Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4547-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4547-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Development and technical paper
 | 
27 May 2026
Development and technical paper |  | 27 May 2026

A hybrid framework for the spin-up and initialization of distributed coupled ecohydrological-biogeochemical models

Taiqi Lian, Ziyan Zhang, Athanasios Paschalis, and Sara Bonetti

Related authors

Agreement, opposition, and dataset influence in global evapotranspiration trends
Johanna Ruth Thomson, Yannis Markonis, Riya Dutta, Simone Fatichi, Martin Hanel, Akash Koppa, Petr Máca, Vishal Thakur, Mijael Rodrigo Vargas Godoy, and Athanasios Paschalis
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2026-334,https://doi.org/10.5194/essd-2026-334, 2026
Preprint under review for ESSD
Short summary
Soil-plant-water relationships and crop yield under conservation agricultural practices: A biophysical basis for tailored adoption
Mosisa Tujuba Wakjira, Renske Hijbeek, Joost van Heerwaarden, John Koestel, Sara Bonetti, Johan Six, and Katrien Descheemaeker
EGUsphere, https://doi.org/10.5194/egusphere-2026-2816,https://doi.org/10.5194/egusphere-2026-2816, 2026
This preprint is open for discussion and under review for SOIL (SOIL).
Short summary
A synthesis of water, energy, and carbon fluxes sensitivity to climate variables in Southeast Asia
Jianning Ren, Zhaoyang Luo, Xiangzhong Luo, Stefano Galelli, Athanasios Paschalis, Valeriy Ivanov, Shanti Shwarup Mahto, and Simone Fatichi
EGUsphere, https://doi.org/10.5194/egusphere-2025-4570,https://doi.org/10.5194/egusphere-2025-4570, 2025
Preprint archived
Short summary
T&C-CROP: representing mechanistic crop growth with a terrestrial biosphere model (T&C, v1.5) – model formulation and validation
Jordi Buckley Paules, Simone Fatichi, Bonnie Warring, and Athanasios Paschalis
Geosci. Model Dev., 18, 1287–1305, https://doi.org/10.5194/gmd-18-1287-2025,https://doi.org/10.5194/gmd-18-1287-2025, 2025
Short summary
Hydro-pedotransfer functions: a roadmap for future development
Tobias Karl David Weber, Lutz Weihermüller, Attila Nemes, Michel Bechtold, Aurore Degré, Efstathios Diamantopoulos, Simone Fatichi, Vilim Filipović, Surya Gupta, Tobias L. Hohenbrink, Daniel R. Hirmas, Conrad Jackisch, Quirijn de Jong van Lier, John Koestel, Peter Lehmann, Toby R. Marthews, Budiman Minasny, Holger Pagel, Martine van der Ploeg, Shahab Aldin Shojaeezadeh, Simon Fiil Svane, Brigitta Szabó, Harry Vereecken, Anne Verhoef, Michael Young, Yijian Zeng, Yonggen Zhang, and Sara Bonetti
Hydrol. Earth Syst. Sci., 28, 3391–3433, https://doi.org/10.5194/hess-28-3391-2024,https://doi.org/10.5194/hess-28-3391-2024, 2024
Short summary
More articles (1)

Cited articles

Ammann, C., Spirig, C., Leifeld, J., and Neftel, A.: Assessment of the nitrogen and carbon budget of two managed temperate grassland fields, Agr. Ecosyst. Environ., 133, 150–162, https://doi.org/10.1016/j.agee.2009.05.006, 2009. a
Baroni, G., Schalge, B., Rakovec, O., Kumar, R., Schüler, L., Samaniego, L., Simmer, C., and Attinger, S.: A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies, Water Resour. Res., 55, 990–1010, https://doi.org/10.1029/2018WR023941, 2019. a
Botter, M., Zeeman, M., Burlando, P., and Fatichi, S.: Impacts of fertilization on grassland productivity and water quality across the European Alps under current and warming climate: insights from a mechanistic model, Biogeosciences, 18, 1917–1939, https://doi.org/10.5194/bg-18-1917-2021, 2021. a
Breiman, L.: Random Forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. a, b
Carranza, C., Nolet, C., Pezij, M., and Van Der Ploeg, M.: Root zone soil moisture estimation with Random Forest, J. Hydrol., 593, 125840, https://doi.org/10.1016/j.jhydrol.2020.125840, 2021. a
More articles (73)
Download
Short summary
Initializing spatially distributed ecohydrological models with soil biogeochemistry is computationally expensive, especially when lateral fluxes must be resolved. We developed a hybrid initialization framework that combines 1D flux-tracking spin-up simulations with random forest extrapolation to generate spatially heterogeneous, topography-informed initial conditions. The approach captures the effects of topography and lateral transport while reducing computational costs by up to 90 %.
Read more
Share