Qingyu Mu
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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: Shifts in diurnal cycles of low and high clouds warm the climate: evidence from decadal satellite observations
Shifts in diurnal cycles of low and high clouds warm the climate: evidence from decadal satellite observations Open
Anticipated changes in the diurnal cloud cycle (DCC) under global warming carry significant implications for future climate predictions. However, there is a notable dearth of studies specifically focusing on DCC shifts. Here, we establish …
View article: Unraveling Aerosol and Low-Level Cloud Interactions Under Multi-Factor Constraints at the Semi-Arid Climate and Environment Observatory of Lanzhou University
Unraveling Aerosol and Low-Level Cloud Interactions Under Multi-Factor Constraints at the Semi-Arid Climate and Environment Observatory of Lanzhou University Open
The response of low-level cloud properties to aerosol loading remains ambiguous, particularly due to the confounding influence of meteorological factors and water vapor availability. We utilize long-term data from Ka-band Zenith Radar, Clo…
View article: Disentangling Global Dust‐High Cloud Nonlinear Interactions Through Multivariate Meteorological Constraints Framework
Disentangling Global Dust‐High Cloud Nonlinear Interactions Through Multivariate Meteorological Constraints Framework Open
Dust aerosols, highly efficient ice nucleating particles, significantly influence high cloud properties, thereby impacting climate. As global warming and aridification are projected to increase dust emissions, understanding dust‐high cloud…
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: 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…