Benchmarking data-driven rainfall-runoff models in Great Britain: a comparison of LSTM-based models with four lumped conceptual models

Benchmarking data-driven rainfall-runoff models in Great Britain: a comparison of LSTM-based models with four lumped conceptual models

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 when data are abundant. Previous studies have demonstrated the applicability of LSTM-based models for rainfall–runoff m...

書誌詳細
主要な著者:	Lees, T, Buechel, M, Anderson, B, Slater, L, Reece, S, Coxon, G, Dadson, SJ
フォーマット:	Journal article
言語:	English
出版事項:	Copernicus Publications 2021

類似資料

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models
著者:: T. Lees, 等
出版事項: (2021-10-01)

Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios
著者:: Buechel, M, 等
出版事項: (2022)

Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios
著者:: Marcus Buechel, 等
出版事項: (2022-01-01)

Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
著者:: M. Buechel, 等
出版事項: (2024-05-01)

Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain
著者:: Buechel, M, 等
出版事項: (2024)

The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater
著者:: C. C. Brauer, 等
出版事項: (2014-10-01)

Knowledge gaps in our perceptual model of Great Britain's hydrology
著者:: Wagener, T, 等
出版事項: (2021)

Comparative evaluation of conceptual and physical rainfall–runoff models
著者:: R. K. Jaiswal, 等
出版事項: (2020-01-01)

TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation
著者:: Zeqiang Chen, 等
出版事項: (2023-08-01)

Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
著者:: F. Kratzert, 等
出版事項: (2018-11-01)

Impact of potential and (scintillometer-based) actual evapotranspiration estimates on the performance of a lumped rainfall–runoff model
著者:: B. Samain, 等
出版事項: (2013-11-01)

Calibration of Conceptual Rainfall-Runoff Models Using Global Optimization
著者:: Chao Zhang, 等
出版事項: (2015-01-01)

Benchmarking Three Event-Based Rainfall-Runoff Routing Models on Australian Catchments
著者:: David Kemp, 等
出版事項: (2023-06-01)

A hybrid rainfall-runoff model: integrating initial loss and LSTM for improved forecasting
著者:: Wei Wang, 等
出版事項: (2023-10-01)

Spring Runoff Simulation of Snow-Dominant Catchment in Steppe Regions: A Comparison Study of Lumped Conceptual Models
著者:: Stanislav Eroshenko, 等
出版事項: (2024-10-01)

Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain
著者:: R. A. Lane, 等
出版事項: (2019-09-01)

Rainfall-Runoff Modelling: The Primer /
著者:: 237654 Beven, Keith
出版事項: (2012)

Rainfall-runoff modelling : the primer /
著者:: Beven, K. J. 373962
出版事項: (2001)

The PDM rainfall-runoff model
出版事項: (2007-01-01)

The Impact of the Variability of Precipitation and Temperatures on the Efficiency of a Conceptual Rainfall-Runoff Model
著者:: Sleziak P., 等
出版事項: (2016-12-01)

How Climate Extremes Influence Conceptual Rainfall-Runoff Model Performance and Uncertainty
著者:: Andrew Watson, 等
出版事項: (2022-06-01)

A simple benchmark for mesothelioma projection for Great Britain
著者:: Nielsen, B, 等
出版事項: (2016)

A Review of Event-Based Conceptual Rainfall-Runoff Models: A Case for Australia
著者:: Sabrina Ali, 等
出版事項: (2024-06-01)

Optimal application of conceptual rainfall–runoff hydrological models in the Jinshajiang River basin, China
著者:: M. Tayyab, 等
出版事項: (2015-05-01)

Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modelling
著者:: Cenk Sezen, 等
出版事項: (2022-09-01)

From runoff to rainfall: inverse rainfall–runoff modelling in a high temporal resolution
著者:: M. Herrnegger, 等
出版事項: (2015-11-01)

Hybrid topmodel for rainfall runoff modeling /
著者:: Ali H. Ahmed Suliman, 1985-, author 325418, 等
出版事項: (2013)

Rainfall-runoff modelling in an uncertain environment /
著者:: 439698 Tokar, Ayse Sezin
出版事項: (1996)

Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
著者:: S. R. Clark, 等
出版事項: (2024-03-01)

LSTM network analysis of vehicle-type fatalities on Great Britain's roads
著者:: Oketunji, A, 等
出版事項: (2023)

Calibrated radar-derived rainfall data for rainfall-runoff modeling.
著者:: Waleed, A. R. M., 等
出版事項: (2009)

Bayesian uncertainty assessment of flood predictions in ungauged urban basins for conceptual rainfall-runoff models
著者:: A. E. Sikorska, 等
出版事項: (2012-04-01)

Runoff Prediction Based on VMD-LSTM-ARMA Model
著者:: LUO Cankun, 等
出版事項: (2023-01-01)

Rainfall-runoff modelling with neuro-fuzzy systems
著者:: Amin Talei
出版事項: (2013)

Rainfall-runoff modelling of Taman Mayang catchment /
著者:: 184295 Muhammad Muneer Anjum
出版事項: (1999)

Rainfall runoff modelling of Taman Mayang catchment /
著者:: 184295 Muhammad Muneer Anjum, 等

Rainfall-runoff modelling in gauged and ungauged catchments /
著者:: 333997 Wagener, Thorsten, 等
出版事項: (2004)

Artificial neural network for modelling rainfall-runoff
著者:: Tayebiyan, Aida, 等
出版事項: (2016)

Rainfall-runoff modeling : past,present and future /
著者:: 442328 Todini, E

Comparison of rainfall-runoff models for urban areas /
著者:: 315559 Sarma, P. B. S., 等