Bochun Liu
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View article: A New Classification of In Situ and Anvil Cirrus Clouds Uncovers Their Properties and Interhemispheric Connections
A New Classification of In Situ and Anvil Cirrus Clouds Uncovers Their Properties and Interhemispheric Connections Open
The challenge of distinguishing convective anvil cirrus from in situ cirrus has long limited the quantification of their distinct roles in regulating upper‐tropospheric moisture and modulating Earth's energy budget. In this study, we addre…
View article: Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning
Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning Open
Clouds play a pivotal role in the global radiation budget and energy cycle, making accurate cloud detection via satellite remote sensing essential for understanding their evolutions. However, existing machine learning-based cloud detection…
View article: Multi-Constraint Analysis Reveals Distinct Aerosol Effects on High Cloud Properties at Sacol and Sgp Sites
Multi-Constraint Analysis Reveals Distinct Aerosol Effects on High Cloud Properties at Sacol and Sgp Sites Open
View article: Characteristics of Cirrus Clouds from Different Formation Mechanisms
Characteristics of Cirrus Clouds from Different Formation Mechanisms Open
Cirrus clouds, formed through various atmospheric processes, vary in distribution and microphysical properties, playing distinct roles in regulating Earth’s radiative balance. This study examined the characteristics of cirrus clouds formed…
View article: AWA-GCN: Enhancing Chinese sentiment analysis with a novel GCN model for Triplet and Quadruplet Extraction at SIGHAN 2024 dimABSA Task
AWA-GCN: Enhancing Chinese sentiment analysis with a novel GCN model for Triplet and Quadruplet Extraction at SIGHAN 2024 dimABSA Task Open
This study presents the AWA-GCN (Attention-Weighted Affine with Graph Convolutional Networks) model, a new method designed exclusively for the SIGHAN 2024 Chinese Dimensional Aspect-Based Sentiment Analysis (dimABSA) Task. This test requir…
View article: Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset
Fusing Multisource A-Train Satellites and Reanalysis Data for a Comprehensive Deep Convective System Dataset Open
Deep convective systems (DCSs) play a crucial role in global water cycles, energy distribution, and extreme weather events. This study aims to enhance the understanding of DCSs by creating a comprehensive dataset through the fusion of mult…