A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM)

Authors

  • Pathmathevan Mahadevan,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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  • Steven C. Wofsy,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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  • Daniel M. Matross,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
    2. Now at Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California, USA.
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  • Xiangming Xiao,

    1. Complex Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, New Hampshire, USA
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  • Allison L. Dunn,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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  • John C. Lin,

    1. Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Ontario, Canada
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  • Christoph Gerbig,

    1. Max-Planck-Institut für Biogeochemie, Jena, Germany
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  • J. William Munger,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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  • Victoria Y. Chow,

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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  • Elaine W. Gottlieb

    1. Department of Earth and Planetary Science and Division of Applied Science and Engineering, Harvard University, Cambridge, Massachusetts, USA
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Abstract

[1] We present the Vegetation Photosynthesis and Respiration Model (VPRM), a satellite-based assimilation scheme that estimates hourly values of Net Ecosystem Exchange (NEE) of CO2 for 12 North American biomes using the Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI), derived from reflectance data of the Moderate Resolution Imaging Spectroradiometer (MODIS), plus high-resolution data for sunlight and air temperature. The motivation is to provide reliable, fine-grained first-guess fields of surface CO2 fluxes for application in inverse models at continental and smaller scales. An extremely simple mathematical structure, with minimal numbers of parameters, facilitates optimization using in situ data, with finesse provided by maximal infusion of observed NEE and environmental data from networks of eddy covariance towers across North America (AmeriFlux and Fluxnet Canada). Cross validation showed that the VPRM has strong prediction ability for hourly to monthly timescales for sites with similar vegetation. The VPRM also provides consistent partitioning of NEE into Gross Ecosystem Exchange (GEE, the light-dependent part of NEE) and ecosystem respiration (R, the light-independent part), half-saturation irradiance of ecosystem photosynthesis, and annual sum of NEE at all eddy flux sites for which it is optimized. The capability to provide reliable patterns of surface flux for fine-scale inversions is presently limited by the number of vegetation classes for which NEE can be constrained by the current network of eddy flux sites and by the accuracy of MODIS data and data for sunlight.

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