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局部加热在 2015 年印度热浪中的作用。

The role of local heating in the 2015 Indian Heat Wave.

机构信息

Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, Maryland, USA.

NASA Marshall Space Flight Center, Earth Science Branch, Huntsville, Alabama, USA.

出版信息

Sci Rep. 2017 Aug 9;7(1):7707. doi: 10.1038/s41598-017-07956-5.

DOI:10.1038/s41598-017-07956-5
PMID:28794447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5550505/
Abstract

India faced a major heat wave during the summer of 2015. Temperature anomalies peaked in the dry period before the onset of the summer monsoon, suggesting that local land-atmosphere feedbacks involving desiccated soils and vegetation might have played a role in driving the heat extreme. Upon examination of in situ data, reanalysis, satellite observations, and land surface models, we find that the heat wave included two distinct peaks: one in late May, and a second in early June. During the first peak we find that clear skies led to a positive net radiation anomaly at the surface, but there is no significant sensible heat flux anomaly within the core of the heat wave affected region. By the time of the second peak, however, soil moisture had dropped to anomalously low levels in the core heat wave region, net surface radiation was anomalously high, and a significant positive sensible heat flux anomaly developed. This led to a substantial local forcing on air temperature that contributed to the intensity of the event. The analysis indicates that the highly agricultural landscape of North and Central India can reinforce heat extremes under dry conditions.

摘要

2015 年夏季,印度遭遇了一场严重的热浪。在夏季季风来临前的干旱期,温度异常达到峰值,这表明当地土壤和植被干枯导致的陆地-大气反馈可能在推动这场极端高温中发挥了作用。通过对现场数据、再分析、卫星观测和陆面模型的检查,我们发现热浪包括两个明显的高峰:一个在 5 月底,另一个在 6 月初。在第一个高峰期间,我们发现晴朗的天空导致地表出现净辐射异常,但在受热浪影响核心区域内,感热通量异常并不明显。然而,到了第二个高峰时,核心热浪区域的土壤湿度已经降至异常低的水平,地表净辐射异常高,并且出现了显著的正感热通量异常。这导致了对空气温度的实质性局部强迫,从而加剧了事件的强度。分析表明,印度北部和中部高度农业化的景观在干燥条件下可能会加剧热浪极端事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/014c7c1d3268/41598_2017_7956_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/262b195288f6/41598_2017_7956_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/e4165feed6d1/41598_2017_7956_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/2989db8f9872/41598_2017_7956_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/94d6a3ab5f5f/41598_2017_7956_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/9cc2b3d2a343/41598_2017_7956_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/014c7c1d3268/41598_2017_7956_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/262b195288f6/41598_2017_7956_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/e4165feed6d1/41598_2017_7956_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/2989db8f9872/41598_2017_7956_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/94d6a3ab5f5f/41598_2017_7956_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/9cc2b3d2a343/41598_2017_7956_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52fd/5550505/014c7c1d3268/41598_2017_7956_Fig6_HTML.jpg

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本文引用的文献

1
On the Variability and Increasing Trends of Heat Waves over India.印度热浪的变异性和增加趋势。
Sci Rep. 2016 May 19;6:26153. doi: 10.1038/srep26153.
2
Anatomy of Indian heatwaves.印度热浪剖析。
Sci Rep. 2016 Apr 15;6:24395. doi: 10.1038/srep24395.
利用观测系统实验评估2018年东亚地区热浪期间观测对气象预报的影响。
Heliyon. 2023 Nov 29;9(12):e23064. doi: 10.1016/j.heliyon.2023.e23064. eCollection 2023 Dec.
4
Frequency dominates intensity of future heat waves over India.频率在印度未来热浪的强度中占主导地位。
iScience. 2023 Oct 19;26(11):108263. doi: 10.1016/j.isci.2023.108263. eCollection 2023 Nov 17.
5
Anthropogenic influence on the changing risk of heat waves over India.人为因素对印度热浪变化风险的影响。
Sci Rep. 2022 Feb 28;12(1):3337. doi: 10.1038/s41598-022-07373-3.
6
Investigation of Forest Fire Activity Changes Over the Central India Domain Using Satellite Observations During 2001-2020.利用2001 - 2020年卫星观测数据对印度中部地区森林火灾活动变化的调查
Geohealth. 2021 Dec 1;5(12):e2021GH000528. doi: 10.1029/2021GH000528. eCollection 2021 Dec.
7
Mechanisms and Empirical Modeling of Evaporation from Hardened Surfaces in Urban Areas.城市硬化表面蒸发的机理和经验建模。
Int J Environ Res Public Health. 2021 Feb 12;18(4):1790. doi: 10.3390/ijerph18041790.