Remotely Sensed Carbonyl Sulfide Constrains Model Estimates of Amazon Primary Productivity

Stinecipher, J.; Cameron-Smith, P. J.; Kuai, Le; Glatthor, N.; Höpfner, Michael; Baker, Ian T.; Beer, Christian; Bowman, K. W.; Lee, Meemong; Miller, Scot M.; Parazoo, Nicholas C.; Campbell, J. Elliott

doi:10.1029/2021gl096802

Cited by 12 publications

(17 citation statements)

References 55 publications

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“…Although they are limited in time, these measurements will give additional insight to the COS fluxes over the tropical Atlantic and Pacific Ocean. Satellites offer the perspective of constraining the tropical areas over long periods of time (Glatthor et al., 2015; Stinecipher et al., 2022; Vincent & Dudhia, 2017), but the retrievals still entail large uncertainties (Serio et al., 2021; Whelan et al., 2018).…”

Section: Discussion and Future Workmentioning

confidence: 99%

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data

Remaud

Krol

et al. 2023

JGR Atmospheres

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We present a comparison of atmospheric transport model simulations for carbonyl sulfide (COS), within the framework of the ongoing atmospheric tracer transport model intercomparison project "TransCom". Seven atmospheric transport models participated in the inter-comparison experiment and provided simulations of COS mixing ratios in the troposphere over a 9-year period (2010-2018), using prescribed state-of-the-art surface fluxes for various components of the atmospheric COS budget: biospheric sink, oceanic source, sources from fire and industry. Since the biosphere is the largest sink of COS, we tested sink estimates produced by two different biosphere models. The main goals of TransCom-COS are (a) to investigate the impact of the transport uncertainty and emission distribution in simulating the spatio-temporal variability of COS mixing ratios in the troposphere, and (b) to assess the sensitivity of simulated tropospheric COS mixing ratios to the seasonal and diurnal variability of the COS biosphere fluxes. To this end, a control case with state-of-the-art seasonal fluxes of COS was constructed. Models were run with the same fluxes and without chemistry to isolate transport differences. Further, two COS flux scenarios were compared: one using a biosphere flux with a monthly time resolution and the other using a biosphere flux with a three-hourly time resolution. In addition, we investigated the sensitivity of the simulated concentrations to different biosphere fluxes and to indirect oceanic emissions through dimethylsulfide (DMS) and carbon disulfide (CS 2 ). The modelled COS mixing ratios were assessed against in-situ observations from surface stations and aircraft.

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Section: Discussion and Future Workmentioning

confidence: 99%

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data

Remaud

Krol

et al. 2023

JGR Atmospheres

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“…These methods could make use of FTIR and satellite data to further constrain the sources and sinks of COS. Recent studies have used MIPAS satellite data to constrain GPP over the Amazon region Stinecipher et al, 2022). Hannigan et al (2022) recently presented the extensive COS FTIR Network linked to the Detection of Atmospheric Composition Change (NDACC) network, which could enable a more comprehensive model evaluation and offers possibilities for data assimilation in the future.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations

Ma,

Remaud,

Peylin

et al. 2023

JGR Atmospheres

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We present a comparison of atmospheric transport models that simulate carbonyl sulfide (COS). This is part II of the ongoing Atmospheric Transport Model (ATM) Inter‐comparison Project (TransCom–COS). Differently from part I, we focus on seven model intercomparison by transporting two recent COS inversions of NOAA surface data within TM5‐4DVAR and LMDz models. The main goals of TransCom‐COS part II are (a) to compare the COS simulations using the two sets of optimized fluxes with simulations that use a control scenario (part I) and (b) to evaluate the simulated tropospheric COS abundance with aircraft‐based observations from various sources. The output of the seven transport models are grouped in terms of their vertical mixing strength: strong and weak mixing. The results indicate that all transport models capture the meridional distribution of COS at the surface well. Model simulations generally match the aircraft campaigns HIPPO and ATom. Comparisons to HIPPO and ATom demonstrate a gap between observed and modelled COS over the Pacific Ocean at 0–40°N, indicating a potential missing source in the free troposphere. The effects of seasonal continental COS uptake by the biosphere, observed on HIPPO and ATom over oceans, is well reproduced by the simulations. We found that the strength of the vertical mixing within the column as represented in the various atmospheric transport models explains much of the model to model differences. We also found that weak‐mixing models transporting the optimized flux derived from the strong‐mixing TM5 model show a too strong seasonal cycle at high latitudes.

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“…More studies are needed to understand how different NEE partitioning methods perform in different ecosystems under various environmental conditions. More robust and direct in situ GPP estimation such as carbonyl sulfide (Kooijmans et al, 2019;Stinecipher et al, 2022) is needed to accurately quantify regional and global GPP.…”

Section: Sources Of Uncertainties In This Studymentioning

confidence: 99%

Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus

Guan

Kimm

et al. 2022

Agricultural and Forest Meteorology

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Remotely Sensed Carbonyl Sulfide Constrains Model Estimates of Amazon Primary Productivity

Cited by 12 publications

References 55 publications

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS; Part One): Evaluating the Impact of Transport and Emissions on Tropospheric Variability Using Ground‐Based and Aircraft Data

Intercomparison of Atmospheric Carbonyl Sulfide (TransCom‐COS): 2. Evaluation of Optimized Fluxes Using Ground‐Based and Aircraft Observations

Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus

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