Status %Done Task Prepare IHLA for Evaluation 0 (1) Add the following features to the algorithm: use of high Zdr fuzzy logic module to detect icing conditions, and inclusion of temperature and humidity (T and RH) profiles from a numerical weather prediction model Done 100 (2) Prepare two versions of the IHLA: one with dual-pol parameters (Z(|rand specific differential reflectivity) and the second with only reflectivity Done 100 (3) IHLA code must be written to ingest archived NEXRAD data sets Select Cases and Run the IHLA Started 75 (1) Select 5-10 icing and no-icing cases representing a variety of weather scenarios Started 33 (2) Run IHLA polarized and non-polarized versions on these cases and output compared with NIRSS icing assessments, CIP and PIREPS as available Started 20 (3) Evaluate qualitative (realistic icing fields and module behavioral) and quantitative (POD and accuracy of area coverage, hits and misses) resultsStarted 20 (4) Provide careful analysis of KCLE and NIRSS data comparison 0 (5) Map IHLA-generated data field output to existing CIP grid to use it as another fuzzy logic information input over a small domain within 100km of KCLE