Hydrology and Climate Change Article Summaries

Environmental Modelling & Software

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Total articles tracked from this journal: 61

2026
Chu et al. (2026) An interpretable AutoML–SHAP approach for rapid urban pluvial flooding prediction
2026
Ventura et al. (2026) Optimizing canopy cover evaluation: A machine learning approach using LiDAR data
2026
Jahangir et al. (2026) A novel hybrid fine-tuning method for supercharging deep learning model development for hydrological prediction
2026
Ziveh et al. (2026) evapoRe: An R-based application for exploratory data analysis of evapotranspiration
2026
Arabzadeh et al. (2026) A surrogate-aided approach for accelerated Bayesian calibration of hydrologic models
2026
Ouyang et al. (2026) A python framework for differentiable hydrological modeling and research workflow automation
2026
Kim et al. (2026) Improved river transmission loss modelling for environmental flow releases during droughts
2026
He et al. (2026) Multi-scale feature fusion and uncertainty quantification in streamflow prediction: A temporal convolutional network approach with hybrid denoising
2026
Atreya et al. (2026) Towards an improved language for river data analysis: Demonstration for the highly-regulated Ohio River basin
2026
Xiao et al. (2026) Development of a web-based tool for rapid flood inundation modeling
2026
Gupta et al. (2026) SPAR-TC: A framework for accounting spatial representativeness in triple collocation
2026
Fereshtehpour et al. (2026) Development of an interactive web-based tool for flood risk analysis and climate–resilient road drainage design: RiskDRAIN
2026
Ai et al. (2026) A numerical modelling-supported digital twin for urban floods monitoring in typhoon or storm scenario
2026
Clark et al. (2026) Comment on Williams (2025): “Friends don't let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice”
2026
Ding et al. (2026) An ensemble method for integrating rainfall forecast products based on average mutual information decomposition
2026
Welsch et al. (2026) The importance of system interactions in hydrodynamic models of parts of complex interconnected deltas
2026
Rashid et al. (2026) The transformative role of artificial intelligence in water resources engineering: A comprehensive review
2026
Marinao et al. (2026) hydroMOPSO: A flexible and model-independent multi-objective optimisation R package for environmental and hydrological models
2026
Zheng et al. (2026) Cross-scale separation of climate and human impacts on runoff using a dual-step refined time-varying attribution model
2025
Bellos et al. (2025) An analytical methodology to assess epistemic uncertainty of 2D flood models under steady flow conditions
2025
Sattar et al. (2025) A coupled land use change-ecohydrological model for multi-seasonal arid agricultural systems: an Egyptian case study
2025
Sreeraj et al. (2025) Data-driven parameterization of SWAT+ reservoir module without access to operation rules
2025
Terzi (2025) PyDRGHT: A comprehensive python package for drought analysis
2025
Sarkar et al. (2025) Taming the non-linearity: An iterative conceptual routing model for improving flood peak prediction
2025
Masten et al. (2025) An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt
2025
Duangkhwan et al. (2025) Enhancing flood forecasting with deep learning: A scalable alternative to traditional hydrodynamic models
2025
Petropoulos et al. (2025) RegreSSM: A novel software tool for downscaling the SMAP L3 soil moisture operational product utilizing the Ts/VI feature space and Sentinel-3 data
2025
Yin et al. (2025) Meteorological observation research based on an improved EfficientNetV2 model
2025
Bisht et al. (2025) Development of a River Dynamical Core for E3SM to simulate compound flooding on Exascale-class heterogeneous supercomputers
2025
Gu et al. (2025) FloodTransformer: Efficient real-time high-resolution flood forecasting
2025
Bak et al. (2025) Development of a web-based No coding machine learning platform for hydrology and environmental management - MoolML
2025
Devoie et al. (2025) Modelling near-surface ice content and midwinter melt events in mineral soils
2025
Shi et al. (2025) A sub-seasonal to seasonal climate forecast informed irrigation scheduling tool for the Contiguous United States
2025
Yang et al. (2025) Hybrid high-dimensional vine copula–Bayesian network framework for flood risk analysis in reservoir–lake systems: Addressing multisource uncertainties
2025
Zhou et al. (2025) Bayesian-factorial analysis for unveiling multi-factor interactive effect on water demand in Central Asia
2025
Yang et al. (2025) Watershed boundary extraction from digital elevation models using RBM-SegNet
2025
Xin et al. (2025) A flexible, differentiable framework for neural-enhanced hydrological modeling: Design, implementation, and applications with HydroModels.jl
2025
Idowu et al. (2025) Open problems in uncertainty quantification for flood modelling: A systematic review
2025
Jayasuriya et al. (2025) The HYDRUS model for soil and water management: A brief review of capabilities, trends, and future directions
2025
Lee et al. (2025) Introducing NLCD-Imp: A QGIS plugin to better replicate urban characteristics in land use/cover maps for SWAT
2025
Wang et al. (2025) Interpretable deep learning hybrid streamflow prediction modeling based on multi-source data fusion
2025
Wang et al. (2025) Spatiotemporal correction of decision variables using XGBoost for multi-objective intelligent scheduling rule extraction model in reservoir-lake flood control systems
2025
Teng et al. (2025) Incorporating heat and water stress into BIOME-BGC to simulate the impact of extreme climate events on subtropical coniferous forest NEP
2025
Devi et al. (2025) A framework for the evaluation of flood inundation predictions over extensive benchmark databases
2025
Zhou et al. (2025) MSFlood-Net: A physically informed deep learning model integrating multi-source data for flood inundation mapping
2025
Gomes et al. (2025) A coupled Darcy–Richards framework for hydrological modeling of permeable pavements, green roofs, and bioretention systems
2025
Silver et al. (2025) rOPTRAM: An R package for satellite-derived soil moisture in rangelands using the OPTRAM model
2025
Amestoy et al. (2025) Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis
2025
Zhou et al. (2025) An efficient flow path traversal algorithm for watershed delineation from raster digital elevation models for multicore architectures
2025
Zeleke et al. (2025) Using a standardized event-based tool for drought analysis: Application to propagation predictability patterns
2025
Li et al. (2025) Investigating the effect of urban form on land surface temperature at block and grid scales based on XGBoost-SHAP
2025
Nguyen et al. (2025) Toward real-time high-resolution fluvial flood forecasting: A robust surrogate approach based on overland flow models
2025
Lima et al. (2025) STABLE: An open-source atmospheric blocking and subtropical ridge detection system
2025
Huerta et al. (2025) Enhancing daily precipitation reconstruction: An improved version of the reddPrec R package
2025
Saberian et al. (2025) HydroQuantum: A new quantum-driven Python package for hydrological simulation
2025
Kruskopf et al. (2025) ClimateServ: An open source earth observation climate data access tool
2025
Lorente-Ramos et al. (2025) Accurate calibration of hydrological models with evolutionary computation multi-method ensembles
2025
Kupzig et al. (2025) A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure
2025
Yu et al. (2025) A nudging-based data assimilation method coupled with bidirectional gated neural networks for error correction
2025
Diaz et al. (2025) Evaluation of daily stream temperature predictions (1979–2021) across the contiguous United States using a spatiotemporal aware machine learning algorithm
2025
Azedou et al. (2025) Ensemble deep learning towards high-resolution soil-moisture mapping for enhanced water management in California's Central Valley
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