CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Toward improved prediction of the bedrock depth underneath hillslopes: Bayesian inference of the bottom-up control hypothesis using high-resolution topographic data
Authors
Akaike
Anderson
+104 more
Askarinejad
Athapaththu
Bear
Bellugi
Bertoldi
Boer
Bohidar
Borja
Catani
Christensen
Chung
Clair
Dahlke
Davis
DeRose
Dietrich
Ebel
Eguchi
Eurípedes A. Vargas
Feininger
Fernandes
Fernandes
Freer
Fu
Fujimoto
Gelman
Gomes
Gomes
Goovaerts
Guilherme J. C. Gomes
Guimarães
Gupta
He
Heimsath
Ho
Hopp
Hurst
Jafarpour
Jasper A. Vrugt
Jenny
Keating
Kim
Kosugi
Kosugi
Kuriakose
Laloy
Laloy
Lanni
Lanni
Lebedeva
Liang
Linde
Liu
Lochbühler
Lochbühler
Lucà
Masaoka
Metropolis
Mey
Milledge
Mukhlisin
Odeh
Odeh
Ohnuki
Oware
Pelletier
Pelletier
Perron
Rempe
Reu
Roering
Roering
Roering
Ruddock
Ruxton
Saco
Sadegh
Sarkar
Saulnier
Scharnagl
Shafique
Sitharam
Stewart
Tarolli
Tesfa
Thomas
Troch
Tromp-van Meerveld
Tromp-van Meerveld
Tsuchida
Tye
Vargas
Vieira
Vrugt
Vrugt
Vrugt
Vrugt
Wiegand
Wilford
Yang
Zhou
Zhou
Ziadat
Ziadat
Publication date
Publisher
'Wiley'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1002%2F2015wr01814...
Last time updated on 01/04/2019