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Water vapor is a key driving factor behind many extreme weather events like typhoons, floods and draughts. Due to its high variability and lack of proper global data coverage, prediction of those events remains a difficult task. Currently, satel-lite microwave radiometry applications allow robust measurements of integrated water vapor (IWV) content over sea surface, but its retrieval over land is compli-cated, and there's a dependence on weather conditions (clear-sky bias). This article presents another approach for estimating integrated water vapor content in the at-mospheric column using networks of land-based dual-frequency GPS receivers.