利用SIRGAS-CON产品进行卫星测高的湿对流层校正

IF 0.9 Q4 REMOTE SENSING Journal of Geodetic Science Pub Date : 2022-01-01 DOI:10.1515/jogs-2022-0146
A. Prado, Telmo Vieira, N. Pires, M. Fernandes
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引用次数: 0

摘要

湿对流层校正(WTC)是卫星测高所需要的一种校正,其主要原因是大气水汽的延迟。机载微波辐射计(MWR)为估计WTC提供了信息,但在沿海地区和内陆水域不适用。为了恢复这些地区的WTC,波尔图大学开发的全球导航卫星系统(GNSS)衍生路径延迟加(GPD+)方法使用GNSS全球和区域网络站的天顶对流层延迟与其他信息来源相结合,为所有沿轨道高度表点提供WTC解决方案。为了使GPD+使用的现有数据集更加密集,有必要增加新的GNSS站,主要在南半球,南美洲,非洲和大洋洲等地区。这项工作旨在利用SIRGAS-CON数据及其在拉丁美洲对GPD+输入数据集进行致密化的潜力,并提高GPD+的性能。三颗分析卫星(Sentinel-3A, Sentinel-3B和CryoSat-2)的结果表明,与GNSS和无线电探空卫星的WTC相比,致密化的GPD+ WTC导致WTC差异的均数减小,整个区域的均数减小了2mm,在某些位置的均数减小了5mm。
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Wet tropospheric correction for satellite altimetry using SIRGAS-CON products
Abstract The wet tropospheric correction (WTC) is a required correction to satellite altimetry measurements, mainly due to the atmospheric water vapor delay. On-board microwave radiometers (MWR) provide information for WTC estimation but fail in coastal zones and inland waters. In view to recover the WTC in these areas, the Global Navigation Satellite System (GNSS)-derived Path Delay Plus (GPD+) method, developed by the University of Porto, uses Zenith Tropospheric Delays from GNSS global and regional networks’ stations combined with other sources of information, providing a WTC solution for all along-track altimeter points. To densify the existing dataset used by GPD+, it is necessary to add new GNSS stations, mainly in the southern hemisphere, in regions such as South America, Africa and Oceania. This work aims to exploit the SIRGAS-CON data and its potential for densification of the GPD+ input dataset in Latin America and to improve GPD+ performance. The results for the three analyzed satellites (Sentinel-3A, Sentinel-3B and CryoSat-2) show that, when compared with the WTC from GNSS and radiosondes, the densified GPD+ WTC leads to a reduction in the RMS of the WTC differences with respect to the non-densified GPD+ solution, up to 2 mm for the whole region and up to 5 mm in some locations.
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来源期刊
Journal of Geodetic Science
Journal of Geodetic Science REMOTE SENSING-
CiteScore
1.90
自引率
7.70%
发文量
3
审稿时长
14 weeks
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