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Lewis Kunik

Biographic Data

ID7992946
NAMELewis Kunik
GIVEN NAMESLewis
FAMILY NAMEKunik
SIGNATUREKUNIK L
AFFILIATIONSUniversity of Utah
ORCID0000-0001-9638-0543
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains

    Open Access•Lewis Kunik, D R Bowling et al.•ARTICLE•Environmental Research Letters•2023

    Robust carbon monitoring systems are needed for land managers to assess and mitigate the changing effects of ecosystem stress on western United States forests, where most aboveground carbon is stored in mountainous areas. Atmospheric carbon uptake via gross primary productivity (GPP) is an important indicator of ecosystem function and is particularly relevant to carbon monitoring systems. However, limited ground-based observations in remote areas…

  • Bayesian inverse estimation of urban CO2 emissions

    Open Access•Lewis Kunik, Derek V Mallia et al.•ARTICLE•Elementa Science of the…•2019

    Top-down, data-driven models possess ample power to improve the accuracy of bottom-up carbon dioxide (CO2) emission inventories, and more work is needed to explore the merger of top-down and bottom-up estimates to better inform the metrics used to monitor global CO2 fluxes. Here we present a Bayesian inverse modeling framework over Salt Lake City, Utah, which utilizes available CO2 emission inventories to establish a synthetic data simulation aim…

No prominent works on this page.

  • Bayesian inverse estimation of urban CO2 emissions

    Open Access•Lewis Kunik, Derek V Mallia et al.•ARTICLE•Elementa Science of the…•2019

    Top-down, data-driven models possess ample power to improve the accuracy of bottom-up carbon dioxide (CO2) emission inventories, and more work is needed to explore the merger of top-down and bottom-up estimates to better inform the metrics used to monitor global CO2 fluxes. Here we present a Bayesian inverse modeling framework over Salt Lake City, Utah, which utilizes available CO2 emission inventories to establish a synthetic data simulation aim…

  • Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains

    Open Access•Lewis Kunik, D R Bowling et al.•ARTICLE•Environmental Research Letters•2023

    Robust carbon monitoring systems are needed for land managers to assess and mitigate the changing effects of ecosystem stress on western United States forests, where most aboveground carbon is stored in mountainous areas. Atmospheric carbon uptake via gross primary productivity (GPP) is an important indicator of ecosystem function and is particularly relevant to carbon monitoring systems. However, limited ground-based observations in remote areas…

Atmospheric and Environmental Gas Dynamics (2 works) · Atmospheric sciences (2 works) · Environmental Science (2 works) · Geography (2 works) · Geology (2 works) · A priori and a posteriori (1 works) · Air Quality and Health Impacts (1 works) · Air Quality Monitoring and Forecasting (1 works) · Bayesian probability (1 works) · Biome (1 works)

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