Spatial filtering and resampling of multi-resolution microwave sounder observations

Spatially oversampled radiometric measurements of the Earth´s surface and atmosphere can be reprocessed to optimize various performance metrics. These metrics include resolution, signal-to-noise ratio, and accuracy of retrieved environmental data. In this study, we explore several strategies for two-dimensional image processing for microwave sounder observations and assess the performance using several metrics. Simulated measurements of the Advanced Technology Microwave Sounder (ATMS), the Microwave Imager/Sounder (MIS), and the Geostationary Microwave Array Spectrometer (GeoMAS) are used in the evaluation. We examine spatial filtering (a modification of the effective spatial resolution of the measurements), and in the ATMS case, resampling (a modification of the effective boresight of the composite footprint).