Articles | Volume 16, issue 1
https://doi.org/10.5194/bg-16-77-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-77-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes
Debsunder Dutta
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
David S. Schimel
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Ying Sun
School of Integrative Plant Science, Soil and Crop Sciences Section, Cornell University, Ithaca, NY, USA
Christiaan van der Tol
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
Christian Frankenberg
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
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- Effects of leaf age and canopy structure on gross ecosystem production in a subtropical evergreen Chinese fir forest Q. Wu et al. 10.1016/j.agrformet.2021.108618
- The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections R. Braghiere et al. 10.1029/2023AV000910
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- Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks G. Tramontana et al. 10.1111/gcb.15203
- Tracking Seasonal and Interannual Variability in Photosynthetic Downregulation in Response to Water Stress at a Temperate Deciduous Forest L. He et al. 10.1029/2018JG005002
- Ecological carrying capacity and carbon sequestration potential of bivalve shellfish in marine ranching: A case study in Bohai Bay, China Z. Li et al. 10.3389/fmars.2023.1174235
- Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition J. Kim et al. 10.1016/j.rse.2021.112362
- Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest R. Cheng et al. 10.5194/bg-17-4523-2020
- Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
- senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland J. Pacheco-Labrador et al. 10.1016/j.rse.2021.112352
- Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. 10.1016/j.rse.2021.112497
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. 10.1029/2022JG007074
- Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits J. Pacheco-Labrador et al. 10.1016/j.rse.2019.111362
- Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies E. Chakhvashvili et al. 10.1007/s11119-024-10168-3
- Temporally variable parameters simulate asymmetrical interannual variation of aboveground and belowground carbon pools in an alpine meadow Q. Xu et al. 10.1016/j.agrformet.2021.108480
- Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al. 10.3390/f11040369
- From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity L. He et al. 10.1029/2020GL087474
- Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. 10.1016/j.rse.2022.113324
Latest update: 14 Dec 2024
Short summary
Canopy structural and leaf photosynthesis parameterizations are often fixed over time in Earth system models and represent large sources of uncertainty in predictions of carbon and water fluxes. We develop a moving window nonlinear optimal parameter inversion framework using constraining flux and satellite reflectance observations. The results demonstrate the applicability of the approach for error reduction and capturing the seasonal variability of key ecosystem parameters.
Canopy structural and leaf photosynthesis parameterizations are often fixed over time in Earth...
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