Status %Done Task
Prepare IHLA for Evaluation
Started 5% (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
Done 100% (1) Select 5-10 icing and no-icing cases representing a variety of weather scenarios
Done 100% (2) Run IHLA polarized and non-polarized versions on these cases and output compared
with NIRSS icing assessments, CIP and PIREPS as available
Started 80% (3) Evaluate qualitative (realistic icing fields and module behavioral) and quantitative (POD
and accuracy of area coverage, hits and misses) results
Started 80% (4) Provide careful analysis of KCLE and NIRSS data comparison
Started 5% (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