DOI: 10.1002/2015GB005314
Scopus记录号: 2-s2.0-84971298310
论文题名: Satellite estimates of net community production based on O2/Ar observations and comparison to other estimates
作者: Li Z ; , Cassar N
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2016
卷: 30, 期: 5 起始页码: 735
结束页码: 752
语种: 英语
英文关键词: genetic programming
; net community production
; O2/Ar
; satellite observations
; support vector regression
Scopus关键词: argon
; comparative study
; data set
; genetic algorithm
; global perspective
; net primary production
; observational method
; optimization
; oxygen
; phytoplankton
; regression analysis
; remote sensing
; satellite data
; sea surface temperature
; support vector machine
; Southern Ocean
英文摘要: We present two statistical algorithms for predicting global oceanic net community production (NCP) from satellite observations. To calibrate these two algorithms, we compiled a large data set of in situ O2/Ar-NCP and remotely sensed observations, including sea surface temperature (SST), net primary production (NPP), phytoplankton size composition, and inherent optical properties. The first algorithm is based on genetic programming (GP) which simultaneously searches for the optimal form and coefficients of NCP equations. We find that several GP solutions are consistent with NPP and SST being strong predictors of NCP. The second algorithm uses support vector regression (SVR) to optimize a numerical relationship between O2/Ar-NCP measurements and satellite observations. Both statistical algorithms can predict NCP relatively well, with a coefficient of determination (R2) of 0.68 for GP and 0.72 for SVR, which is comparable to other algorithms in the literature. However, our new algorithms predict more spatially uniform annual NCP distribution for the world's oceans and higher annual NCP values in the Southern Ocean and the five oligotrophic gyres. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77851
Appears in Collections: 气候变化事实与影响
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作者单位: Division of Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, NC, United States
Recommended Citation:
Li Z,, Cassar N. Satellite estimates of net community production based on O2/Ar observations and comparison to other estimates[J]. Global Biogeochemical Cycles,2016-01-01,30(5)