The FAA and the aviation industry have identified freezing precipitation as the most important precipitation type for aviation safety. ��Surface observations of freezing drizzle are vital for aircraft deicing opeations, and can also provide significant inputs to in-flight icing forecasts. �Over 600 locations in the United States are now capable of providing automated observations of freezing rain, using the Rosemount 872C3 icing detector on the Automated Surface Observing System (ASOS). �While the ASOS is highly effective in reporting freezing rain, it does not currently report freezing drizzle. �Since the mid 1990's, the National Weather Service (NWS) has sponsored an ASOS Product Improvement Initiative intended to enhance the system's capabilities to identify and report freezing drizzle. �This paper will present results of the most recent field evaluation of a multi-sensor ASOS freezing-drizzle algorithm, conducted over the last winter season (2000-2001). �The paper will briefly describe the algorithm; present comparisons of the potential automated reports with manual observations; �quantify the hours of freezing drizzle that would have been reported had the algorithm been implemented in the ASOS, and include a detailed case study of an icing event which illustrates the performance of the algorithm. �The presentation will conclude with the current implementation status of the algorithm in the Automated Surface Observing System.