Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1517-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-11-1517-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content
Alexander J. Norton
CORRESPONDING AUTHOR
School of Earth Sciences, University of Melbourne, Melbourne,
Australia
Peter J. Rayner
School of Earth Sciences, University of Melbourne, Melbourne,
Australia
Ernest N. Koffi
European Commission Joint Research Centre, Ispra, Italy
Marko Scholze
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
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40 citations as recorded by crossref.
- Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures B. Qiu et al. 10.1016/j.rse.2019.111373
- Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress G. Mohammed et al. 10.1016/j.rse.2019.04.030
- Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence Z. Zhang et al. 10.1016/j.rse.2020.111722
- Assimilation of remote sensing into crop growth models: Current status and perspectives J. Huang et al. 10.1016/j.agrformet.2019.06.008
- Downscaled Satellite Solar-Induced Chlorophyll Fluorescence Detects the Early Response of Sugarcane to Drought Stress in a Major Sugarcane-Planting Region of China N. Yang et al. 10.3390/rs15163937
- Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves Z. Zhang et al. 10.1016/j.agrformet.2023.109658
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Constraining estimates of terrestrial carbon uptake: new opportunities using long‐term satellite observations and data assimilation W. Smith et al. 10.1111/nph.16055
- A critical review of methods, principles and progress for estimating the gross primary productivity of terrestrial ecosystems Z. Liao et al. 10.3389/fenvs.2023.1093095
- An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types S. Yang et al. 10.1016/j.ecolmodel.2022.110079
- Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions N. Parazoo et al. 10.5194/bg-17-3733-2020
- The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO<sub>2</sub> surface fluxes over Australia using a variational assimilation scheme Y. Villalobos et al. 10.5194/acp-20-8473-2020
- Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al. 10.1029/2021MS002964
- The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
- Constraining water limitation of photosynthesis in a crop growth model with sun-induced chlorophyll fluorescence S. De Cannière et al. 10.1016/j.rse.2021.112722
- A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. 10.1016/j.jhydrol.2020.124905
- Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
- Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. 10.1029/2021MS002747
- The effect of temperature on photosystem II efficiency across plant functional types and climate P. Neri et al. 10.5194/bg-21-2731-2024
- Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) H. Zhu et al. 10.5194/gmd-17-6337-2024
- Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons S. Wang et al. 10.1038/s41559-019-0931-1
- Improving ecological indicators of arid zone deserts through simulation J. Wang et al. 10.1016/j.ecolmodel.2023.110506
- Towards a Harmonized Long‐Term Spaceborne Record of Far‐Red Solar‐Induced Fluorescence N. Parazoo et al. 10.1029/2019JG005289
- Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective C. Bacour et al. 10.1029/2018JG004938
- Area-ratio Fraunhofer line depth (aFLD) method approach to estimate solar-induced chlorophyll fluorescence in low spectral resolution spectra in a cool-temperate deciduous broadleaf forest N. Nakashima et al. 10.1007/s10265-021-01322-3
- A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF) J. Wen et al. 10.1016/j.rse.2020.111644
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- The role of satellite observations in understanding the impact of El Niño on the carbon cycle: current capabilities and future opportunities P. Palmer 10.1098/rstb.2017.0407
- Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products Z. Zhang et al. 10.34133/2021/9795837
- Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
- Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
- Enhancing water-carbon fluxes and yield predictions of winter wheat using irrigation and data assimilation techniques in a land surface model T. Xu et al. 10.1016/j.compag.2024.109140
- Unraveling the physical and physiological basis for the solar- induced chlorophyll fluorescence and photosynthesis relationship using continuous leaf and canopy measurements of a corn crop P. Yang et al. 10.5194/bg-18-441-2021
- Assimilating remote sensing-based VPM GPP into the WOFOST model for improving regional winter wheat yield estimation W. Zhuo et al. 10.1016/j.eja.2022.126556
- Land–atmosphere interactions in the tropics – a review P. Gentine et al. 10.5194/hess-23-4171-2019
- Lead-Induced Changes in Fluorescence and Spectral Characteristics of Pea Leaves M. Kycko et al. 10.3390/rs11161885
- From Canopy‐Leaving to Total Canopy Far‐Red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results From TROPOMI Z. Zhang et al. 10.1029/2019GL084832
- Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
- Value of sun-induced chlorophyll fluorescence for quantifying hydrological states and fluxes: Current status and challenges F. Jonard et al. 10.1016/j.agrformet.2020.108088
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4 citations as recorded by crossref.
- Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe T. Thum et al. 10.5194/bg-14-1969-2017
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- An integrated solar-induced chlorophyll fluorescence model for more accurate soil organic carbon content estimation in an Alpine agricultural area Q. Yu et al. 10.1007/s11104-022-05863-x
- Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al. 10.1038/s41598-018-20024-w
Latest update: 20 Nov 2024
Short summary
It is difficult to estimate how much CO2 plants absorb via photosynthesis and even more difficult to model this for the whole globe. Here, we present a framework to combine a new satellite measurement "solar-induced chlorophyll fluorescence" with a global photosynthesis model. We then quantify how this new measurement constrains model uncertainties and find highly effective constraint. These results pave a novel pathway for improving estimates and modelling abilities of photosynthesis globally.
It is difficult to estimate how much CO2 plants absorb via photosynthesis and even more...