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ADWICE Advanced Diagnosis and Warning system for aircraft ICing Environments

C. Leifeld, T. Hauf Institute of Meteorology and Climatology (IMUK) University of Hannover, Germany. A. Tafferner DLR Oberpfaffenhofen, Institute of Atmospheric Physics Wessling, Germany. H. Leykauf DWD, German Weather Service, Business Unit Aviation Offenbach, Germany.

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ADWICE Advanced Diagnosis and Warning system for aircraft ICing Environments

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  1. C. Leifeld, T. Hauf Institute of Meteorology and Climatology (IMUK) University of Hannover, Germany A. Tafferner DLR Oberpfaffenhofen, Institute of Atmospheric Physics Wessling, Germany H. Leykauf DWD, German Weather Service, Business Unit Aviation Offenbach, Germany ADWICEAdvanced Diagnosis and Warning system for aircraft ICing Environments  Christoph Leifeld

  2. Aircraft icing – a severe threat in aviation • Icing is caused by supercooled liquid water drops • cloud water drops  <50m • freezing drizzle  50m – 500m • freezing rain  >500m • supercooled liquid drops hit and freeze on wings, propellers, etc. • ice accretion rates up to several mm per minute are observed, • ice accretion depends on atmospheric and aircraft parameters •  severe reduction of aircraft performance is possible  Christoph Leifeld

  3. Ice accretion DLR research aircrafts  Christoph Leifeld

  4. Minimizing the icing hazard Ice removal: Technical anti-icing systems: • heating the leading edges and • using inflatable boots Ice avoidance: Meteorologists have to diagnose and forecast • clouds and precipitation with icing potential • supercooled liquid water (SLW) and its constituents • cloud drops, • drizzle and • rain.  Christoph Leifeld

  5. How to forecast hazardous icing clouds ? Current NWP models do not forecast the SLWC with sufficient accuracy • Nowcasting systems like IIDA (NCAR) and ADWICE (IMUK, DLR, DWD) are under development.They rely on instant observations and modelling data. ADWICE uses the Local Model (LM) of the German Weather Service (DWD) • full domain 325325 grid points; 35 levels • 7km horizontal grid spacing • humidity, temperature model data and parameterisation of moist convection • observation data (SYNOP, METAR, RADAR) • Using empirical relationships between the data, ADWICE calculates location, intensity and type of icing.  Christoph Leifeld

  6. SYNOP & METAR radar data convection „Tiedtke“ LWC model temperature satellite data Nowcasting system ADWICE ... model humidity Icing Volumes Location (3D) Intensity (LWC) Type (e.g. drops )  Christoph Leifeld

  7. Start ADWICE Prognostic Icing Algorithm (PIA) Start ADWICE PIA Start LM Start LM Prognostic Icing Product (PIP) 00 UTC 12 03 06 09 15 18 21 PIP PIP PIP PIP PIP PIP PIP PIP PIP PIP PIP PIP Actual time: 03:15 UTC ADWICE schedule  Christoph Leifeld

  8. model data temperature relative humidity convection „Tiedtke“ ADWICE PIP FL65 21.10.2002 06 UTC Prognostic Icing Algorithm (ADWICE PIA) Search/check model data for criteria for icing clouds of different types freezing convective stratiform general Prognostic Icing Product (PIP)  Christoph Leifeld

  9. Start ADWICE Prognostic Icing Algorithm (PIA) Start ADWICE PIA Start LM Start LM Prognostic Icing Product (PIP) 00 UTC 12 03 06 09 15 18 21 PIP PIP PIP PIP PIP PIP PIP PIP PIP PIP PIP DIP DIP PIP Actual time: 06:00 UTC Available data at 06UTC: PIP, SYNOP, METAR, RADAR Diagnostic Icing Product (DIP) Start ADWICE Diagnostic Icing Algorithm (DIA) ADWICE schedule  Christoph Leifeld

  10. Diagnostic Icing Algorithm (ADWICE DIA) observation data SYNOP/METAR RADAR give information about possible atmospheric structures with icing clouds (cloud/weather/icing types) ... model data temperature relative humidity convection „Tiedtke“ Search/check model data for typical structure (observation data) to get more detailed information Compare with PIP  Christoph Leifeld

  11. ADWICE DIP FL65 21.10.2002 06 UTC • ADWICE PIP is • confirmed, rejected, changed or • icing type is set Four different icing types: freezing convective stratiform general • Check • cloud cover • cloud base • Correction of 3D cloud/icing position • reject cloud/icing • set cloud/icing ADWICE Diagnostic Icing Product (DIP) with four different icing types: freezing convective stratiform general  Christoph Leifeld

  12. SYNOP 19.11.2001 06UTC N  4  Christoph Leifeld

  13. Icing at 19.11.2001 06UTC Four different icing types: freezing convective stratiform general ADWICE PIP FL40 ADWICE DIP FL40  Christoph Leifeld

  14. PIREPS – important data source for validation Deficiencies of PIREPs • Reporting and event time may differ, • location and flight level very often are not precisely given, • coding errors. Problems with validation of ADWICE • Number of european PIREPsis too small For more information and other methods to validate ADWICE see poster „Methods of validating ADWICE“ AS11-1MO4P-0862  Christoph Leifeld

  15. Conclusions • The current version of ADWICE uses model data, SYNOP, METAR and radar data. • Detection of cloudy and cloud free regions • Improvement in forecasting and diagnosing clouds with SLWC • Validation of ADWICE is done in single cases only because of lack of PIREPS. More PIREPS are needed. • Currently ADWICE is in preoperational use at the DWD and provides helpful information.  Christoph Leifeld

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