About: Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density

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About: Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density Goto Sponge NotDistinct Permalink

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scientific article published on 22 February 2017

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rdf:type	Item
description	наукова стаття, опублікована в лютому 2017 (uk) scientific article published on 22 February 2017 (en) artículu científicu espublizáu en febreru de 2017 (ast)
publication date	wds:Q111109817-095A0666-7697-48DA-B9DC-E4A06AE6A214
publication date	2017-02-22 00:00:00Z (xsd:dateTime)
cites work	wds:Q111109817-01D5945B-2D11-45B3-A4DB-32F006B52176 wds:Q111109817-1AB4539D-950D-4B43-8C0F-A54C7E7EA0E1 wds:Q111109817-32005F9B-1C72-44D8-8FCF-23609A24048C wds:Q111109817-3618E718-B309-4DC3-93CB-69989F3811B4 wds:Q111109817-3A0A3C13-BD07-43F0-93C7-19CB282DF354 wds:Q111109817-418949BA-A78C-4CC0-B150-D4BC2DCECCD9 wds:Q111109817-4467BB49-A9A2-485A-9BCD-FF12F7619CE4 wds:Q111109817-8614D250-E425-4095-9A8E-048CA31E7CCF wds:Q111109817-9473C45C-0694-4CC0-83FE-79D9BD33C7B8 wds:Q111109817-95106ABE-CCE7-4D99-A9E9-CA5052F1C32C wds:Q111109817-976B1CDA-BFAB-404C-B5B5-18A3AA75206F wds:Q111109817-A4B6F31A-F4DC-400C-AB18-AC11C0A1708B wds:Q111109817-AD8FADCE-7BD8-46C0-9803-BA21EBAA8FD4 wds:Q111109817-AEFE5F02-17B7-4000-B9FF-F9E7EBAD8AAC wds:Q111109817-C3713F86-19CE-471E-90D2-809E73BF21F5 wds:Q111109817-D228334B-8726-401B-868F-7AA5098017D2 wds:Q111109817-F5827D49-6730-403F-8B11-419783B162CE wds:Q111109817-FA798C9C-840D-4A24-B9D9-DC5B4D1A53E5
cites work	Development and validation of a global database of lakes, reservoirs and wetlands Erosional development of streams and their drainage basins; Hydrophysical Approach to Quantitative Morphology Quantitative analysis of watershed geomorphology Validation of a new global 30-min drainage direction map The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water Global carbon dioxide emissions from inland waters Aqua Incognita: the unknown headwaters Deriving drainage networks and catchment boundaries: a new methodology combining digital elevation data and environmental characteristics Five-minute, 1/2°, and 1° data sets of continental watersheds and river networks for use in regional and global hydrologic and climate system modeling studies On the extraction of channel networks from digital elevation data A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3 Global river hydrography and network routing: baseline data and new approaches to study the world's large river systems Spatial association between dissection density and environmental factors over the entire conterminous United States New Global Hydrography Derived From Spaceborne Elevation Data Deriving river networks and catchments at the European scale from medium resolution digital elevation data Geology of the conterminous United States at 1:2,500,000 scale; a digital representation of the 1974 P.B. King and H.M. Beikman map Controls of climate, topography, vegetation, and lithology on drainage density extracted from high resolution topography data
author name string	wds:Q111109817-762F0336-545F-4A61-BCC7-C7F5D9CE50AD wds:Q111109817-8FC56FBA-2D5B-4D7E-A75D-0D0108975592 wds:Q111109817-EECDFBA0-47E5-4672-B099-6C56CD57E28D wds:Q111109817-FF45CAB3-2719-4F69-91A5-03CFC356B1FA
author name string	A. Schneider A. Jost C. Coulon S. Théry
rdfs:label	Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density (en)
skos:prefLabel	Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density (en)
name	Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density (en)
author	wds:Q111109817-24863766-5C53-4626-B199-38C5D324B9C3 wds:Q111109817-59835528-5BF7-4D8F-877E-AAF7CD1386F7
author	Agnès Ducharne Marie Silvestre
title	wds:Q111109817-4EA048E5-3D32-4841-B5BB-F806669923A9
title	Global-scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density (en)
page(s)	wds:Q111109817-5A6A90DC-B82B-4489-8AB9-FA363A5B093B
page(s)	2773-2781
instance of	wds:Q111109817-7A76B232-A579-48B3-A38A-B142E8AACD1E
instance of	scholarly article
main subject	wds:Q111109817-6021DE7E-C0B4-4974-B00A-25F72DFA11FF wds:Q111109817-BF2CA970-7666-4B1C-B0B9-31471C9CEC4D
main subject	river network global scale
published in	wds:Q111109817-207B042D-75D1-4B5A-8776-2888D3378A86
published in	Geophysical Research Letters
issue	wds:Q111109817-570950DC-3BDA-4BBB-B4A7-1DD9AD5D14F5
volume	wds:Q111109817-BFB5D48D-86A1-494A-B552-CE87C014C1F6
issue	6
volume	44
number of pages	wds:Q111109817-A2AFDACC-17E8-4BC9-919A-A384C40E5DC2
number of pages	9 (xsd:decimal)
DOI	wds:Q111109817-FBC99A93-EB3C-4403-85EB-3C3AC7DD243E
DOI	http://dx.doi.org/10.1002/2016GL071844
DOI	10.1002/2016GL071844
ADS bibcode	wds:Q111109817-1C7A8A1C-F688-4231-B7F5-9EC1B6BEA56C
ADS bibcode	2017GeoRL..44.2773S
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q111109817
is cites work of	Emissions from dry inland waters are a blind spot in the global carbon cycle GFPLAIN250m, a global high-resolution dataset of Earth's floodplains Impacts of current and future large dams on the geographic range connectivity of freshwater fish worldwide Quantifying spatiotemporal variation in headwater stream length using flow intermittency sensors Deathbed choice by ASF-infected wild boar can help find carcasses Spatial Patterns and Drivers of Nonperennial Flow Regimes in the Contiguous United States Global prevalence of non-perennial rivers and streams Global resource potential of seasonal pumped hydropower storage for energy and water storage
is cites work of	wds:Q60908396-08CA8FCE-AF50-4F13-9797-2A50DEE8C058 wds:Q61949365-81B2B418-E58C-41E2-9502-0F4F6C15BF7A wds:Q92466459-063F948B-8C8A-405F-8655-E5F6268C398A wds:Q108047423-808267DE-88F1-49BA-8B31-3ED9D73D06AC wds:Q110281867-FD83C3E1-2F8E-4A6E-84C9-6F7F4EEBBA31 wds:Q89517736-D347B15C-E06D-49E6-A327-A335E1A28AC6 wds:Q92650815-B2DEB520-0FFB-4D18-900A-64C66D2E563D wds:Q89790839-1B53A446-C007-4658-B6D4-D6FA041C60C8

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