Toolbox for Reducing Atmospheric InSAR Noise. One of the main challenges in InSAR processing is related to atmospheric delays, especially tropospheric delays. Different correction methods are applied today based on auxiliary data, including GNSS, weather models (e.g. ECMWF ERA-I, WRF, NARR, etc), spectrometer data (MERIS and MODIS), or combinations of different sources. Alternative methods exist to estimate the tropospheric delays from the radar data themselves. The success rate of the different techniques is dependant on multiple factors like temporal and spatial resolution, cloud cover, signal contamination, local topography, etc. Below we provide a set of MATLAB tools that can be use to correct for tropospheric delays in InSAR data.