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Journal ArticleDOI

Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems

Bernhard Lehner, +1 more
- 15 Jul 2013 - 
- Vol. 27, Iss: 15, pp 2171-2186
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TLDR
A new modeling framework that integrates hydrographic baseline data at a global scale with new modeling tools, specifically a river network routing model (HydroROUT) that is currently under development that is designed to provide an avenue for advanced hydro-ecological applications at large scales in a consistent and highly versatile way is presented.
Abstract
Despite significant recent advancements, global hydrological models and their input databases still show limited capabilities in supporting many spatially detailed research questions and integrated assessments, such as required in freshwater ecology or applied water resources management. In order to address these challenges, the scientific community needs to create improved large-scale datasets and more flexible data structures that enable the integration of information across and within spatial scales; develop new and advanced models that support the assessment of longitudinal and lateral hydrological connectivity; and provide an accessible modeling environment for researchers, decision makers, and practitioners. As a contribution, we here present a new modeling framework that integrates hydrographic baseline data at a global scale (enhanced HydroSHEDS layers and coupled datasets) with new modeling tools, specifically a river network routing model (HydroROUT) that is currently under development. The resulting ‘hydro-spatial fabric’ is designed to provide an avenue for advanced hydro-ecological applications at large scales in a consistent and highly versatile way. Preliminary results from case studies to assess human impacts on water quality and the effects of dams on river fragmentation and downstream flow regulation illustrate the potential of this combined data-and-modeling framework to conduct novel research in the fields of aquatic ecology, biogeochemistry, geo-statistical modeling, or pollution and health risk assessments. The global scale outcomes are at a previously unachieved spatial resolution of 500 m and can thus support local planning and decision making in many of the world's large river basins. Copyright © 2013 John Wiley & Sons, Ltd.

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References
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Journal ArticleDOI

River Network Routing on the NHDPlus Dataset

TL;DR: In this paper, a river network model called Routing Application for Parallel Computation of Discharge (RAPID) is developed for the National Hydrography Dataset Plus (NHDPlus) river network whose lateral inflow to the river network is calculated by a land surface model.
Journal ArticleDOI

Scaling gridded river networks for macroscale hydrology: Development, analysis, and control of error

TL;DR: In this paper, a simple and robust river network scaling algorithm (NSA) is presented to rescale fine-resolution networks to any coarser resolution, and simple scaling relationships are found to predict decreasing river lengths with coarser-resolution data.
Journal ArticleDOI

Reconciling the global terrestrial water budget using satellite remote sensing

TL;DR: In this article, the authors estimate the water budget from satellite remote sensing over ten global river basins for 2003-2006 using several satellite and non-satellite precipitation (P) and evapo-transpiration (ET) products.
Journal ArticleDOI

A geostatistical approach for describing spatial pattern in stream networks

TL;DR: In this paper, a method that uses commercially available software to construct an empirical variogram to describe spatial pattern in the relative abundance of coastal cutthroat trout in headwater stream networks is presented.
Journal ArticleDOI

Modeling the impact of hydrological changes on nitrate transport in the Mississippi River Basin from 1955 to 1994

TL;DR: In this article, two physically based models, the Integrated Biosphere Simulator (IBIS) terrestrial ecosystem model and the Hydrological Routing Algorithm (HYDRA) hydrological transport model, have been adapted to simulate the nitrate export in the Mississippi River system and isolate the role of hydrologogical processes in the observed increase and interannual variability in nitrate exports.
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