Assessment of uncertainties of ocean color parameters for the ocean Carbon-based Productivity Model

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Sheng, M.A.^1,2 ; Xiaofeng, Yang^1 ; Zui, Tao^1 ; Ziwei, Li^1 ; Xuan, Zhou^1

State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing Normal University, Beijing, China^1

CAS Olympic Sa Nd T Park, No.20 Da Tun Road, Beijing, China^2

关键词: Backscattering coefficients;    Chlorophyll concentration;    Derived parameters;    Ocean color remote sensing;    Photosynthetically available radiations;    Phytoplankton growth;    Productivity model;    Random uncertainties;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012102/pdf
DOI  :  10.1088/1755-1315/17/1/012102

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

With the developments of ocean color remote sensing technology, some ocean color parameters can be derived by satellite globally. These terms, including chlorophyll concentration (Chl), particulate backscattering coefficients (bbp), photosynthetically available radiation (PAR), have been proved to be related to NPP of phytoplankton. Based on these parameters with other auxiliary data, a carbon-based productivity model (CbPM) had been developed. The model derives phytoplankton carbon(C) from bbpand utilizes the ratios of C and Chl to describe the phytoplankton growth rates (μ) which has physiological dependencies on light (through variations in PAR), nutrients, and temperature. This paper indicated how the uncertainties in satellite derived parameters (Chl, bbpand PAR) propagated through the CbPM using Monte Carlo method. Comparisons on the individual contributor to the random uncertainty in NPP between these input items were discussed. The analysis results showed that among the three parameters, the biggest contribution to the uncertainty in the model output came from Chl. Therefore, improvements in the accuracy of Chl would have the largest potential to improve the ability of CbPM in estimating NPP of phytoplankton.