Environmental Modelling & Software

Papers
(The H4-Index of Environmental Modelling & Software is 36. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model301
Editorial Board189
Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework121
Assessing the hillslope-channel contributions to the catchment sediment balance under climate change113
A Comprehensive Chemistry Evaluation and Diagnostics Package for E3SM – ChemDyg Version 1.1.0106
Challenges and opportunities when bringing machines onto the team: Human-AI teaming and flood evacuation decisions99
Conditional interval reduction method: A possible new direction for the optimization of process based models81
A post-processing machine learning framework for bias-correcting National Water Model outputs by accounting for dominant streamflow drivers78
An integrated, mesh-independent geothermal modelling framework77
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model66
New GIS tools for wind fetch analysis: A case study of changes in wave exposure in Isfjorden (Svalbard) due to reduced fast ice coverage64
Fine-tuning the BFOLDS Fire Regime Module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape60
Crop modeling frameworks interoperability through bidirectional source code transformation58
Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models56
Particle filter for high frequency oxygen data assimilation in river systems51
Uncertainty estimation for environmental multimodel predictions: The BLUECAT approach and software50
Models and the common good49
XR-based interactive visualization platform for real-time exploring dynamic earth science data48
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications48
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction46
Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics45
Editorial Board45
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data43
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward?42
Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea42
Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion41
Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea41
A coupled multiscale description of seasonal Physical–BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone41
Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States41
HyPix: 1D physically based hydrological model with novel adaptive time-stepping management and smoothing dynamic criterion for controlling Newton–Raphson step40
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms40
An ontology-driven query system for mineral identification in virtual geoscience labs40
What drives reservoir infrastructure upgrade decisions under deep uncertainty?38
Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model38
Effects of rising CO2 concentrations on water dynamics and yields for C3 and C4 crops under both irrigated and dryland conditions in the Texas High Plains37
Towards an improved language for river data analysis: Demonstration for the highly-regulated Ohio River basin37
Operational digital twin for multi-hazard coastal flood prediction with adaptive learning: Real-time performance in the Chesapeake Bay36
The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation36
PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management36
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