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Open access Sep 2026

Resolving the Physical Ambiguity of Passive Infrared Cloud Optical Thickness Retrievals With Microwave Observations

Satellite thermal infrared (TIR) observations, combined with machine‐learning methods, enable nighttime retrievals of cloud optical thickness (COT), but their cloud‐top‐dominated radiances provide ambiguous information for optically thick clouds. Passive microwave (MW) observations provide complementary sensitivity to...

Chao Liu, Xia-Oou Sun, Yi-Kun Yang et al. · 0 citations
Aug 2026

Exploring Satellite Visible Band Observations for Quantitative Precipitation Estimation

Accurate high‐resolution precipitation information is essential for hydrologic modeling, extreme‐event monitoring, and climate assessment, yet, conventional satellite precipitation products are often constrained by the relatively coarse spatial resolution of infrared and microwave observations. We present a quantitativ...

Yan-An Liu, Xinjian Ma, Xiao-Rong Fang et al. · 0 citations
Open access 2026

Assessment of FY-3F MERSI-III Cloud Optical Thickness and Cloud Effective Radius Over Polar Regions

Polar clouds play a crucial role in Arctic amplification and the surface radiation budget in a warming climate. However, accurate retrievals of cloud optical thickness (COT) and cloud effective radius (CER) over polar regions remain challenging because snow and ice surfaces have high and variable reflectance, solar-vie...

Ran-Hui Xu, Chao Liu, Di Di et al. · 0 citations
Open access Aug 2026

YRD1km: A 1-km Hourly High-Resolution Regional Reanalysis Dataset over the Yangtze River Delta with Emphasis on Thermodynamic Structure

High-resolution atmospheric thermodynamic information is essential for resolving localized weather processes in complex urbanized regions such as the Yangtze River Delta (YRD). However, existing global reanalysis products are limited by coarse spatial resolution, constraining their ability to represent fine-scale the...

Yan-An Liu, Zheng-Yan Zhang, Tian-Yue Zeng et al. · 0 citations

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