An operational nonlinear Physical Inversion (PIn) algorithm for precipitable and cloud liquid water estimate is described. It is suited for a generic conical scanning satellite microwave radiometer acquisitions over sea, in non-raining conditions. The algorithm does not need any calibration phase, and is independent from the availability of in-situ data, being consistent in different geographical and climatological situations. Adopted formulation is addressed to provide observational data to help validating water vapour and cloud fields produced by a numerical weather prediction model. Furthermore, such technique can be utilised for global reanalyses purposes, improving estimates of primary fields of hydrological cycle. A sensitivity study of the forward model and a comparison between output brightness temperatures and those from a robust numerical code are also reported: achieved discrepancies result acceptable with respect to instrumental constrains and computation time. Index Terms-radiative transfer, microwave remote sensing, inversion techniques. I.