气候变化领域集成服务门户(CCPortal): Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba

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	Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba; Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba
	de la Cruz, Arisleidys Pena; Delgado-Tellez, Ricardo; Savon-Vaciano, Yusmira; Sierra, Carlos Alberto Miranda
发表日期	2024 ; 2024
ISSN	2310-3469 ; 2310-3469
起始页码	12 ; 12
结束页码	1 ; 1
卷号	12 期号:1
英文摘要	Local-scale weather and climate modeling in mountains has been relevant for the study of agroforestry ecosystems and their future evolution. The study aimed to integrate a set of high-resolution spatial data to the WRF numerical meteorological prediction and research model, suitable for meteorological and local climate analysis in the mountains of Cuba. In the study, priority spatial data were defined as those referring to the relief, the land mask as the ocean-soil interface, the type of cover and type of soil. The national or global highresolution spatial databases of the best quality and most appropriate to the characteristics of the model were selected. The databases integrated into the WRF had spatial resolution between approximately 0.95 and 0.03 km in Ecuador. The increase and updating of spatial data strengthened the model's capacity for the analysis of the geographic factors that shape the local climate, promoting better performance in the mountains. The research results could contribute to meteorological and climate monitoring and forecasting at a local scale for the mountains of Cuba. Likewise, studies and risk management associated with forest fires, severe hydrometeorological events, climate variability, climate change, and other dangers related to the climate system that have affected Cuban agroforestry ecosystems would benefit.; Local-scale weather and climate modeling in mountains has been relevant for the study of agroforestry ecosystems and their future evolution. The study aimed to integrate a set of high-resolution spatial data to the WRF numerical meteorological prediction and research model, suitable for meteorological and local climate analysis in the mountains of Cuba. In the study, priority spatial data were defined as those referring to the relief, the land mask as the ocean-soil interface, the type of cover and type of soil. The national or global highresolution spatial databases of the best quality and most appropriate to the characteristics of the model were selected. The databases integrated into the WRF had spatial resolution between approximately 0.95 and 0.03 km in Ecuador. The increase and updating of spatial data strengthened the model's capacity for the analysis of the geographic factors that shape the local climate, promoting better performance in the mountains. The research results could contribute to meteorological and climate monitoring and forecasting at a local scale for the mountains of Cuba. Likewise, studies and risk management associated with forest fires, severe hydrometeorological events, climate variability, climate change, and other dangers related to the climate system that have affected Cuban agroforestry ecosystems would benefit.
英文关键词	numerical meteorological models; topoclimates; agroforestry ecosystems; numerical meteorological models; topoclimates; agroforestry ecosystems
语种	英语 ; 英语
WOS研究方向	Forestry ; Forestry
WOS类目	Forestry ; Forestry
WOS记录号	WOS:001183580000001 ; WOS:001183580000001
来源期刊	REVISTA CUBANA DE CIENCIAS FORESTALES ; REVISTA CUBANA DE CIENCIAS FORESTALES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294084
推荐引用方式 GB/T 7714	de la Cruz, Arisleidys Pena,Delgado-Tellez, Ricardo,Savon-Vaciano, Yusmira,et al. Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba, Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba[J],2024, 2024,12, 12(1).
APA	de la Cruz, Arisleidys Pena,Delgado-Tellez, Ricardo,Savon-Vaciano, Yusmira,&Sierra, Carlos Alberto Miranda.(2024).Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba.REVISTA CUBANA DE CIENCIAS FORESTALES,12(1).
MLA	de la Cruz, Arisleidys Pena,et al."Spatial data integrated into numerical model for analysis meteorological and local climate in mountains of Cuba".REVISTA CUBANA DE CIENCIAS FORESTALES 12.1(2024).