气候变化领域集成服务门户(CCPortal): A simple framework to characterize land aridity based on surface energy partitioning regimes

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DOI	10.1088/1748-9326/ac50d4
	A simple framework to characterize land aridity based on surface energy partitioning regimes
	He, Qing; Lu, Hui; Yang, Kun; Leung, L. Ruby; Pan, Ming; He, Jie; Yao, Panpan
通讯作者	Lu, H (通讯作者)
发表日期	2022
ISSN	1748-9326
卷号	17 期号:3
英文摘要	Land aridity is often characterized by the aridity index (AI), which does not account for land surface water-energy interactions that are crucially important in determining regional climate. Such interactions can be captured by the evaporative fraction (EF, ratio of evapotranspiration to available energy) regimes. As EF is subject to energy and water limitations in humid and dry areas, respectively, EF regimes may be used to characterize land aridity to account for the influence of complex land characteristics and their impact on water availability. Here, we propose a simple framework to characterize land aridity by statistically ranking the coupling strength between EF and surface energy and water terms. The framework is demonstrated using gridded data and compared with AI over the U.S. and China. Results show that regionalization of aridity zones based on EF regimes and a two-tiered classification scheme may provide information such as surface energy and water variability complementary to the background aridity depicted by AI, with implications for extreme events.
关键词	SOIL-MOISTURE CLIMATE EVAPORATION PERIODS MEMORY CHINA WATER HEAT TERM
英文关键词	land aridity; land-atmosphere interactions; evaporative fraction regimes
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000758431100001
来源期刊	ENVIRONMENTAL RESEARCH LETTERS
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260721
推荐引用方式 GB/T 7714	He, Qing,Lu, Hui,Yang, Kun,et al. A simple framework to characterize land aridity based on surface energy partitioning regimes[J]. 中国科学院青藏高原研究所,2022,17(3).
APA	He, Qing.,Lu, Hui.,Yang, Kun.,Leung, L. Ruby.,Pan, Ming.,...&Yao, Panpan.(2022).A simple framework to characterize land aridity based on surface energy partitioning regimes.ENVIRONMENTAL RESEARCH LETTERS,17(3).
MLA	He, Qing,et al."A simple framework to characterize land aridity based on surface energy partitioning regimes".ENVIRONMENTAL RESEARCH LETTERS 17.3(2022).