气候变化领域集成服务门户(CCPortal): Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient

CCPortal

DOI	10.1029/2021JC017231
	Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient
	McKinna L.I.W.; Cetinić I.; Werdell P.J.
发表日期	2021
ISSN	21699275
卷号	126 期号:5
英文摘要	We explored how algorithm (model) and in situ measurement (observation) uncertainties can effectively be incorporated into empirical ocean color model development and assessment. In this study we focused on methods for deriving the particulate backscattering coefficient at 555 nm, bbp(555) (m−1). We developed a simple empirical algorithm for deriving bbp(555) as a function of a remote sensing reflectance line height (LH) metric. Model training was performed using a high-quality bio-optical dataset that contains coincident in situ measurements of the spectral remote sensing reflectances, Rrs(λ) (sr−1), and the spectral particulate backscattering coefficients, bbp(λ). The LH metric used is defined as the magnitude of Rrs(555) relative to a linear baseline drawn between Rrs(490) and Rrs(670). Using an independent validation dataset, we compared the skill of the LH-based model with two other models. We used contemporary validation metrics, including bias and mean absolute error (MAE), that were corrected for model and observation uncertainties. The results demonstrated that measurement uncertainties do indeed impact contemporary validation metrics such as mean bias and MAE. Zeta-scores and z-tests for overlapping confidence intervals were also explored as potential methods for assessing model skill. © 2021. The Authors.
英文关键词	model validation; ocean color; optical backscattering; remote sensing; uncertainties
语种	英语
来源期刊	Journal of Geophysical Research: Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186310
作者单位	Go2Q Pty Ltd, Sunshine Coast, QLD, Australia; GESTAR/USRA, Columbia, MD, United States; NASA Goddard Flight Center, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	McKinna L.I.W.,Cetinić I.,Werdell P.J.. Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient[J],2021,126(5).
APA	McKinna L.I.W.,Cetinić I.,&Werdell P.J..(2021).Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient.Journal of Geophysical Research: Oceans,126(5).
MLA	McKinna L.I.W.,et al."Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient".Journal of Geophysical Research: Oceans 126.5(2021).