A NOVEL PROCEDURE FOR GENERATION OF SAR-DERIVED ZTD MAPS FOR WEATHER PREDICTION: APPLICATION TO SOUTH AFRICA USE CASE

Abstract. The knowledge of tropospheric water vapor distribution can significantly improve the accuracy Numerical Weather Prediction (NWP) models. present work proposes an automatic and fast procedure for generating reliable products from synergic use Sentinel-1 Synthetic Aperture Radar (SAR) imagery Global Navigation Satellite System (GNSS) observations. Moreover, a compression method able to drastically reduce, without significant loss, dataset dimension has been implemented facilitate sharing through cloud services. activities have carried in EU H2020 TWIGA project framework, aimed at providing maps Technology Readiness Level 7.