The In-flight icing warning system ADWICE for European airspace – Current structure, recent improvements and verification results
| Autor: | Thomas Hauf, Katharina Roloff, Frank Kalinka, Jakob Tendel |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Dewey Decimal Classification::500 | Naturwissenschaften::550 | Geowissenschaften
Atmospheric Science 010504 meteorology & atmospheric sciences Warning system Meteorology ADWICE icing intensity In-flight Icing lcsh:QC851-999 01 natural sciences Supercooled liquid water 010406 physical chemistry 0104 chemical sciences supercooled liquid water METEOSAT second generation Aeronautics Supercooled large droplets ddc:550 Environmental science lcsh:Meteorology. Climatology Current (fluid) Icing intensity supercooled large droplets 0105 earth and related environmental sciences Icing |
| Zdroj: | Meteorologische Zeitschrift, Vol 26, Iss 4, Pp 441-455 (2017) Meteorologische Zeitschrift 26 (2017), Nr. 4 |
| ISSN: | 0941-2948 |
| Popis: | The Advanced Diagnosis and Warning System for Aircraft Icing Environments (ADWICE) has been in development since 1998 in a collaboration between the German Aerospace Centre (DLR), Deutscher Wetterdienst (German Weather Service, DWD) and the Institute of Meteorology and Climatology of the Leibniz Universität Hannover (IMuK). ADWICE identifies atmospheric regions containing supercooled liquid water where aircraft icing can occur. Running operationally at DWD since 2002, ADWICE is used at the German Advisory Centres for Aviation (Luftfahrtberatungszentrale) to support pilots in route planning by warning of hazardous in-flight icing conditions. The model domain covers Europe and the Mediterranean coast of North Africa with a horizontal grid spacing of about 7 km and 30 vertical hybrid levels. The warning system consists of two algorithms. Based on output data of the operational numerical weather prediction model COSMO-EU (Consortium of Small-Scale Modelling - Europe), the Prognostic Icing Algorithm (PIA) allows the forecast of areas with an icing hazard. The Diagnostic Icing Algorithm (DIA) realises a fusion of forecast, observational and remote sensing data such as satellite data to describe the current icing hazard. Both algorithms create a three-dimensional icing product containing information about the likely icing scenario and its associated icing intensity. This paper describes the current structure of ADWICE, its output, as well as its diagnosis and forecast skill. For verification, the output of the two algorithms was compared with pilot observations over Europe. The results show satisfactory values for the probability of detection and the volume efficiency. |
| Databáze: | OpenAIRE |
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