TOPMODEL: a critique

K Beven - Hydrological processes, 1997 - Wiley Online Library
TOPMODEL (a TOPography based hydrological MODEL) is now 20 years old and has been
the subject of numerous applications to a wide variety of catchments. This paper represents …

A history of TOPMODEL

KJ Beven, R Lamb, MJ Kirkby… - Hydrology and Earth …, 2020 - hess.copernicus.org
The theory that forms the basis of Topmodel was first outlined by Mike Kirkby some 45 years
ago. This paper recalls some of the early developments; the rejection of the first journal …

[BOOK][B] Rainfall-runoff modelling: the primer

KJ Beven - 2012 - books.google.com
Rainfall-Runoff Modelling: The Primer, Second Edition is the follow-up of this popular and
authoritative text, first published in 2001. The book provides both a primer for the novice and …

Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

K Beven, J Freer - Journal of hydrology, 2001 - Elsevier
It may be endemic to mechanistic modelling of complex environmental systems that there
are many different model structures and many different parameter sets within a chosen …

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Q Mu, FA Heinsch, M Zhao, SW Running - Remote sensing of Environment, 2007 - Elsevier
The objective of this research is to develop a global remote sensing evapotranspiration (ET)
algorithm based on Cleugh et al.'s [Cleugh, HA, R. Leuning, Q. Mu, SW Running (2007) …

Mathematical modeling of watershed hydrology

VP Singh, DA Woolhiser - Journal of hydrologic engineering, 2002 - ascelibrary.org
Mathematical modeling of watershed hydrology is employed to address a wide spectrum of
environmental and water resources problems. A historical perspective of hydrologic …

Parameterisation, calibration and validation of distributed hydrological models

JC Refsgaard - Journal of hydrology, 1997 - Elsevier
This paper emphasizes the different requirements for calibration and validation of lumped
and distributed models. On the basis of a theoretically founded modelling protocol, the …

Bayesian estimation of uncertainty in runoff prediction and the value of data: An application of the GLUE approach

J Freer, K Beven, B Ambroise - Water resources research, 1996 - Wiley Online Library
This paper addresses the problem of evaluating the predictive uncertainty of TOPMODEL
using the Bayesian Generalised Likelihood Uncertainty Estimation (GLUE) methodology in …

Prediction of flow based on a CNN-LSTM combined deep learning approach

P Li, J Zhang, P Krebs - Water, 2022 - mdpi.com
Although machine learning (ML) techniques are increasingly used in rainfall-runoff models,
most of them are based on one-dimensional datasets. In this study, a rainfall-runoff model …

[HTML][HTML] HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

C Shen, E Laloy, A Elshorbagy, A Albert… - Hydrology and Earth …, 2018 - hess.copernicus.org
Recently, deep learning (DL) has emerged as a revolutionary and versatile tool transforming
industry applications and generating new and improved capabilities for scientific discovery …