Frozen soil parameterization in a distributed biosphere hydrological model

Wang, Lei; Koike, Takao; Yang, Kun; Jin, Rui; Li, H.

doi:10.5194/hess-14-557-2010

Cited by 71 publications

(43 citation statements)

References 41 publications

(49 reference statements)

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“…This behaviour has also been observed in previous studies for different field sites, e.g. Kane et al (1991) for an Alaskan site and Wang et al (2010) for a site in eastern Tibet. However, no detailed discussion was given there.…”

Section: Temperature and Thaw Depth Deviations In Summersupporting

confidence: 62%

Modeling the thermal dynamics of the active layer at two contrasting permafrost sites on Svalbard and on the Tibetan Plateau

et al. 2011

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Abstract. Employing a one-dimensional, coupled thermal and hydraulic numerical model, we quantitatively analyze high-resolution, multi-year data from the active layers at two contrasting permafrost sites. The model implements heat conduction with the de Vries parameterization, heat convection with water and vapor flow, freeze-thaw transition parameterized with a heuristic soil-freezing characteristic, and liquid water flow with the Mualem-van Genuchten parameterization. The model is driven by measured temperatures and water contents at the upper and lower boundary with all required material properties deduced from the measured data. The aims are (i) to ascertain the applicability of such a rather simple model, (ii) to quantify the dominating processes, and (iii) to discuss possible causes of remaining deviations.Soil temperatures and water contents as well as characteristic quantities like thaw depth and duration of the isothermal plateau could be reproduced. Heat conduction is found to be the dominant process by far at both sites, with nonconductive transport contributing a maximum of some 3 % to the mean heat flux at the Spitsbergen site, most of the time very much less, and practically negligible at the Tibetan site. Hypotheses discussed to explain the remaining deviations between measured and simulated state variables include, besides some technical issues, infiltration of snow Correspondence to: K. Roth (kurt.roth@iup.uni-heidelberg.de) melt, dry cracking with associated vapor condensation, and mechanical soil expansion in detail.

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Section: Temperature and Thaw Depth Deviations In Summersupporting

confidence: 62%

Modeling the thermal dynamics of the active layer at two contrasting permafrost sites on Svalbard and on the Tibetan Plateau

et al. 2011

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“…Through these point evaluations and sensitivity studies, the WEB-DHM-S has demonstrated the potential to address basin-scale snow processes (e.g., the snowmelt runoff), since it inherits the distributed hydrological framework from the WEB-DHM (e.g., the slope-driven runoff generation with a grid-hillslope scheme, and the flow routing in the river network). In next studies, the WEB-DHM-S can be further coupled with a frozen soil scheme (e.g., Wang et al, 2010) and a glacier model to improve the integrated water resources management in cold and high elevated river basins.…”

Section: Discussionmentioning

confidence: 99%

Improving the snow physics of WEB-DHM and its point evaluation at the SnowMIP sites

Shrestha

Wang

Koike

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. In this study, the snow physics of a distributed biosphere hydrological model, referred to as the Water and Energy Budget based Distributed Hydrological Model (WEB-DHM) is significantly improved by incorporating the three-layer physically based energy balance snowmelt model of Simplified Simple Biosphere 3 (SSiB3) and the Biosphere-Atmosphere Transfer Scheme (BATS) albedo scheme. WEB-DHM with improved snow physics is hereafter termed WEB-DHM-S. Since the in-situ observations of spatially-distributed snow variables with high resolution are currently not available over large regions, the new distributed system (WEB-DHM-S) is at first rigorously tested with comprehensive point measurements. The stations used for evaluation comprise the four open sites of the Snow Model Intercomparison Project (SnowMIP) phase 1 with different climate characteristics (Col de Porte in France, Weissfluhjoch in Switzerland, Goose Bay in Canada and Sleepers River in USA) and one open/forest site of the SnowMIP phase 2 (Hitsujigaoka in Japan). The comparisons of the snow depth, snow water equivalent, surface temperature, snow albedo and snowmelt runoff at the SnowMIP1 sites reveal that WEB-DHM-S, in general, is capable of simulating the internal snow process better than the original WEB-DHM. Sensitivity tests (through incremental addition of model processes) are performed to illustrate the necessity of improvements over WEB-DHM and indicate that both the 3-layer snow module and the new albedo scheme are essential. The canopy effects on snow processes are studied at the Hitsujigaoka site of the SnowMIP2 showing that the snow holding capacity of the canopy plays a vital role in simulating the snow depth on ground. Through these point evalua-Correspondence to: M. Shrestha (maheswor@hydra.t.u-tokyo.ac.jp) tions and sensitivity studies, WEB-DHM-S has demonstrated the potential to address basin-scale snow processes (e.g., the snowmelt runoff), since it inherits the distributed hydrological framework from the WEB-DHM (e.g., the slope-driven runoff generation with a grid-hillslope scheme, and the flow routing in the river network).

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“…WEB-DHM has been used in several evaluations and applications (Wang et al, 2010a(Wang et al, , b, 2012Shrestha et al, 2014). WEB-DHM input data include precipitation, temperature, downward solar radiation, long-wave radiation, air pressure, wind speed, and humidity.…”

Section: Web-dhmmentioning

confidence: 99%

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

Zhang

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The applicability of six fine-resolution precipitation products, including precipitation radar, infrared, microwave and gauge-based products, using different precipitation computation recipes, is evaluated using statistical and hydrological methods in northeastern China. In addition, a framework quantifying uncertainty contributions of precipitation products, hydrological models, and their interactions to uncertainties in ensemble discharges is proposed. The investigated precipitation products are Tropical Rainfall Measuring Mission (TRMM) products (TRMM3B42 and TRMM3B42RT), Global Land Data Assimilation System (GLDAS)/Noah, Asian Precipitation -Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and a Global Satellite Mapping of Precipitation (GSMAP-MVK+) product. Two hydrological models of different complexities, i.e. a water and energy budget-based distributed hydrological model and a physically based semi-distributed hydrological model, are employed to investigate the influence of hydrological models on simulated discharges. Results show APHRODITE has high accuracy at a monthly scale compared with other products, and GSMAP-MVK+ shows huge advantage and is better than TRMM3B42 in relative bias (RB), Nash-Sutcliffe coefficient of efficiency (NSE), root mean square error (RMSE), correlation coefficient (CC), false alarm ratio, and critical success index. These findings could be very useful for validation, refinement, and future development of satellite-based products (e.g. NASA Global Precipitation Measurement). Although large uncertainty exists in heavy precipitation, hydrological models contribute most of the uncertainty in extreme discharges. Interactions between precipitation products and hydrological models can have the similar magnitude of contribution to discharge uncertainty as the hydrological models. A better precipitation product does not guarantee a better discharge simulation because of interactions. It is also found that a good discharge simulation depends on a good coalition of a hydrological model and a precipitation product, suggesting that, although the satellite-based precipitation products are not as accurate as the gauge-based products, they could have better performance in discharge simulations when appropriately combined with hydrological models. This information is revealed for the first time and very beneficial for precipitation product applications.

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Frozen soil parameterization in a distributed biosphere hydrological model

Cited by 71 publications

References 41 publications

Modeling the thermal dynamics of the active layer at two contrasting permafrost sites on Svalbard and on the Tibetan Plateau

Modeling the thermal dynamics of the active layer at two contrasting permafrost sites on Svalbard and on the Tibetan Plateau

Improving the snow physics of WEB-DHM and its point evaluation at the SnowMIP sites

Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

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