Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5
Abstract Recent advances in satellite observations of solar‐induced chlorophyll fluorescence (SIF) provide a new opportunity to constrain the simulation of terrestrial gross primary productivity (GPP). Accurate representation of the processes driving SIF emission and its radiative transfer to remote...
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2022-03-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2021MS002747 |
| _version_ | 1797838447540436992 |
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| author | Rong Li Danica Lombardozzi Mingjie Shi Christian Frankenberg Nicholas C. Parazoo Philipp Köhler Koong Yi Kaiyu Guan Xi Yang |
| author_facet | Rong Li Danica Lombardozzi Mingjie Shi Christian Frankenberg Nicholas C. Parazoo Philipp Köhler Koong Yi Kaiyu Guan Xi Yang |
| author_sort | Rong Li |
| collection | DOAJ |
| description | Abstract Recent advances in satellite observations of solar‐induced chlorophyll fluorescence (SIF) provide a new opportunity to constrain the simulation of terrestrial gross primary productivity (GPP). Accurate representation of the processes driving SIF emission and its radiative transfer to remote sensing sensors is an essential prerequisite for data assimilation. Recently, SIF simulations have been incorporated into several land surface models, but the scaling of SIF from leaf‐level to canopy‐level is usually not well‐represented. Here, we incorporate the simulation of far‐red SIF observed at nadir into the Community Land Model version 5 (CLM5). Leaf‐level fluorescence yield was simulated by a parametric simplification of the Soil Canopy‐Observation of Photosynthesis and Energy fluxes model (SCOPE). And an efficient and accurate method based on escape probability is developed to scale SIF from leaf‐level to top‐of‐canopy while taking clumping and the radiative transfer processes into account. SIF simulated by CLM5 and SCOPE agreed well at sites except one in needleleaf forest (R2 > 0.91, root‐mean‐square error <0.19 W⋅m−2⋅sr−1⋅μm−1), and captured the day‐to‐day variation of tower‐measured SIF at temperate forest sites (R2 > 0.68). At the global scale, simulated SIF generally captured the spatial and seasonal patterns of satellite‐observed SIF. Factors including the fluorescence emission model, clumping, bidirectional effect, and leaf optical properties had considerable impacts on SIF simulation, and the discrepancies between simulate d and observed SIF varied with plant functional type. By improving the representation of radiative transfer for SIF simulation, our model allows better comparisons between simulated and observed SIF toward constraining GPP simulations. |
| first_indexed | 2024-04-09T15:42:06Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1942-2466 |
| language | English |
| last_indexed | 2024-04-09T15:42:06Z |
| publishDate | 2022-03-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | Journal of Advances in Modeling Earth Systems |
| spelling | doaj.art-7e8293ec58cb43b69afd467704bb4b5c2023-04-27T07:53:09ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662022-03-01143n/an/a10.1029/2021MS002747Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5Rong Li0Danica Lombardozzi1Mingjie Shi2Christian Frankenberg3Nicholas C. Parazoo4Philipp Köhler5Koong Yi6Kaiyu Guan7Xi Yang8Department of Environmental Sciences University of Virginia Charlottesville VA USAClimate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USAPacific Northwest National Laboratory Richland WA USADivision of Geological and Planetary Sciences California Institute of Technology Pasadena CA USAJet Propulsion Laboratory California Institute of Technology Pasadena CA USADivision of Geological and Planetary Sciences California Institute of Technology Pasadena CA USADepartment of Environmental Sciences University of Virginia Charlottesville VA USACollege of Agricultural, Consumers, and Environmental Sciences University of Illinois at Urbana‐Champaign Urbana IL USADepartment of Environmental Sciences University of Virginia Charlottesville VA USAAbstract Recent advances in satellite observations of solar‐induced chlorophyll fluorescence (SIF) provide a new opportunity to constrain the simulation of terrestrial gross primary productivity (GPP). Accurate representation of the processes driving SIF emission and its radiative transfer to remote sensing sensors is an essential prerequisite for data assimilation. Recently, SIF simulations have been incorporated into several land surface models, but the scaling of SIF from leaf‐level to canopy‐level is usually not well‐represented. Here, we incorporate the simulation of far‐red SIF observed at nadir into the Community Land Model version 5 (CLM5). Leaf‐level fluorescence yield was simulated by a parametric simplification of the Soil Canopy‐Observation of Photosynthesis and Energy fluxes model (SCOPE). And an efficient and accurate method based on escape probability is developed to scale SIF from leaf‐level to top‐of‐canopy while taking clumping and the radiative transfer processes into account. SIF simulated by CLM5 and SCOPE agreed well at sites except one in needleleaf forest (R2 > 0.91, root‐mean‐square error <0.19 W⋅m−2⋅sr−1⋅μm−1), and captured the day‐to‐day variation of tower‐measured SIF at temperate forest sites (R2 > 0.68). At the global scale, simulated SIF generally captured the spatial and seasonal patterns of satellite‐observed SIF. Factors including the fluorescence emission model, clumping, bidirectional effect, and leaf optical properties had considerable impacts on SIF simulation, and the discrepancies between simulate d and observed SIF varied with plant functional type. By improving the representation of radiative transfer for SIF simulation, our model allows better comparisons between simulated and observed SIF toward constraining GPP simulations.https://doi.org/10.1029/2021MS002747solar‐induced chlorophyll fluorescenceland surface modelCommunity Land Modelgross primary productivityradiative transferescape probability |
| spellingShingle | Rong Li Danica Lombardozzi Mingjie Shi Christian Frankenberg Nicholas C. Parazoo Philipp Köhler Koong Yi Kaiyu Guan Xi Yang Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 Journal of Advances in Modeling Earth Systems solar‐induced chlorophyll fluorescence land surface model Community Land Model gross primary productivity radiative transfer escape probability |
| title | Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 |
| title_full | Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 |
| title_fullStr | Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 |
| title_full_unstemmed | Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 |
| title_short | Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 |
| title_sort | representation of leaf to canopy radiative transfer processes improves simulation of far red solar induced chlorophyll fluorescence in the community land model version 5 |
| topic | solar‐induced chlorophyll fluorescence land surface model Community Land Model gross primary productivity radiative transfer escape probability |
| url | https://doi.org/10.1029/2021MS002747 |
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