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Assessing a machine learning-based downscaling framework for obtaining 1km daily precipitation from GPM data. [PDF]
Sun T, Yan N, Zhu W, Zhuang Q.
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The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events. [PDF]
Mallard MS +5 more
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Exploring the Antarctic sky: Dome A's astronomical endeavors in 2024 and beyond. [PDF]
Li Z, Li Y, Jiang P.
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Contrasting boundary-layer energy budgets during daytime, nighttime, and compound heatwaves in eastern China. [PDF]
Duan Z, Fan S, Zhang Y, Ji T.
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Two-Step Precipitable Water Vapor Fusion Method
IEEE Transactions on Geoscience and Remote Sensing, 2022Precipitable water vapor (PWV) is one of the key parameters in the evolution of extreme weather and climate change. However, current data fusion methods (such as Gaussian Processes, Spherical Cap Harmonics and polynomial fitting) can hardly obtain simultaneously the PWV map with high precision and high spatio-temporal resolution. To solve this problem,
Qingzhi Zhao +4 more
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A Drought Monitoring Method Based on Precipitable Water Vapor and Precipitation
Journal of Climate, 2020Abstract Precipitable water vapor (PWV) with high precision and high temporal resolution can be obtained based on the global navigation and satellite positioning system (GNSS) technique, which is important for GNSS in disaster prevention and mitigation.
Qingzhi Zhao +4 more
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Increasing trend of Precipitable Water Vapor in Antarctica and Greenland
2022<p>Polar precipitable water vapor (PWV) is expected to increase under a warming climate. However, the conventional approach cannot provide sufficient long-term PWV records due to the high maintenance costs. Fortunately, the exponential explosion in the number of geodetic-quality Global Navigation Satellite System (GNSS) stations has ...
Junsheng Ding, Junping Chen, Wenjie Tang
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Inversion of precipitable water vapor in Hongkong
2008 International Workshop on Earth Observation and Remote Sensing Applications, 2008GPS data of August in 2004 obtained from 4 sites in Hong Kong GPS/MET network has been used to inverse the precipitable water vapor. The inversed GPS integrated water vapor has 1.44 mm RMSE and 0.97 mm BIAS compared with that from radiosonde data in Hong Kong Observatory, which shows good agreement between them.
null Jingjing Xu +3 more
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