This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
How Dual Polarization Technique May Improve Weather Radar on Commercial Aircraft
Technical Paper
2019-01-1982
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
The airborne weather radar on a commercial aircraft is essential to ensure flight safety. It is able to detect severe weather, probable areas where presence of hail may be suspected, and thanks to its Doppler capability, the wind shears that may be dangerous when taking-off or landing. However, because it operates at X-band, the picture that it offers to the pilot may be seriously biased in situation of severe weather, in reason of the attenuation of the radar wave.
The adoption of the dual pol technique in this weather radar would be most beneficial for the quality of the information delivered to the pilot for the following reasons:
- 1Dual pol technique allows to operate a classification of the precipitation: distinguishing rain, melting layer, snow, hail, small ice particles.
- 2Dual pol technique allows correcting the return signal for attenuation in rain.
The paper aims reporting recent advances in the exploitation of dual pol radar data, based on the concept of normalisation of the particle size distribution (PSD) and on ZPHI® algorithm for precipitation retrieval. Their combination helps retrieving parameter N0* able to represent alone the variability of the PSD, for rain or ice particles whatever. The main interest of the combination between dual pol radar and ZPHI® software for inflight application is:
- To be able to measure ice concentration in altitude by implementing a new version of ZPHI® describing the along beam N0* evolution, in order to interpret the radar reflectivity in terms of ice particle concentration;
- To be able to calibrate the radar using self-consistency of polarimetric variables.
Recommended Content
Journal Article | High Altitude Ice Crystal Detection with Aircraft X-band Weather Radar |
Technical Paper | Design and Implementation of Aircraft System Health Management (ASHM) Utilizing Existing Data Feeds |
Progress In Technology | Aircraft Thermal Management: Systems Architectures |
Authors
Topic
Citation
Testud, J., Moreau, E., and Le Bouar, E., "How Dual Polarization Technique May Improve Weather Radar on Commercial Aircraft," SAE Technical Paper 2019-01-1982, 2019, https://doi.org/10.4271/2019-01-1982.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 |
Also In
References
- Testud J. Precipitation Measurement from Space Weather Radar - Principles and Advanced Applications Meishner Peter Springer 2004 199 234
- Kabèche , A. , Testud , J. , and Stereoradar Meteorology A New Unified Approach to Process Data from Airborne or Ground-Based Meteorological Radars J. Atmos. Ocean, Technol. 12 4 783 799 1995
- Testud , J. , Oury , S. , Black , R.A. , Amayenc , P. et al. The Concept of “Normalized” Distribution to Describe Raindrop Spectra: A Tool for Cloud Physics and Cloud Remote Sensing J. Applied Meteor. 40 1118 1140 2001
- Marshall , J.S. and Palmer , W.M. The Distribution of Raindrops with Size J. Meteor 5 4 165 166 1948
- Delanoë , J. , Protat , A. , Testud , J. , Bouniol , D. et al. Statistical Properties of the Normalized Ice Particle Size Distribution J. Geophys. Res. 110 D10 2005
- Testud , J. , Le Bouar , E. , Obligis , E. , and Ali-Mehenni , M. The Rain Profiling Algorithm Applied to Polarimetric Weather Radar J. Ocean. Atmosph. Technol. 17 332 356 2000
- Le Bouar , E. , Testud , J. , and Keenan , T.D. Validation of the Rain Profiling Algorithm “ZPHI” from the C-Band Polarimetric Weather Radar in Darwin J. Ocean. Atmosph. Technol. 18 1819 1837 2001
- Le Bouar E. Testud J. and Moreau E. 2008 Reflectivity Calibration of a X-Band Polarimetric Radar Proceedings of the Fifth European Conference on Meteorology and Hydrology ERAD 2008
- Le Bouar E. , Testud J. and Matrosov S. 2002 Rainfall Rate Estimate from the Rain Profiling Algorithm “ZPHI” Applied to X-Band Polarimetric Radar Data Proceedings of ERAD (2002) 238 242
- Heymsfield , A.J. , Schmitt , C. , Bansemer , A. , and Twohy , C.H. Improved Representation of Ice Particle Masses Based on Observations in Natural Clouds Jour. Atmosph. Sci. 3303 3318 2010
- Khvorostyanov , V.I. and Curry , J.A. Terminal Velocities of Droplets and Crystals: Power Laws with Continuous Parameters Over the Size Spectrum J. Atmos. Sci. 59 1872 1884 2002
- Matrosov , S. Radar Reflectivity in Snowfall IEEE Transactions on Geoscience and Remote Sensing 30 3 454 461 1992
- Matrosov , S. , Campbell , C. , Kingsmill , D. , and Sukovich , E. Assessing Snowfall Rates from X-Band Radar Reflectivity Measurements J. Ocean. Atmosph. Technol. 26 2324 2339 2009
- Moreau , E. , Le Bouar , E. , Testud , J. , Tabary , P. et al. Snow Algorithm for Dual Polarized X-Band Radar ERAD 2012 2012
- Heymsfield A. J. , Bansemer A. , Field P. R. , Durden S.L. , et al. 2002 Observations and Parameterizations of Particle Size Distributions in Deep Tropical Cirrus and Stratiform Precipitating Clouds: Results from In Situ Observations in TRMM Field Campaigns J. Atmosph. Sci. 59 3457
- DeMott , P.J. , Prenni , A.J. , Liu , X. , Kreidenweis , S.M. et al. Predicting Global Atmospheric Ice Nuclei Distributions and Their Impacts on Climate PNAS 107 25 11217 11222 2010