the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model
Abstract. This paper presents the assimilation of solar-induced chlorophyll fluorescence (SIF) into a terrestrial biosphere model to estimate the gross uptake of carbon through photosynthesis (GPP). We use the BETHY-SCOPE model to simulate both GPP and SIF in a process-based manner, going beyond a simple linear scaling between the two. We then use satellite SIF data from the Orbiting Carbon Observatory-2 (OCO-2) for 2015 in the data assimilation system to constrain model GPP. The assimilation results in considerable improvement between model and observed SIF, despite difficulties in simulating large SIF values due partly to uncertainties in the prescribed LAI. SIF-optimized global GPP increases by 7 % to 137 ± 6 PgCyr−1 and shows improvement in its global distribution relative to independent estimates. This change in global GPP is driven by an overall decline in APAR and increase in the light-use efficiency of photosynthesis across almost all ecosystems. This process-based data assimilation opens up new pathways to the effective utilization of satellite SIF data that will improve our understanding of the global carbon cycle.
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- RC1: 'Norton et al. “Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model”.', Anonymous Referee #1, 12 Jul 2018
- RC2: 'Comments to "Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model"', Anonymous Referee #2, 17 Jul 2018
- RC1: 'Norton et al. “Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model”.', Anonymous Referee #1, 12 Jul 2018
- RC2: 'Comments to "Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model"', Anonymous Referee #2, 17 Jul 2018
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Cited
8 citations as recorded by crossref.
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Effects of Anthropogenic Activity on Global Terrestrial Gross Primary Production I. Melnikova & T. Sasai 10.1029/2019JG005403
- Estimation of Turbulent Heat Fluxes and Gross Primary Productivity by Assimilating Land Surface Temperature and Leaf Area Index X. He et al. 10.1029/2020WR028224
- Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa A. Mengistu et al. 10.5194/bg-18-2843-2021
- Diverse photosynthetic capacity of global ecosystems mapped by satellite chlorophyll fluorescence measurements L. He et al. 10.1016/j.rse.2019.111344
- Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
- Sustained Nonphotochemical Quenching Shapes the Seasonal Pattern of Solar‐Induced Fluorescence at a High‐Elevation Evergreen Forest B. Raczka et al. 10.1029/2018JG004883
- Terrestrial gross primary production: Using NIRV to scale from site to globe G. Badgley et al. 10.1111/gcb.14729