Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models

QR Code

Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models

This study presents a novel application of machine learning to deliver optimised, multi-model combinations (MMCs) of Global Hydrological Model (GHM) simulations. We exemplify the approach using runoff simulations from five GHMs across 40 large global catchments. The benchmarked, median performance g...

Full description

Bibliographic Details
Main Authors:	Zaherpour, Jamal, Mount, Nick J., Gosling, Simon N., Dankers, Rutger, Eisner, Stephanie, Dieter, Gerten, Liu, Xingcai, Masaki, Yoshimitsu, Müller Schmied, Hannes, Tang, Qiuhong, Wada, Yoshihide
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	Machine Learning; Model Weighting; Gene Expression Programming; Global Hydrological Models; Optimization
Online Access:	https://eprints.nottingham.ac.uk/55925/

Similar Items

Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts
by: Zaherpour, Jamal, et al.
Published: (2018)

Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations
by: Liu, Xingcai, et al.
Published: (2017)

Improving global and catchment estimates of runoff through computationally-intelligent ensemble approaches Applications of intelligent multi-model combination, cross-scale model comparisons, ensemble analyses, and new model parameterisations
by: Zaherpour, Jamal
Published: (2018)

Application of Swat Hydrological Model with GIS Interface to Upper Bernam River Basin
by: Lai, Sai Hin
Published: (2001)

The critical role of the routing scheme in simulating peak river discharge in global hydrological models
by: Zhao, Fang, et al.
Published: (2017)

Application of HuTVeC Hydrological Model to Two Malaysian Watersheds
by: Choong, Wee Kang
Published: (2000)

Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan
by: Mount, Nick J., et al.
Published: (2016)

Climate-smart agro-hydrological model for the assessment of future adaptive water allocation for Tanjong Karang rice irrigation scheme
by: Ismail, Habibu
Published: (2020)

Comparing Hydrology and Hydraulics Surface Routing Approaches in Modeling an Urban Catchment
by: Basnayaka, Amila, et al.
Published: (2011)

Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
by: Al_Fugara, A’kif Mohammed Salem
Published: (2008)

Investigating uncertainty in global hydrology modelling
by: Smith, Katie A.
Published: (2016)

Human impact parameterizations in global hydrological models improves estimates of monthly discharges and hydrological extremes: a multi-model validation study
by: Veldkamp, Ted Isis Elize, et al.
Published: (2018)

Sources of uncertainty in hydrological climate impact assessment: a cross-scale study
by: Hattermann, Fred, et al.
Published: (2018)

A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
by: Nabi, Amjad
Published: (1998)

Assessment of hydrologic impact of climate change on Ord River catchment of Western Australia for water resources planning: A multi-model ensemble approach
by: Islam, Syed, et al.
Published: (2011)

Ugandan crater lakes: inferring hydrological change using stable isotopes
by: Hunt, Laura Hazel
Published: (2023)

Time series modeling of water level at Sulaiman Station, Klang River, Malaysia
by: Galavi, Hadi
Published: (2010)

Intercomparison of global river discharge simulations focusing on dam operation --- Part II: Multiple models analysis in two case-study river basins, Missouri-Mississippi and Green-Colorado
by: Masaki, Yoshimitsu, et al.
Published: (2017)

Flood Modelling of the Dez River Basin, Iran, Using the Watershed Modeling System Software
by: Sadrolashrafi, Seyedeh Sara
Published: (2008)

Modelling of chaotic hydrological time series / Ismail Atan and Aminuddin Mohd Baki
by: Atan, Ismail, et al.
Published: (2009)

A comparison of changes in river runoff from multiple global and catchment-scale hydrological models under global warming scenarios of 1°C, 2°C and 3°C
by: Gosling, Simon, et al.
Published: (2016)

Hydrological trend analysis due to land use changes at Langat River Basin.
by: Juahir, Hafizan, et al.
Published: (2010)

Sensitivity Analysis of Catchment Characteristics in Urban Stormwater Management Modeling
by: Basnayaka, Amila, et al.
Published: (2012)

Numerical Modeling of Flood Vulnerability in Urban Catchments for Flood Forecasting
by: Basnayaka, Amila, et al.
Published: (2011)

Scale factor and digital elevation analysis for hydrological studies
by: Ramli, Mohammad Firuz, et al.
Published: (2007)

Investigating the factors influencing the transition from meteorological to hydrological droughts
by: Kumar, Amit
Published: (2024)

Uncertainty analysis of Langat river flow projections using impact-based multi-model ensemble approaches
by: Galavi, Hadi
Published: (2015)

A quantitative risk assessment of waterborne infectious disease in the inundation area of a tropical monsoon region
by: Kazama, S., et al.
Published: (2012)

Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
by: Noordin Ahmad, Azmaya
Published: (2018)

Modeling hydrologic response due to the impact of land use changes in the Upper Bernam River basin using machine learning
by: Al-Heattar, Najeeb Mohammed Nagee
Published: (2019)

Impact of land use changes to hydrological regime in Nerus Cathment, Terengganu, Malaysia
by: Mat Nazir, Mohd Hafifi
Published: (2016)

Utilization of artificial aquifer physical model to aid technical learning of groundwater hydrology
by: Sulaiman, Shazelia Ashikin
Published: (2015)

Hydrological responses to climate and land use change in upper Langat Basin, Peninsular Malaysia
by: Ebrahimian, Mahboubeh
Published: (2016)

Optimized flood inundation mapping using integrated gis and hydraulic model for ungauged river basin
by: Mokhtar, Ernieza Suhana
Published: (2018)

Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework
by: Mount, Nick J., et al.
Published: (2013)

On the suitability of the 4° × 4° GRACE mascon solutions for remote sensing Australian hydrology
by: Awange, Joseph, et al.
Published: (2010)

Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins
by: Hattermann, Fred, et al.
Published: (2017)

Differentiating conceptual modelling from data modelling, knowledge modelling and ontology modelling and a notation for ontology modelling
by: Dillon, Tharam S., et al.
Published: (2008)

Sensitivity analysis for comparison, validation and physical-legitimacy of neural network-based hydrological models
by: Dawson, C.W., et al.
Published: (2014)

Climate change and its impacts on hydrological regime of the Langat River Basin
by: Amirabadizadeh, Mahdi
Published: (2015)