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  • 标题:Diabatic initialization using recursive filters
  • 本地全文:下载
  • 作者:Peter Lynch ; Xiang-Yu Huang
  • 期刊名称:Tellus A: Dynamic Meteorology and Oceanography
  • 电子版ISSN:1600-0870
  • 出版年度:1994
  • 卷号:46
  • 期号:5
  • 页码:583-597
  • DOI:10.3402/tellusa.v46i5.15646
  • 摘要:Several initialization schemes based on recursive filters are formulated and tested with a numerical weather prediction model, HIRLAM. These have an advantage over schemes which use non-recursive filters in that they derive the initialized values from a diabatic trajectory passing through the original analysis. The changes to the analysed fields are comparable in size to typical observational errors. A non-recursive implementation of the recursive filters makes the new initialization schemes as easy to use as the original non-recursive filter schemes. It also allows use of higher-order filters without added cost. An initialization method using a 6th order filter is compared to a scheme based on an non-recursive optimal filter, and is found to produce similar results for less than half the computational cost. If the sole aim is noise suppression, a filter whose output validates later than the initial time may be used. The advantage of this is that computation time is further reduced and phase error completely eliminated.
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