Evaluation of InSAR Tropospheric Correction by Using Efficient WRF Simulation with ERA5 for Initialization

The delay caused by the troposphere is one of major sources errors limiting accuracy InSAR measurements. tropospheric correction measurements important. Weather Research and Forecasting (WRF) Model a state-of-the-art mesoscale numerical weather prediction system designed for atmospheric research applications. It can be applied to correction. Its parameters altered according requirements given application. WRF usually initialized based on 3 h- or 6 h temporal resolution data in studies, lower compared ERA5 data. A time means longer integration simulate from initial target time. Initialization with higher shorten simulation theoretically improve its accuracy. However, an evaluation effectiveness ERA5_WRF lacking. To evaluate efficiency correction, we used Reanalysis v5 (ERA5) European Centre Medium-Range Forecasts (ECMWF) initialization drive (ERA5_WRF) efficient applications InSAR. Three methods global models—FNL_WRF (tropospheric method driven NCEP FNL), Generic Atmospheric Correction Online Service (GACOS), ERA5—were corrective effects ERA5_WRF. reliability different scenarios large was evaluated spatial perspectives considering seasonal, topographic, climatic factors. local space showed that could adequately correct delay. Benefits include high-quality WRF, application seasons had proven superior other terms elevation-related spatially related delays summer. By analyzing downscaling conditions cases, performance under condition content hourly variation Furthermore, potential when higher-quality appear future.