High-Resolution Weather Database for the Terminal Area of Frankfurt Airport

Frech, Michael; Holzäpfel, Frank; Tafferner, Arnold; Gerz, Thomas

doi:10.1175/2007jamc1513.1

Cited by 30 publications

(31 citation statements)

References 21 publications

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“…Deutsches Zentrum für Luft-und Raumfahrt (DLR) has established a 1-yr meteorological dataset for the terminal area of Frankfurt Rhein/Main airport (EDDF/FRA) from various sources (Frech et al, 2007) for different research applications (e.g. Holzäpfel and Steen, 2007).…”

Section: Datasetmentioning

confidence: 99%

Aircraft type‐specific errors in AMDAR weather reports from commercial aircraft

Drüe

Frey

Hoff

et al. 2008

Quart J Royal Meteoro Soc

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AMDAR (Aircraft Meteorological DAta Relay) automated weather reports from commercial aircraft provide an increasing amount of input data for numerical weather prediction models. Previous studies have investigated the quality of AMDAR data. Few of these studies, however, have revealed indications of systematic errors dependent upon the aircraft type. Since different airlines use different algorithms to generate AMDAR reports, it has remained unclear whether a dependency on the aircraft type is caused by physical properties of the aircraft or by different data processing algorithms. In the present study, a special AMDAR dataset was used to investigate the physical type-dependent errors of AMDAR reports. This dataset consists of AMDAR measurements by Lufthansa aircraft performing over 300 landings overall at Frankfurt Rhein/Main (EDDF/FRA) on 22 days in 2004. All of this data has been processed by the same software, implying that influences from different processing algorithms should not be expected. From the comparison of single descents to hourly averaged vertical profiles, it is shown that temperature measurements by different aircraft types can have systematic differences of up to 1 K. In contrast, random temperature errors of most types are estimated to be less than 0.3 K. It is demonstrated that systematic deviations in AMDAR wind measurements can be regarded as an error vector, which is fixed to the aircraft reference system. The largest systematic deviations in wind measurements from different aircraft types (more than 0.5 m s −1 ) were found to exist in the longitudinal direction (i.e. parallel to the flight direction).

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Section: Datasetmentioning

confidence: 99%

Aircraft type‐specific errors in AMDAR weather reports from commercial aircraft

Drüe

Frey

Hoff

et al. 2008

Quart J Royal Meteoro Soc

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“…During 40 days of sound detection and ranging, radio acoustic sounding system (SODAR/RASS) measurements at Frankfurt airport statistics of Brunt-Väisälä frequencies in a height range between 40 and 200 m above ground have been evaluated [36]. Maximum values up to 0.05 s −1 are observed; however, 95% of the N values are below 0.032 s −1 .…”

Section: A Thermal Stratificationmentioning

confidence: 99%

Effects of Environmental and Aircraft Parameters on Wake Vortex Behavior

Holzäpfel

2014

Journal of Aircraft

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This study investigates the impact of meteorological parameters (crosswind, headwind, wind shear, thermal stratification, turbulent kinetic energy, dissipation rate, and density) and aircraft parameters (position, heading, speed, weight, span, and spanwise load factor) on wake-vortex behavior. Typical measurement uncertainties of these parameters, on one hand, and the range in which they typically reside, on the other hand, are mapped on variations of lateral and vertical position and lifetime of the wake vortices. For this mapping process, the deterministic two-phase wake-vortex model is employed, complemented by some simple considerations, dimensional analysis, and sources from literature. Three scenarios comprising cruise conditions, flight within the atmospheric boundary layer, and ground proximity are considered. From these investigations, the following ranking of the impact parameters has been deduced: wind, thermal stratification, turbulence, position, mass, and spanwise load factor. The relevance of the remaining parameters appears small.

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“…Gerz et al (2005) have developed the Nowcasting Wake Vortex Impact Variables (NOWVIV) model to forecast the cross winds and turbulence quantities for supporting wake vortex studies. The NOWVIV tool is built upon the MM5 model with a level-3 turbulence closure scheme (Burk and Thompson 1989).…”

Section: Eddy Dissipation Ratementioning

confidence: 99%