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Accurate and scalable hydrologic models are essential building blocks of several important applications, from water resource management to timely flood warnings.
River flow forecasting through conceptual models part i—a discussion of principles
J Eamonn Nash and Jonh V Sutcliffe · 1970
Earlier work this paper cites.
A generalized streamflow simulation system: Conceptual modeling for digital computers
Robert JC Burnash, R Larry Ferral, and Robert A McGuire · 1973
Earlier work this paper cites.
The global satellite mapping of precipitation (gsmap) project
Tomoo Ushio, Ken’ichi Okamoto, Toshio Iguchi, Nobuhiro Takahashi, Koyuru Iwanami, Kazumasa Aonashi, Shoichi Shige, Hiroshi Hashizume, Takuji Kubota, and Toshiro Inoue · 2003
Earlier work this paper cites.
New global hydrography derived from spaceborne elevation data
Bernhard Lehner, Kristine Verdin, and Andy Jarvis · 2008
Cited alongside, same era.
Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems
Bernhard Lehner and Günther Grill · 2013
Cited alongside, same era.
Rainfall–runoff modelling using long short-term memory (lstm) networks
Frederik Kratzert, Daniel Klotz, Claire Brenner, Karsten Schulz, and Mathew Herrnegger · 2018
Cited alongside, same era.
Towards real-time continental scale streamflow simulation in continuous and discrete space
Fernando R Salas, Marcelo A Somos-Valenzuela, Aubrey Dugger, David R Maidment, David J Gochis, Cédric H David, Wei Yu, Deng Ding, Edward P Clark, and Nawajish Noman · 2018
Later among the works it cites.
Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets
Frederik Kratzert, Daniel Klotz, Guy Shalev, Günter Klambauer, Sepp Hochreiter, and G Nearing · 2019
Later among the works it cites.
Accurate hydrologic modeling using less information
Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, and Sella Nevo · 2019
Later among the works it cites.
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