A review and evaluation of catchment transit time modeling
KJ McGuire, JJ McDonnell - Journal of Hydrology, 2006 - Elsevier
Transit time is a fundamental catchment descriptor that reveals information about storage,
flow pathways and source of water in a single characteristic. Given the importance of transit …
flow pathways and source of water in a single characteristic. Given the importance of transit …
Advances in real–time flood forecasting
PC Young - … Transactions of the Royal Society of London …, 2002 - royalsocietypublishing.org
This paper discusses the modelling of rainfall–flow (rainfall–run–off) and flow–routeing
processes in river systems within the context of real–time flood forecasting. It is argued that …
processes in river systems within the context of real–time flood forecasting. It is argued that …
Rainfall–runoff modelling using long short-term memory (LSTM) networks
Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various
approaches exist, ranging from physically based over conceptual to fully data-driven …
approaches exist, ranging from physically based over conceptual to fully data-driven …
[HTML][HTML] Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual …
Long short-term memory (LSTM) models are recurrent neural networks from the field of deep
learning (DL) which have shown promise for time series modelling, especially in conditions …
learning (DL) which have shown promise for time series modelling, especially in conditions …
Hydrological concept formation inside long short-term memory (LSTM) networks
Neural networks have been shown to be extremely effective rainfall-runoff models, where
the river discharge is predicted from meteorological inputs. However, the question remains …
the river discharge is predicted from meteorological inputs. However, the question remains …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
G Zuo, J Luo, N Wang, Y Lian, X He - Journal of Hydrology, 2020 - Elsevier
Reliable and accurate streamflow forecasting is vital for water resource management. Many
streamflow prediction studies have demonstrated the excellent prediction ability of …
streamflow prediction studies have demonstrated the excellent prediction ability of …
[图书][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 …
authoritative text, first published in 2001. The book provides both a primer for the novice and …
[图书][B] Nonlinear time series: nonparametric and parametric methods
Amongmanyexcitingdevelopmentsinstatistic…, nonlineartimeseriesanddata-
analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In …
analyticnonparametricmethodshavegreatly advanced along seemingly unrelated paths. In …
[图书][B] Recursive estimation and time-series analysis: An introduction for the student and practitioner
PC Young - 2011 - books.google.com
This is a revised version of the 1984 book of the same name but considerably modified and
enlarged to accommodate the developments in recursive estimation and time series …
enlarged to accommodate the developments in recursive estimation and time series …