气候变化领域集成服务门户(CCPortal): First PWV Retrieval Using MERSI-LL Onboard FY-3E and Cross Validation With Co-Platform Occultation and Ground GNSS

CCPortal

DOI	10.1029/2024GL108681
	First PWV Retrieval Using MERSI-LL Onboard FY-3E and Cross Validation With Co-Platform Occultation and Ground GNSS
	Jiang, Nan; Wu, Yuhao; Li, Song; Xu, Yan; Wang, Yubo; Xu, Tianhe
发表日期	2024
ISSN	0094-8276
EISSN	1944-8007
起始页码	51
结束页码	8
卷号	51 期号:8
英文摘要	FY-3E plays a vital role in the meteorological global earth observing system. Precipitable water vapor (PWV) is an essential parameter for the water cycle and global climate change. Here, we carry out the PWV retrieval using the MERSI-LL sensor onboard the FY-3E satellite for the first time. The retrieval accuracy under different cloudage conditions is validated by the extra PWV from ground-based GNSS and spaceborne occultation. For the results against ground-based GNSS, the total accuracy shows an RMSE of 2.69-3.36 mm as the clouds increase, and correlation coefficients higher than 0.95. The spatial accuracy distribution indicates that inland stations have higher accuracy than the coast and island stations. As for the results against spaceborne occultation, the verification accuracy varies with the spatial pairing distance, showing poor accuracy in the low latitude area. This study can provide an essential reference for the community to understand the current water vapor inversion performance of MERSI-LL. Fengyun 3E (FY-3E), as the world's first civilian early morning (EM) orbit meteorological remote sensing satellite, plays an important role in filling the EM-orbit gap in the global earth observing system. Precipitable water vapor (PWV) is crucial for understanding the process of water cycle, global climate change, and numerical weather prediction. This study exhibits the first attempt to retrieve PWV using the MERSI-LL sensor onboard the FY-3E satellite. The accuracy of the PWV retrieval under different cloud conditions is validated by ground-based GNSS and spaceborne occultation data. Results from the comparisons with ground-based GNSS data reveal that RMSE ranges from 2.69 to 3.36 mm as cloud increases, with correlation coefficients higher than 0.95. Furthermore, the spatial distribution of accuracy indicates that inland stations exhibited higher precision than coastal and island stations. The verification accuracy against spaceborne occultation decreases as the spatial pairing distance increases, and the results reveal that poor accuracy occurs in the low latitude area. This study provides crucial insights into the water vapor retrieval of MERSI-LL, which will be valuable for the scientific community in understanding the current capabilities of this sensor. First time to retrieve Precipitable water vapor (PWV) with FY-3E MERSI-LL data under all weather conditions Retrieval accuracy was cross-validated both with co-platform occultation and ground GNSS Random Forest (RF) method with the advantage of high accuracy and stability was applied to retrieve PWV
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001205256700001
来源期刊	GEOPHYSICAL RESEARCH LETTERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/292313
作者单位	Shandong University
推荐引用方式 GB/T 7714	Jiang, Nan,Wu, Yuhao,Li, Song,et al. First PWV Retrieval Using MERSI-LL Onboard FY-3E and Cross Validation With Co-Platform Occultation and Ground GNSS[J],2024,51(8).
APA	Jiang, Nan,Wu, Yuhao,Li, Song,Xu, Yan,Wang, Yubo,&Xu, Tianhe.(2024).First PWV Retrieval Using MERSI-LL Onboard FY-3E and Cross Validation With Co-Platform Occultation and Ground GNSS.GEOPHYSICAL RESEARCH LETTERS,51(8).
MLA	Jiang, Nan,et al."First PWV Retrieval Using MERSI-LL Onboard FY-3E and Cross Validation With Co-Platform Occultation and Ground GNSS".GEOPHYSICAL RESEARCH LETTERS 51.8(2024).