NCAR BOM Julie Haggerty Rodney Potts
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The High Ice Water Content (HIWC) hazard to aviation Experimental nowcasting products for avoidance of HIWC conditions Engaging with potential users Product evaluation in an operational setting Exercise goals
Large concentrations of small ice crystals can exist in areas of convective clouds with low radar reflectivity Ice crystals stick to warm metal surfaces in jet engine low pressure compressor ◦ Ice accretes; accumulated ice can block flow into engine core or shed into high pressure compressor or combustor ◦ Result may be power surge, power loss, engine damage Aircraft data systems may also be affected by ingest of ice crystals into inlets ◦ Result may be errors in Over 150 Ice Crystal Icing events temperature, air speed, and angle confirmed to date of attack (Event locations provided by M. Bravin, Boeing, 2015)
Engine modification Detection of ice crystals by pilots’ weather radar Identification of HIWC areas with standard meteorological data sets ◦ Products to enable avoidance of hazard ◦ Development efforts underway by multiple research teams
Uses operationally available data as input Applies fuzzy logic methodology to blend input data Apply expert knowledge to create rule-based behavior Membership functions characterize the relationship of each variable to the possibility of HIWC conditions Blend data with adjustable weighting factors Provides a 3-dimensional estimate of HIWC potential 0: minimum interest, no HIWC likely 1: maximum interest, high likelihood of HIWC Currently uncalibrated *Research sponsored by U.S. FAA
Operationally available data Blend via algorithms using fuzzy logic rules/ membership functions Gridded field of potential for HIWC conditions
Three field campaigns ◦ 23 flights based in Darwin, Australia ◦ 16 flights based in Cayenne, French Guiana ◦ 10 flights based in Florida, US IWC Measurements ◦ In situ Isokinetic Probe ◦ Cloud radar retrievals of IWC profiles HIWC Potential Machine Learning Technique for Algorithm Tuning ◦ Data set partitioned into Training and Verification subsets
ALPHA v2.1 Performance Statistics False Alarm Rate: 20.6% PoD-yes: 77.3% Misses: 22.7% PoD-no: 79.4%
Experimental ALPHA available in real-time over U.S. since 2016 Informal feedback solicited from small set of users Currently no mechanism to obtain structured feedback on utility and performance or quantitative data for verification
HIWC Nowcasting Trial Exercise Joint effort with Australian Bureau of Meteorology (BOM), NCAR, and U.S. Federal Aviation Administration (FAA) Provide experimental HIWC products to aviation industry stakeholders for a discrete time period Qantas Virgin Australia Solicit feedback on product performance and utility during convective season Evaluate and modify ALPHA as indicated by user experience
HIWC Nowcasting Trial Exercise ALPHA ALPHA Domain implemented over northern Australia and maritime continent Initial trial during Radar Data Available monsoon convective season, Jan-Mar 2018; second trial in 2019 Monitor performance based on airline feedback
HIWC Nowcasting Trial: Organizational Structure and Responsibilities NCAR BOM Airlines • Regional ALPHA • Provide input data • Access product and development • ACCESS integrate with other • Implementation • HIMAWARI-8 meteorological products on BOM server • Radar • Monitor areas • Scientific and • Host server identified as HIWC technical support • Prepare and • Pilot education on • Evaluate and distribute characteristics of incorporate products HIWC in flight feedback to • Coordinate and • Note suspected improve analyze feedback encounters with algorithms HIWC • Provide feedback
HIWC Nowcasting Trial Exercise: Schedule 2017 May Dec 2018 Jan Mar Product ALPHA Installation Post-trial Trial: Development & Testing Workshop Phase I 2018 Jul Dec 2019 Jan Mar Product ALPHA Installation Final Trial: Modification & Testing Report Phase II
HIWC Nowcasting Trial: Expected Outcomes Provide the BOM with an experimental HIWC nowcasting capability. Provide NCAR and FAA with feedback on ALPHA performance in a region with frequent convection and ICI events. Provide information to be used for further improvements to ALPHA Inform FAA and BOM decision on feasibility of a fully operational HIWC nowcasting product. Progress the development of an international capability for HIWC detection and prediction that may be required by ICAO in the future.
This research is in response to requirements and funding by the Federal Aviation Administration (FAA). The views expressed are those of the authors and do not necessarily represent the official policy or position of the FAA.
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