Simulation of Active Layer Dynamics, Upper Kolyma, Russia, using the Hydrograph Hydrological Model

Lebedeva, Liudmila; Semenova, O.; Vinogradova, Tatyana

doi:10.1002/ppp.1821

Cited by 18 publications

(26 citation statements)

References 22 publications

(41 reference statements)

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“…Structural differences in the soils of each side have important controls on their thermo‐hydrological regimes, and a pedological survey of the Kulingdakan watershed allowed us to assess this structural variability . The soils of the watershed consist of two horizons: a mineral horizon (mainly rocky/gravely loam) resulting from weathering of underlying basalts and, overlying this, an organic horizon composed of larch, moss and dwarf shrub litter.…”

Section: Methodsmentioning

confidence: 99%

Water and energy transfer modeling in a permafrost‐dominated, forested catchment of Central Siberia: The key role of rooting depth

Orgogozo

Прокушкин

Pokrovsky

et al. 2019

Permafrost & Periglacial

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To quantify the impact of evapotranspiration phenomena on active layer dynamics in a permafrost‐dominated forested watershed in Central Siberia, we performed a numerical cryohydrological study of water and energy transfer using a new open source cryohydrogeology simulator, with two innovative features: spatially distributed, mechanistic handling of evapotranspiration and inclusion of a numerical tool in a high‐ performance computing toolbox for numerical simulation of fluid dynamics, OpenFOAM. In this region, the heterogeneity of solar exposure leads to strong contrasts in vegetation cover, which constitutes the main source of variability in hydrological conditions at the landscape scale. The uncalibrated numerical results reproduce reasonably well the measured soil temperature profiles and the dynamics of infiltrated waters revealed by previous biogeochemical studies. The impacts of thermo‐hydrological processes on water fluxes from the soils to the stream are discussed through a comparison between numerical results and field data. The impact of evapotranspiration on water fluxes is studied numerically, and highlights a strong sensitivity to variability in rooting depth and corresponding evapotranspiration at slopes of different aspect in the catchment.

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Section: Methodsmentioning

confidence: 99%

Water and energy transfer modeling in a permafrost‐dominated, forested catchment of Central Siberia: The key role of rooting depth

Orgogozo

Прокушкин

Pokrovsky

et al. 2019

Permafrost & Periglacial

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“…Additional results of the model verification are presented in a companion paper by Lebedeva et al . ().…”

Section: Introductionmentioning

confidence: 99%

“…The general approach described herein for soil profile heat dynamics simulation was developed in the previous century (Vinogradov, 1988) and initially realised in the hydrological model Hydrograph (Vinogradov and Vinogradova, 2010), widely tested and used for modelling of runoff formation processes in permafrost zones O. M. Semenova et al, 2012;Lebedeva et al, 2014). Although the method has been oriented on available standard data observed at state network of meteorological stations in Russia (Daily data set of soil temperature at depths to 320 cm from meteorological stations of the Russian Federation-http://meteo.ru/english/climate/descrip8.htm (Sherstyukov, 2010)), some successful examples of its application in Canada (Pomeroy et al, 2011) show its parsimonious character and fitness for application across a wide range of available data.…”

Section: Introductionmentioning

confidence: 99%

“…Although the method has been oriented on available standard data observed at state network of meteorological stations in Russia (Daily data set of soil temperature at depths to 320 cm from meteorological stations of the Russian Federation-http://meteo.ru/english/climate/descrip8.htm (Sherstyukov, 2010)), some successful examples of its application in Canada (Pomeroy et al, 2011) show its parsimonious character and fitness for application across a wide range of available data. Additional results of the model verification are presented in a companion paper by Lebedeva et al (2014).…”

Section: Introductionmentioning

confidence: 99%

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Simulation of Soil Profile Heat Dynamics and their Integration into Hydrologic Modelling in a Permafrost Zone

Semenova

Vinogradov

Vinogradova

et al. 2014

Permafrost & Periglacial

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To improve hydrologic modelling in permafrost zones, we present a new hydrological modelling approach to simulate ground thaw/freeze processes and the consequent contribution to the hydrologic response. We apply several techniques to simplify the differential equations of heat transfer in soil profiles, from which we derive an analytical solution that accounts for phase changes in soil and includes specific approaches for heat transfer and phase‐dependent soil and snow conductivity. Use of soil horizon physical properties as the model parameters allows robust assessment relative to landscape characteristics. Following integration of these methods within the Hydrograph hydrological model, verification was conducted against a time series of soil temperature observed at the Kolyma Water Balance Station in the continuous permafrost zone of northeast Russia. Copyright © 2014 John Wiley & Sons, Ltd.

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“…It should then only be necessary to determine parameters for a runoff formation complex at 'representative sites', for those parameters to be applicable elsewhere in similar geographical conditions (e.g. Lebedeva et al, 2014;Semenova and Vinogradova, 2009;Semenova, 2010). The core of the St. Petersburg Hydrograph model is the concept of runoff elements, which is briefly described by Vinogradov et al (2011) and in detail by Vinogradov (1988).…”

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confidence: 99%

Barriers to progress in distributed hydrological modelling

Semenova

Beven

2015

Hydrological Processes

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Why model? We model because we cannot measure everything everywhere; because we want to plan ahead for how catchment responses might change in the future; because we want to infer what might happen under more extreme conditions; and because, in the words of Max Kohler, 'we want to show that we understand our science and its complicated interacting phenomena'. Indeed, it has been suggested that the name of our species, 'Homo sapiens', could be replaced by another, perhaps even more appropriate, 'Homo simulatis' (Vinogradov and Vinogradova, 2010), because, in practice, we all model continuously without even thinking about it. Modelling is our usual, normal and almost unconscious state. We perceive the world around as a system of images, idealized representations and mental models. This also applies to people, events and natural phenomena. And everyone's models and images are quite individual, incomplete and sometimes erroneous. It can be argued that we live in a virtual world (e.g. Baudrillard, 1981).In science, mathematical modelling gives us the opportunity to test the reliability of our comprehension of the nature of the processes and phenomena. Modelling in this sense aims to generalize, put in order and extract all relevant information available to the current theoretical and experimental science. In theory, at least, we understand that our virtual worlds have their limitations. Some compromise is necessary as a result of how well we understand and can represent the complexity of the real world. Compromise, of course, allows for many different solutions, but it does seem that in distributed hydrological modelling, there has not been a great deal of thought about an appropriate compromise. Rather, the recent modelling strategy has been technologically driven with the aim of converting distributed data of different types into useful information for decision-making in planning, development and management of hydraulic structures and water resources systems at the scales that current computing power will allow, whilst looking towards the 'hyperresolution' scales of the future (Wood et al., 2011). As a result of the practical demands of water resource management, older distributed models that do not adequately reflect our understanding of flow processes and connectivity on hillslopes still continue to be used. Our curiosity for the study of nature appears to have been dominated by a fascination with computational technology and implementation.But to make progress in distributed modelling, there are significant barriers that need to be overcome. We suggest that insufficient thought is being given as to how to overcome them and that for real progress to be made, those barriers need to be addressed more explicitly. After all, the physics of runoff formation anywhere should be the same even if the conditions under which runoff is generated are extremely diverse. Geology, relief, air temperature and precipitation are the main factors determining the existence of natural runoff zones, biomes, unit source areas or hydrolo...

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Simulation of Active Layer Dynamics, Upper Kolyma, Russia, using the Hydrograph Hydrological Model

Cited by 18 publications

References 22 publications

Water and energy transfer modeling in a permafrost‐dominated, forested catchment of Central Siberia: The key role of rooting depth

Water and energy transfer modeling in a permafrost‐dominated, forested catchment of Central Siberia: The key role of rooting depth

Simulation of Soil Profile Heat Dynamics and their Integration into Hydrologic Modelling in a Permafrost Zone

Barriers to progress in distributed hydrological modelling

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