Lewis Kunik
University of Utah
6 Papers
Lewis Kunik is an academic researcher from University of Utah. The author has contributed to research in topics: Environmental science & Chemistry. The author has an hindex of 2, co-authored 2 publications.
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Papers
Bayesian inverse estimation of urban CO2 emissions: Results from a synthetic data simulation over Salt Lake City, UT
Lewis Kunik,Derek V. Mallia,Kevin R. Gurney,Daniel L. Mendoza,Tomohiro Oda,John C. Lin +5 more
- 01 Jan 2019
TL;DR: In this article, a Bayesian inverse modeling framework over Salt Lake City, Utah, which utilizes available CO2 emission inventories to establish a synthetic data simulation aimed at exploring model uncertainties is presented.
60
The Information Content of Dense Carbon Dioxide Measurements from Space: A High-Resolution Inversion Approach with Synthetic Data from the OCO-3 Instrument
Lewis Kunik,Dien Wu,Dustin D. Roten,S.M.A. Bierma-Zeintra,Ekrem AKAR,Motika Sinha Rymbai,Angela Miles +6 more
- 06 May 2022
TL;DR: In this paper , the authors applied an observing system simulation experiment (OSSE) to characterize the flux information contained in snapshot area map (SAM) CO2 measurements from the Orbiting Carbon Observatory-3 (OCO-3).
21
Satellite-based solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in California’s Sierra Nevada mountains
Lewis Kunik,Brett Raczka,Kenneth R Smith,David Bowling,Christian Frankenberg,Philipp Köhler,Rui Cheng,M. L. Goulden,Martin Jung,John C. Lin +9 more
TL;DR: Satellite-observed solar-induced fluorescence tracks seasonal and elevational patterns of photosynthesis in the Sierra Nevada mountains, highlighting the potential for remote sensing approaches to improve carbon monitoring systems.
1
Can We Detect Urban‐Scale CO2 Emission Changes Within Medium‐Sized Cities?
Derek V. Mallia,Logan Mitchell,Dien Wu,Lewis Kunik,John C. Lin +4 more
- 27 May 2023
TL;DR: In this paper , a Bayesian inverse model was used to constrain anthropogenic emissions for the previous year (2019) to provide the best possible estimate of emissions for 2020, before accounting for emission reductions observed during the COVID-19 lockdown.
The Information Content of Dense Carbon Dioxide Measurements from Space: A High-Resolution Inversion Approach with Synthetic Data from the OCO-3 Instrument
D. Roten,John C. Lin,Lewis Kunik,Derek V. Mallia,Dien Wu,Tomohiro Oda,Eric,Annemieke De Kort +7 more
TL;DR: In this paper , the authors applied an observing system simulation experiment (OSSE) to characterize the flux information contained in "Snapshot Area Map" (SAM) CO 2 measurements from the Orbiting Carbon Observatory-3 (OCO- 5 3).