A skill assessment of techniques for real-time diagnosis and short-term prediction of tornado intensity using the WSR-88D
A skill assessment of techniques for real-time diagnosis and short-term prediction of tornado intensity using the WSR-88D
复制标题
使用 WSR-88D 进行龙卷风强度实时诊断和短期预测技术的技能评估
DOI：
10.15191/nwajom.2016.0413
复制
发表时间：
2016
影响因子：
3
通讯作者：
J. Gibbs
中科院分区：
文献类型：
--
作者：
J. Gibbs
Recent advancements in the science of tornado detection have allowed the National Weather Service (NWS) Warning Decision Training Division to incorporate real-time tornado intensity estimation into guidance available to NWS forecasters. This guidance focuses specifically on differentiating between strong/violent (EF2+) and weak (EF0–1) tornadoes. This study evaluates the skill of a portion of that guidance, specifically the quantification of the relationship between rotational velocity signatures and the height of tornadic debris signatures (TDSs) with observed EF-scale tornado damage. The guidance is found to be sufficiently skillful at diagnosing tornado intensity. Perhaps most usefully, when attempting to differentiate between weak and strong/violent tornadoes in real-time, skill scores peak at the threshold of 20.57 m s –1 (40 kt) of rotational velocity when the velocity couplet is combined with a TDS. Skill sufficient for operational decision making also is evaluated and found in other permutations of rotational velocity, with and without a TDS, and the guidance regarding the height of the TDS. Beyond realtime diagnosis, several subjectively analyzed radar parameters show skill within the dataset at differentiating between strong/violent and weak tornadoes with lead times of 2–3 volume scans.
