Short summary
We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a thorough historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.