气候变化领域集成服务门户(CCPortal): SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA

CCPortal

DOI	10.1214/23-AOAS1850
	SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA
	Jin, Bora; Herring, Amy H.; Dunson, David
发表日期	2024
ISSN	1932-6157
EISSN	1941-7330
起始页码	18
结束页码	2
卷号	18 期号:2
英文摘要	In this paper we predict sea surface salinity (SSS) in the Arctic Ocean based on satellite measurements. SSS is a crucial indicator for ongoing changes in the Arctic Ocean and can offer important insights about climate change. We particularly focus on areas of water mistakenly flagged as ice by satellite algorithms. To remove bias in the retrieval of salinity near sea ice, the algorithms use conservative ice masks, which result in considerable loss of data. We aim to produce realistic SSS values for such regions to obtain more complete understanding about the SSS surface over the Arctic Ocean and benefit future applications that may require SSS measurements near edges of sea ice or coasts. We propose a class of scalable nonstationary processes that can handle large data from satellite products and complex geometries of the Arctic Ocean. Barrier overlap -removal acyclic directed graph GP (BORA -GP) constructs sparse directed acyclic graphs (DAGs) with neighbors conforming to barriers and boundaries, enabling characterization of dependence in constrained domains. The BORA -GP models produce more sensible SSS values in regions without satellite measurements and show improved performance in various constrained domains in simulation studies compared to state-of-the-art alternatives. An R package is available at https://github.com/jinbora0720/boraGP.
英文关键词	Arctic Ocean; barriers; directed acyclic graphs; sea surface salinity; SMAP; spatial statistics
语种	英语
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:001202404100019
来源期刊	ANNALS OF APPLIED STATISTICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/295824
作者单位	Johns Hopkins University; Duke University
推荐引用方式 GB/T 7714	Jin, Bora,Herring, Amy H.,Dunson, David. SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA[J],2024,18(2).
APA	Jin, Bora,Herring, Amy H.,&Dunson, David.(2024).SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA.ANNALS OF APPLIED STATISTICS,18(2).
MLA	Jin, Bora,et al."SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA".ANNALS OF APPLIED STATISTICS 18.2(2024).