气候变化领域集成服务门户(CCPortal): Estimation of the terms acting on local 1h surface temperature variations in Paris region: The specific contribution of clouds

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DOI	10.5194/acp-21-15699-2021
	Estimation of the terms acting on local 1h surface temperature variations in Paris region: The specific contribution of clouds
	Rojas Muñoz O.J.; Chiriaco M.; Bastin S.; Ringard J.
发表日期	2021
ISSN	1680-7316
起始页码	15699
结束页码	15723
卷号	21 期号:20
英文摘要	Local short-term temperature variations at the surface are mainly dominated by small-scale processes coupled through the surface energy balance terms, which are well known but whose specific contribution and importance on the hourly scale still need to be further analyzed. A method to determine each of these terms based almost exclusively on observations is presented in this paper, with the main objective being to estimate their importance in hourly near-surface temperature variations at the SIRTA observatory, near Paris. Almost all terms are estimated from the multi-year dataset SIRTA-ReOBS, following a few parametrizations. The four main terms acting on temperature variations are radiative forcing (separated into clear-sky and cloudy-sky radiation), atmospheric heat exchange, ground heat exchange, and advection. Compared to direct measurements of hourly temperature variations, it is shown that the sum of the four terms gives a good estimate of the hourly temperature variations, allowing a better assessment of the contribution of each term to the variation, with an accurate diurnal and annual cycle representation, especially for the radiative terms. A random forest analysis shows that whatever the season, clouds are the main modulator of the clear-sky radiation for 1h temperature variations during the day and mainly drive these 1h temperature variations during the night. Then, the specific role of clouds is analyzed exclusively in cloudy conditions considering the behavior of some classical meteorological variables along with lidar profiles. Cloud radiative effect in shortwave and longwave and lidar profiles show a consistent seasonality during the daytime, with a dominance of mid- and high-level clouds detected at the SIRTA observatory, which also affects near-surface temperatures and upward sensible heat flux. During the nighttime, despite cloudy conditions and having a strong cloud longwave radiative effect, temperatures are the lowest and are therefore mostly controlled by larger-scale processes at this time. © Authors 2021
语种	英语
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246484
作者单位	LATMOS/IPSL, UVSQ, Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, 78280, France
推荐引用方式 GB/T 7714	Rojas Muñoz O.J.,Chiriaco M.,Bastin S.,et al. Estimation of the terms acting on local 1h surface temperature variations in Paris region: The specific contribution of clouds[J],2021,21(20).
APA	Rojas Muñoz O.J.,Chiriaco M.,Bastin S.,&Ringard J..(2021).Estimation of the terms acting on local 1h surface temperature variations in Paris region: The specific contribution of clouds.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(20).
MLA	Rojas Muñoz O.J.,et al."Estimation of the terms acting on local 1h surface temperature variations in Paris region: The specific contribution of clouds".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.20(2021).