Adapting the SAL method to evaluate reflectivity forecasts of summer precipitation in the central United States
详细信息    查看全文
  • 作者:John R. Lawson and William A. Gallus Jr
  • 刊名:Atmospheric Science Letters
  • 出版年:2016
  • 出版时间:October 2016
  • 年:2016
  • 卷:17
  • 期:10
  • 页码:524-530
  • 全文大小:8348K
  • ISSN:1530-261X
文摘
The Structure Amplitude Location (SAL) method was originally developed to evaluate forecast accumulated-precipitation fields through identification and comparison of objects in both the forecast and the observed fields. This study describes a small modification for use with instantaneous composite-reflectivity forecasts, where objects' minimum size and reflectivity thresholds are prescribed. Both the original and modified SAL methods are used to evaluate daily 0000 UTC 12-km North American Model (NAM) forecasts, against NCEP/EMC 4-km Stage IV accumulated-precipitation estimates, during the summer of 2015 for a central US domain. Results show substantial sensitivity to the reflectivity threshold. This is likely related to sampling more signal from convective cell cores, and progressively ignoring stratiform rain areas, as threshold increases. Setting the threshold too high (40 dBZ) yields only 7% of time periods on which error scores can be computed, as opposed to 94% using a low threshold (5 dBZ). The primary difference between the two methods is a larger structural error in SAL using reflectivity, likely related to the unresolved convective peaks in the 12-km NAM forecasts; this error is smoothed out when accumulated precipitation is evaluated. SAL using reflectivity also reveals a diurnal cycle of skill, with minimum skill occurring around 1800–2200 UTC (early to late afternoon local time, before average convective activity reaches its maximum) and maximum skill occurring around 1000 UTC (just before sunrise). We conclude that both methods yield useful results, but results presented herein may not be generalisable to other verification domains or SAL formulations.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700