Testing of Multifrequency Radar Algorithm for the Detection of Aircraft Icing Potential with Aircraft-Sampled Cloud and Precipitation Data

Details

• Creators:
  Pazmany, Andrew L. ; Mead, James B.
• Corporate Creators:
  Quadrant Engineering Inc
• Corporate Contributors:
  United States. Department of Transportation. Federal Aviation Administration. Office of Aviation Research
• Subject/TRT Terms:
  Aircraft Airline Pilots Airport Ground Transportation Airport Operations Airport Runways Airport Surface Traffic Control Algorithms Drops(Liquids) Forecasting Ice Formation In Flight Operations Instrument Landing Systems Microwave Landing Systems Neural Nets Pavements Predictions Radar

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• Publication/ Report Number:
  DOT/FAA/AR-TN01/3
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Technical Note
• Corporate Publisher:
  United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center
• Abstract:
  In 1997, Quadrant Engineering Inc. (QEI) proposed a neural network algorithm for the estimation of cloud and precipitation parameters such as Liquid Water Content (LWC) and drop size from multifrequency radar measurements. QEI was subsequently commissioned to evaluate the performance of the technique with real, aircraft-sampled cloud and precipitation drop size distributions. QEI simulated the radar signals at various frequencies using the aircraft-sampled drop size distributions, processed the radar signals with an artificial neural network, and compared the neural net estimated cloud and precipitation parameters with the actual parameters measured by the aircraft. Ice particles present in some of the sampled clouds and precipitation were not included in the analysis. Results indicate that a combination of 10-95 or 10-35-95 GHz radars can measure LWC with 1-km range resolution with a standard error of less than 0.05 g/m3 and drop size to within 50% error in high signal-to-noise-ratio conditions. The estimates of the 10-35 GHz radar combination were not as accurate in similar conditions but are expected to be effective in long range, coarse resolution (≥2 km) measurements.
• Format:
  PDF
• Collection(s):
  FAA William J. Hughes Technical Center for Advanced Aerospace
• Main Document Checksum:
  urn:sha-512:dac06435599c15cd6c5ac9785b70c4d4c6a2ec5ed5f8334109717312cbd666688e0d3d06297727588c192251eae87fbc47dd422e809aa66ac25cf9ea227aa23a
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89798/dot_89798_DS1.pdf
• File Type:
  [PDF - 2.29 MB ]