References

G. Wang, Y. Lin and W. Yi. Kernel Fusion: An Effective Method for Better Power Efficiency on Multithreaded GPU. In: 2010 IEEE/ACM International Conference on Green Computing and Communications & International Conference on Cyber, Physical and Social Computing (2010); pp. 344–350. ↩¹

D. Kavetski and G. Kuczera. Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration. Water Resources Research 43, W03411 (2007). ↩¹ ↩²

D. G. Tarboton, T. G. Chowdhury and T. H. Jackson. A Spatially Distributed Energy Balance Snowmelt Model. Working Paper WP-94-HWR-DGT/003 (Utah Water Research Laboratory, Utah State University, 1994). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹ ↩¹² ↩¹³ ↩¹⁴ ↩¹⁵

J. Noilhan and J.-F. Mahfouf. The ISBA land surface parameterisation scheme. Global and Planetary Change 13, 145–159 (1996). Soil Moisture Simulation. ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹

L. A. Richards. Capillary Conduction of Liquids through Porous Mediums. Physics 1, 318–333 (1931). ↩¹

G. Bonan. Soil Moisture. In: Climate Change and Terrestrial Ecosystem Modeling (Cambridge University Press, 2019); pp. 115–133. ↩¹

M. T. van Genuchten. A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil Science Society of America Journal 44, 892–898 (1980). ↩¹ ↩² ↩³ ↩⁴ ↩⁵

S. Westermann, T. Ingeman-Nielsen, J. Scheer, K. Aalstad, J. Aga, N. Chaudhary, B. Etzelmüller, S. Filhol, A. Kääb, C. Renette, L. S. Schmidt, T. V. Schuler, R. B. Zweigel, L. Martin, S. Morard, M. Ben-Asher, M. Angelopoulos, J. Boike, B. Groenke, F. Miesner, J. Nitzbon, P. Overduin, S. M. Stuenzi and M. Langer. The CryoGrid Community Model (Version 1.0) – a Multi-Physics Toolbox for Climate-Driven Simulations in the Terrestrial Cryosphere. Geoscientific Model Development 16, 2607–2647 (2023). ↩¹ ↩² ↩³ ↩⁴ ↩⁵

J. C. Jaeger. Application of the Theory Of Heat Conduction to Geothermal Measurements. In: Terrestrial Heat Flow (American Geophysical Union (AGU), 1965); Chapter 2, pp. 7–23. ↩¹

A. H. Lachenbruch and B. V. Marshall. Changing Climate: Geothermal Evidence from Permafrost in the Alaskan Arctic. Science 234, 689–696 (1986). ↩¹

H. Douville, J.-F. Royer and J.-F. Mahfouf. A new snow parameterization for the Météo-France climate model: Part I: validation in stand-alone experiments. Climate Dynamics 12, 21–35 (1995). ↩¹ ↩² ↩³ ↩⁴

S. Westermann, M. Langer, J. Boike, M. Heikenfeld, M. Peter, B. Etzelmüller and G. Krinner. Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3. Geoscientific Model Development 9, 523–546 (2016). ↩¹ ↩² ↩³ ↩⁴ ↩⁵

Y.-C. Yen. Review of Thermal Properties of Snow, Ice and Sea Ice. CRREL Report 81-10 (U.S. Army Cold Regions Research and Engineering Laboratory (CRREL), 1981). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

M. Sturm, J. Holmgren, M. König and K. Morris. The thermal conductivity of seasonal snow. Journal of Glaciology 43, 26–41 (1997). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹

G. E. Weller and P. Schwerdtfeger. Short Notes: New Data on the Thermal Conductivity of Natural Snow. Journal of Glaciology 10, 309–311 (1971). ↩¹ ↩² ↩³ ↩⁴

M. Willeit and A. Ganopolski. PALADYN v1.0, a Comprehensive Land Surface–Vegetation–Carbon Cycle Model of Intermediate Complexity. Geoscientific Model Development 9, 3817–3857 (2016). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹ ↩¹² ↩¹³ ↩¹⁴ ↩¹⁵ ↩¹⁶ ↩¹⁷ ↩¹⁸ ↩¹⁹ ↩²⁰ ↩²¹ ↩²² ↩²³ ↩²⁴ ↩²⁵ ↩²⁶ ↩²⁷ ↩²⁸ ↩²⁹ ↩³⁰ ↩³¹ ↩³² ↩³³ ↩³⁴ ↩³⁵ ↩³⁶ ↩³⁷ ↩³⁸ ↩³⁹ ↩⁴⁰ ↩⁴¹ ↩⁴² ↩⁴³ ↩⁴⁴ ↩⁴⁵ ↩⁴⁶ ↩⁴⁷ ↩⁴⁸ ↩⁴⁹ ↩⁵⁰ ↩⁵¹ ↩⁵² ↩⁵³ ↩⁵⁴ ↩⁵⁵ ↩⁵⁶ ↩⁵⁷ ↩⁵⁸ ↩⁵⁹ ↩⁶⁰ ↩⁶¹ ↩⁶² ↩⁶³ ↩⁶⁴ ↩⁶⁵ ↩⁶⁶ ↩⁶⁷ ↩⁶⁸ ↩⁶⁹ ↩⁷⁰ ↩⁷¹ ↩⁷² ↩⁷³ ↩⁷⁴ ↩⁷⁵ ↩⁷⁶ ↩⁷⁷ ↩⁷⁸ ↩⁷⁹ ↩⁸⁰ ↩⁸¹ ↩⁸² ↩⁸³ ↩⁸⁴ ↩⁸⁵ ↩⁸⁶ ↩⁸⁷ ↩⁸⁸ ↩⁸⁹ ↩⁹⁰ ↩⁹¹ ↩⁹² ↩⁹³ ↩⁹⁴ ↩⁹⁵ ↩⁹⁶ ↩⁹⁷ ↩⁹⁸ ↩⁹⁹ ↩¹⁰⁰ ↩¹⁰¹ ↩¹⁰² ↩¹⁰³ ↩¹⁰⁴ ↩¹⁰⁵ ↩¹⁰⁶ ↩¹⁰⁷ ↩¹⁰⁸ ↩¹⁰⁹ ↩¹¹⁰ ↩¹¹¹

A. Haxeltine and I. C. Prentice. BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types. Global Biogeochemical Cycles 10, 693–709 (1996). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹ ↩¹² ↩¹³ ↩¹⁴ ↩¹⁵ ↩¹⁶ ↩¹⁷ ↩¹⁸ ↩¹⁹ ↩²⁰ ↩²¹ ↩²² ↩²³ ↩²⁴ ↩²⁵

S. P. Harrison, W. Cramer, O. Franklin, I. C. Prentice, H. Wang, Å. Brännström and others. Eco-evolutionary optimality as a means to improve vegetation and land-surface models. New Phytologist 231, 2125–2141 (2021). ↩¹ ↩² ↩³ ↩⁴

B. E. Medlyn, R. A. Duursma, D. Eamus, D. S. Ellsworth, I. C. Prentice, C. V. Barton, K. Y. Crous, P. De Angelis, M. Freeman and L. Wingate. Reconciling the Optimal and Empirical Approaches to Modelling Stomatal Conductance. Global Change Biology 17, 2134–2144 (2011). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹

Y.-S. Lin, B. E. Medlyn, R. A. Duursma, I. C. Prentice, H. Wang, S. Baig and others. Optimal stomatal behaviour around the world. Nature Climate Change 5, 459–464 (2015). ↩¹ ↩² ↩³ ↩⁴

P. M. Cox. Description of the TRIFFID dynamic global vegetation model. Hadley Centre Technical Note 24 (2001). ↩¹ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

J. Kattge, S. Díaz, S. Lavorel, I. C. Prentice, P. Leadley, G. Bönisch and others. TRY – a global database of plant traits. Global Change Biology 17, 2905–2935 (2011). ↩¹ ↩² ↩³ ↩⁴

D. B. Clark, L. M. Mercado, S. Sitch, C. D. Jones, N. Gedney, M. J. Best, M. Pryor, G. G. Rooney, R. L. Essery, E. Blyth, O. Boucher, R. J. Harding, C. Huntingford and P. M. Cox. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics. Geoscientific Model Development 4, 701–722 (2011). ↩¹ ↩² ↩³ ↩⁴

S. Sitch, B. Smith, I. C. Prentice, A. Arneth, A. Bondeau, W. Cramer, J. O. Kaplan, S. Levis, W. Lucht, M. T. Sykes, K. Thonicke and S. Venevsky. Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the LPJ Dynamic Global Vegetation Model. Global Change Biology 9, 161–185 (2003). ↩¹ ↩² ↩³ ↩⁴

X. Zeng. Global Vegetation Root Distribution for Land Modeling. Journal of Hydrometeorology 2, 525–530 (2001). ↩¹ ↩² ↩³ ↩⁴ ↩⁵

D. L. Verseghy, N. A. McFarlane and M. Lazare. CLASS—A Canadian land surface scheme for GCMS, II. Vegetation model and coupled runs. International Journal of Climatology 13, 347–370 (1993). ↩¹ ↩² ↩³ ↩⁴

A. van Dijk and L. Bruijnzeel. Modelling rainfall interception by vegetation of variable density using an adapted analytical model. Part 1. Model description. Journal of Hydrology 247, 230–238 (2001). ↩¹

T. J. Lee and R. A. Pielke. Estimating the Soil Surface Specific Humidity. Journal of Applied Meteorology 31, 480–484 (1992). ↩¹ ↩² ↩³ ↩⁴

S. Zhou and B. Yu. Physical basis of the potential evapotranspiration and its estimation over land. Journal of Hydrology 641, 131825 (2024). ↩¹

W. J. Shuttleworth. Water Vapor in the Atmosphere. In: Terrestrial Hydrometeorology (John Wiley & Sons, Ltd, 2012); Chapter 2, pp. 14–24. ↩¹

O. Johansen. Thermal Conductivity of Soils. Ph.D. Thesis, Norwegian Institute of Technology (Trondheim, Norway, 1975). English translation: CRREL Draft Translation 637 (1977), U.S. Army Cold Regions Research and Engineering Laboratory. ↩¹

C. D. Peters-Lidard, E. Blackburn, X. Liang and E. F. Wood. The Effect of Soil Thermal Conductivity Parameterization on Surface Energy Fluxes and Temperatures. Journal of the Atmospheric Sciences 55, 1209–1224 (1998). ↩¹

P. Cosenza, P. Surrel, P. Marmet, F. Rejiba, S. Marty, M. Dabas and A. Tabbagh. Simultaneous determination of thermal conductivity, thermal diffusivity and specific heat in anisotropic soils. European Journal of Soil Science 54, 621–638 (2003). ↩¹ ↩²

D. Hillel. Introduction to Soil Physics (Academic Press, New York, 1982). ↩¹ ↩²