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Open AccessArticle

Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers

by 1 and 2,*
1
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2
Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH 03824, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Rocio Hernández-Clemente and Roberto Colombo
Remote Sens. 2021, 13(4), 794; https://doi.org/10.3390/rs13040794
Received: 5 January 2021 / Revised: 3 February 2021 / Accepted: 18 February 2021 / Published: 21 February 2021
(This article belongs to the Special Issue Remote Sensing of Carbon Fluxes and Stocks)
Solar-induced chlorophyll fluorescence (SIF) measured from space has shed light on the diagnosis of gross primary production (GPP) and has emerged as a promising way to quantify plant photosynthesis. The SCOPE model can explicitly simulate SIF and GPP, while the uncertainty in key model parameters can lead to significant uncertainty in simulations. Previous work has constrained uncertain parameters in the SCOPE model using coarse-resolution SIF observations from satellites, while few studies have used finer resolution SIF measured from the Orbiting Carbon Observatory-2 (OCO-2) to improve the model. Here, we identified the sensitive parameters to SIF and GPP estimation, and improved the performance of SCOPE in simulating SIF and GPP for temperate forests by constraining the physiological parameters relating to SIF and GPP by combining satellite-based SIF measurements (e.g., OCO-2) with flux tower GPP data. Our study showed that SIF had weak capability in constraining maximum carboxylation capacity (Vcmax), while GPP could constrain this parameter well. The OCO-2 SIF data constrained fluorescence quantum efficiency (fqe) well and improved the performance of SCOPE in SIF simulation. However, the use of the OCO-2 SIF alone cannot significantly improve the GPP simulation. The use of both satellite SIF and flux tower GPP data as constraints improved the performance of the model for simulating SIF and GPP simultaneously. This analysis is useful for improving the capability of the SCOPE model, understanding the relationships between GPP and SIF, and improving the estimation of both SIIF and GPP by incorporating satellite SIF products and flux tower data. View Full-Text
Keywords: solar-induced chlorophyll fluorescence; photosynthesis; Orbiting Carbon Observatory; parameter optimization; model-data fusion; data assimilation; ecosystem model; carbon cycle; eddy covariance; radiative transfer solar-induced chlorophyll fluorescence; photosynthesis; Orbiting Carbon Observatory; parameter optimization; model-data fusion; data assimilation; ecosystem model; carbon cycle; eddy covariance; radiative transfer
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MDPI and ACS Style

Wang, H.; Xiao, J. Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers. Remote Sens. 2021, 13, 794. https://doi.org/10.3390/rs13040794

AMA Style

Wang H, Xiao J. Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers. Remote Sensing. 2021; 13(4):794. https://doi.org/10.3390/rs13040794

Chicago/Turabian Style

Wang, Haibo; Xiao, Jingfeng. 2021. "Improving the Capability of the SCOPE Model for Simulating Solar-Induced Fluorescence and Gross Primary Production Using Data from OCO-2 and Flux Towers" Remote Sens. 13, no. 4: 794. https://doi.org/10.3390/rs13040794

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