气候变化领域集成服务门户(CCPortal): Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites

CCPortal

DOI	10.1016/j.rse.2023.113983
	Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites
	Wu, Jinghui; Lee, Zhongping; Goes, Joaquim; Gomes, Helga do Rosario; Wei, Jianwei
发表日期	2024
ISSN	0034-4257
EISSN	1879-0704
起始页码	302
卷号	302
英文摘要	Accurate estimates of depth-integrated Net Primary Production (NPP, mg C m- 2 d-1) and the creation of a robust climate data record of NPP for the global oceans are essential goals of the ocean color remote sensing community. Here, we take advantage of in situ NPP measurements from three long -term time-series sites, the HOT (Hawaii Ocean Time-series), BATS (Bermuda Atlantic Time-series Study) and CARIACO (Ocean Time-Series Program from the Cariaco basin), spanning over 30 years to evaluate three contrasting models in estimating NPP from ocean color remote sensing. These models for NPP estimation include the Absorption-based Model (AbPM), which relies on phytoplankton absorption coefficient, the Vertically Generalized Production Model (VGPM), which centers on chlorophyll-a concentration, and the Carbon-based Productivity Model (CbPM) centering on phytoplankton carbon. In addition to the accuracy of NPP estimation from these models, we laid great emphasis on evaluating their skills in capturing the monthly to seasonal variations and interannual trends in NPP at the three sites. Comparison with in situ NPP at all three long -term sites (-20 years) showed that AbPM yielded the highest coefficient of determination (R2 = 0.67) and the lowest uncertainties (Bias = 0.03 and unbiased root mean square difference = 0.17). Seasonal and interannual variations apparent in the in situ NPP time-series records were best captured by AbPM. These results showcase the robust capabilities of AbPM and its superiority for global carbon cycling and climate change studies, largely because it takes into account optical and photosynthetic parameters of local phytoplankton.
英文关键词	Net primary production; Ocean color remote sensing; Time-series; HOT BATS CARIACO
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001162390800001
来源期刊	REMOTE SENSING OF ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302805
作者单位	Columbia University; Xiamen University; National Oceanic Atmospheric Admin (NOAA) - USA; National Aeronautics & Space Administration (NASA)
推荐引用方式 GB/T 7714	Wu, Jinghui,Lee, Zhongping,Goes, Joaquim,et al. Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites[J],2024,302.
APA	Wu, Jinghui,Lee, Zhongping,Goes, Joaquim,Gomes, Helga do Rosario,&Wei, Jianwei.(2024).Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites.REMOTE SENSING OF ENVIRONMENT,302.
MLA	Wu, Jinghui,et al."Evaluation of three contrasting models in estimating primary production from ocean color remote sensing using long-term time-series data at oceanic and coastal sites".REMOTE SENSING OF ENVIRONMENT 302(2024).