Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin
Identification and Characterization of Persistent Cold Pool Events from Temperature and Wind Profilers in the Columbia River Basin
复制标题
哥伦比亚河流域温度和风廓线仪对持续冷池事件的识别和表征
DOI：
--
复制
发表时间：
--
期刊：
影响因子：
--
通讯作者：
P. A. M. Uradyan
中科院分区：
文献类型：
--
作者：
K. A. M. C. C. Affrey;J. A. M. W. Ilczak;L. A. B. Ianco;E. R. G. Rimit;J. U. S. Harp;R. O. B. Anta;K. A. F. Riedrich;H. J. S. F. Ernando;R. A. K. Rishnamurthy;EO LAURAS.L;P. A. M. Uradyan
当深层稳定的冷空气被困在山谷或盆地中数天，而没有从白天的加热中混合出来时，就会发生冷池事件。Withlargeimpactsonairquality、freezingevents andespeciallyonwindenergyproduction theyareoftenpoorlyforecastbymodernmesoscalenumericalweatherprediction (NWP)模型。因此，了解冷池的特征对于提供更准确的预报非常重要。本研究利用第二次风预报改进项目（WFIP2）收集的数据分析了冷池特征，该项目于2015年秋季至2017年春季在哥伦比亚河流域和俄勒冈州和华盛顿州的峡谷进行。仪器的一个子集包括3台微波辐射计廓线仪、6台带无线电声学探测系统的雷达风廓线仪和7台雷达，它们共同提供了7个地点的温度、湿度、风速和风向的垂直廓线。利用这些组合观测数据，我们开发了一套标准，根据稳定性、风速、风向和时间连续性来确定是否存在冷池，然后基于这些标准开发了一种自动化算法，以识别现场项目18个月内的所有冷池事件。描述了这些事件的特征，包括风速分布和廓线、稳定条件、冷池深度和冷池顶部下降率的统计数据。本研究的目的是更好地理解这些特征及其过程，最终改善nwp模式的物理参数化，从而改善研究区域以及其他经历类似事件的地点的冷池事件的预测。
Cold pool events occur when deep layers of stable, cold air remain trapped in a valley or basin for multiple days, withoutmixingoutfromdaytimeheating.Withlargeimpactsonairquality,freezingevents,andespeciallyonwindenergyproduction,theyareoftenpoorlyforecastbymodernmesoscalenumericalweatherprediction(NWP) models. Understanding the characteristics of cold pools is, therefore, important to provide more accurate forecasts. This study analyzes cold pool characteristics with data collected during the Second Wind Forecast Improvement Project (WFIP2), which took place in the Columbia River basin and Gorge of Oregon and Washington from fall 2015 until spring 2017. A subset of the instrumentation included three microwave radiometer profilers, six radar wind profilers with radio acoustic sounding systems, and seven sodars, which together providedseven sites with collocated vertical profilesof temperature, humidity, wind speed, and wind direction. Using these collocated observations, we developed a set of criteria to determine if a cold pool was present based on stability, wind speed, direction, and temporal continuity, and then developed an automated algorithm based on these criteria to identify all cold pool events over the 18 months of the field project. Characteristics of these events are described, including statistics of the wind speed distributions and profiles, stability conditions, cold pool depths, and descent rates of the cold pool top. The goal of this study is a better understanding of these characteristics and their processes to ultimately lead to improved physical parame-terizationsin NWPmodels, and consequently improveforecasts of cold pool events in the study region as well at other locations that experiences similar events.