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Combined Use of Multiple Cloud-Free Snow Cover Products in China and Its High-Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection

文献类型：期刊论文

作者Zhang, Longhui3,4,5; Zhang, Hongbo3,4,5; Sun, Xueyan2; Luo, Lun1
刊名WATER RESOURCES RESEARCH
出版日期2024-06-01
卷号60期号:6页码:e2023WR036274
关键词cloud-free snow cover products snow cover mapping snow phenology multi-product combination China Tibetan Plateau
DOI10.1029/2023WR036274
产权排序3
文献子类Article
英文摘要Accurate snow phenology detection, including snow cover days (SCD), snow start date (SSD), and snow end date (SED), is increasingly important for understanding mountain hydrology such as snow heterogeneity and snowmelt seasonality. Multiple cloud-free daily snow cover products have recently been developed in China, employing diverse retrieval algorithms and cloud-gap-filling methods, resulting in varying accuracy levels. However, comprehensive analysis of differences among products and their impact on snow phenology detection is lacking. This study systematically evaluates eight state-of-the-art snow cover products in China, focusing on the challenging Tibetan Plateau (TP). We introduce a novel metric, the consistency-weighted correlation coefficient (CWR), customized for SSD and SED detection, and propose product-combining schemes like ensemble voting and sensor preference to enhance reliability. Our findings highlight the prime influence of retrieval algorithms under clear-sky conditions on accuracy, surpassing the importance of cloud-gap-filling methods. Specifically, a product optimizing normalized difference snow index thresholds for diverse landcover types consistently outperforms others in detecting all three snow phenology parameters, with correlation coefficients for SCD of 0.82 and 0.69, and CWR values for SSD of 0.54 and 0.40, and for SED of 0.53 and 0.37 in both China and the TP, respectively. Moreover, our proposed scheme combining three high-accuracy products significantly enhances snow cover identification and SCD detection, especially when the best-performing product alone faces substantial uncertainty. These findings provide immediate, crucial implications for optimizing the use of multiple cloud-free products to enhance snow phenology detection, ultimately advancing the applicability of derived snow parameters in mountain hydrology research.
WOS关键词TIBETAN PLATEAU ; ACCURACY ASSESSMENT ; EXTENT PRODUCT ; SYSTEM DATA ; IN-SITU ; MODIS ; VARIABILITY ; DEPTH ; AREA ; TRENDS
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS记录号WOS:001239160800001
出版者AMER GEOPHYSICAL UNION
源URL[http://ir.igsnrr.ac.cn/handle/311030/205331]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Zhang, Hongbo
作者单位1.Res Ctr Appl Geol China Geol Survey, Middle Yarlung Zangbo River Nat Resources Observat, Chengdu, Peoples R China
2.China Agr Univ, Yantai Res Inst, Yantai, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
4.China Agr Univ, Coll Water Resources & Civil Engn, Beijing, Peoples R China
5.China Agr Univ, Natl Key Lab Efficient Utilizat Agr Water Resource, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Longhui,Zhang, Hongbo,Sun, Xueyan,et al. Combined Use of Multiple Cloud-Free Snow Cover Products in China and Its High-Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection[J]. WATER RESOURCES RESEARCH,2024,60(6):e2023WR036274.
APA Zhang, Longhui,Zhang, Hongbo,Sun, Xueyan,&Luo, Lun.(2024).Combined Use of Multiple Cloud-Free Snow Cover Products in China and Its High-Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection.WATER RESOURCES RESEARCH,60(6),e2023WR036274.
MLA Zhang, Longhui,et al."Combined Use of Multiple Cloud-Free Snow Cover Products in China and Its High-Mountain Region: Implications From Snow Cover Identification to Snow Phenology Detection".WATER RESOURCES RESEARCH 60.6(2024):e2023WR036274.

入库方式： OAI收割

来源：地理科学与资源研究所

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