Dongwei Fu

Video Diffusion for Satellite-based High-Dynamical-Fidelity Precipitation (HiDFiP) Field Generation

Runze Li, Yan Xia, Yongquan Qu, Dongwei Fu et autres

High spatiotemporal fidelity precipitation products that accurately capture storm spatial organization, propagation, and lifecycle evolution, are essential for advancing hydrometeorological research and operations at regional and global scales. Satellite products offer the only near-global precipitation observations, but they still fall short of …

Delaminating the Marine Atmospheric Boundary and Saharan Air Layers: Observations and modeling by MAGPIE to understand marine boundary and lower free troposphere layer inhomogeneity over the Northwest Tropical Atlantic

Jeffrey S. Reid, Joshua H. Cossuth, Cassandra J. Gaston, Robert E. Holz et autres

Abstract Simplifying the atmosphere into discrete layers, such as the Marine Atmospheric Boundary Layer (MABL) and its surface, mixed, and detrainment layers, as well as the Saharan Air Layer (SAL) aloft, is necessary in maritime meteorological modeling and data analysis. However, data …

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Validating Machine Learning Retrievals of the Cloud‐Top Droplet Effective Radius Over Oceans That Account for 3D Radiative Transfer Effects

Jesse Loveridge, Dongwei Fu, Larry Di Girolamo

Abstract Bispectral retrievals of the droplet effective radius ( r e ) from instruments such as MODIS are widely utilized to study cloud microphysics in marine boundary layer clouds. These retrievals are known to have systematic errors due to cloud heterogeneity. Here, …

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Botnet Traffic Detection via Deep Neural Networks with Multi-Category Feature Fusion and Multi-Head Self-Attention Mechanism

Dongwei Fu, Hao Chen, Qiang He, Zhaoxin Zhang et autres

With the continuous evolution of botnet attack techniques, traditional detection methods based on signature matching and single-feature analysis are increasingly inadequate in handling complex and dynamic network threats, resulting in limited accuracy and robustness. Effectively integrating heterogeneous features from multiple sources to …

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Validating Machine-Learning Retrievals of Cloud Droplet Effective Radius Over Ocean that Account for 3D Radiative Transfer Effects

Jesse Loveridge, Dongwei Fu, Larry Di Girolamo

Bi-spectral retrievals of droplet effective radius (re) from instruments such as MODIS are widely utilized to study cloud microphysics in marine boundary layer clouds. These retrievals are known to have systematic errors due to cloud heterogeneity. Here, we develop a neural-network regression …

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Influence of natural and anthropogenic aerosols on cloud base droplet size distributions in clouds over the South China Sea and West Pacific

Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza et autres

Abstract. Cumulus clouds are common over maritime regions. They are important regulators of the global radiative energy budget and global hydrologic cycle, as well as a key contributor to the uncertainty in anthropogenic climate change projections due to uncertainty in aerosol–cloud interactions. …

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Human-computer Interaction Gesture Control Recognition for High-performance Embedded AI Computing Platform

Dongwei Fu

This article mainly introduces a gesture control recognition method based on embedded AI computing platform, which uses infrared cameras and AI processing units to recognize and track gestures. Using infrared cameras as detection tools can achieve low-cost, easy-to-use and other characteristics. In …

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An Interval Prediction Model for Algal Blooms with Mixed Uncertainty

Dongwei Fu

The uncertainty of bloom outbreak is an important problem in the process of bloom prediction. In this paper, an interregional prediction model for algal blooms with mixed uncertainty is established by considering the uncertainties in the prediction process. Firstly, the Pearson correlation …

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The Application of “AI+5G Network” in the Treatment and Control of Major Epidemics

Dongwei Fu

A comprehensive study of the support function of "AI+5G" information technology in the treatment, prevention and control during the pandemic period has been carried out, especially in the case of the shortage of medical resources nationwide and the sharp increase in the …

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Comment on egusphere-2022-1429

Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza et autres

Abstract. Cumulus clouds are common over maritime regions. They are important regulators of the global radiative energy budget and global hydrologic cycle, and a key contributor to the uncertainty in anthropogenic climate change projections due to uncertainty in aerosol-cloud interactions. These interactions …

us (code pays fourni par la source)

Comment on egusphere-2022-1429

Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza et autres

Abstract. Cumulus clouds are common over maritime regions. They are important regulators of the global radiative energy budget and global hydrologic cycle, and a key contributor to the uncertainty in anthropogenic climate change projections due to uncertainty in aerosol-cloud interactions. These interactions …

us (code pays fourni par la source)

Influence of natural and anthropogenic aerosol on cloud base droplet size distributions in clouds over the South China Sea and Western Pacific

Rose Marie Miller, Robert M. Rauber, Larry Di Girolamo, Matthew Rilloraza et autres

Abstract. Cumulus clouds are common over maritime regions. They are important regulators of the global radiative energy budget and global hydrologic cycle, and a key contributor to the uncertainty in anthropogenic climate change projections due to uncertainty in aerosol-cloud interactions. These interactions …

us (code pays fourni par la source)