Dimitri P. Solomatine
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Engineering
Dimitri P. Solomatine's Degrees
- PhD Hydroinformatics Delft University of Technology
- Masters Civil Engineering Delft University of Technology
- Bachelors Civil Engineering Delft University of Technology
Why Is Dimitri P. Solomatine Influential?
(Suggest an Edit or Addition)Dimitri P. Solomatine's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Model Induction with Support Vector Machines: Introduction and Applications (2001) (514)
- Data-driven modelling: some past experiences and new approaches (2008) (505)
- Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014) (493)
- Model trees as an alternative to neural networks in rainfall—runoff modelling (2003) (370)
- Machine learning approaches for estimation of prediction interval for the model output (2006) (309)
- Neural networks and M5 model trees in modelling water level-discharge relationship (2005) (289)
- M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China (2004) (281)
- Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting (2012) (261)
- AdaBoost.RT: a boosting algorithm for regression problems (2004) (208)
- A framework for uncertainty analysis in flood risk management decisions (2008) (203)
- A novel method to estimate model uncertainty using machine learning techniques (2009) (195)
- Data-Driven Modelling: Concepts, Approaches and Experiences (2009) (195)
- Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression (2006) (188)
- Machine Learning Approach to Modeling Sediment Transport (2007) (184)
- Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology (2009) (183)
- River flow forecasting using artificial neural networks (2001) (181)
- Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application (2009) (142)
- River cross-section extraction from the ASTER global DEM for flood modeling (2012) (131)
- A review of low‐cost space‐borne data for flood modelling: topography, flood extent and water level (2015) (115)
- A novel approach to parameter uncertainty analysis of hydrological models using neural networks (2009) (108)
- Citizen observations contributing to flood modelling: opportunities and challenges (2017) (107)
- Future hydrology and climate in the River Nile basin: a review (2011) (101)
- On the encapsulation of numerical-hydraulic models in artificial neural network (1999) (97)
- Learning from data for wind–wave forecasting (2008) (97)
- Machine learning in soil classification (2005) (93)
- Comparison of the Performance of Six Drought Indices in Characterizing Historical Drought for the Upper Blue Nile Basin, Ethiopia (2018) (92)
- Automatic calibration of groundwater models using global optimization techniques (1999) (87)
- Application of global optimization to the design of pipe networks (2000) (84)
- Groundwater Remediation Strategy Using Global Optimization Algorithms (2002) (79)
- Assessing the impact of different sources of topographic data on 1-D hydraulic modelling of floods (2014) (77)
- Baseflow separation techniques for modular artificial neural network modelling in flow forecasting (2007) (77)
- Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia (2015) (76)
- Instance‐based learning compared to other data‐driven methods in hydrological forecasting (2008) (75)
- Multiobjective Optimization of Operational Responses for Contaminant Flushing in Water Distribution Networks (2010) (73)
- Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan (2016) (73)
- Computational intelligence in earth sciences and environmental applications: Issues and challenges (2006) (72)
- Data‐driven approaches for estimating uncertainty in rainfall‐runoff modelling (2008) (72)
- Application of artificial neural network in stage-discharge relationship (2000) (70)
- A study of the climate change impacts on fluvial flood propagation in the Vietnamese Mekong Delta (2012) (70)
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions (2018) (70)
- Two Strategies of Adaptive Cluster Covering with Descent and Their Comparison to Other Algorithms (1999) (69)
- A review of seawater intrusion in the Nile Delta groundwater system – the basis for assessing impacts due to climate changes and water resources development (2013) (67)
- Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework (2016) (66)
- Neural networks and reinforcement learning in control of water systems (2003) (65)
- Development of a web application for water resources based on open source software (2014) (62)
- Can assimilation of crowdsourced data in hydrological modelling improve flood prediction (2017) (61)
- Estimation of predictive hydrologic uncertainty using the quantile regression and UNEEC methods and their comparison on contrasting catchments (2014) (59)
- Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea (2010) (58)
- Data-driven modelling in the context of sediment transport (2005) (57)
- Soft combination of local models in a multi-objective framework (2007) (57)
- Machine learning in sedimentation modelling (2006) (57)
- Modular learning models in forecasting natural phenomena (2006) (56)
- Genetic and other global optimization algorithms - comparison and use in calibration problems (1998) (55)
- Exploring the potential of SRTM topographic data for flood inundation modelling under uncertainty (2013) (54)
- Neural Network Approximation of a Hydrodynamic Model in Optimizing Reservoir Operation (2006) (51)
- Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning (2020) (50)
- Cloud and cluster computing in uncertainty analysis of integrated flood models (2013) (49)
- Alternative configurations of quantile regression for estimating predictive uncertainty in water level forecasts for the upper Severn River: A comparison (2014) (48)
- Combining semi-distributed process-based and data-driven models in flow simulation: A case study of the Meuse river basin (2009) (47)
- Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting (2007) (47)
- FLEXIBLE AND OPTIMAL M5 MODEL TREES WITH APPLICATIONS TO FLOW PREDICTIONS (2004) (47)
- Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river (2003) (44)
- Applications of Data-Driven Modelling and Machine Learning in Control of Water Resources (2003) (43)
- A comprehensive review on the design and optimization of surface water quality monitoring networks (2020) (43)
- Assimilating uncertain, dynamic and intermittent streamflow observations in hydrological models (2015) (40)
- Multiobjective Evolutionary Approach to Rehabilitation of Urban Drainage Systems (2010) (39)
- An approach to characterise spatio-temporal drought dynamics (2020) (38)
- Data‐Driven Modeling and Computational Intelligence Methods in Hydrology (2006) (37)
- Hydroinformatics: computational intelligence and technological developments in water science applications—Editorial (2007) (35)
- Pump Scheduling for a Large Water Distribution Network. Milan, Italy☆ (2017) (35)
- Meteorological Drought Forecasting Based on Climate Signals Using Artificial Neural Network – A Case Study in Khanhhoa Province Vietnam (2016) (35)
- Evaluating the Benefits of Merging Near-Real-Time Satellite Precipitation Products: A Case Study in the Kinu Basin Region, Japan (2019) (33)
- Support Vector Machines: Review and Applications in Civil Engineering (2000) (32)
- Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system (2017) (30)
- Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland (2018) (29)
- Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting. (2017) (29)
- Predictive Data Mining : Practical Examples (2000) (29)
- Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia (2018) (28)
- Exploring the influence of citizen involvement on the assimilation of crowdsourced observations : A modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy) (2018) (28)
- Machine learning in real-time control of water systems (2002) (25)
- Dynamic least-cost optimisation of wastewater system remedial works requirements. (2006) (25)
- Practical Experience of Sensitivity Analysis: Comparing Six Methods, on Three Hydrological Models, with Three Performance Criteria (2019) (24)
- Practical hydroinformatics : computational intelligence and technological developments in water applications (2008) (23)
- INNOVATIVE APPROACHES TO FLOOD FORECASTING USING DATA DRIVEN AND HYBRID MODELLING (2004) (22)
- Wave height prediction at the Caspian Sea using a data-driven model and ensemble-based data assimilation methods (2009) (21)
- Flood modelling : Parameterisation and inflow uncertainty (2014) (21)
- Control of water levels in polder areas using neural networks and fuzzy adaptive systems (1999) (21)
- A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA (2019) (20)
- Monthly water balance modeling: Probabilistic, possibilistic and hybrid methods for model combination and ensemble simulation (2014) (20)
- Testing different cross-section spacing in 1D hydraulic modelling: a case study on Johor River, Malaysia (2015) (19)
- Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods (2018) (18)
- PRO O F CO PY [ HE / 2002 / 022579 ] 001406 Q HE M 5 Model Trees and Neural Networks : Application to Flood Forecasting in the Upper Reach of the Huai River in China (2004) (17)
- Characterisation of the dynamics of past droughts. (2019) (16)
- Development and evaluation of flood forecasting models for forecast-based financing using a novel model suitability matrix (2020) (16)
- Assimilating flow and level data into an urban drainage surrogate model for forecasting flows and overflows. (2019) (16)
- Groundwater Model Approximation with Artificial Neural Network for Selecting Optimum Pumping Strategy for Plume Removal (2001) (16)
- A DATA MINING APPROACH TO MODELLING SEDIMENT TRANSPORT (2004) (16)
- Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network (2019) (16)
- Fuzzy committees of specialized rainfall-runoff models: Further enhancements and tests (2013) (15)
- Non-linear wave data assimilation with an ANN-type wind-wave model and Ensemble Kalman Filter (EnKF) (2010) (15)
- Distributed environmental impact assessment using Internet (1999) (14)
- Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed (2018) (14)
- Testing new sources of topographic data for flood propagation modelling under structural, parameter and observation uncertainty (2016) (14)
- Object orientation in hydraulic modeling architectures (1996) (14)
- Web Based Access to Water Related Data Using OGC WaterML 2.0 (2013) (14)
- Influence of spatial distribution of sensors and observation accuracy on the assimilation of distributed streamflow data in hydrological modelling (2016) (14)
- A Stratified Sampling Approach for Improved Sampling from a Calibrated Ensemble Forecast Distribution (2016) (14)
- Neural networks in sedimentation modelling for the approach channel of the port area of Rotterdam (2007) (13)
- WEB-BASED FLOOD INFORMATION SYSTEM: CASE STUDY OF SOMESUL MARE, ROMANIA (2013) (13)
- Application of Data Mining Techniques for Remote Sensing Image Analysis (2000) (13)
- Technology, characterization, and applications of adaptive mirrors fabricated with IC-compatible micromachining (1995) (13)
- Encapsulation of parametric uncertainty statistics by various predictive machine learning models: MLUE method (2014) (12)
- Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning (2021) (12)
- Random search methods in model calibration and pipe network design (1999) (12)
- Uncertainty assessment of monthly water balance models based on Incremental Modified Fuzzy Extension Principle method (2013) (12)
- An Algorithm for Clustering and Classification of Series Data with Constraint of Contiguity (2003) (11)
- 2.16 – Hydrological Modeling (2011) (11)
- Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands (2020) (11)
- Spatiotemporal Drought Analysis at Country Scale Through the Application of the STAND Toolbox (2019) (10)
- Optimal modularization of learning models in forecasting environmental variables (2006) (10)
- Spatio-temporal Analysis of Hydrological Drought at Catchment Scale Using a Spatially-distributed Hydrological Model☆ (2016) (10)
- Improving flood forecasting using an input correction method in urban models in poorly gauged areas (2020) (10)
- ANN-based representation of parametric and residual uncertainty of models (2010) (9)
- Robust optimization of valve management to improve water quality in WDNs under demand uncertainty (2018) (9)
- Decomposing satellite-based rainfall errors in flood estimation: Hydrological responses using a spatiotemporal object-based verification method (2020) (9)
- A Novel Nested Dynamic Programming (nDP) Algorithm For Multipurpose Reservoir Optimization (2015) (9)
- Spatio-temporal critical source area patterns of runoff pollution from agricultural practices in the Colombian Andes (2020) (9)
- Can assimilation of crowdsourced streamflow observations in hydrological modelling improve flood prediction (2015) (9)
- Education and training in hydroinformatics (1994) (8)
- Neural networks and fuzzy systems in model based control of the Overwaard polder (2005) (8)
- Eager and Lazy Learning Methods in the Context of Hydrologic Forecasting (2006) (8)
- Semi-optimal hierarchical regression models and ANNs (2004) (8)
- Spatio-temporal prediction of suspended sediment concentration in the coastal zone using an artificial neural network and a numerical model (2012) (8)
- Adaptive cluster covering and evolutionary approach: comparison, differences and similarities (2005) (8)
- Multivariate chaotic models vs neural networks in predicting storm surge dynamics (2008) (8)
- Multiobjective Valve Management Optimization Formulations for Water Quality Enhancement in Water Distribution Networks (2019) (8)
- Regional Versus Physically-Based Methods For Flood Inundation Modelling In Data Scarce Areas : An Application To The Blue Nile (2014) (7)
- Multi Station Calibration of 3D Flexible Mesh Model: A Case Study of the Columbia Estuary☆ (2015) (7)
- Computational intelligence techniques in modeling water systems: some applications (2002) (7)
- A Comparison of Spatial–Temporal Scale Between Multiscalar Drought Indices in the South Central Region of Vietnam (2019) (7)
- A novel nested stochastic dynamic programming (nSDP) and nested reinforcement learning (nRL) algorithm for multipurpose reservoir optimization (2017) (7)
- An artificial neural network model of a generalised channel network (1998) (7)
- Towards assimilation of crowdsourced observations for different levels of citizen engagement: the flood event of 2013 in the Bacchiglione catchment (2017) (7)
- Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective (2022) (6)
- Intelligent Drought Tracking for its Use in Machine Learning: Implementation and First Results (2018) (6)
- THE USE OF THE A.G.P. TEST FOR DETERMINING THE PHYTOPLANKTON PRODUCTION AND DISTRIBUTION IN THE THERMALLY STRATIFIED RESERVOIRS: THE CASE OF YONGDAM RESERVOIR IN KOREA (2011) (6)
- Mixtures of Simple Models vs ANNs in Hydrological Modeling (2003) (6)
- Assessing the Impact of Precipitation Change on Design Annual Runoff in the Headwater Region of Yellow River, China (2019) (6)
- How Well Can Machine Learning Models Perform without Hydrologists? Application of Rational Feature Selection to Improve Hydrological Forecasting (2021) (6)
- Analysis and simulation of the influencing factors on regional water use based on information entropy (2012) (6)
- Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region (2018) (5)
- Using remote sensing to enhance modelling of fine sediment dynamics in the Dutch coastal zone (2014) (5)
- The use of a flood index to characterise flooding in the north-eastern region of Bangladesh (2016) (5)
- Entropy-Randomized Forecasting of Stochastic Dynamic Regression Models (2020) (5)
- Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios (2018) (4)
- 2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction (2006) (4)
- Chaotic model with data assimilation using NARX network (2009) (4)
- Cloud computing framework for a hydro information system (2012) (4)
- Assessing the performance of near real-time rainfall products to represent spatiotemporal characteristics of extreme events: case study of a subtropical catchment in south-eastern Brazil (2018) (4)
- Experimental investigation of the predictive capabilities of soft computing techniques in hydrology (2009) (4)
- Data Assimilation in Hydrologic Routing: Impact of Model Error and Sensor Placement on Flood Forecasting (2018) (4)
- Evaluation of Different Approaches to Calibration in the Context of Urban Drainage Modelling (2006) (4)
- Approach to robust multi-objective optimization and probabilistic analysis: the ROPAR algorithm (2019) (4)
- A Graph Theoretical Sectorization Approach for Energy Reduction in Water Distribution Networks (2016) (4)
- Spatiotemporal Analysis of Extreme Rainfall Events Using an Object-Based Approach (2019) (4)
- Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems (2020) (4)
- Real-time Data Assimilation for Chaotic Storm Surge Model Using NARX Neural Network (2011) (4)
- Chapter 2 Data-Driven Modelling : Concepts , Approaches and Experiences (2017) (4)
- Applying clustering approach in predictive uncertainty estimation: a case study with the UNEEC method (2014) (4)
- Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model (2021) (3)
- Future hydrology and climate in the River Nile basin (2011) (3)
- Optimal design of hydrometric monitoring networks with dynamic components based on Information Theory (2016) (3)
- Comparing machine learning methods in estimation of model uncertainty (2008) (3)
- ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty (2009) (3)
- Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning (2011) (3)
- Ensemble Simulation From Multiple Data Sources In A Spatially Distributed Hydrological Model Of The Rijnland Water System In The Netherlands (2014) (3)
- Combining Multiple Data-driven Models for Spatiotemporal Groundwater Forecasts in The High Plains Aquifer (2018) (3)
- Studying the impact of infilling techniques on drought estimation — A case study in the South Central Region of Vietnam (2017) (3)
- Effect Of Different Hydrological Model Structures On The Assimilation Of Distributed Uncertain Observations (2014) (3)
- Global and Low-Cost Topographic Data to Support Flood Studies (2015) (3)
- Practical experience and framework for sensitivity analysis of hydrological models: six methods, three models, three criteria (2018) (3)
- ICT for Smart Water Systems: Measurements and Data Science (2021) (3)
- Comparative analysis of conceptual models with error correction, artificial neural networks and committee models (2014) (2)
- Multi-model ensemble forecasting in high dimensional chaotic system (2010) (2)
- Optimizing Mixtures of Local Experts in Tree-Like Regression Models (2005) (2)
- Learning hydrologic flow separation algorithm and local ANN committee modeling (2006) (2)
- Combining Machine Learning and Domain Knowledge in Modular Modelling (2009) (2)
- Development Of A Cloud Computing Application For Water Resources Modelling And Optimization Based On Open Source Software (2014) (2)
- IMPROVING PERFORMANCE OF CHLOROPHYL CONCENTRATION TIME SERIES SIMULATION WITH ARTIFICIAL NEURAL NETWORKS (1998) (2)
- An Approach for Urban Catchment Model Updating (2018) (2)
- Estimation of prediction intervals for the model outputs using machine learning (2005) (2)
- Spatio-Temporal Hydrological Model Structure and Parametrization Analysis (2021) (2)
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model (2019) (2)
- Modelling harbour sedimentation using ANN and M5 model trees (2005) (2)
- PREDICTING HYDROLOGICAL MODELS UNCERTAINTY: USE OF MACHINE LEARNING (2006) (2)
- ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite (2020) (2)
- A novel approach to parameter uncertainty analysis of hydrological models: Application of machine learning techniques (2009) (2)
- Application of methods predicting model uncertainty in flood forecasting (2012) (2)
- Ensemble of radar and MM5 precipitation forecast models with M5 model trees. (2009) (2)
- ENCAPSULATION OF MONTE-CARLO UNCERTAINTY ANALYSIS RESULTS IN A PREDICTIVE MACHINE LEARNING MODEL (2008) (2)
- Fuzzy committees of specialised rainfall-runoff models: Further enhancements (2013) (2)
- Towards socio-hydroinformatics: optimal design and integration of citizen-based information in water-system models (2017) (2)
- Web-based solutions for flood risk analysis, modelling and management (2010) (2)
- A STUDY ON THE APPLICATION OF GENETIC ALGORISM TO CALIBRATION OF WATER QUALITY MODEL (2004) (2)
- A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea (2022) (2)
- Local and hybrid learning models in forecasting natural phenomena (2005) (2)
- Assimilation Of Heterogeneous Uncertain Data, Having Different Observational Errors, In Hydrological Models (2014) (1)
- Combinations of specilaized conceptual and neural network rainfall-runoff models: comparison of performance (2013) (1)
- Prologue: special issue on data driven modeling and evolutionary optimization for river basin management (2008) (1)
- Assessing uncertainty in rainfall-runoff models: Application of data-driven models (2008) (1)
- Using the Ensemble Kalman Filter to update a fast surrogate model for flow forecasting (2018) (1)
- Development of a cloud application for supporting water resources modeling (2012) (1)
- Machine-learning approach to crop yield prediction with the spatial extent of drought (2021) (1)
- Exploring the Use of the Three Rainfall Remote Sensing Products for Flood Prediction in the Brahmaputra Basin (2018) (1)
- Optimal reservoir operation policies using novel nested algorithms (2015) (1)
- Bias correction of satellite-based rainfall data (2015) (1)
- Use of Global Optimisation Technique in Groundwater Pumping Strategy for Plume Removal (2000) (1)
- QUANTIFYING UNCERTAINTY OF FLOOD FORECASTING USING DATA DRIVEN MODELS (2005) (1)
- Exploring Assimilation of Crowdsourcing Observations into Flood Models (2019) (1)
- Cloud computing application for water resources based on open source software and open standards - a prototype (2015) (1)
- Modelling support to citizen observatories for strategic Danube Delta planning: Sontea-Fortuna case study (2019) (1)
- Experiences in using evolutionary and non-evolutionary optimization methods in models calibration (2006) (1)
- A Novel Method to Estimate the Model Uncertainty Based on the Model Errors (2006) (1)
- Optimal Model-based Rehabilitation of Urban Drainage Systems and the Use of Computational Intelligence (2006) (1)
- Use of near-real-time satellite precipitation data and machine learning to improve extreme runoff modeling (2021) (1)
- Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure (2014) (1)
- Frequency analysis of Earth Observation and Hydrological model Evapotranspiration and Soil Moisture (2014) (1)
- Impact of the Mean Areal Rainfall Calculation on a Modular Rainfall-Runoff Model (2020) (1)
- Architecture of a prototype cloud application for a hydro information system (2011) (1)
- Improving flood prediction by assimilation of the distributed streamflow observations with variable uncertainty and intermittent behavior (2015) (1)
- Randomised Search Optimisation Algorithms and Their Application in the Rehabilitation of Urban Drainage Systems (2009) (1)
- Influence of structures on flood hazard (2013) (1)
- Use of different sampling schemes in machine learning-based prediction of hydrological models' uncertainty (2013) (1)
- Improving Empirical Models with Machine Learning (2006) (1)
- Committees Of Specialized Conceptual Hydrological Models: Comparative Study (2014) (1)
- Estimation of predictive hydrologic uncertainty using quantile regression and UNEEC methods and their comparison on contrasting catchments (discussion paper) (2014) (1)
- Predicting model uncertainty using quantile regression and 1 UNEEC methods and their comparison on contrasting 2 catchments 3 4 (2015) (1)
- Uncertainty analysis of an inflow forecasting model: extension of the UNEEC machine learning-based method (2010) (1)
- Multi-objective nested algorithms for optimal reservoir operation (2016) (1)
- Experiments with models committees for flow forecasting (2012) (1)
- Experiments with encapsulation of Monte Carlo simulation results in machine learning models (2010) (1)
- Three-dimensional clustering in the characterization of spatiotemporal drought dynamics: cluster size filter and drought indicator threshold optimization (2021) (1)
- Comparison of machine learning methods for data infilling in hydrological forecasting (2014) (1)
- Near-real-time satellite precipitation data ingestion into peak runoff forecasting models (2022) (1)
- Data-driven techniques scrutinized: is there one better than the rest? (2009) (0)
- Automatic Calibration of Water Quality Simulation Model Using Global Optimization Technique (2003) (0)
- Fuzzy-Committees of Conceptual distributed Model (2021) (0)
- Experiments with clustering of catchments in PCA-reduced space and regionalization of a hydrological model (Central Alborz region, Iran) (2015) (0)
- Cheboksary reservoir under two different weather scenarios (2018) (0)
- Spatial fuzzy committee of hydrological models applied to the Jiboa river basin in Salvador (2019) (0)
- Editor's final comment on hess-2020-617 (2021) (0)
- Defining pathways for citizen observatories using flood modelling: sensitivity analysis in Sontea-Fortuna case study (2018) (0)
- Editor's Comment (1985) (0)
- Combining multiple specialised models in flood context (2012) (0)
- Fuzzy-Committees of Conceptual distributed Models (2021) (0)
- ICeWATER - ICT solutions for efficient water resources management (2012) (0)
- Exploring contributions of citizens’ data to improvements in modelling of an urbanized catchment: A case study in Kifissos catchment (2020) (0)
- Flood Inundation Modelling Under Uncertainty Using Globally and Freely Available Remote Sensing Data (2012) (0)
- Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems (2023) (0)
- Comparative analysis of two evaporation-based drought indicators for large-scale drought monitoring (2018) (0)
- Final Editor's comment (2018) (0)
- Comment on hess-2021-120 (2021) (0)
- Spatio-temporal optimization of agricultural practices to achieve a sustainable development at basin level; framework of a case study in Colombia (2016) (0)
- A Hybrid Approach in Combining Numerical and Data-driven Models in Modelling Fine Sediment Transport (2011) (0)
- Preparing a paper and dealing with reviews: how to increase chances for your paper to be published (2016) (0)
- Hydroclimatic Controls in Irrigated Croplands (2020) (0)
- Learning Errors of Environmental Mathematical Models (2013) (0)
- Estimation of Model Parameter of Water Quality Simulation Model using Genetic Algorithm (2004) (0)
- Local andHybridLearning Models inForecasting Natural Phenomena (2005) (0)
- Effect of citizen engagement levels in flood forecasting by assimilating crowdsourced observations in hydrological models (2017) (0)
- STUDY ON NUMERICAL PREDICTION OF TIDAL CURRENT USING FORECATED WEATHER DATA (2005) (0)
- Pattern recognition techniques in estimation of rainfall extreme events spatiotemporal characteristic: case study of a subtropical catchment in south-eastern Brazil (2017) (0)
- Application of artificial neural network models for estimation of water levels in the Everglades, South Florida (2019) (0)
- Citizen observatory of water as a data engine supporting the people-hydrology nexus: experience of the WeSenseIt project (2016) (0)
- Estimation ofPrediction Intervals fortheModel Outputs UsingMachineLearning (2005) (0)
- Interactive comment on “Prediction of littoral drift with artificial neural networks” by A. K. Singh et al (2007) (0)
- Final Editor's comment, before revision (2019) (0)
- Erratum for “Multiobjective Evolutionary Approach to Rehabilitation of Urban Drainage Systems” by Wilmer Barreto, Zoran Vojinovic, Roland Price, and Dimitri Solomatine (2011) (0)
- Assimilation of soil moisture observations from remote sensing in operational flood forecasting (2014) (0)
- Edotor's final comment (2019) (0)
- Interactive comment on “Understanding coastal wetland conditions and futures by closing their hydrologic balance: the case of Gialova lagoon, Greece” by (2020) (0)
- Interactive comment on “Physics-inspired integrated space-time Artificial Neural Networks for regional groundwater flow modeling” by Ali Ghaseminejad and Venkatesh Uddameri (2020) (0)
- Interactive comment on “A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context” by Lionel Berthet et al (2019) (0)
- Interactive comment on “ Identifying the connective strength between model parameters and performance criteria ” by Björn Guse et al . (2017) (0)
- Safety against flooding : Activity Report 2008-2009 (2009) (0)
- Interactive comment on “ Hybridizing Bayesian and variational data assimilation for robust high-resolution hydrologic forecasting ” by Felipe Hernández and Xu Liang (2017) (0)
- Performance Comparison of the European Storm Surge Models and Chaotic Model in Forecasting Extreme Storm Surges (2009) (0)
- Comment on hess-2021-24 (2021) (0)
- Experiments with a conceptual distributed hydrological model: impact of cell size, parameter regionalization and routing method (2019) (0)
- ModellingHarbourSedimentation UsingANN andM5 Model Trees (2005) (0)
- Comparative analysis of various real-time data assimilation approaches for assimilating streamflow into a hydrologic routing model (2016) (0)
- International Conference on Hydroinformatics 8-1-2014 Hydrodynamic And Water Quality Surrogate Modeling For Reservoir Operation (2017) (0)
- Data mining, knowledge discovery and data-driven modelling (2003) (0)
- Platform for the Support of Collaborative Work (PSCW) (2003) (0)
- Computational intelligence in earth and environmental sciences (2007) (0)
- Interactive comment on “From skill to value: isolating the influence of end-user behaviour on seasonal forecast assessment” by Matteo Giuliani et al. (2020) (0)
- Software integration for flood management (2011) (0)
- Hydrological and Erosion Modelling of the Brahmaputra Basin Using Global Datasets (2018) (0)
- A novel approach to machine learning-based error correction for hydrological models (2014) (0)
- Application of global datasets for hydrological modelling of a remote, snowmelt driven catchment in the Canadian Sub-Arctic (2017) (0)
- MODEL PARAMETER ESTIMATION BY GLOBAL OPTIMIZATION ALGORITHM ACCO COMPLEMENTED BY AN ANN-BASED ERROR ESTIMATOR (2008) (0)
- Comment on hess-2021-371 (2021) (0)
- Flood extent maps from satellite imagery, hydrometric data and downstream water surface slope to constrain uncertainty in inundation modelling based on SRTM or LiDAR topography (2013) (0)
- Interactive comment on “Exploring hydrologic post-processing of ensemble stream flow forecasts based on Affine kernel dressing and Nondominated sorting genetic algorithm II” by Jing Xu et al (2020) (0)
- Space–time models for hydrological and environmental applications (2020) (0)
- Review, mathematical representation and classification of preventive drought management measures (2020) (0)
- Uncertainty Communication Of Probabilistic Flood Mapping: A Stakeholder Driven Approach (2012) (0)
- Assessing skill of global flood forecasting system in forecasting floods at local scales (2018) (0)
- International Conference on Hydroinformatics 8-1-2014 Prediction Of Hydrological Models ’ Uncertainty By A Committee Of Machine Learning-Models (2017) (0)
- Editor's comment (2020) (0)
- The use of sediment deposition maps as auxiliary data for hydraulic model calibration (2013) (0)
- comment on the paper entitled " Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting " by (2017) (0)
- Building Chaotic Model From Incomplete Time Series (2010) (0)
- Editor's comment (2005) (0)
- Water Quality Modelling for Nitrate Nitrogen Control Using HEC-RAS: Case Study of Nakdong River in South Korea (2023) (0)
- Editor's comment, before revision (2019) (0)
- Interactive comment on “ Classification of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts ” by N . Lauzon et al . (2006) (0)
- A novel framework of deriving joint impoundment rules for large-scale reservoir system based on a classification-aggregation-decomposition approach (2020) (0)
- DEVELOPING FLOOD INDEX FROM PAST FLOOD HYDROGRAPHS AND USING IT AS A TOOL TO CHARACTERIZE FLOOD SEVERITY (2019) (0)
- Towards robust optimization of cascade operation of reservoirs considering streamflow uncertainty (2020) (0)
- Towards real-time assimilation of crowdsourced observations in hydrological modeling (2016) (0)
- Integrating the flow regime and water quality effects into a niche-based metacommunity dynamics model for river ecosystems. (2023) (0)
- Editor's Comment on hess-2019-196 (2022) (0)
- Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review (2023) (0)
- Measuring domain decomposition effect in estuary model parallelization using high performance computer (2014) (0)
- On the visualization of water-related big data: extracting insights from drought proxies' datasets (2017) (0)
- Calibration support to the Generic Framework program (2003) (0)
- Model-Based Assessment of Preventive Drought Management Measures’ Effect on Droughts Severity (2023) (0)
- UC Irvine UC Irvine Previously Published Works Title Evolutionary algorithms and other metaheuristics in water resources : Current status , research challenges and future directions (2014) (0)
- Flood Modelling and Citizen Observatories: Analysing Pathways for Data Collection in the Sontea-Fortuna Case Study (2018) (0)
- Machine Learning inSoil Classification (2005) (0)
- Hydroclimatic Controls on Agroecosystem Resiliency in the Northern High Plains (2016) (0)
- Interactive comment on “Hydrological model coupling with ANNs” by R. G. Kamp and H. H. G. Savenije (2007) (0)
- Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences (2005) (0)
- From Experts to Providers of Humanitarian Actions: Developing Flood Forecast Models for Forecast-based Financing (2019) (0)
- Can performance metrics accounting for the flood extent shape improve inundation model calibration? (2020) (0)
- Calibrating and validating an inundation model with and without crowdsourced water depths and velocities (2020) (0)
- Editor's comment (2020) (0)
- Cloud hydro information system and web services (2012) (0)
- Assessing the suitability of two model structures for basin resources estimation in the Mpologoma basin, within the Upper Nile (2010) (0)
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What Schools Are Affiliated With Dimitri P. Solomatine?
Dimitri P. Solomatine is affiliated with the following schools:
