Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework

QR Code

Legitimising data-driven models: exemplification of a new data-driven mechanistic modelling framework

In this paper the difficult problem of how to legitimise data-driven hydrological models is addressed using an example of a simple artificial neural network modelling problem. Many data-driven models in hydrology have been criticised for their black-box characteristics, which prohibit adequate under...

Full description

Bibliographic Details
Main Authors:	Mount, Nick J., Dawson, C.W., Abrahart, R.J.
Format:	Article
Published:	European Geosciences Union (EGU) 2013
Online Access:	https://eprints.nottingham.ac.uk/3066/

Similar Items

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

Ideal point error for model assessment in data-driven river flow forecasting
by: Dawson, C.W, et al.
Published: (2012)

The need for operational reasoning in data-driven rating curve prediction of suspended sediment
by: Mount, Nick J., et al.
Published: (2012)

DAMP: a protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling
by: Abrahart, R.J., et al.
Published: (2011)

Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan
by: Meng-Jung, T., et al.
Published: (2014)

DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling
by: Abrahart, Robert J., et al.
Published: (2011)

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

The need for operational reasoning in data-driven rating curve prediction
by: Mount, Nick J., et al.
Published: (2012)

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

Data driven modelling of biomass pyrolysis
by: Sawant, Ruturaj Jayant
Published: (2024)

Improved validation framework and R-package for artificial neural network models
by: Humphrey, Greer B., et al.
Published: (2017)

Temporal meta-data management for model driven applications
by: Davis, Jon, et al.
Published: (2011)

Variant logic meta-data management for model driven applications
by: Davis, Jon, et al.
Published: (2011)

Expert review on big data analytics implementation model in data-driven decision-making
by: Adrian, Cecilia, et al.
Published: (2018)

Robust data-driven model to study dispersion of vapor cloud in offshore facility
by: Shi, J., et al.
Published: (2018)

Data-driven generating operator in SEIRV model for COVID-19 transmission
by: Nadia, ., et al.
Published: (2023)

Synthetic data driven deep learning for plant phenotyping
by: Hartley, Zane K.J.
Published: (2024)

Data-driven fMRI data analysis based on parcellation
by: Ji, Yongnan
Published: (2001)

Data-driven approach for labelling process plant event data
by: Corrêa, D., et al.
Published: (2022)

Using Petri-Net modelling for a data-driven approach to bridge management and safety
by: Yianni, Panayioti C., et al.
Published: (2017)

Data driven estimation of building interior plans
by: Rosser, Julian F., et al.
Published: (2017)

Linked Open Data Driven Game Generation
by: Warren, R., et al.
Published: (2014)

Data-Driven Similarity Measures for Matrimonial Application
by: Chia, Yong Fang
Published: (2020)

Research data sharing: developing a stakeholder-driven model for journal policies
by: Sturges, Paul, et al.
Published: (2014)

Development of digital twin data-driven modelling for gas turbine operation behaviour
by: Mohd Irwan Shah, Balbir Shah, et al.
Published: (2025)

Data driven e-crm model on active online engagement for smes in Malaysia
by: Tang, Adriano Chin Hoong
Published: (2023)

Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
by: Islam, Muhammad Shafiqul, et al.
Published: (2024)

Comparison of data driven models (DDM) for soil moisture retrieval using microwave remote sensing data
by: Hephi, Liauw, et al.
Published: (2015)

Improved PID controller based on piecewise affine function in data driven control framework
by: Mohd Ikhmil Fadzrizan, Mohd Hanif
Published: (2022)

Cybersecurity in Big Data Era: From Securing Big Data to Data-Driven Security
by: Manjunatha, V., et al.
Published: (2024)

Model driven security frameworks for addressing security problems of Service Oriented Architecture
by: Saleem, M. Q., et al.
Published: (2010)

A data-driven learning approach to image registration
by: Mustafa, Mohammad A.R.
Published: (2016)

A data driven approach to mapping urban neighbourhoods
by: Brindley, Paul, et al.
Published: (2014)

Data driven grain profitability through “on-farm experimentation”
by: Easton, Julia, et al.
Published: (2022)

Responsive dissemination: A data driven approach to change
by: Sherry, L., et al.
Published: (2005)

Data-driven impedance matching in multilateral teleoperation systems
by: Mohd Syakirin, Ramli, et al.
Published: (2018)

Neuroemulation: definition and key benefits for water resources research
by: Abrahart, R.J., et al.
Published: (2012)

Data-driven insights into protonic-ceramic fuel cell and electrolysis performance
by: Meisel, C., et al.
Published: (2025)

Non-parametric linearised data driven modelling and force tracking control of a magnetorheological damper
by: K., Hudha, et al.
Published: (2005)

Are the Hasmoneans legitimised as kings in 1 Maccabees?
by: Choi, Dongbin
Published: (2014)