The factors governing daily near-surface air temperature variability over land
The factors governing daily near-surface air temperature variability over land
批准号:
1939988
负责人:
Karen McKinnon
金额:
$61.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-02-01 至 2025-01-31
中文摘要
地表气温的热、冷和极端与大气环流模式有明显的联系,例如,美国大陆最低的温度与极锋后面的空气向南流动有关,而夏季热浪与停滞的高压系统有关。但是,虽然大气环流的影响从天气图中很明显,但下垫面也会影响热事件和冷事件的严重程度。例如,如果土壤是湿的,由于蒸发冷却,热浪期间的最高地表空气温度可能会较低,因此土壤湿度可能在限制温度波动的幅度方面发挥重要作用。其他地表属性包括积雪、反射率和地表粗糙度被认为影响地表气温变率,但这些属性的影响程度很难量化。本项目研究大气环流和陆面属性对地表气温变率的影响,试图确定1)仅靠大尺度大气环流可以解释的温度变率的比例,以及这种变化如何随位置和季节的变化而变化;2)在控制大尺度大气环流后,地表影响地表气温的关键途径;3)地表能在多大程度上改变极端事件的大小,并可能允许亚季节性到季节性的可预测性。指数指数使用统计方法,仅根据高空大气环流来生成最适合的地面气温模式,然后将这些环流得出的温度模式的统计数据与实际温度统计数据进行比较,以确定两者的差异意味着地表属性具有很大作用的区域和季节。在这种观测分析之后,用一系列模型进行数值实验,以了解陆地表面影响温度变化的物理机制。模型层次结构包括耦合到简单陆地界面模型(SLIM)的社区大气模型(CAM),该陆地表面模型被配置为允许直接控制重要的陆地表面属性。使用CAM-SLIM和其他模型配置进行的敏感性研究结果被应用于北美、欧洲和澳大利亚最近的热浪分析。极端温度通过死亡、作物损失和基础设施故障等影响对人类福祉产生大量影响。更好地了解陆地表面特性在确定这些极端事件的严重程度方面所起的作用,将有助于预测它们的发生,以及它们的频率和强度可能受到气候变化的影响的程度。这项工作还将通过开发和传播SLIM惠及更广泛的科学界,这项工作将作为社区地球系统模型公开发布的一部分提供。该项目还包括通过大气研究和科学重大机遇(SOARS)计划进行的教育和推广,并支持一名研究生和一名博士后研究协会。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Hot and and cold extremes of surface air temperature have a clear association with atmospheric circulation patterns, for instance the coldest temperatures over the continental US are associated with the southward flow of air behind the polar front while summer heat waves are associated with stalled high pressure systems. But while the influence of atmospheric circulation is evident from weather maps, the underlying land surface can also affect the severity of hot and cold events. For instance the maximum surface air temperature during a heat wave could be lower due to evaporative cooling if the soil is wet, thus soil moisture could play an important role in limiting the magnitude of temperature fluctuations. Other surface properties including snow cover, reflectivity, and surface roughness are thought to influence surface air temperature variability, but the extent of the influence of these properties is difficult to quantify.This project examines the effects of atmospheric circulation and land surface properties on surface air temperature variability, seeking to determine 1) the fraction of temperature variability that can be explained by the large-scale atmospheric circulation alone, and how this varies as a function of location and season; 2) the key pathways through which the land surface can influence surface air temperature after controlling for the large-scale atmospheric circulation; and 3) the extent to which the land surface can modify the magnitude of extreme events, and may allow for subseasonal to seasonal predictability. The PIs use statistical methods to generate best-fit surface air temperature patterns based solely on the atmospheric circulation aloft, then compare the statistics of these circulation-derived temperature patterns to the actual temperature statistics to identify regions and seasons where differences in the two imply a strong role for surface properties. This observational analysis is followed by numerical experiments with a hierarchy of models to understand the physical mechanisms through which the land surface affects temperature variations. The model hierarchy includes the Community Atmosphere Model (CAM) coupled to the Simple Land Interface Model (SLIM), a land surface model configured to allows direct control of important land surface properties. Results of sensitivity studies carried out with CAM-SLIM and other model configurations are applied to the analysis of recent heat waves in North America, Europe, and Australia.Temperature extremes have numerous effects on human well being through impacts such as mortality, crop losses, and infrastructure failure. Better understanding of the role played by land surface properties in determining the severity of these extremes could prove useful in anticipating their occurrence, and the extent to which their frequency and intensity may be affected by climate change. The work will also benefit the broader scientific community through the development and dissemination of SLIM, which will be made available as part of a public release of the Community Earth System Model. The project also includes education and outreach through the Significant Opportunities in Atmospheric Research and Science (SOARS) program, and supports a graduate student and a postdoctoral research associate.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.
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DOI:
10.1038/s41558-021-01076-9
发表时间:
2021-06
期刊:
Nature Climate Change
影响因子:
30.7
作者:
[K. McKinnon;A. Poppick;I. Simpson]
通讯作者:
K. McKinnon;A. Poppick;I. Simpson
Improvements in Wintertime Surface Temperature Variability in the Community Earth System Model Version 2 (CESM2) Related to the Representation of Snow Density
社区地球系统模型版本 2 (CESM2) 中与雪密度表示相关的冬季地表温度变化的改进
DOI:
10.1029/2021ms002880
发表时间:
2022
期刊:
Journal of Advances in Modeling Earth Systems
影响因子:
6.8
作者:
[Simpson, Isla R., Lawrence, David M., Swenson, Sean C., Hannay, Cecile, McKinnon, Karen A., Truesdale, John E.]
通讯作者:
Truesdale, John E.
Understanding responses of summer continental daily temperature variance to perturbations in the land surface evaporative resistance
了解夏季大陆日气温变化对地表蒸发阻力扰动的响应
DOI:
10.1175/jcli-d-21-1011.1
发表时间:
2022
期刊:
Journal of Climate
影响因子:
4.9
作者:
[Kong, Wenwen, McKinnon, Karen A., Simpson, Isla R., Laguë, Marysa M.]
通讯作者:
Laguë, Marysa M.
DOI:
10.1175/jcli-d-21-0156.1
发表时间:
2022-12-15
期刊:
JOURNAL OF CLIMATE
影响因子:
4.9
作者:
[Horowitz, Russell L., McKinnon, Karen A., Simpson, Isla R.]
通讯作者:
Simpson, Isla R.
DOI:
10.1029/2022gl100380
发表时间:
2022-09-28
期刊:
GEOPHYSICAL RESEARCH LETTERS
影响因子:
5.2
作者:
[McKinnon, Karen A., Simpson, Isla R.]
通讯作者:
Simpson, Isla R.
CAREER: Understanding Changes in Summertime Continental Temperature Extremes
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批准号:2338237
-
项目类别:Standard Grant
-
资助金额:$94.45万
-
财政年份:2024
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负责人:Karen McKinnon
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依托单位:
海外基金