The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics

Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the re...

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Veröffentlicht in:Water resources research 2016-02, Vol.52 (2), p.880-902
Hauptverfasser: Shen, Chaopeng, Riley, William J., Smithgall, Kurt R., Melack, John M., Fang, Kuai
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container_issue 2
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creator Shen, Chaopeng
Riley, William J.
Smithgall, Kurt R.
Melack, John M.
Fang, Kuai
description Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the representation and properties of channels influence simulated land surface hydrologic, biogeochemical, and ecosystem dynamics. A zone near the channels where various fluxes and states are significantly influenced by the channels, referred to as the fan of influence (FoI) of channels, has been identified. We elucidated two mechanisms inducing the model‐derived FoI: the base flow mechanism, in which incised, gaining streams lower the water table and induce more base flow, and the relatively more efficient conveyance of the channel network compared to overland flow. We systematically varied drainage density and grid resolution to quantify the size of the FoI, which is found to span a large fraction of the watershed (25–50%) for hydrologic variables including depth to water table and recharge, etc. The FoI is more pronounced with low‐resolution simulations but remains noticeable in hyperresolution (25 m) subbasin simulations. The FoI and the channel influence on basin‐average fluxes are also similar in simulations with alternative parameter sets. We found that high‐order, entrenched streams cause larger FoI. In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow. Key Points: Channels provide important feedbacks to land surface dynamics The influence is disproportionally large on wetlands and riparian zones Explicit representation of channels has advantages in efficiency
doi_str_mv 10.1002/2015WR018086
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We systematically varied drainage density and grid resolution to quantify the size of the FoI, which is found to span a large fraction of the watershed (25–50%) for hydrologic variables including depth to water table and recharge, etc. The FoI is more pronounced with low‐resolution simulations but remains noticeable in hyperresolution (25 m) subbasin simulations. The FoI and the channel influence on basin‐average fluxes are also similar in simulations with alternative parameter sets. We found that high‐order, entrenched streams cause larger FoI. In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow. 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(LBNL), Berkeley, CA (United States)</creatorcontrib><title>The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics</title><title>Water resources research</title><description>Large‐scale land models assume unidirectional land‐to‐river hydrological interactions, without considering feedbacks between channels and land. Using a tested, physically based model with explicit multiway interactions between overland, channel, wetland, and groundwater flows, we assessed how the representation and properties of channels influence simulated land surface hydrologic, biogeochemical, and ecosystem dynamics. A zone near the channels where various fluxes and states are significantly influenced by the channels, referred to as the fan of influence (FoI) of channels, has been identified. 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In addition, removing the simulated channels has disproportionally large influence on modeled wetland areas and inundation duration, which has implications for coupled biogeochemical or ecological modeling. Our results suggest that explicit channel representation provides important feedbacks to land surface dynamics which should be considered in meso or large‐scale simulations. Since grid refinement incurs prohibitive computational cost, subgrid channel parameterization has advantages in efficiency over grid‐based representations that do not distinguish between overland flow and channel flow. 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source Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; EZB-FREE-00999 freely available EZB journals
subjects Base flow
Biogeochemistry
Channel flow
channel‐land interaction
Community Land Model
Drainage density
Ecological models
Ecosystem dynamics
Effluent streams
fan of influence of streams
GEOSCIENCES
Groundwater flow
Groundwater recharge
Overland flow
River ecology
Simulation
Surface water
Water depth
Water table
Wetlands
wetlands inundation duration
title The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics
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