Results 51 to 60 of about 576 (96)
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An Improved Aerosol Retrieval Algorithm for FY-4A/AGRI Data Based on the GRASP Framework
IEEE Transactions on Geoscience and Remote SensingAccurate satellite-derived aerosol optical depth (AOD) with high temporal resolution is crucial for monitoring diurnal aerosol variations and understanding their impacts on atmospheric processes and air quality.
Huaxuan Wang +8 more
semanticscholar +1 more source
Frontiers in Marine Science
Sea surface temperature (SST) diurnal variation is an important part of air-sea energy exchange, and its response to the Madden–Julian Oscillation (MJO) also helps in studying the development mechanism of the MJO.
Xianliang Zhang +3 more
semanticscholar +1 more source
Sea surface temperature (SST) diurnal variation is an important part of air-sea energy exchange, and its response to the Madden–Julian Oscillation (MJO) also helps in studying the development mechanism of the MJO.
Xianliang Zhang +3 more
semanticscholar +1 more source
Measurement science and technology
As a critical indicator of atmospheric water vapor content, precipitable water vapor (PWV) holds significant scientific value in global water cycle studies, climate change research, and extreme weather monitoring.
Zhihao Wang +5 more
semanticscholar +1 more source
As a critical indicator of atmospheric water vapor content, precipitable water vapor (PWV) holds significant scientific value in global water cycle studies, climate change research, and extreme weather monitoring.
Zhihao Wang +5 more
semanticscholar +1 more source
An Elevation-Coupled Multivariate Regression Model for GNSS-Based FY-4A Precipitable Water Vapor
Remote SensingThe measurement of atmospheric moisture content is essential for the monitoring of severe weather events and hydrological studies. This paper proposes a multivariate linear regression correction model that integrates elevation data with Global Navigation
Yaping Gao +5 more
semanticscholar +1 more source
Remote Sensing
Owing to their high vertical resolution, remote sensing data from meteorological satellite hyperspectral infrared sounders are well-suited for the identification, monitoring, and early warning of high-impact weather events.
Gen Wang +9 more
semanticscholar +1 more source
Owing to their high vertical resolution, remote sensing data from meteorological satellite hyperspectral infrared sounders are well-suited for the identification, monitoring, and early warning of high-impact weather events.
Gen Wang +9 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters
Thermal radiation directionality (TRD) describes the anisotropic signature in the thermal infrared domain, leading to significant uncertainties in current land surface temperature (LST) and surface upward longwave radiation (SULR) products.
Limeng Zheng +10 more
semanticscholar +1 more source
Thermal radiation directionality (TRD) describes the anisotropic signature in the thermal infrared domain, leading to significant uncertainties in current land surface temperature (LST) and surface upward longwave radiation (SULR) products.
Limeng Zheng +10 more
semanticscholar +1 more source
U-SwinFusionNet: High Resolution Snow Cover Mapping on the Tibetan Plateau Based on FY-4A
WaterThe Qinghai–Tibet Plateau (QTP), one of China’s most snow-rich regions, has an extremely fragile ecosystem, with drought being the primary driver of ecological degradation.
Xi Kan +6 more
semanticscholar +1 more source
2025 2nd International Conference on Electronic Engineering and Information Systems (EEISS)
Traditional atmospheric temperature and humidity profile acquisition predominantly relies on in-situ observational networks (e.g., surface stations, radiosondes), which exhibit inherent constraints including sparse spatial coverage, uneven geographic ...
Xinqiang Xu, Yonglun Wang, Yaqin Sun
semanticscholar +1 more source
Traditional atmospheric temperature and humidity profile acquisition predominantly relies on in-situ observational networks (e.g., surface stations, radiosondes), which exhibit inherent constraints including sparse spatial coverage, uneven geographic ...
Xinqiang Xu, Yonglun Wang, Yaqin Sun
semanticscholar +1 more source

