Integration of a Road Surface Model into NWS Operations
Integration of a Road Surface Model into NWS Operations
复制标题
将路面模型集成到 NWS 运营中
DOI：
10.1175/bams-d-12-00037.1
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
J. Rutz
中科院分区：
文献类型：
--
作者：
J. Rutz
今天的冬季天气新闻是基于一个事件的气象强度，假设更强的事件会产生更大的公共影响。在现实中，公众影响涉及到许多因素，比如雪是否会在道路上堆积并影响交通。除了众多的环境因素外，社会因素(如通勤时间)使决策进一步复杂化。国家气象局(NWS)战略计划呼吁更加重视为我们的合作伙伴提供决策支持服务(DSS)，特别是在影响重大的活动期间。然而，确定事件何时会产生高影响条件往往仍然是一个挑战。虽然预报员应该意识到相关的社会因素，但他们也需要能够综合各种环境因素的客观工具，这些因素交织在产生高影响天气的过程中。尤其是在路面条件下，温度、湿度和温度之间的复杂相互作用…
Today's winter weather headlines are based on the meteorological strength of an event with the assumption that stronger events produce larger public impacts. In reality, public impacts involve many factors, such as whether or not snow will accumulate on roads and affect traffic. Along with numerous environmental factors, decisions are further complicated by societal factors (e.g., timing of the commute). The National Weather Service (NWS) Strategic Plan calls for increased emphasis on decision support services (DSS) to our partners, especially during high-impact events. However, determining when events will produce high-impact conditions often remains a challenge. While forecasters should be aware of the relevant societal factors, they also need objective tools capable of integrating over the wide range of environmental factors that intersect in producing high-impact weather. This is particularly true in the case of road surface conditions, where complex interactions between temperature, moisture, and the...