Environmental Modelling & Software

Papers
(The median citation count of Environmental Modelling & Software is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support278
Quantarctica, an integrated mapping environment for Antarctica, the Southern Ocean, and sub-Antarctic islands139
Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China123
Urban flood numerical simulation: Research, methods and future perspectives96
A review of machine learning methods for drought hazard monitoring and forecasting: Current research trends, challenges, and future research directions83
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling82
An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis80
A comprehensive review on the design and optimization of surface water quality monitoring networks78
Mapping water ecosystem services: Evaluating InVEST model predictions in data scarce regions77
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa72
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction72
Spatiotemporal characteristics and attribution of dry/wet conditions in the Weihe River Basin within a typical monsoon transition zone of East Asia over the recent 547 years61
TRITON: A Multi-GPU open source 2D hydrodynamic flood model59
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information57
Modelling agricultural land abandonment in a fine spatial resolution multi-level land-use model: An application for the EU55
Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models54
Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions54
Pipedream: An interactive digital twin model for natural and urban drainage systems54
Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning53
Augmented Normalized Difference Water Index for improved surface water monitoring52
Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping51
FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides49
How to decide and visualize whether uncertainty or variability is dominating in life cycle assessment results: A systematic review49
Speaking their language – Development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders49
Coastal Analyst System from Space Imagery Engine (CASSIE): Shoreline management module45
A rapid 3D reproduction system of dam-break floods constrained by post-disaster information45
Economy-wide impacts of behavioral climate change mitigation: Linking agent-based and computable general equilibrium models44
Application of image processing and convolutional neural networks for flood image classification and semantic segmentation43
Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach43
A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations43
Targeting social learning and engagement: What serious games and gamification can offer to participatory modeling42
Transformer neural networks for interpretable flood forecasting42
Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives41
A deep learning model for predicting river flood depth and extent41
Groundwater Level Mapping Tool: An open source web application for assessing groundwater sustainability41
Integrated urban water management with micro storages developed as an IoT-based solution – The smart rain barrel41
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise39
Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management39
Modelling of wildland-urban interface fire spread with the heterogeneous cellular automata model39
Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources38
An integrated GPU-accelerated modeling framework for high-resolution simulations of rural and urban flash floods37
Sensitivity analysis: A discipline coming of age37
Social Values for Ecosystem Services (SolVES): Open-source spatial modeling of cultural services36
A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction36
Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin36
On code sharing and model documentation of published individual and agent-based models36
How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models35
What's left before participatory modeling can fully support real-world environmental planning processes: A case study review35
A new modelling framework to assess biogenic GHG emissions from reservoirs: The G-res tool35
An attention U-Net model for detection of fine-scale hydrologic streamlines34
Active learning for anomaly detection in environmental data33
Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress33
Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE system32
The spatial statistic trinity: A generic framework for spatial sampling and inference32
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation32
TOSSH: A Toolbox for Streamflow Signatures in Hydrology31
Opportunities for crowdsourcing in urban flood monitoring31
Making spatial-temporal marine ecosystem modelling better – A perspective30
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia)30
Using machine learning to derive spatial wave data: A case study for a marine energy site30
Predicting land-use change: Intercomparison of different hybrid machine learning models30
An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool30
Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs29
Derivation of a Bayesian fire spread model using large-scale wildfire observations29
Modeling bioretention stormwater systems: Current models and future research needs29
Coupling machine learning and weather forecast to predict farmland flood disaster: A case study in Yangtze River basin29
Gaussian process machine learning and Kriging for groundwater salinity interpolation29
Agricultural erosion modelling: Evaluating USLE and WEPP field-scale erosion estimates using UAV time-series data28
Water pathways: An open source stochastic simulation system for integrated water supply portfolio management and infrastructure investment planning28
Physical and numerical modelling of air-water flows: An Introductory Overview27
A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes27
Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support27
CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction27
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis27
Using Machine Learning to estimate the impact of ports and cruise ship traffic on urban air quality: The case of Barcelona27
BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling27
Long-term dynamic simulation of environmental impacts on ecosystem-based pond aquaculture27
Performance of one-dimensional hydrodynamic lake models during short-term extreme weather events27
basement v3: A modular freeware for river process modelling over multiple computational backends26
Quality control of a global hourly rainfall dataset26
The Full Multi: An open-source framework for modelling the transport and fate of nano- and microplastics in aquatic systems26
Critical reflections on Water-Energy-Food Nexus in Computable General Equilibrium models: A systematic literature review25
Simulation-assisted machine learning for operational digital twins25
Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence25
porousMedia4Foam: Multi-scale open-source platform for hydro-geochemical simulations with OpenFOAM®25
Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan25
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting25
Adapting HYDRUS-1D to simulate the transport of soil water isotopes with evaporation fractionation25
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis25
A dual-layer MPI continuous large-scale hydrological model including Human Systems25
Fit-for-purpose environmental modeling: Targeting the intersection of usability, reliability and feasibility25
Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments24
Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis24
Uncertainty concepts for integrated modeling - Review and application for identifying uncertainties and uncertainty propagation pathways24
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes24
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces24
A hybrid bayesian vine model for water level prediction24
A multi-model ensemble approach to coastal storm erosion prediction23
Identifying critical climate conditions for use in scenario-neutral climate impact assessments23
DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling23
Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system23
India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project23
Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios22
Water-energy nexus-based scenario analysis for sustainable development of Mumbai22
Scoping review of the potentials of fuzzy cognitive maps as a modeling approach for integrated environmental assessment and management22
NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management22
A novel multi-source data fusion method based on Bayesian inference for accurate estimation of chlorophyll-a concentration over eutrophic lakes22
Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data21
A multiple-uncertainty analysis framework for integrated assessment modelling of several sustainable development goals21
Modeling migration of organic pollutants in groundwater — Review of available software21
1622WQ: A web-based application to increase farmer awareness of the impact of agriculture on water quality21
Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework21
Considerations for selecting a machine learning technique for predicting deforestation21
SIMPLE-G: A multiscale framework for integration of economic and biophysical determinants of sustainability21
Stream power index for networks (SPIN) toolbox for decision support in urbanizing watersheds21
California's food-energy-water system: An open source simulation model of adaptive surface and groundwater management in the Central Valley21
Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing21
ATLANTIS: A benchmark for semantic segmentation of waterbody images21
SW2D-GPU: A two-dimensional shallow water model accelerated by GPGPU20
Comparison of two modelling strategies for 2D large-scale flood simulations20
Recurrent neural networks for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon20
Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds20
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds20
Data-driven surrogate modeling: Introducing spatial lag to consider spatial autocorrelation of flooding within urban drainage systems20
Prediction of wildfire rate of spread in grasslands using machine learning methods20
A satellite-driven hydro-economic model to support agricultural water resources management20
Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan20
A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing with uncertainty in models and the observational data20
User-friendly workflows for catchment modelling: Towards reproducible SWAT+ model studies20
Identification of source information for sudden water pollution incidents in rivers and lakes based on variable-fidelity surrogate-DREAM optimization20
A taxonomy for reproducible and replicable research in environmental modelling19
Small increases in agent-based model complexity can result in large increases in required calibration data19
Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses19
Integration of quantitative precipitation forecasts with real-time hydrology and hydraulics modeling towards probabilistic forecasting of urban flooding19
Simulating river regulation and reservoir performance in a continental-scale hydrologic model19
Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization19
How morphology shapes the parameter sensitivity of lake ecosystem models19
A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities19
An overview of visualization and visual analytics applications in water resources management18
A stochastic conceptual-data-driven approach for improved hydrological simulations18
An automated calibration framework and open source tools for 3D lake hydrodynamic models18
A general conceptual framework for multi-dimensional spatio-temporal data sets18
Operationalizing the use of TLS in forest inventories: The R package FORTLS18
Introducing a new post-processing tool for the SWAT+ model to evaluate environmental flows18
Multi-criteria method for the realistic placement of water quality sensors on pipes of water distribution systems18
Efficient and high-resolution simulation of pollutant dispersion in complex urban environments by island-based recurrence CFD18
A system dynamics model to support marine spatial planning in Algoa Bay, South Africa18
Introducing QWET – A QGIS-plugin for application, evaluation and experimentation with the WET model18
Ten years of modeling the Deepwater Horizon oil spill18
Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework18
The MODFLOW Application Programming Interface for simulation control and software interoperability17
Diminished reality system with real-time object detection using deep learning for onsite landscape simulation during redevelopment17
Addressing the water conflict between agriculture and ecosystems under environmental flow regulation: An integrated modeling study17
Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study17
Optimal sensor placement for contamination detection: A multi-objective and probabilistic approach17
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs17
Spatial prediction of air pollution levels using a hierarchical Bayesian spatiotemporal model in Catalonia, Spain17
Multivariate polynomial regression modeling of total dissolved-solids in rangeland stormwater runoff in the Colorado River Basin17
A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies17
A review of parallel computing applications in calibrating watershed hydrologic models17
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning17
Introducing ‘riverconn’: an R package to assess river connectivity indices17
Detecting early warning signals of long-term water supply vulnerability using machine learning17
Coupling surface flow with high-performance subsurface reactive flow and transport code PFLOTRAN17
Toward more mechanistic representations of biogeochemical processes in river networks: Implementation and demonstration of a multiscale model17
Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models17
A comprehensive drought index based on remote sensing data and nested copulas for monitoring meteorological and agroecological droughts: A case study on the Qinghai-Tibet Plateau16
Solar radiation modeling with KNIME and Solar Analyst: Increasing environmental model reproducibility using scientific workflows16
A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model- A case study in Qinglong River watershed, China16
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat16
Balancing exploitation and exploration: A novel hybrid global-local optimization strategy for hydrological model calibration16
An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation16
A toolbox for visualizing trends in large-scale environmental data16
PoolTestR: An R package for estimating prevalence and regression modelling for molecular xenomonitoring and other applications with pooled samples16
A parameterization strategy for hydrodynamic modelling of a cascade of poorly monitored reservoirs in Brazil16
Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data16
Evaluating the 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread against an extensive independent set of observations15
Is VARS more intuitive and efficient than Sobol’ indices?15
Building level flood exposure analysis using a hydrodynamic model15
Sentinel-1 based Inland water dynamics Mapping System (SIMS)15
A spatio-temporal land use regression model to assess street-level exposure to black carbon15
Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data15
Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes15
How to keep it adequate: A protocol for ensuring validity in agent-based simulation15
Forecasting contrasting coastal and estuarine hydrodynamics with OPENCoastS15
A cloud-based framework for sensitivity analysis of natural hazard models15
A CUDA Fortran GPU-parallelised hydrodynamic tool for high-resolution and long-term eco-hydraulic modelling15
Linear layout of multiple flow-direction networks for landscape-evolution simulations15
The Virtual River Game: Gaming using models to collaboratively explore river management complexity15
A web-based analytical urban flood damage and loss estimation framework15
Heat wave tracker: A multi-method, multi-source heat wave measurement toolkit based on Google Earth Engine15
Utilizing dynamic parallelism in CUDA to accelerate a 3D red-black successive over relaxation wind-field solver15
Web-based prototype system for flood simulation and forecasting based on the HEC-HMS model15
The effect of the Deepwater Horizon oil spill on two ecosystem services in the Northern Gulf of Mexico15
Impacts of off-road vehicle tracks on runoff, erosion and sediment delivery – A combined field and modeling approach15
Extending SC-PDSI-PM with neural network regression using GLDAS data and Permutation Feature Importance14
An open source reservoir and sediment simulation framework for identifying and evaluating siting, design, and operation alternatives14
The AirSensor open-source R-package and DataViewer web application for interpreting community data collected by low-cost sensor networks14
Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting14
Using Bayesian optimization to automate the calibration of complex hydrological models: Framework and application14
Streamlined wildland-urban interface fire tracing (SWUIFT): Modeling wildfire spread in communities14
Numerical modelling of storm surge, nutrient pollution and saltwater intrusion in a large estuary with typhoon effects14
ForestFit: An R package for modeling plant size distributions14
Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages14
Towards a combined Landsat-8 and Sentinel-2 for 10-m land surface temperature products: The Google Earth Engine monthly Ten-ST-GEE system14
Calibration of hydrological models considering process interdependence: A case study of SWAT model14
The easyclimate R package: Easy access to high-resolution daily climate data for Europe14
A fractional land use change model for ecological applications14
Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: State of the art, diversity and current trends14
A framework based on statistical analysis and stakeholders’ preferences to inform weighting in composite indicators14
Considering scale within optimization procedures for water management decisions: Balancing environmental flows and human needs14
An effective strategy for combining variance- and distribution-based global sensitivity analysis14
A multiple and ensembling approach for calibration and evaluation of genetic coefficients of CERES-Maize to simulate maize phenology and yield in Michigan14
Modelling drivers of Brazilian agricultural change in a telecoupled world14
Introductory overview: Systems and control methods for operational management support in agricultural production systems14
Regional-scale modeling of rainfall-induced landslides under random rainfall patterns14
Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling13
A Python toolkit to monitor sandy shoreline change using high-resolution PlanetScope cubesats13
V-FloodNet: A video segmentation system for urban flood detection and quantification13
Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI)13
Interoperability engine design for model sharing and reuse among OpenMI, BMI and OpenGMS-IS model standards13
Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker13
METRIC-GIS: An advanced energy balance model for computing crop evapotranspiration in a GIS environment13
A Web-based geo-simulation approach integrating knowledge graph and model-services13
Unravelling groundwater time series patterns: Visual analytics-aided deep learning in the Namoi region of Australia13
SWAT-S: A SWAT-salinity module for watershed-scale modeling of natural salinity13
A two-stage modelling method for multi-station daily water level prediction13
Predicting runoff series in ungauged basins of the Brazilian Cerrado biome13
A systematic literature review on lake water level prediction models13
QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data13
Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)13
HydroLang: An open-source web-based programming framework for hydrological sciences13
Watershed Workflow: A toolset for parameterizing data-intensive, integrated hydrologic models13
Watershed scale evaluation of an improved SWAT auto-irrigation function13
Hydrogeophysical model calibration and uncertainty analysis via full integration of PEST/PEST++ and COMSOL13
Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef13
From mycelia to mastodons – A general approach for simulating biotic disturbances in forest ecosystems12
SOCAIRE: Forecasting and monitoring urban air quality in Madrid12
Dealing with shallow groundwater contexts for the modelling of urban hydrology – A simplified approach to represent interactions between surface hydrology, groundwater and underground structures in hy12
APEX-MODFLOW: A New integrated model to simulate hydrological processes in watershed systems12
Argument-based assessment of predictive uncertainty of data-driven environmental models12
Evaluating crop-soil-water dynamics in waterlogged areas using a coupled groundwater-agronomic model12
Predictive capacity of Ecopath with Ecosim: Model performance and ecological indicators’ response to imprecision12
A modelling framework and R-package for evaluating system performance under hydroclimate variability and change12
Minimizing physical habitat impacts at downstream of diversion dams by a multiobjective optimization of environmental flow regime12
A user-friendly software for modelling extreme values: EXTRASTAR (EXTRemes Abacus for STAtistical Regionalization)12
Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach12
Unsupervised deep learning of landscape typologies from remote sensing images and other continuous spatial data12
Global sensitivity analysis of KINEROS2 hydrologic model parameters representing green infrastructure using the STAR-VARS framework12
Discussoo: Towards an intelligent tool for multi-scale participatory modeling12
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