Coupling of the Calculated Freezing and Thawing Front Parameterization in the Earth System Model CAS-ESM

Li, Ruichao; Xie, Jinbo; Xie, Zhenghui; Jia, Binghao; Gao, Jinzhu; Qin, Peihua; Wang, Longhuan; Chen, Si

doi:10.1007/s00376-023-2203-x

Cited by 4 publications

(1 citation statement)

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“…A typical example of frozen soil hydrological model is the FLEX-Topo-FS model developed by Gao et al (2022), which calculated the frozen soil depth and the volume of frozen groundwater using the Stefan equation, but the impact of frozen soil on soil hydraulic properties were not considered. Numerical solution schemes such as finite difference are typically adopted in earth system and land surface models to produce detailed simulations on the water content and temperature over the soil profile and the changes in frost-thaw fronts (e.g., Gao et al, 2019;Li et al, 2023;Liu et al, 2013;Zheng et al, 2019). While numerical methods offer detailed process descriptions, they require extensive data and high-resolution spatio-temporal discretization, making them unsuitable for conceptual or semi-distributed hydrological models.…”

Section: Introductionmentioning

confidence: 99%

Model Diagnostic Analysis in a Cold Basin Influenced by Frozen Soils With the Aid of Stable Isotope

Nan,

Tian,

2024

Water Resources Research

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Understanding the hydrological processes on the Tibetan Plateau (TP) under climate change is an important scientific question. The frequent multiphase transfer exacerbates the complexity of hydrological processes on the TP, which brings equifinality problem to hydrological models and causes large uncertainties in quantifying the contributions of runoff components. Tracer‐aided hydrological models are helpful for improving model performances and have been adopted in cryospheric regions, but the influence of frozen soil has yet to be considered. This study adopted the Tracer‐aided Tsinghua Representative Elementary Watershed model (THREW‐T) in a typical cold basin with widespread frozen soil on the TP. The model structure was diagnosed with isotope by identifying the influences of frozen soil. A simplified catchment‐scale frozen soil module was incorporated into the model. Results showed that: (a) The THREW‐T model cannot simultaneously simulate baseflow and stream water isotope well. The imbalance of simulations on two objectives could be attributed to the influence of frozen soil, resulting in seasonal variation of soil‐related parameters, which was not considered in the model. (b) Incorporating the frozen soil module significantly improved the balance of baseflow and isotope simulation, simultaneously producing low baseflow and high contribution of subsurface runoff during wet seasons. (c) The frozen soil had little influence on the annual streamflow, but changed the runoff seasonality by reducing baseflow during dry seasons and increasing subsurface runoff during wet seasons. The frozen soil module was still simplified, and further work is needed to improve the physical representation of soil freeze‐thaw process. This study highlights the value of tracer‐aided hydrological modeling method on diagnosing model structure by identifying the influence of specific processes such as frozen soil.

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