A major source of errors in interferometric synthetic aperture radar (InSAR), used for mapping ground deformation, is the delay caused by changes in the propagation velocity of radar microwaves in the troposphere. It is common to correct this tropospheric delay noise using numerical weather models because of their widespread global availability. A variety of correction methods and tools exist and selecting the most appropriate one by considering weather models, delay models, and delay calculation algorithms is essential for specific applications. We compared the performance of two tropospheric delay correction methods applied to Advanced Land Observing Satellite-2 (ALOS-2) data acquired over Japan, where the atmospheric field is complex with significant seasonal variation. In particular, we tested 1) a method of delay integration along the slant radar line-of-sight (LOS) path using the mesoscale model (MSM) provided by the Japan Meteorological Agency and 2) the Generic Atmospheric Correction Online Service (GACOS) for InSAR, which estimates delay using the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis products along with an iterative decomposition approach. Results showed that tropospheric delay correction using the slant delay integration approach with MSM, which has a finer temporal and spatial resolution, performed slightly better than GACOS, which used ECMWF data. We further found that the differences in these tropospheric delay models would have limited significance, suggesting that the difference in performance mainly originates from differences in the numerical weather models being used. This study highlights the importance of using the best-available numerical weather model data for tropospheric delay calculations.
