Environmental Modelling & Software

Papers
(The median citation count of Environmental Modelling & Software is 4. 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 2020-06-01 to 2024-06-01.)
ArticleCitations
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support242
Quantarctica, an integrated mapping environment for Antarctica, the Southern Ocean, and sub-Antarctic islands117
Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China110
Urban flood numerical simulation: Research, methods and future perspectives84
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling71
A comprehensive review on the design and optimization of surface water quality monitoring networks71
A system of metrics for the assessment and improvement of aquatic ecosystem models70
An integrated flood risk assessment approach based on coupled hydrological-hydraulic modeling and bottom-up hazard vulnerability analysis70
A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin69
Flexible watershed simulation with the Raven hydrological modelling framework69
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa69
The proper care and feeding of CAMELS: How limited training data affects streamflow prediction67
A review of machine learning methods for drought hazard monitoring and forecasting: Current research trends, challenges, and future research directions67
Mapping water ecosystem services: Evaluating InVEST model predictions in data scarce regions66
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 years59
TRITON: A Multi-GPU open source 2D hydrodynamic flood model57
Modelling agricultural land abandonment in a fine spatial resolution multi-level land-use model: An application for the EU52
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information48
Speaking their language – Development of a multilingual decision-support tool for communicating invasive species risks to decision makers and stakeholders48
Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions47
How to decide and visualize whether uncertainty or variability is dominating in life cycle assessment results: A systematic review46
Pipedream: An interactive digital twin model for natural and urban drainage systems45
Augmented Normalized Difference Water Index for improved surface water monitoring45
Evaluation of six methods for correcting bias in estimates from ensemble tree machine learning regression models45
Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping44
Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach43
Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning43
A rapid 3D reproduction system of dam-break floods constrained by post-disaster information43
FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides42
Groundwater Level Mapping Tool: An open source web application for assessing groundwater sustainability40
Terrestrial and airborne laser scanning and 2-D modelling for 3-D flood hazard maps in urban areas: new opportunities and perspectives39
Coastal Analyst System from Space Imagery Engine (CASSIE): Shoreline management module38
A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations38
Application of image processing and convolutional neural networks for flood image classification and semantic segmentation37
Economy-wide impacts of behavioral climate change mitigation: Linking agent-based and computable general equilibrium models37
Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management37
Targeting social learning and engagement: What serious games and gamification can offer to participatory modeling36
Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources35
A deep learning model for predicting river flood depth and extent35
Modelling of wildland-urban interface fire spread with the heterogeneous cellular automata model35
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine35
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise34
How robust are future projections of forest landscape dynamics? Insights from a systematic comparison of four forest landscape models34
Integrated urban water management with micro storages developed as an IoT-based solution – The smart rain barrel34
Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin34
Building a landslide hazard indicator with machine learning and land surface models33
A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes32
An attention U-Net model for detection of fine-scale hydrologic streamlines32
An integrated GPU-accelerated modeling framework for high-resolution simulations of rural and urban flash floods32
Active learning for anomaly detection in environmental data32
A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction32
Social Values for Ecosystem Services (SolVES): Open-source spatial modeling of cultural services32
Sensitivity analysis: A discipline coming of age31
Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE system31
What's left before participatory modeling can fully support real-world environmental planning processes: A case study review31
Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress31
On code sharing and model documentation of published individual and agent-based models31
A new modelling framework to assess biogenic GHG emissions from reservoirs: The G-res tool30
Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs29
Using machine learning to derive spatial wave data: A case study for a marine energy site29
The spatial statistic trinity: A generic framework for spatial sampling and inference29
Transformer neural networks for interpretable flood forecasting28
Derivation of a Bayesian fire spread model using large-scale wildfire observations28
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting – A case study in the Awash River Basin (Ethiopia)28
Making spatial-temporal marine ecosystem modelling better – A perspective27
Predicting land-use change: Intercomparison of different hybrid machine learning models27
Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models27
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation27
Opportunities for crowdsourcing in urban flood monitoring27
Modeling bioretention stormwater systems: Current models and future research needs27
Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores: Accuracy versus speed26
TOSSH: A Toolbox for Streamflow Signatures in Hydrology26
Using Machine Learning to estimate the impact of ports and cruise ship traffic on urban air quality: The case of Barcelona26
Long-term dynamic simulation of environmental impacts on ecosystem-based pond aquaculture26
CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction26
The Full Multi: An open-source framework for modelling the transport and fate of nano- and microplastics in aquatic systems25
Coupling machine learning and weather forecast to predict farmland flood disaster: A case study in Yangtze River basin25
Agricultural erosion modelling: Evaluating USLE and WEPP field-scale erosion estimates using UAV time-series data25
A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes25
What is the influence of landscape metric selection on the calibration of land-use/cover simulation models?25
Predicting seagrass decline due to cumulative stressors25
Physical and numerical modelling of air-water flows: An Introductory Overview25
A dual-layer MPI continuous large-scale hydrological model including Human Systems25
GIS preprocessing for rapid initialization of HEC-HMS hydrological basin models using web-based data services24
Quality control of a global hourly rainfall dataset24
BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling24
Water pathways: An open source stochastic simulation system for integrated water supply portfolio management and infrastructure investment planning24
Gaussian process machine learning and Kriging for groundwater salinity interpolation24
A hybrid bayesian vine model for water level prediction23
Multifidelity prediction in wildfire spread simulation: Modeling, uncertainty quantification and sensitivity analysis23
Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces23
Critical reflections on Water-Energy-Food Nexus in Computable General Equilibrium models: A systematic literature review22
An interactive graphical interface tool for parameter calibration, sensitivity analysis, uncertainty analysis, and visualization for the Soil and Water Assessment Tool22
Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence22
Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system22
Performance of one-dimensional hydrodynamic lake models during short-term extreme weather events22
Water-energy nexus-based scenario analysis for sustainable development of Mumbai22
Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan22
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis22
basement v3: A modular freeware for river process modelling over multiple computational backends22
Fit-for-purpose environmental modeling: Targeting the intersection of usability, reliability and feasibility21
ATLANTIS: A benchmark for semantic segmentation of waterbody images21
Considerations for selecting a machine learning technique for predicting deforestation21
India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project21
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis21
Watershed delineation on a hexagonal mesh grid21
LakeEnsemblR: An R package that facilitates ensemble modelling of lakes21
Keeping modelling notebooks with TRACE: Good for you and good for environmental research and management support21
Identifying critical climate conditions for use in scenario-neutral climate impact assessments21
1622WQ: A web-based application to increase farmer awareness of the impact of agriculture on water quality21
Simulation-assisted machine learning for operational digital twins21
Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures21
A multi-model ensemble approach to coastal storm erosion prediction20
Scoping review of the potentials of fuzzy cognitive maps as a modeling approach for integrated environmental assessment and management20
NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management20
SIMPLE-G: A multiscale framework for integration of economic and biophysical determinants of sustainability20
Adapting HYDRUS-1D to simulate the transport of soil water isotopes with evaporation fractionation20
Uncertainty concepts for integrated modeling - Review and application for identifying uncertainties and uncertainty propagation pathways19
A multiple-uncertainty analysis framework for integrated assessment modelling of several sustainable development goals19
Identification of source information for sudden water pollution incidents in rivers and lakes based on variable-fidelity surrogate-DREAM optimization19
Stream power index for networks (SPIN) toolbox for decision support in urbanizing watersheds19
A novel multi-source data fusion method based on Bayesian inference for accurate estimation of chlorophyll-a concentration over eutrophic lakes19
Modeling migration of organic pollutants in groundwater — Review of available software19
Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios19
User-friendly workflows for catchment modelling: Towards reproducible SWAT+ model studies19
Developing an integrated technology-environment-economics model to simulate food-energy-water systems in Corn Belt watersheds19
A taxonomy for reproducible and replicable research in environmental modelling18
Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework18
Integration of quantitative precipitation forecasts with real-time hydrology and hydraulics modeling towards probabilistic forecasting of urban flooding18
An automated calibration framework and open source tools for 3D lake hydrodynamic models18
Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization18
Discrete Global Grid Systems as scalable geospatial frameworks for characterizing coastal environments18
Evaluation of surface wind using WRF in complex terrain: Atmospheric input data and grid spacing18
An overview of visualization and visual analytics applications in water resources management18
Ten years of modeling the Deepwater Horizon oil spill18
Comparison of two modelling strategies for 2D large-scale flood simulations18
California's food-energy-water system: An open source simulation model of adaptive surface and groundwater management in the Central Valley18
Simulating river regulation and reservoir performance in a continental-scale hydrologic model18
Towards improved environmental modeling outcomes: Enabling low-cost access to high-dimensional, geostatistical-based decision-support analyses18
Addressing the water conflict between agriculture and ecosystems under environmental flow regulation: An integrated modeling study17
Introducing a new post-processing tool for the SWAT+ model to evaluate environmental flows17
SW2D-GPU: A two-dimensional shallow water model accelerated by GPGPU17
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds17
Optimization of SWAT-Paddy for modeling hydrology and diffuse pollution of large rice paddy fields17
A satellite-driven hydro-economic model to support agricultural water resources management17
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
How morphology shapes the parameter sensitivity of lake ecosystem models17
Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning17
porousMedia4Foam: Multi-scale open-source platform for hydro-geochemical simulations with OpenFOAM®17
A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing with uncertainty in models and the observational data16
Utilizing dynamic parallelism in CUDA to accelerate a 3D red-black successive over relaxation wind-field solver16
Operationalizing the use of TLS in forest inventories: The R package FORTLS16
Introducing QWET – A QGIS-plugin for application, evaluation and experimentation with the WET model16
A parameterization strategy for hydrodynamic modelling of a cascade of poorly monitored reservoirs in Brazil16
Multivariate polynomial regression modeling of total dissolved-solids in rangeland stormwater runoff in the Colorado River Basin16
Balancing exploitation and exploration: A novel hybrid global-local optimization strategy for hydrological model calibration16
Solar radiation modeling with KNIME and Solar Analyst: Increasing environmental model reproducibility using scientific workflows16
Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models16
Multi-criteria method for the realistic placement of water quality sensors on pipes of water distribution systems16
Detecting early warning signals of long-term water supply vulnerability using machine learning16
Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework16
Recurrent neural networks for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon16
Probabilistic forecast of microcystin toxin using satellite remote sensing, in situ observations and numerical modeling16
A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities16
Optimal sensor placement for contamination detection: A multi-objective and probabilistic approach16
A stochastic conceptual-data-driven approach for improved hydrological simulations15
A toolbox for visualizing trends in large-scale environmental data15
Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data15
Efficient and high-resolution simulation of pollutant dispersion in complex urban environments by island-based recurrence CFD15
Small increases in agent-based model complexity can result in large increases in required calibration data15
Exploding the myths: An introduction to artificial neural networks for prediction and forecasting15
Prediction of wildfire rate of spread in grasslands using machine learning methods15
An operational urban air quality model ENFUSER, based on dispersion modelling and data assimilation15
Linear layout of multiple flow-direction networks for landscape-evolution simulations15
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat15
A general conceptual framework for multi-dimensional spatio-temporal data sets15
Model-based dense air pollution maps from sparse sensing in multi-source scenarios15
Influence of urban catchment characteristics and rainfall origins on the phenomenon of stormwater flooding: Case study15
Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data15
The Virtual River Game: Gaming using models to collaboratively explore river management complexity15
A system dynamics model to support marine spatial planning in Algoa Bay, South Africa15
Coupling surface flow with high-performance subsurface reactive flow and transport code PFLOTRAN15
Heat wave tracker: A multi-method, multi-source heat wave measurement toolkit based on Google Earth Engine14
A cloud-based framework for sensitivity analysis of natural hazard models14
Web-based prototype system for flood simulation and forecasting based on the HEC-HMS model14
Modelling drivers of Brazilian agricultural change in a telecoupled world14
How to keep it adequate: A protocol for ensuring validity in agent-based simulation14
Incorporating Light Gradient Boosting Machine to land use regression model for estimating NO2 and PM2.5 levels in Kansai region, Japan14
An effective strategy for combining variance- and distribution-based global sensitivity analysis14
Toward more mechanistic representations of biogeochemical processes in river networks: Implementation and demonstration of a multiscale model14
Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes14
Spatial prediction of air pollution levels using a hierarchical Bayesian spatiotemporal model in Catalonia, Spain14
Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data14
Building level flood exposure analysis using a hydrodynamic model14
Using Bayesian optimization to automate the calibration of complex hydrological models: Framework and application14
A web-based analytical urban flood damage and loss estimation framework14
Regional-scale modeling of rainfall-induced landslides under random rainfall patterns13
Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages13
SWAT-S: A SWAT-salinity module for watershed-scale modeling of natural salinity13
The AirSensor open-source R-package and DataViewer web application for interpreting community data collected by low-cost sensor networks13
Impacts of off-road vehicle tracks on runoff, erosion and sediment delivery – A combined field and modeling approach13
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 Plateau13
Model-based integration of ecology and socio-economics for the management of biodiversity and ecosystem services: State of the art, diversity and current trends13
Considering scale within optimization procedures for water management decisions: Balancing environmental flows and human needs13
An open source reservoir and sediment simulation framework for identifying and evaluating siting, design, and operation alternatives13
A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies13
Towards fast prototyping of cloud-based environmental decision support systems for environmental scientists using R Shiny and Docker13
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs13
ForestFit: An R package for modeling plant size distributions13
Is VARS more intuitive and efficient than Sobol’ indices?13
Watershed scale evaluation of an improved SWAT auto-irrigation function13
A spatio-temporal land use regression model to assess street-level exposure to black carbon13
Evaluating the 10% wind speed rule of thumb for estimating a wildfire's forward rate of spread against an extensive independent set of observations13
APEX-MODFLOW: A New integrated model to simulate hydrological processes in watershed systems12
A multiple and ensembling approach for calibration and evaluation of genetic coefficients of CERES-Maize to simulate maize phenology and yield in Michigan12
A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate model- A case study in Qinglong River watershed, China12
A fractional land use change model for ecological applications12
Streamlined wildland-urban interface fire tracing (SWUIFT): Modeling wildfire spread in communities12
QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data12
Minimizing physical habitat impacts at downstream of diversion dams by a multiobjective optimization of environmental flow regime12
Towards a combined Landsat-8 and Sentinel-2 for 10-m land surface temperature products: The Google Earth Engine monthly Ten-ST-GEE system12
Evaluating crop-soil-water dynamics in waterlogged areas using a coupled groundwater-agronomic model12
Interoperability engine design for model sharing and reuse among OpenMI, BMI and OpenGMS-IS model standards12
A CUDA Fortran GPU-parallelised hydrodynamic tool for high-resolution and long-term eco-hydraulic modelling12
Hydrogeophysical model calibration and uncertainty analysis via full integration of PEST/PEST++ and COMSOL12
Introducing ‘riverconn’: an R package to assess river connectivity indices12
Unravelling groundwater time series patterns: Visual analytics-aided deep learning in the Namoi region of Australia12
V-FloodNet: A video segmentation system for urban flood detection and quantification12
Argument-based assessment of predictive uncertainty of data-driven environmental models12
Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI)12
A review of parallel computing applications in calibrating watershed hydrologic models12
The effect of the Deepwater Horizon oil spill on two ecosystem services in the Northern Gulf of Mexico12
Development of catchment water quality models within a realtime status and forecast system for the Great Barrier Reef12
Participatory modeling to assess the impacts of climate change in a Mediterranean vineyard watershed12
HydroLang: An open-source web-based programming framework for hydrological sciences12
Forecasting contrasting coastal and estuarine hydrodynamics with OPENCoastS12
Discussoo: Towards an intelligent tool for multi-scale participatory modeling11
Development of an interface-oriented add-in modeling framework for integrated water system simulation and its application11
Multi-scenario multi-objective robust optimization under deep uncertainty: A posteriori approach11
Predicting runoff series in ungauged basins of the Brazilian Cerrado biome11
Introductory overview: Systems and control methods for operational management support in agricultural production systems11
Calibration of hydrological models considering process interdependence: A case study of SWAT model11
A two-stage modelling method for multi-station daily water level prediction11
Predictive capacity of Ecopath with Ecosim: Model performance and ecological indicators’ response to imprecision11
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 hy11
A novel model for storage dynamics simulation and inundation mapping in the prairies11
Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting11
Guidance framework and software for understanding and achieving system robustness11
Unsupervised deep learning of landscape typologies from remote sensing images and other continuous spatial data11
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