2017
DOI: 10.1002/2016gl071844
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Global‐scale river network extraction based on high‐resolution topography and constrained by lithology, climate, slope, and observed drainage density

Abstract: To improve the representation of surface and groundwater flows, global land surface models rely heavily on high‐resolution digital elevation models (DEMs). River pixels are routinely defined as pixels with drainage areas that are greater than a critical drainage area (Acr). This parameter is usually uniform across the globe, and the dependence of drainage density on many environmental factors is often overlooked. Using the 15″ HydroSHEDS DEM as an example, we propose the calibration of a spatially variable Acr… Show more

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Cited by 75 publications
(64 citation statements)
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“…Data Discuss., https://doi.org /10.5194/essd-2018-87 Surface water bodies and wetlands are often hydrologically connected, and the transition between them is not sharp and varies seasonally. Moreover, these features are difficult to separate based on observations (either in situ or remote), and no dedicated exhaustive dataset is currently available (Raymond et al 2013;Schneider et al, 2017). Inclusion of the shallow surface water bodies (in the RFW map) is compatible with the Ramsar classification, but we depart from this approach with respect to large permanent lakes, which are excluded from all input datasets to RFW and GDW maps (Sect.…”
Section: Wetland Definition and General Mapping Strategymentioning
confidence: 99%
See 1 more Smart Citation
“…Data Discuss., https://doi.org /10.5194/essd-2018-87 Surface water bodies and wetlands are often hydrologically connected, and the transition between them is not sharp and varies seasonally. Moreover, these features are difficult to separate based on observations (either in situ or remote), and no dedicated exhaustive dataset is currently available (Raymond et al 2013;Schneider et al, 2017). Inclusion of the shallow surface water bodies (in the RFW map) is compatible with the Ramsar classification, but we depart from this approach with respect to large permanent lakes, which are excluded from all input datasets to RFW and GDW maps (Sect.…”
Section: Wetland Definition and General Mapping Strategymentioning
confidence: 99%
“…Since the underlying principles and input datasets are globally valid, this classification is believed to be highly useful for land surface hydrological modelling. In particular, we intend to use this process in the ORCHIDEE land surface model (Krinner et al, 2005;Ducharne et al, 2017) to describe the areas where GW convergence from the uplands to the lowlands can lead to high soil moisture, with a potential to enhance the local evapotranspiration and related land-atmosphere 20 feedback (e.g., Bierkens and van den Hurk, 2007;Maxwell et al, 2007;Vergnes et al, 2014;Wang et al, 2018).…”
Section: Conclusion and Perspectives 35mentioning
confidence: 99%
“…The resolution is decreased to 15″, assuming the centre point, to reduce modelling time and to combine with the river network data. The river network data assumed the Strahler methodology in Global-scale river network (GRIN) 31 , which is derived from the SRTM data and has 15″ resolution. The topographic and river Strahler data are then combined with the hydrological data taken from the PCR-GLOBWB 32 global hydrological model, which are derived into annual discharge, seasonal, and inter-annual variations.…”
Section: Methodsmentioning
confidence: 99%
“…Initially, the topographic data are combined with the river Strahler data, which is a numerical measure of its branching complexity and was derived from the same topographic data. The higher the Strahler stream order value the more tributary rivers (branches) deliver water to the given part of the river 31 . The two are compared at the same resolution to identify rivers within the topographic data and to estimate the length of the tunnels connecting the upper reservoir and the lower reservoir in the river.…”
Section: Methodsmentioning
confidence: 99%
“…Around 30% of the global river network length is intermittent (Pekel, Cottam, Gorelick, & Belward, ; Schneider et al, ), and is also in need of eflows implementation. Intermittency is considered as an extreme flow event in the natural flow regime framework (Poff et al, ), and it is a key determinant of biodiversity and ecosystem function in temporary waterways (Acuña, Hunter, & Ruhí, ; Leigh & Datry, ).…”
Section: Introductionmentioning
confidence: 99%