Environmental Modelling & Software

Papers
(The H4-Index of Environmental Modelling & Software is 38. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model377
Fine-tuning the BFOLDS Fire Regime Module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape199
Editorial Board151
Editorial Board139
Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics123
Conditional interval reduction method: A possible new direction for the optimization of process based models90
Towards an improved language for river data analysis: Demonstration for the highly-regulated Ohio River basin90
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 Plains87
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction70
RiverSTICH: Sewing together 3D rivers from only a few loose threads of transect data69
A Comprehensive Chemistry Evaluation and Diagnostics Package for E3SM – ChemDyg Version 1.1.065
An ontology-driven query system for mineral identification in virtual geoscience labs63
Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion63
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data60
What drives reservoir infrastructure upgrade decisions under deep uncertainty?55
Challenges and opportunities when bringing machines onto the team: Human-AI teaming and flood evacuation decisions53
The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation53
Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea52
Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis52
Assessing the hillslope-channel contributions to the catchment sediment balance under climate change51
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward?50
An integrated, mesh-independent geothermal modelling framework48
Community-oriented data integration and communication framework for streamflow forecast models and flood inundation map products47
Hydrological and hydrodynamic decision support tools for assessing nature-based flood solutions: Technical modelling recommendations and challenges47
SARvey - survey with SAR: A new Open-Source InSAR Research Software47
Uncertainty estimation for environmental multimodel predictions: The BLUECAT approach and software46
Crop modeling frameworks interoperability through bidirectional source code transformation46
Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models45
A coupled multiscale description of seasonal Physical–BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone43
Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea43
Models and the common good43
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms43
Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States43
Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework42
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications40
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model40
New GIS tools for wind fetch analysis: A case study of changes in wave exposure in Isfjorden (Svalbard) due to reduced fast ice coverage39
A post-processing machine learning framework for bias-correcting National Water Model outputs by accounting for dominant streamflow drivers38
0.1775369644165