id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-28823	Li, Mengnan	Machine Learning-Based Calibration Study of MERSI-II Atmospheric Precipitable Water Vapor Product	2024	4	.pdf	application/pdf	2576	107	48	Due to the influence of spatial scale, the atmospheric precipitable water content in different regions fluctuates very much, so it is very difficult to obtain atmospheric precipitable water content with high accuracy, and the absence of high-precision and real- time atmospheric precipitable water information data will inevitably cause obstacles to the further development of the weather changes and the climate forecasting system This processing can be extended to correct other satellite atmospheric products as well.	cache/ajst-28823.pdf	txt/ajst-28823.txt