Results 61 to 70 of about 576 (96)
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Cross‐Calibrated FY‐4A and GOES‐15 Data for >2 MeV Electron Flux Prediction at Geosynchronous Orbit: A Machine Learning Approach

Space Weather
High‐energy electrons in Earth's outer radiation belt pose a significant threat to orbiting spacecraft, accurately forecasting these fluxes is crucial for mitigating potential damage.
Yibo Zhao   +14 more
semanticscholar   +1 more source

Evaluation of FY-4A AGRI Total Precipitable Water Products Utilizing Ground-Based GNSS Measurements

IEEE International Geoscience and Remote Sensing Symposium
Understanding both the spatial and temporal variations of atmospheric water vapor is crucial for forecasting regional weather and comprehending the global climate system.
Yuanyuan Wang   +2 more
semanticscholar   +1 more source

Improved Daytime Cloud Detection Algorithm in FY-4A’s Advanced Geostationary Radiation Imager

Atmosphere
Cloud detection is an indispensable step in satellite remote sensing of cloud properties and objects under the influence of cloud occlusion. Nevertheless, interfering targets such as snow and haze pollution are easily misjudged as clouds for most of the ...
Xiao Zhang, Song Zhao, Ruishu Tang
semanticscholar   +1 more source

Construction of a High-Resolution Temperature Dataset at 40–110 KM over China Utilizing TIMED/SABER and FY-4A Satellite Data

Atmosphere
This study aims to develop a high-resolution temperature dataset from 40 km to 110 km over China by machine learning techniques, with a horizontal resolution of 0.5° × 0.5° and vertical resolution of 1 km, utilizing measurements from SABER onboard the ...
Qian Ye   +3 more
semanticscholar   +1 more source

On-orbit radiometric calibration monitoring of FY-4A AGRI based on lunar observations

International Journal of Remote Sensing
This study proposes a lunar calibration methodology to quantify the on-orbit radiometric degradation of Fengyun-4A (FY-4A) Advanced Geostationary Radiation Imager (AGRI).
Wen Lu   +5 more
semanticscholar   +1 more source

Comparison of Cloud Top Height Measured by Ground Observations and FY-4A Satellite at Xianghe Observatory, China

IEEE International Geoscience and Remote Sensing Symposium
As an important factor influencing weather and climate change, clouds have always been associated with a high degree of uncertainty due to their complexity and variability.
Wenying He   +4 more
semanticscholar   +1 more source

A Multi-Stage Deep Learning Framework for Multi-Source Cloud Top Height Retrieval from FY-4A/AGRI Data

Atmosphere
Cloud Top Height (CTH), defined as the altitude of the highest cloud layer above mean sea level, is a crucial geophysical parameter for quantifying cloud radiative effects, analyzing severe weather systems, and improving climate models.
Yinhe Cheng   +6 more
semanticscholar   +1 more source

Impacts of Vertical Resolution and Diurnally Varying Background Error Covariance on FY-4A/AGRI Data Assimilation over Land

Monthly Weather Review
This study aims at improving the assimilation of Fengyun-4A (FY-4A)/Advanced Geostationary Radiation Imager (AGRI) clear-sky surface-sensitive brightness temperature over land using the Weather Research and Forecasting and the Gridpoint Statistical ...
Xin Li, Xiaolei Zou, Xu Xu, Weiguang Liu
semanticscholar   +1 more source

Comparison of Cloud/Rain Band Structures Between High‐Resolution Numerical Simulation of Typhoon Lekima (2019) and FY‐4A Advanced Geostationary Radiation Imager Observations

Journal of Geophysical Research: Atmospheres
Higher cloud top and stronger convection within Typhoon Lekima (2019) corresponds to lower brightness temperature (TB) from Fengyun‐4A (FY‐4A) Advanced Geostationary Radiation Imager (AGRI) observations. In this study, an effort is made to see if all‐sky
Mingming Bi, X. Zou
semanticscholar   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

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