A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models

Gourdji, Sharon M.; Karion, Anna; Lopez‐Coto, Israel; Ghosh, Subhomoy; Mueller, Kimberly L.; Zhou, Yu; Williams, Christopher A.; Baker, Ian T.; Haynes, Katharine D.; Whetstone, James R.

doi:10.1029/2021jg006290

A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models

Journal Article · Mon Nov 22 00:00:00 EST 2021 · Journal of Geophysical Research. Biogeosciences

DOI:https://doi.org/10.1029/2021jg006290· OSTI ID:1982077

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National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States); University of Notre Dame, IN (United States)
Clark Univ., Worcester, MA (United States); Northern Arizona Univ., Flagstaff, AZ (United States)
Clark Univ., Worcester, MA (United States)
Colorado State Univ., Fort Collins, CO (United States)

Atmospheric CO₂ measurements from a dense surface network can help to evaluate terrestrial biosphere model (TBM) simulations of Net Ecosystem Exchange (NEE) with two key benefits. First, gridded CO₂ flux estimates can be evaluated over regional scales, not possible using flux tower observations at discrete locations for model evaluation. Second, TBM ability to explain atmospheric CO₂ fluctuations due to the biosphere can be directly tested, an important objective for anthropogenic emissions monitoring using atmospheric observations. Here, we customize the Vegetation Photosynthesis and Respiration Model (VPRM) for an eastern North American domain with strong biological activity upwind of urban areas. Parameters are optimized using flux tower observations from a historical database with sites in (and near) the domain. In addition, the respiration model (originally a linear function of temperature) is modified to account for impacts of changing foliage, non-linear temperature, and water stress. Flux estimates from VPRM, the Carnegie-Ames-Stanford Approach (CASA) model and the Simple Biosphere Model v4 (SiB4), are convolved with footprints from atmospheric transport models for evaluation with CO₂ observations at 21 towers in the domain, with roughly half of the towers used here for the first time. Results show that the new respiration model in VPRM helps to correct a growing season sink bias in the atmosphere associated with underestimated summertime respiration using the original model with annual parameters. The new VPRM also better explains fine-scale atmospheric CO₂ variability compared to other TBMs, due to higher resolution diagnostic phenology, the new respiration model, domain-specific parameters, and high-quality input data sets.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). AmeriFlux

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); USDOE

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1982077

Journal Information:: Journal of Geophysical Research. Biogeosciences, Journal Name: Journal of Geophysical Research. Biogeosciences Journal Issue: 1 Vol. 127; ISSN 2169-8953

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models

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