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 2021-09-01 to 2025-09-01.)
ArticleCitations
Inversion and forward estimation with process-based models: An investigation into cost functions, uncertainty-based weights and model-data fusion149
A post-processing machine learning framework for bias-correcting National Water Model outputs by accounting for dominant streamflow drivers136
A physics-based model of thermodynamically varying fuel moisture content for fire behavior prediction131
Uncertainty estimation for environmental multimodel predictions: The BLUECAT approach and software121
An automatic partition-based parallel algorithm for grid-based distributed hydrological models100
Developing best practice guidelines for lake modelling to inform quantitative microbial risk assessment84
XR-based interactive visualization platform for real-time exploring dynamic earth science data83
Editorial Board83
Spatio-temporal estimation of monthly groundwater levels from GPS-based land deformation74
Models and the common good73
Editorial Board69
Automatic procedure for selecting flood events and identifying flood characteristics from daily streamflow data68
Synthetic random environmental time series generation with similarity control, preserving original signal’s statistical characteristics67
Conditional interval reduction method: A possible new direction for the optimization of process based models66
The Dynamic Temperate and Boreal Fire and Forest-Ecosystem Simulator (DYNAFFOREST): Development and evaluation66
Fine-tuning the BFOLDS Fire Regime Module to support the assessment of fire-related functions and services in a changing Mediterranean mountain landscape65
An efficient data-driven method for isolating dry-weather flow from total combined sewer flow data64
Enhancing rainfall frequency analysis through bivariate nonstationary modeling in South Korea63
A Comprehensive Chemistry Evaluation and Diagnostics Package for E3SM – ChemDyg Version 1.1.061
The Danish Lagrangian Model (DALM): Development of a new local-scale high-resolution air pollution model59
Particle filter for high frequency oxygen data assimilation in river systems56
Challenges and opportunities when bringing machines onto the team: Human-AI teaming and flood evacuation decisions55
Crop modeling frameworks interoperability through bidirectional source code transformation55
HyPix: 1D physically based hydrological model with novel adaptive time-stepping management and smoothing dynamic criterion for controlling Newton–Raphson step53
RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat52
A coupled multiscale description of seasonal Physical–BioGeoChemical dynamics in Southern Ocean Marginal Ice Zone49
Analysis and comparison of coupled and uncoupled simulations with the COAWST model during the Gloria Storm (January 2020) in the northwestern Mediterranean Sea49
Assessing the hillslope-channel contributions to the catchment sediment balance under climate change48
New GIS tools for wind fetch analysis: A case study of changes in wave exposure in Isfjorden (Svalbard) due to reduced fast ice coverage47
Enhancing forest ecosystem simulation in the TASC model through the integration of the DAYCENT forest model46
Why is arid zone hydrology a scientific desert - and how does the hydrological community move forward?46
An integrated, mesh-independent geothermal modelling framework46
Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms46
FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications45
Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models44
PyCHAMP: A crop-hydrological-agent modeling platform for groundwater management42
Replicating measured site-scale soil organic carbon dynamics in the U.S. Corn Belt using the SWAT-C model41
Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States41
Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework41
Editorial Board40
0.29455709457397