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  • 标题:A Developmental Framework for Improving Hurricane Model Physical Parameterizations Using Aircraft Observations
  • 本地全文:下载
  • 作者:Jun A. Zhang ; Sundararaman Gopalakrishnan ; Frank D. Marks
  • 期刊名称:Tropical Cyclone Research and Review
  • 印刷版ISSN:2225-6032
  • 出版年度:2012
  • 卷号:1
  • 期号:4
  • 页码:419-429
  • DOI:10.6057/2012TCRR04.01
  • 出版社:Elsevier BV
  • 摘要:As part of NOAA’s Hurricane Forecast Improvement Program (HFIP), this paper addresses the important role of aircraft observations in hurricane model physics validation and improvement. A model developmental framework for improving the physical parameterizations using quality-controlled and post-processed aircraft observations is presented, with steps that include model diagnostics, physics development, physics implementation and further evaluation. Model deficiencies are first identified through model diagnostics by comparing the simulated axisymmetric multi-scale structures to observational composites. New physical parameterizations are developed in parallel based on in-situ observational data from specially designed hurricane field programs. The new physics package is then implemented in the model, which is followed by further evaluation. The developmental framework presented here is found to be successful in improving the surface layer and boundary layer parameterization schemes in the operational Hurricane Weather Research and Forecast (HWRF) model. Observations for improving physics packages other than boundary layer scheme are also discussed.
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