气候变化领域集成服务门户(CCPortal): Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model

CCPortal

DOI	10.5194/acp-22-15509-2022
	Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model
	Goncalves, Layrson J. M.; Coelho, Simone M. S. C.; Kubota, Paulo Y.; Souza, Dayana C.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	15509
结束页码	15526
卷号	22 期号:23 页码:18
英文摘要	Observational meteorological data from the field experiment GoAmazon 2014/15 and data from numerical simulations with the cloud-resolving model (CRM) called the System for Atmospheric Modeling (SAM) are used to study the interaction between the cloudiness-radiation as well as the atmospheric dynamics and thermodynamics variables for a site located in the central Amazon region (-3.2 & LCIRC; S, -60.6 & LCIRC; W) during the wet and dry periods. The main aims are to (a) analyze the temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux as well as (b) to determine the relationship between the integrated cloud fraction, radiative fluxes and large-scale variable anomalies as a function of the previous day's average. The temporal series of the integrated cloud fraction, precipitation rate and downward shortwave flux from SAM simulations showed physical consistency with the observations from GoAmazon 2014/15. Shallow and deep convection clouds show to have a meaningful impact on radiation fluxes in the Amazon region during wet and dry periods. Anomalies of large-scale variables (relative to the previous day's average) are physically associated with cloud formation, evolution and dissipation. SAM consistently simulated these results, where the cloud fraction vertical profile shows a pattern very close to the observed data (cloud type). Additionally, the integrated cloud fraction and large-scale variable anomalies, as a function of the previous day's average, have a good correlation. These results suggest that the memory of the large-scale dynamics from the previous day can be used to estimate the cloud fraction as well as the water content, which is a variable of the cloud itself. In general, the SAM satisfactorily simulated the interaction between cloud-radiation as well as dynamic and thermodynamic variables of the atmosphere during the periods of this study, being able to obtain atmospheric variables that are impossible to obtain in an observational way.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000895801500001
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/273448
作者单位	Instituto Nacional de Pesquisas Espaciais (INPE)
推荐引用方式 GB/T 7714	Goncalves, Layrson J. M.,Coelho, Simone M. S. C.,Kubota, Paulo Y.,et al. Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model[J],2022,22(23):18.
APA	Goncalves, Layrson J. M.,Coelho, Simone M. S. C.,Kubota, Paulo Y.,&Souza, Dayana C..(2022).Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(23),18.
MLA	Goncalves, Layrson J. M.,et al."Interaction between cloud-radiation, atmospheric dynamics and thermodynamics based on observational data from GoAmazon 2014/15 and a cloud-resolving model".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.23(2022):18.