Collaborative Research: Sundowner Winds EXperiment (SWEX) in Santa Barbara, California

合作研究：加利福尼亚州圣巴巴拉的日落风实验 (SWEX)

基本信息

批准号：
1921554
负责人：
Harindra Fernando
金额：
$ 43.5万
依托单位：
University of Notre Dame
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921554&HistoricalAwards=false
关键词：
Collaborative Research Sundowner Winds EXperiment

项目摘要

Wildfires are among the greatest natural hazards in the Western U.S. and other parts of the world. The numerous tragic events in recent years in California have exposed the great vulnerability of the population to wildfires and the critical need to improve understanding and enhance predictability of windstorms in complex terrain. Coastal Santa Barbara County (SB), with a population exceeding 130,000 inhabitants, is among the most exposed communities to wildfire hazards in southern California. The Santa Ynez Mountains rise abruptly from coastal SB separating the Pacific Ocean on its south face from the Santa Ynez Valley on its north face. Downslope, dry and gusty windstorms are frequently observed on the southern-facing slopes of the Santa Ynez Mountains. These winds typically intensify around sunset and throughout the night, and are known as "Sundowner winds" or "Sundowners". They are considered the most significant fire-weather regime in coastal SB and pose hazardous conditions to aviation. They have enhanced the severity of all major wildfires affecting the SB coastal population. Therefore, improved weather warnings and forecast lead time, including spatiotemporal specificity of where winds will be strongest, are critical to increase resilience to wildfires. Sundowners exhibit large spatiotemporal variability and are driven by unique complex mechanisms. The Sundowner Winds Experiment (SWEX) will investigate these unique aspects of Sundowners to advance the understanding and predictability of these winds, while providing rich data sets for developing new theories of downslope windstorms in coastal environments with similar geographic and climatic characteristics. This will be accomplished with strategic meteorological observations of the atmospheric processes hypothesized to modulate Sundowner winds intensity and spatial variability. These results will significantly contribute to improve the predictability of windstorms in complex terrain in coastal environments, with significant impacts to large communities living in fire prone areas. The project will provide key outreach materials for dissemination to government agencies and the media and will educate the public about fire weather and natural disasters. Moreover, the project will support the development of new educational courses, and the training of undergraduate and graduate students, including minorities, in six universities in the U.S. Sundowners spatiotemporal characteristics are controlled by complex interactions between atmospheric processes occurring upstream, in the Santa Ynez Valley and San Rafael Mountains, and downstream due to the influence of a cool and stable marine boundary layer. The SWEX campaign is designed to enhance spatial measurements to resolve local circulations and vertical profiles from the boundary layer to the mid-troposphere, and from the SB channel to the Santa Ynez Valley. These observations will be used to test hypotheses concerning the mechanisms controlling Sundowner winds, evaluate mesoscale simulations and improve lead time forecasts of Sundowners. More specifically, the multi-sensor platforms and aircraft will be utilized to investigate how the structure and dynamics of the marine and continental Boundary Layers (BL) influence mountain flows during Sundowners and undisturbed periods, including intensity, timing and geographic characteristics of downslope winds, temperatures and humidity. These measurements will enable to examine underlying mechanisms relating high amplitude mountain waves, critical layers, and surface wind intensity leeward of the Santa Ynez Mountains. These observations will be utilized to investigate how variations in BL structure and tropospheric stability control mountain wave flows and the lee-slope jet, and the importance of these mechanisms for the predictability of Sundowner winds. SWEX brings cutting-edge science, the state-of-art facilities at National Center for Atmospheric Research and multiple instrumental platforms to bear on this important problem. It will build linkages with those responsible for predictions and fire response in a region that is representative of many areas with similar vulnerabilities. SWEX will improve the capability of the National Weather Service to forecast weather hazards in the Los Angeles area, specifically in coastal SB. Thus this project has substantial broader impacts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

野火是美国西部和世界其他地区最严重的自然灾害之一。近年来加州发生的众多悲惨事件暴露了人们在野火面前的巨大脆弱性，以及迫切需要提高对复杂地形风暴的了解和增强可预测性。沿海圣巴巴拉县 (SB) 人口超过 13 万，是南加州受野火危害最严重的社区之一。圣伊内斯山脉从海岸线突然升起，将其南面的太平洋与北面的圣伊内斯山谷分开。在圣伊内斯山脉朝南的山坡上，经常会出现下坡、干燥和阵风的风暴。这些风通常在日落前后和整个夜间增强，被称为“日落风”或“日落风”。它们被认为是沿海地区最重要的火灾天气状况，对航空造成危险。它们提高了影响 SB 沿海人口的所有重大野火的严重程度。因此，改善天气预警和预报提前时间，包括风力最强的时空特异性，对于增强应对野火的能力至关重要。日落表现出巨大的时空变异性，并由独特的复杂机制驱动。日落风实验（SWEX）将研究日落风的这些独特方面，以促进对这些风的理解和可预测性，同时提供丰富的数据集，以开发具有相似地理和气候特征的沿海环境中的下坡风暴的新理论。这将通过对假设调节日落风强度和空间变化的大气过程进行战略气象观测来实现。这些结果将极大地有助于提高沿海环境复杂地形中风暴的可预测性，对生活在火灾易发地区的大型社区产生重大影响。该项目将提供重要的宣传材料，以便向政府机构和媒体传播，并对公众进行有关火灾天气和自然灾害的教育。此外，该项目还将支持美国六所大学新教育课程的开发以及本科生和研究生（包括少数族裔）的培训。日落时空特征是由圣伊内斯山谷上游发生的大气过程之间复杂的相互作用控制的。和圣拉斐尔山脉，以及下游，由于凉爽而稳定的海洋边界层的影响。 SWEX 活动旨在增强空间测量，以解决从边界层到对流层中层以及从 SB 通道到圣伊内斯山谷的局部环流和垂直剖面问题。这些观测结果将用于检验有关控制日落风机制的假设，评估中尺度模拟并改进日落风的提前时间预测。更具体地说，多传感器平台和飞机将用于研究海洋和大陆边界层（BL）的结构和动态如何影响日落和未受干扰期间的山流，包括下坡风的强度、时间和地理特征，温度和湿度。这些测量将能够检查与高振幅山波、关键层和圣伊内斯山脉背风面表面风强度相关的潜在机制。这些观测结果将用于研究 BL 结构和对流层稳定性的变化如何控制山波流和背风坡急流，以及这些机制对于日落风可预测性的重要性。 SWEX 带来了尖端科学、国家大气研究中心最先进的设施和多个仪器平台来解决这一重要问题。它将与负责该地区预测和火灾响应的人员建立联系，该地区代表了许多具有类似脆弱性的地区。 SWEX 将提高国家气象局预报洛杉矶地区天气灾害的能力，特别是沿海地区。因此，该项目具有更广泛的影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

A Hybrid Bulk Algorithm to Predict Turbulent Fluxes over Dry and Wet Bare Soils

预测干湿裸土湍流通量的混合体算法

DOI：
10.1175/jamc-d-20-0232.1
发表时间：
2022-01
期刊：
Journal of Applied Meteorology and Climatology
影响因子：
3
作者：
Grachev; A.
通讯作者：
A.

Observations of Stably Stratified Flow through a Microscale Gap

通过微尺度间隙的稳定分层流的观测

DOI：
10.1175/jas-d-20-0087.1
发表时间：
2021-01
期刊：
Journal of the Atmospheric Sciences
影响因子：
3.1
作者：
Vassallo, Daniel;Krishnamurthy, Raghavendra;Menke, Robert;Fernando, Harindra J.
通讯作者：
Fernando, Harindra J.

Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2

WFIP2 期间模拟哥伦比亚河流域夏季风况的 HRRR 模型技能的多普勒激光雷达评估

DOI：
10.1175/waf-d-21-0012.1
发表时间：
2021-09
期刊：
Weather and Forecasting
影响因子：
2.9
作者：
Banta, Robert M.;Pichugina, Yelena L.;Darby, Lisa S.;Brewer, W. Alan;Olson, Joseph B.;Kenyon, Jaymes S.;Baidar, S.;Benjamin, S.G.;Fernando, H.J.S.;Lantz, K.O.;et al
通讯作者：
et al

The Influence of the Wind Field and Stratification on the Nocturnal Surface Air Temperature over Modest Topography

风场和层结对平缓地形夜间地表气温的影响