EVALUATION OF THE FOUR-DIMENSIONAL ENSEMBLE-VARIATIONAL HYBRID DATA ASSIMILATION WITH SELF-CONSISTENT REGIONAL BACKGROUND ERROR COVARIANCE FOR IMPROVED HURRICANE INTENSITY FORECASTS

Evaluation of the Four-Dimensional Ensemble-Variational Hybrid Data Assimilation with Self-Consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts

The feasibility of a hurricane initialization framework based on the Gridpoint Statistical Interpolation (GSI)-based four-dimensional ensemble-variational (GSI-4DEnVar) hybrid data assimilation system for the Hurricane Weather Research and Forecasting model (HWRF) model is evaluated in this study.The system considers the temporal evolution of error

read more

Rheological and Strength Behavior of Binary Blended SCC Replacing Partial Fine Aggregate with Plastic E-Waste as High Impact Polystyrene

Disposing electronic plastic waste into construction materials is an eco-friendly and energy efficient solution to protect the environment.This work is aimed at enhancing the strength of self-compacting concrete (SCC) replacing sand with electronic waste, namely, High Impact polystyrene (HIPS) plastic granules and cementitious material with fly ash

read more

Design and Analysis of Ultra-Precision Smart Cutting Tool for In-Process Force Measurement and Tool Nanopositioning in Ultra-High-Precision Single-Point Diamond Turning

Ultra-high-precision single-point diamond turning (SPDT) is the state-of-the-art machining technology for the advanced manufacturing of critical components with an optical surface finish and surface roughness down to one nanometer.One of the critical factors that directly affects the quality of the diamond-cutting process is the cutting force.Incre

read more


A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling

In recent years, the number of smart objects connected through the Internet of Things (IoT) has increased significantly.These smart objects are susceptible to cybersecurity threats and are easily affected by IoT malware.Malwares, if not detected, can harm here different components of the IoT: smart objects, communication network, and the applicatio

read more