Abstract

Solar-induced chlorophyll fluorescence (SIF) is emitted during photosynthesis in plant leaves. It constitutes a small additional offset to reflected radiance and can be observed by sensitive instruments. The Chinese global carbon dioxide monitoring satellite (TanSat), as its mission, acquires greenhouse gas column density. The advanced technical characteristics of the hyper-spectrum grating spectrometer (ACGS) onboard TanSat enable SIF retrieval from space observations in the O2-A band. In this study, one-year SIF data was processed from Orbiting Carbon Observatory-2 (OCO-2) and TanSat using a physical-based algorithm. A comparison between the SIF retrieved from OCO-2 and its official product shows their strong linear relationship (R2 > 0.85) and suggests the reliability of the algorithm. The global distribution showed that the SIF retrieved from the two satellites shared the same spatial pattern for all seasons with the grided SIF difference less than 0.3 W m−2 μm−1 sr−1, and they also agreed with the official OCO-2 SIF product. The retrieval uncertainty of seasonal-grided TanSat SIF is less than 0.03 W m−2 μm−1 sr−1 whereas the uncertainty of each sounding ranges from 0.1 to 0.6 W m−2 μm−1 sr−1. The relationship between SIF and terrestrial gross primary productivity was also estimated for data quality testing. The spatiotemporal consistency between TanSat and OCO-2 and their comparable data quality make the comprehensive usage of the two mission products possible. Data supplemented by TanSat observations are expected to contribute to the development of global SIF maps with more spatiotemporal detail, which will advance global research on vegetation photosynthesis.

Highlights

  • Terrestrial vegetation accounts for a large part of the ecosystem, with its photosynthesis and respiration processes playing important roles in the global carbon cycle

  • We introduced the retrieval algorithm IAPCAS/solar-induced chlorophyll fluorescence (SIF) and its application in The Chinese global carbon dioxide monitoring satellite (TanSat) and Orbiting Carbon Observatory-2 (OCO-2) measurements

  • The TanSat and OCO-2 SIF products based on the IAPCAS/SIF algorithm are available on the Cooperation on the Analysis of carbon SAtellites data (CASA) website, www.chinageoss.org/tansat

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Summary

Introduction

Terrestrial vegetation accounts for a large part of the ecosystem, with its photosynthesis and respiration processes playing important roles in the global carbon cycle. With the detailed spectrum features, a method was developed based on solar line fitting and the Beer-Lambertian law This method is robust and accurate when the spectrum is out of the influence of telluric absorptions, even in the presence of aerosols (Frankenberg et al, 2011a; Joiner et al, 2011); in the current study, this method was applied to develop the IAPCAS/SIF algorithm. Another SIF retrieval method is the data-driven algorithm based on the singular value decomposition (SVD) technique (Guanter et al, 2012), which has been broadly applied in GOSAT and TROPOMI SIF retrieval. To avoid duplication of information, we use the SIF product at 757nm as the example in the analysis

Retrieval Principle and Method
Bias Corrections
Data Quality Controls
IAPCAS versus IMAP-DOAS OCO-2 SIF Retrieval
Comparison between TanSat and OCO-2 SIF Measurements
SIF Global Distribution and Temporal Variation
Conclusions
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