...
首页> 外文期刊>Geophysical Research Letters >Predictability of horizontal water vapor transport relative to precipitation: Enhancing situational awareness for forecasting western US extreme precipitation and flooding
【24h】

Predictability of horizontal water vapor transport relative to precipitation: Enhancing situational awareness for forecasting western US extreme precipitation and flooding

机译:水平水汽输送相对于降水的可预测性:增强态势感知,以预测美国西部的极端降水和洪水

获取原文
获取原文并翻译 | 示例
           

摘要

The western United States is vulnerable to socioeconomic disruption due to extreme winter precipitation and floods. Traditionally, forecasts of precipitation and river discharge provide the basis for preparations. Herein we show that earlier event awareness may be possible through use of horizontal water vapor transport (integrated vapor transport (IVT)) forecasts. Applying the potential predictability concept to the National Centers for Environmental Prediction global ensemble reforecasts, across 31 winters, IVT is found to be more predictable than precipitation. IVT ensemble forecasts with the smallest spreads (least forecast uncertainty) are associated with initiation states with anomalously high geopotential heights south of Alaska, a setup conducive for anticyclonic conditions and weak IVT into the western United States. IVT ensemble forecasts with the greatest spreads (most forecast uncertainty) have initiation states with anomalously low geopotential heights south of Alaska and correspond to atmospheric rivers. The greater IVT predictability could provide warnings of impending storminess with additional lead times for hydrometeorological applications.
机译:由于冬季极端降雨和洪水,美国西部容易受到社会经济破坏的影响。传统上,对降水和河流流量的预报提供了准备的基础。本文中,我们表明可以通过使用水平水蒸气传输(综合蒸气传输(IVT))预测来实现更早的事件意识。将潜在的可预测性概念应用于美国国家环境预测中心全球整体预报,在31个冬季中,IVT比降水更可预测。 IVT集合预报的最小散布(最小的预测不确定性)与阿拉斯加以南异常高地势高度的初始状态有关,这有利于反气旋条件和弱势的IVT进入美国西部。具有最大点差(最大的不确定性)的IVT集合预报的起始状态具有异常低的阿拉斯加以南的地势高度,并且与大气河流相对应。 IVT具有更大的可预测性,可以为即将到来的暴风雨提供警告,并为水文气象应用增加交货时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号