NWM-Based Model Products
Similar to GNSS observations, InSAR observations are also influenced by neutral atmosphere. Reanalysis data, especially ERA Interim data, is considered the most promising external data source for correcting InSAR atmospheric delay and is often applied in related studies (e.g. Joviet et al. 2011). The latest ERA5 data has higher spatiotemporal resolution compared to ERA Interim, and is expected to achieve better performance in InSAR atmospheric delay estimation. Users can obtain InSAR atmospheric delay correction information for the area of interest through this platform (estimated based on ERA5 reanalysis data).
Figure 1. Classification of Wuhan University tropospheric model products. A gray background indicates that the model products are still under constructionThe model products primarily consist of three categories: mapping function product (WMF), horizontal gradient products (WHG), and comprehensive empirical model (WTM). Among them, the mapping function and horizontal gradient products target post-processing high-precision applications, while the comprehensive empirical model addresses real-time applications. As of now, the research group has developed site-wise model products covering the globally distributed 1,583 space geodetic stations, including those of the Crustal Movement Observation Network of China (CMONOC) and the National BDS Augmentation Service System. Corresponding grid-wise model products are still under construction (marked by a gray background).
Figure 2. Space geodetic station distribution for Wuhan University site-wise model products1. Hourly site-wise mapping function product (WMF-S)
2. Hourly site-wise horizontal gradient product (WHG-S)
3.Diurnal site-wise comprehensive empirical model (WTM-S)
Recommend citations
◊ Lou Y., Huang J., Zhang W., Liang H., Zheng F., Liu J. (2018) A New Zenith Tropospheric Delay Grid Product for Real-Time PPP Applications over China. Sensors. 18(1), 65. https://doi.org/10.3390/s18010065
◊ Zhang W., Lou Y., Liu W., Huang J., Wang Z., Zhou Y., Zhang H. (2020) Rapid troposphere tomography using adaptive simultaneous iterative reconstruction technique. Journal of Geodesy. 94(76). https://doi.org/10.1007/s00190-020-01386-4