GSTDTAP  > 气候变化
DOI10.1029/2020GL092189
Chlorophyll‐based model to estimate underwater Photosynthetically Available Radiation for modeling, in‐situ and remote‐sensing applications
Xiaogang Xing; Emmanuel Boss
2021-03-27
发表期刊Geophysical Research Letters
出版年2021
英文摘要

Accurate estimation of the underwater light field associated with photosynthetically available radiation (PAR) is a critical ocean parameter necessary to compute phytoplankton growth rate, net primary production (NPP), and to assess photo‐physiological response of phytoplankton, such as changes in cellular pigmentation. However, methods to estimate PAR used in many previous studies lack in accuracy, likely resulting in significant bias in light‐dependent products such as NPP derived from remote sensing, model simulations, or autonomous platforms. Here we propose and validate a chlorophyll‐based model for more accurate estimation of the subsurface PAR profile which uses chlorophyll‐a as its input. Validation is performed using 1,744 BGC‐Argo profiles of chlorophyll fluorescence that are calibrated with surface satellite‐derived chlorophyll concentration over their lifetime. The independent verification with the float’s PAR sensors confirms the accuracy of satellite chlorophyll estimate worldwide and in the Southern Ocean in particular.

领域气候变化
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/320900
专题气候变化
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GB/T 7714
Xiaogang Xing,Emmanuel Boss. Chlorophyll‐based model to estimate underwater Photosynthetically Available Radiation for modeling, in‐situ and remote‐sensing applications[J]. Geophysical Research Letters,2021.
APA Xiaogang Xing,&Emmanuel Boss.(2021).Chlorophyll‐based model to estimate underwater Photosynthetically Available Radiation for modeling, in‐situ and remote‐sensing applications.Geophysical Research Letters.
MLA Xiaogang Xing,et al."Chlorophyll‐based model to estimate underwater Photosynthetically Available Radiation for modeling, in‐situ and remote‐sensing applications".Geophysical Research Letters (2021).
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