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Adapting the SAL method to evaluate reflectivity forecasts of summer precipitation in the central United?States

机译:调整 SAL 方法以评估美国中部地区夏季降水的反射率预报

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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.
机译:结构幅度定位(SAL)方法最初是通过对预测场和观测场中的对象进行识别和比较来评估预测累积降水场的方法。这项研究描述了一种用于瞬时复合反射率预测的小修改,其中规定了对象的最小尺寸和反射率阈值。原始和改进的SAL方法都用于评估每日0000?在2015年夏季,UTC 12公里的北美模式(NAM)预测相对于NCEP / EMC 4公里的IV阶段IV累积降水估计,针对美国中部地区。结果显示出对反射率阈值的显着敏感性。随着阈值的增加,这很可能与对流细胞核心的更多信号采样有关,并逐渐忽略了层状雨区。将阈值设置得太高(40?dBZ)只能得到可计算错误分数的时间段的7%,而使用较低阈值(5?dBZ)则只有94%。两种方法之间的主要区别是使用反射率在SAL中存在较大的结构误差,这可能与12 km NAM预测中未解决的对流峰有关;在评估累积降水量时,可以消除此误差。使用反射率的SAL还揭示了技能的昼夜循环,最低技能发生在1800–2200左右? UTC(当地时间早至傍晚,在平均对流活动达到最大值之前)和最大技能发生在1000左右? UTC(就在日出之前)。我们得出的结论是,两种方法均会产生有用的结果,但此处介绍的结果可能无法推广到其他验证域或SAL公式。

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