Research graph
References from Predictive uncertainty assessment in rainfall runoff modelling using Monte Carlo based sensitivity analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
Soil and water conservation in India: strategies and research challenges
10.5958/2455-7145.2017.00046.7 · 2017 · External reference
Simulation of rainfall -runoff process using HEC-HMS
2015 · External reference
Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modelling
2025 · External reference
Rainfall–runoff modelling using long short-term memory (LSTM) networks
10.5194/hess-22-6005-2018 · 2018 · External reference
Parameter estimation and uncertainty quantification of rainfall-runoff models using data assimilation methods based on deep learning and local ensemble updates
10.1016/j.envsoft.2025.106332 · 2025 · External reference
Assessment of parameter uncertainty in hydrological model using a Markov-Chain-Monte-Carlo-based multilevel-factorial-analysis method
10.1016/j.jhydrol.2016.04.044 · 2016 · External reference
Automatic regionalization of model parameters for hydrological models
10.1029/2022wr031966 · 2022 · External reference
10.12912/27197050/175753
10.12912/27197050/175753 · External reference
The future of distributed models: model calibration and uncertainty prediction
10.1002/hyp.3360060305 · 1992 · External reference
The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors
10.1007/s00477-013-0767-1 · 2014 · External reference
Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
10.1080/23311916.2024.2360007 · 2024 · External reference
Monte-Carlo methods to assess the uncertainty related to the use of predictive multimetric indices
10.1016/j.ecolind.2018.08.051 · 2019 · External reference
Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network
10.1080/02626667.2019.1610565 · 2019 · External reference
Parameter optimization, uncertainty estimation and sensitivity analysis in hydrological modelling
10.24018/ejers.2018.3.11.907 · 2018 · External reference
Application of machine learning techniques with empirical wavelet transform and variational mode decomposition for sediment concentration estimation
10.1016/j.pce.2025.104136 · 2025 · External reference
Applying machine learning to understand rainfall–runoff interactions in the Tigris River Basin of Turkey
10.1007/s00024-025-03749-4 · 2025 · External reference
The future of distributed models: model calibration and uncertainty prediction
10.1002/hyp.3360060305 · ExternalCitation · doi-reference
Applying machine learning to understand rainfall–runoff interactions in the Tigris River Basin of Turkey
10.1007/s00024-025-03749-4 · ExternalCitation · doi-reference
The comparison of sensitivity analysis of hydrological uncertainty estimates by GLUE and Bayesian method under the impact of precipitation errors
10.1007/s00477-013-0767-1 · ExternalCitation · doi-reference
Monte-Carlo methods to assess the uncertainty related to the use of predictive multimetric indices
10.1016/j.ecolind.2018.08.051 · ExternalCitation · doi-reference
Parameter estimation and uncertainty quantification of rainfall-runoff models using data assimilation methods based on deep learning and local ensemble updates
10.1016/j.envsoft.2025.106332 · ExternalCitation · doi-reference
Assessment of parameter uncertainty in hydrological model using a Markov-Chain-Monte-Carlo-based multilevel-factorial-analysis method
10.1016/j.jhydrol.2016.04.044 · ExternalCitation · doi-reference
Application of machine learning techniques with empirical wavelet transform and variational mode decomposition for sediment concentration estimation
10.1016/j.pce.2025.104136 · ExternalCitation · doi-reference
Automatic regionalization of model parameters for hydrological models
10.1029/2022wr031966 · ExternalCitation · doi-reference
Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network
10.1080/02626667.2019.1610565 · ExternalCitation · doi-reference
Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
10.1080/23311916.2024.2360007 · ExternalCitation · doi-reference
10.12912/27197050/175753
10.12912/27197050/175753 · ExternalCitation · doi-reference
Parameter optimization, uncertainty estimation and sensitivity analysis in hydrological modelling
10.24018/ejers.2018.3.11.907 · ExternalCitation · doi-reference
Rainfall–runoff modelling using long short-term memory (LSTM) networks
10.5194/hess-22-6005-2018 · ExternalCitation · doi-reference
Soil and water conservation in India: strategies and research challenges
10.5958/2455-7145.2017.00046.7 · ExternalCitation · doi-reference
