Environmental Modelling & Software

Papers
(The H4-Index of Environmental Modelling & Software is 40. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation161
Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion136
Challenges and opportunities when bringing machines onto the team: Human-AI teaming and flood evacuation decisions118
A coupled multiscale description of seasonal Physical–BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone110
Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics99
XR-based interactive visualization platform for real-time exploring dynamic earth science data91
Editorial Board81
HyPix: 1D physically based hydrological model with novel adaptive time-stepping management and smoothing dynamic criterion for controlling Newton–Raphson step80
How do the properties of training scenarios influence the robustness of reservoir operating policies to climate uncertainty?76
Spatio-temporal estimation of monthly groundwater levels from GPS-based land deformation74
Uncertainty estimation for environmental multimodel predictions: The BLUECAT approach and software74
Models and the common good68
Editorial Board67
PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management65
Developing best practice guidelines for lake modelling to inform quantitative microbial risk assessment64
Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data61
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction60
Conditional interval reduction method: A possible new direction for the optimization of process based models60
Fine-tuning the BFOLDS Fire Regime Module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape59
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data59
A post-processing machine learning framework for bias-correcting National Water Model outputs by accounting for dominant streamflow drivers54
Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea53
Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States52
Assessing the representational accuracy of data-driven models: The case of the effect of urban green infrastructure on temperature52
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications52
Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework48
An automatic partition-based parallel algorithm for grid-based distributed hydrological models46
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model46
Assessing the hillslope-channel contributions to the catchment sediment balance under climate change46
A Comprehensive Chemistry Evaluation and Diagnostics Package for E3SM – ChemDyg Version 1.1.046
Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea45
Particle filter for high frequency oxygen data assimilation in river systems45
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat44
An integrated, mesh-independent geothermal modelling framework44
Crop modeling frameworks interoperability through bidirectional source code transformation44
Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model42
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms41
Bridging existing energy and chemical transport models to enhance air quality policy assessment41
Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models41
Editorial Board41
Modelling invasive alien plant distribution: A literature review of concepts and bibliometric analysis40
Editorial Board40
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