There are several satellite soil moisture data products available for applications. However, none of these data products has been used operationally in numerical weather, climate or hydrological models that the data products were supposed to be generated for. The delay of the real applications of these data products was caused by their accuracy or reliability issues. A climatologically consistent and qualitatively reliable global soil moisture product, is thus in urgent need for the applications. To meet this data need and make good use of the observations from the existing and future satellite microwave sensors, such as the Advanced Microwave Scanning Radiometer (AMSR-E) on NASA EOS Aqua satellite, the Soil Moisture and Ocean Salinity (SMOS) mission of ESA, the Advanced Scatterometer (ASCAT) on MetOp satellites of EUMETSAT, and Soil Moisture Active/Passive mission (SMAP) of NASA, the National Environmental Satellite, Data and Information Service (NESDIS) of United States National Oceanic and Atmospheric Administration is developing a Global Soil Moisture Product System (SMOPS). This paper will present the SMOPS design, retrieval algorithm and validation of the SMOPS soil moisture data products against available in situ soil moisture observations at locations around the globe. Using SMOPS to generate global soil moisture data products from the Microwave Radiometric Imager (MWRI) on Fengyun-3 satellite of China Meteorological Administration and the upcoming AMSR2 on the GCOM-W satellite of Japan Aerospace Exploration Agency (JAXA) will be discussed. Assimilation of the SMOPS data products in NOAA NCEP Global Forecast System will also be introduced.