Wind shear identification for airborne weather radar and its application in airport forecast
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    Abstract:

    Wind shear in the atmosphere is a serious threat to the safety of aircraft,especially the low-level wind shear which is an important factor affecting the aircraft taking off and landing.By using the Doppler radar velocity data to calculate the one-dimension tangential,one-dimensional radial and two-dimension composite shear,accurately judging the dangerous area of wind shear could provide timely warning for flight,taking off and landing.In this study,as the wind shear automatic identification product on the principal user processor(PUP) for Doppler radar applications has the shortcomings such as weak edge recognition and larger location errors,according to Doppler radar velocity distributions and taking advantage of least square fitting method,"fitting window" suitable for airborne radar parameters are chosen,and the several cases have been identified and analyzed.For the performance in wind shear's identification,location and edge discerning,the least square method could provide better reference of wind shear and warnings than PUP's identification products.

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魏鸣,张明旭,张培昌,郭巍,周生辉,2014.机载雷达风切变识别算法研究及在机场预报中的应用[J].大气科学学报,37(2):129-137. WEI Ming, ZHANG Ming-xu, ZHANG Pei-chang, GUO Wei, ZHOU Sheng-hui,2014. Wind shear identification for airborne weather radar and its application in airport forecast[J]. Trans Atmos Sci,37(2):129-137.

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History
  • Received:December 05,2013
  • Revised:January 19,2014
  • Adopted:
  • Online: April 26,2014
  • Published:

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