Detecting Clouds Associated with Jet Engine Ice Crystal Icing

Author:

Haggerty Julie1,Defer Eric2,De Laat Adrianus3,Bedka Kristopher4,Moisselin Jean-Marc5,Potts Rodney6,Delanoë Julien7,Parol Frédéric8,Grandin Alice9,Divito Stephanie10

Affiliation:

1. National Center for Atmospheric Research, Boulder, Colorado

2. Laboratoire d’Aérologie, Université de Toulouse, CNRS, OMP, UPS, Toulouse, France

3. KNMI, de Bilt, Netherlands

4. NASA Langley Research Center, Hampton, Virginia

5. Météo-France, Toulouse, France

6. Bureau of Meteorology, Melbourne, Victoria, Australia

7. LATMOS, IPSL, UVSQ, Guyancourt, France

8. Laboratoire d’Optique Atmosphérique, Université des Sciences et Technologies de Lille, CNRS, Lille, France

9. Airbus, SAS, Toulouse, France

10. William J. Hughes Technical Center, Federal Aviation Administration, Atlantic City, New Jersey

Abstract

AbstractIn the past two decades, more than 150 jet engine power-loss and damage events have been attributed to a phenomenon known as ice crystal icing (ICI). Ingestion of large numbers of ice particles into the engine core are thought to be responsible for these events, which typically occur at high altitudes near large convective systems in tropical air masses. In recent years, scientists, engineers, aviation regulators, and airlines from around the world have collaborated to better understand the relevant meteorological processes associated with ICI events, solve critical engineering problems, develop new certification standards, and devise mitigation strategies for the aviation industry. One area of research is the development of nowcasting techniques based on available remote sensing technology and numerical weather prediction (NWP) models to identify areas of high ice water content (IWC) and enable the provision of alerts to the aviation industry. Multiple techniques have been developed using geostationary and polar-orbiting satellite products, NWP model fields, and ground-based radar data as the basis for high-IWC products. Targeted field experiments in tropical regions with high incidence of ICI events have provided data for product validation and refinement of these methods. Beginning in 2015, research teams have assembled at a series of annual workshops to exchange ideas and standardize methods for evaluating performance of high-IWC detection products. This paper provides an overview of the approaches used and the current skill for identifying high-IWC conditions. Recommendations for future work in this area are also presented.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference24 articles.

1. High ice water content at low radar reflectivity near deep convection—Part 2: Evaluation of microphysical pathways in updraft parcel simulations;Ackerman;Atmos. Chem. Phys.,2015

2. Adams, E. , 2018: The world’s biggest jet engine is about to get a blast of ice. Wired, accessed 15 January 2018, www.wired.com/story/testing-boeings-new-engine/.

3. A probabilistic pattern recognition method for detection of overshooting cloud tops using satellite imager data;Bedka;J. Appl. Meteor. Climatol.,2016

4. A long-term overshooting convective cloud top detection database over Australia derived from MTSAT Japanese Advanced Meteorological Imager observations;Bedka;J. Appl. Meteor. Climatol.,2018

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