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    <identifier>10.57760/sciencedb.13380</identifier>
    <datestamp>2023-11-14T14:37:09Z</datestamp>
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  <dc:date>2023-11-14</dc:date>
  <dc:title>Wind retrieval for Typhoon Nangka based on genetic simulated annealing algorithm</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.13380</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>A method of spectrum estimation based on genetic simulated annealing (GSA) algorithm to retrieve three-dimensional wind field is proposed. This method is applied to retrieve the 3D wind field of Typhoon Nangka data observed by our research group. Compared to the genetic algorithm (GA), the GSA algorithm not only extends the detection range and guarantees the accuracy of retrieval results, but also demonstrates a faster retrieval speed. Experimental results indicate that both the GA and GSA algorithms can enhance the detection range by 38% more than the least squares method. However, the convergence speed of the GSA algorithm is 17 times faster than that of the GA, which is more beneficial for real-time data processing.</dc:description>
  <dc:subject>coherent Doppler lidar; three-dimensional wind field retrieval; genetic simulate annealing algorithm; spectrum estimation; Typhoon.</dc:subject>
  <dc:creator>Zhen Liu</dc:creator>
  <dc:creator>Lucheng Yuan</dc:creator>
  <dc:creator>Jie Tang</dc:creator>
  <dc:creator>Yunpeng Zhang</dc:creator>
  <dc:creator>Jiqiao Liu</dc:creator>
  <dc:creator>Xiaopeng Zhu</dc:creator>
  <dc:creator>Juxin Yang</dc:creator>
  <dc:creator>Wei Shi</dc:creator>
  <dc:creator>Weibiao Chen</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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