Large Wave Events in a Changing Climate

气候变化中的大波浪事件

• 批准号: 1909522
• 负责人: Noboru Nakamura
• 金额: $ 92.25万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909522&HistoricalAwards=false
• 关键词: Large; Wave; Events; Changing; Climate

At the altitude of the jet streams the atmospheric circulation over the middle latitudes tends to be quite wavy, with high and low pressure centers moving westward roughly along the jet axes. But at times the waves slow down and grow quite large, forming a "block" in the jet-level flow. The blocked flow results in a stagnation of weather systems, which can lead to prolonged cold spells, excessive precipitation, and other forms of extreme weather. Naturally blocking has been a topic of intensive research for some time, but a satisfactory explanation for it has been elusive. One reason is that that much of the relevant wave dynamics theory assumes that the waves have small amplitudes, which is not the case for blocking. To remedy this mismatch the PI and his colleagues have developed a bulk measure of the waviness around a latitude circle called Finite Amplitude Wave Activity (FAWA), along with its longitudinally varying counterpart, Local Wave Activity (LWA, see AGS-1563307). FAWA and LWA are well suited to the study of blocking because they can be applied throughout the lifecycle of a block, even when the blocking pattern is quite pronounced.Recently the PI and his group developed a simple theory of blocking based on the relationship between mean jet speed and LWA. The idea of the theory is that an increase in wave activity slows down the jet stream, which slows down the propagation of waves along the jet. The slowdown leads to a pile-up of LWA which increases waviness and further slows down the jet. The formation of blocks by accumulation of LWA is analogous to the formation of a traffic jam, in which a slow-down on a highway leads to accumulation of cars which further slows highway speed until a jam is produced. The analogy is exact in the sense that the formation of a block by the piling up of LWA can be modeled using the classical traffic flow equation derived in papers from the the 1930s and 1950s.Here the PI uses his traffic jam theory of blocking to perform a diagnostic study of wave-mean flow interactions leading to blocks, using concepts from traffic flow theory to understand block formation. For instance the "capacity" of a jet stream, meaning the amount of LWA that can travel along a jet without initiating a slowdown in wave propagation, can be defined in analogy with the capacity of a highway for traffic. Quantities like capacity can be easily calculated from weather maps and from model simulations.Further work applies the FAWA/LWA framework to Sudden Stratospheric Warming (SSW) events, in which the stratospheric vortex circling the North Pole breaks down and stratospheric temperatures rise dramatically, sometimes over 100F within a few days. SSWs are thought to occur because the vortex is disrupted by upward-propagating waves, thus SSWs are a logical target for analysis using the FAWA/LWA framework.The work has broader impacts due to the extreme weather associated with blocks and the impact it has on human activities. Blocking events are difficult to predict, and simulations from state-of-the-art forecast models are generally deficient in blocking. The understanding developed in this work may thus be important for improved simulation and prediction of blocking. SSWs are equally challenging from a forecast perspective, and they can also affect surface weather in various ways. Codes for the calculation of FAWA and LWA from meteorological data are made available to the research community via github to promote their adoption and use. Education and outreach are conducted through a biennial summer school and a local community science center. In addition, the project supports two graduate students and a postdoctoral fellow, thereby fostering the next generation of scientists in this research area.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.

在急流的高度，中纬度地区的大气环流往往是波浪形的，高、低压中心大致沿着急流轴线向西移动。 但有时候，波浪会减慢并变得相当大，在喷流水平流中形成一个“块”。 阻塞的气流导致天气系统停滞，这可能导致长时间的寒冷天气，过度降水和其他形式的极端天气。 一段时间以来，自然阻塞一直是一个深入研究的话题，但对它的满意解释一直难以捉摸。原因之一是，大部分相关的波浪动力学理论都假设波浪的振幅很小，而阻塞的情况并非如此。 为了纠正这种不匹配，PI和他的同事们开发了一种称为有限振幅波活动（FAWA）的纬度圈周围的波度的整体测量，沿着与其纵向变化的对应物，局域波活动（LWA，参见AGS-1563307）。 FAWA和LWA非常适合阻塞研究，因为它们可以应用于阻塞的整个生命周期，即使阻塞模式非常明显。最近，PI和他的团队基于平均喷射速度之间的关系开发了一个简单的阻塞理论和LWA。 该理论的思想是，波浪活动的增加减缓了急流，从而减缓了波浪沿着急流的传播。 减速导致LWA堆积，这增加了波度并进一步减慢射流。通过LWA的积累形成块类似于交通堵塞的形成，其中高速公路上的减速导致汽车的积累，这进一步降低了高速公路的速度，直到产生堵塞。这个类比是准确的，因为LWA堆积形成的块可以用20世纪30年代和50年代的论文中推导出的经典交通流方程来模拟。在这里，PI使用他的阻塞交通堵塞理论对导致块的波-平均流相互作用进行诊断研究，使用交通流理论的概念来理解块的形成。 例如，急流的“容量”，即可以沿着射流沿着行进而不引起波传播减速的LWA的量，可以类似于高速公路的交通容量来定义。 进一步的工作将FAWA/LWA框架应用于平流层突然变暖（SSW）事件，在这种事件中，环绕北极的平流层涡旋破裂，平流层温度急剧上升，有时在几天内超过100 F。SSW被认为是由于涡旋被向上传播的波破坏而发生的，因此SSW是使用FAWA/LWA框架进行分析的逻辑目标。由于与块体相关的极端天气及其对人类活动的影响，这项工作具有更广泛的影响。 阻塞事件很难预测，最先进的预测模型的模拟通常在阻塞方面存在缺陷。 因此，在这项工作中开发的理解可能是重要的，以改善模拟和预测的阻塞。 从预报的角度来看，SSW同样具有挑战性，它们也可以以各种方式影响地表天气。 通过github向研究界提供了根据气象数据计算FAWA和LWA的代码，以促进其采用和使用。 通过两年一度的暑期学校和当地社区科学中心开展教育和外联活动。 此外，该项目还资助了两名研究生和一名博士后研究员，从而培养了该研究领域的下一代科学家。该奖项反映了NSF的法定使命，并通过使用基金会的知识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

The 2021 Pacific Northwest Heat Wave and Associated Blocking: Meteorology and the Role of an Upstream Cyclone as a Diabatic Source of Wave Activity

• DOI: 10.1029/2021gl097699
• 发表时间: 2022-04-28
• 期刊: GEOPHYSICAL RESEARCH LETTERS
• 影响因子: 5.2
• 作者: Neal, Emily;Huang, Clare S. Y.;Nakamura, Noboru
• 通讯作者: Nakamura, Noboru

What Controls the Probability Distribution of Local Wave Activity in the Midlatitudes?

• DOI: 10.1029/2020jd034501
• 发表时间: 2021-07
• 期刊: Journal of Geophysical Research: Atmospheres
• 作者: C. Valva;N. Nakamura

Why Are Stratospheric Sudden Warmings Sudden (and Intermittent)?

• DOI: 10.1175/jas-d-19-0249.1
• 发表时间: 2020-02
• 期刊: Journal of the Atmospheric Sciences
• 影响因子: 3.1
• 作者: N. Nakamura;J. Falk;Sandro W. Lubis