ScienceDirect Publication: Environmental Modelling & Software rss.sciencedirect.com

The ODE ( O verview, D ata, and E xecution) protocol for a standardized use of machine learning in environmental,...

sciencedirect.com·13w

Parallelization of the Estuarine Saltwater Intrusion Numerical Forecast Model UFDECOM-i Using Fortran DO CONCURRENT

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A Stepwise Back-Correction Function for Precipitation Representation in Hydrologic Models

sciencedirect.com·13w

Computer vision in flash flood forecasting: A narrative review of applications, integration pathways, and future directions

sciencedirect.com·13w

Climate Risk STAC: A living metadata catalog of geospatial data for climate risk assessments

sciencedirect.com·14w

Editorial Board

sciencedirect.com·14w

STPredict: A python package automizing spatio-temporal predictions

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A Surrogate-Assisted Calibration Framework for Computationally Expensive Urban Fluvial Flood Models

sciencedirect.com·14w

Development of a hybrid Bayesian-Hyperband optimization procedure: GeoAI-driven hyperparameter tuning of AdaBoost for enhancing Mineral Prospectivity Mapping

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evapoRe: An R-based application for exploratory data analysis of evapotranspiration

sciencedirect.com·15w

Advancing Water Level Prediction Using Clustering-based Machine Learning Techniques in Data-Scarce Regions

sciencedirect.com·16w

A Transformer-Based Neural Network for Global Short-Range Dust Forecasting

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Regional vs local LSTM models for short-term streamflow forecasting under operational constraints

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A Surrogate-Aided Approach for Accelerated Bayesian Calibration of Hydrologic Models

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A Python Framework for Differentiable Hydrological Modeling and Research Workflow Automation

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Modeling hydrologic response to wildfires in the Pacific Northwest with a modified calibration technique

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A Catalogue of Do’s and Don’ts in the Modeling of Environmental Systems

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Operational digital twin for multi-hazard coastal flood prediction with adaptive learning: Real-time performance in the Chesapeake Bay

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ADAPT: A novel IoT-driven analytical data assimilation method based on phase-space tuning for long-sequence water quality forecasting

sciencedirect.com·17w

Data-driven approach to robust spatio-temporal assessment of carbon fluxes using Earth observation and ground-based data

sciencedirect.com·17w

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