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BibEntryCargo > BibType: conferencePaper & Journal: None & Note : Auto downloaded ref at: 2021-01-11 or Auto downloaded ref at: 2021-10-01

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A Hybrid Decomposition Parallel Algorithm for Multi-scale Simulation of Viscoelastic Fluids (1) · A SWAT/Microbial Sub-Model for Predicting Pathogen Loadings in Surface and Groundwater at Watershed and Basin Scales (1) · A meta-model for soil carbon stock in agricultural soils (1) · About the Suitability of Clouds in High-Performance Computing (1) · An Extension of the Dynamic Mesh Handling with Topological Changes for LES of ICE in OpenFOAM ® (1) · Application of Unstructured-Grid Finite Volume Coastal Ocean Model (FVCOM) to the Gulf of Mexico hypoxie zone (1) · Benchmarks and profiling of the WRF model within the Hydro-Meteorological Observatory of the Province of Cordoba (1) · Dynamic state of drainage divide and river network of Bohol, a tropical island in the Central Visayas Region, Philippines (1) · Effect of High Resolution Winds on Wind-Wave Simulations in Arabian Gulf (1) · Environment Prediction from Sparse Samples for Robotic Information Gathering (1) · Establishment of a Delaware Bay Model Evaluation Environment (1) · Flood routing model using integration of Delft3D and GIS (case study: Tanggul watershed, Jember) (1) · Numerical wave tank modelling of regular waves propagation using OpenFOAM (1) · Optimal Placement of Conservation Practices using Genetic Algorithm with SWAT (1) · Real-time data assimilation of ice concentration into a coupled ice/ocean forecast system (1) · Rip currents and rip channel morphodynamics under quasi-steady conditions (1) · Sensitivity of Delft3D to input conditions (1) · Simulating hurricane Gustav and Ike wave fields along the Louisiana innershelf: Implementation of an unstructured third-generation wave model, SWAN (1) · The Worldwide Use of the SWAT Model: Technological Drivers, Networking Impacts, and Simulation Trends (1) · UNCERTAINTY QUANTIFICATION IN A TWO-DIMENSIONAL RIVER HYDRAULIC MODEL (1) · Wave Height Prediction based on Wind Information by using General Regression Neural Network, study case in Jakarta Bay (1)
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