Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints

DiMaria, Christian; Jones, Dylan B. A.; Worden, H. M.; Bloom, A. Anthony; Bowman, K. W.; Stavrakou, Trissevgeni; Miyazaki, Kazuyuki; Worden, J.; Sarkar, Chinmoy; Seco, Roger; Park, Jeong‐Hoo; Tóta, J.; Alves, Eliane Gomes; Ferracci, Valerio

doi:10.1029/2022jd037822

Cited by 6 publications

(1 citation statement)

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“…The increasing capability of satellite monitoring from space has enabled studies to better characterize pollution patterns, such as analyzing the responses of trace gases to either anthropogenic or biogenic sources (Balamurugan et al., 2021; Pu et al., 2022; R. Zhang et al., 2020) and investigating regional emission trends (DiMaria et al., 2023; Krotkov et al., 2016; J. Li & Wang, 2019). The uncertainties of satellite products consist of both systematic and random components.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires

Chong,

Wang,

Liu

et al. 2024

JGR Atmospheres

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Nitrogen dioxide (NO2) and formaldehyde (HCHO) play vital roles in atmospheric photochemical processes. Their tropospheric vertical column density (TVCD) distributions have been monitored by satellite instruments. Evaluation of these observations is essential for applying these observations to study photochemistry. Assessing satellite products using observations at rural sites, where local emissions are minimal, is particularly useful due in part to the spatial homogeneity of trace gases. In this study, we evaluate OMI and TROPOMI NO2 and HCHO TVCDs using multi‐axis differential optical absorption spectroscopy (MAX‐DOAS) measurements at a rural site in the east coast of the Shandong province, China in spring 2018 during the Ozone Photochemistry and Export from China Experiment (OPECE) measurement campaign. On days not affected by local burning, we found generally good agreement of NO2 data after using consistent a priori profiles in satellite and MAX‐DOAS retrievals and accounting for low biases in scattering weights in one of the OMI products. In comparison, satellite HCHO products exhibited weaker correlations with MAX‐DOAS data, in contrast to satellite NO2 products. However, TROPOMI HCHO products showed significantly better agreement with MAX‐DOAS measurements compared to OMI data. Furthermore, case studies of the vertical profiles measured by MAX‐DOAS on burning days revealed large enhancements of nitrous acid (HONO), NO2, and HCHO in the upper boundary layer, accompanied with considerable variability, particularly in HONO enhancements.

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Section: Introductionmentioning

confidence: 99%

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires

Chong,

Wang,

Liu

et al. 2024

JGR Atmospheres

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Pollution characteristics, sources, and photochemical roles of ambient carbonyl compounds in summer of Beijing, China

Chai

Wang

et al. 2023

Environmental Pollution

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Impact of Oversimplified Parameters on BVOC Emissions Estimation in China: A Sensitivity Analysis Using the WRF‐CLM4‐MEGAN Model

Shang,

Yin,

Liu

et al. 2024

JGR Biogeosciences

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Biogenic volatile organic compound (BVOC) emissions estimation models are driven by various physical factors. Many studies use weather forecasting models coupled with simple BVOC emission algorithms, where the physical factors driving variations in emissions are largely oversimplified. This study employs the land surface scheme CLM4 (Community Land Model version 4) coupled in the advanced Weather Research and Forecasting model (WRF), and the MEGAN (Model of Emissions of Gases and Aerosols from Nature) algorithms embedded within CLM4, to quantify the effects of three simplified parameters on BVOC emission estimates in China. Our sensitivity analysis results show that the annual BVOC emissions estimated using 2‐m air temperature are about 48% lower than those estimated using leaf temperature in our study. Neglecting the shaded fraction of the canopy leads to a 1.7 times increase in total annual BVOC emissions compared to the separate treatment of sunlit and shaded leaves. Employing fixed values in the default WRF‐CLM4‐MEGAN results in a 51% reduction in total BVOC emissions in July compared to using dynamic weather history for the past few days. Each scenario is evaluated against field measurements, revealing that enhancing a single parameterization does not necessarily lead to improved model performance. Uncertainties from specific simplified parameters can be partially masked by other factors, and vice versa, which therefore pose limitations on overall model performance. Our findings highlight the non‐negligible impact of the three oversimplified parameters and their underlying physical processes on BVOC emission estimates, while also deepening the understanding of uncertainties in BVOC emission modeling.

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Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints

Abstract: Isoprene is a reactive volatile organic compound (VOC) emitted by terrestrial vegetation, possibly contributing to abiotic stress tolerance (Monson et al., 2021). Annual isoprene emissions exceed all other non-methane VOCs,

Cited by 6 publications

References 113 publications

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires

Pollution characteristics, sources, and photochemical roles of ambient carbonyl compounds in summer of Beijing, China

Impact of Oversimplified Parameters on BVOC Emissions Estimation in China: A Sensitivity Analysis Using the WRF‐CLM4‐MEGAN Model

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Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints

Abstract: Isoprene is a reactive volatile organic compound (VOC) emitted by terrestrial vegetation, possibly contributing to abiotic stress tolerance (Monson et al., 2021). Annual isoprene emissions exceed all other non-methane VOCs,

Cited by 6 publications

References 113 publications

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires

Pollution characteristics, sources, and photochemical roles of ambient carbonyl compounds in summer of Beijing, China

Impact of Oversimplified Parameters on BVOC Emissions Estimation in China: A Sensitivity Analysis Using the WRF‐CLM4‐MEGAN Model

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Product

Resources

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Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires

Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO₂ and HCHO Measurement Uncertainty and Emissions From Fires