Aircraft Icing: detection and forecasting

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (30 May 2022) | Viewed by 1740

Special Issue Editors


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Guest Editor
1. Instituto Português do Mar e da Atmosfera, Divisão de Meteorologia Aeronáutica, Rua C do Aeroporto, 1749-077 Lisboa, Portugal
2. Centre for the Research of Agroenvironmental and Biological Sciences, CITAB, Universidade de Trás-os-Montes e Alto Douro, UTAD, 5000-801 Vila Real, Portugal
Interests: windstorms; thunderstorms; tornadoes; downbursts; mountain waves and turbulence; aircraft icing
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Guest Editor
Instituto Dom Luiz, University of Lisbon, IDL, Campo Grande, Ed C1, 1749-016 Lisbon, Portugal
Interests: boundary layer processes; surface-atmosphere coupling; climate change; regional climate modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Aircraft icing is an important threat to flight safety. For instance, in the United States, between 1998 and 2009, at least 565 aircraft accidents were related to ice accretion. In particular, supercooled large drops (SLD) associated with freezing drizzle or freezing rain can be extremely hazardous and have often been the cause of fatal aircraft accidents. More recently, another type of icing, known as ice crystal icing (ICI), has attracted the attention of the aviation industry and scientific community. ICI is caused by high ice water contents in deep convective clouds and has been responsible for several jet-engine power loss events.

In this Special Issue, we invite original and review articles dedicated to various types of aircraft icing, comprising case studies and statistical analyses. This Special Issue will cover articles describing new detection algorithms or methodologies based on the use of remote sensors, such as multichannel microwave radiometer, Doppler weather radar, and lidar. Moreover, it may include new developments on algorithms taking advantage of the increase in satellite spectral channels. On the forecasting side, this Special Issue addresses new algorithms based on numerical weather prediction (NWP) models or recent upgrades to NWP models aiming to predict explicitly precipitation types. Studies devoted to the synoptic environment associated with aircraft icing will also be included.

Dr. Margarida Belo-Pereira
Dr. Rita M. Cardoso
Guest Editors

Manuscript Submission Information

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Keywords

  • Aircraft icing 
  • Ice accretion
  • Supercooled cloud water
  • • Ice crystal icing
  • Freezing rain
  • Freezing drizzle
  • Icing algorithms
  • Hoar frost

Published Papers (1 paper)

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Research

21 pages, 5587 KiB  
Article
Demonstration of a Nowcasting Service for High Ice Water Content (HIWC) Conditions
by Rodney Potts, Julie Haggerty, Allyson Rugg and Alain Protat
Atmosphere 2023, 14(5), 786; https://doi.org/10.3390/atmos14050786 - 26 Apr 2023
Cited by 1 | Viewed by 1055
Abstract
Areas of high ice water content (HIWC) within cloud systems may cause power loss events and engine damage in jet aircraft due to ice crystal icing (ICI). The Algorithm for Prediction of HIWC Areas (ALPHA) was developed to identify these regions and enable [...] Read more.
Areas of high ice water content (HIWC) within cloud systems may cause power loss events and engine damage in jet aircraft due to ice crystal icing (ICI). The Algorithm for Prediction of HIWC Areas (ALPHA) was developed to identify these regions and enable provision of guidance to airlines. ALPHA combines numerical weather prediction model data, satellite data, and radar data (where available), and applies fuzzy logic to identify the likely presence of HIWC. In a collaboration between the U.S. National Center for Atmospheric Research, Australian Bureau of Meteorology, U.S. Federal Aviation Administration, and Australian airlines, a trial of ALPHA was conducted for an area across Indonesia, Papua New Guinea (PNG), and northern Australia, a region with frequent deep convection and a relatively high incidence of ICI events. ALPHA was adapted to ingest data from the Australian Community Climate and Earth System Simulator model and the Japanese Himawari-8 geostationary meteorological satellite. Radar data was not used. The HIWC product was made available to stakeholder groups for evaluation. Independent validation of the HIWC product was undertaken by comparing it with retrieved profiles of ice water content (IWC) from the cloud profiling radar on the NASA polar-orbiting CloudSat satellite. Conduct of the ALPHA trial and results from validation of the HIWC product provides confidence in the potential utility for flight planning, maintaining situational awareness, and flight monitoring. Full article
(This article belongs to the Special Issue Aircraft Icing: detection and forecasting)
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