Concentration and seasonal variation of 10Be in surface aerosols of Lhasa, Tibet

Huang, Jie; Kang, Shichang; Shen, Chengde; Cong, Zhen; Liu, Kexin; Wang, Wei; Liu, Lichao

doi:10.1007/s11434-010-3233-1

Cited by 2 publications

(1 citation statement)

References 35 publications

(58 reference statements)

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“…There are fewer 10 Be measurements compared to 7 Be. Here we compiled two datasets of published 10 Be surface air measurements (Table S2) (Aldahan et al, 2008;Liu et al, 2022a;Yamagata et al, 2019;Padilla et al, 2019;Rodriguez-Perulero et al, 2019;Huang et al, 2010;Méndez-García et al, 2022;Elsässer et al, 2011;Dibb et al, 1994) and deposition fluxes (Table S3) covering more than 1 year, to validate the model performance. The air samples are continuously collected by filters using a high-flow aerosol sampler.…”

Section: Be and 10 Be Observational Data For Model Validationmentioning

confidence: 99%

Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Zheng,

Liu,

Adolphi

et al. 2023

Geosci. Model Dev.

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Abstract. The cosmogenic radionuclides 7Be and 10Be are useful tracers for atmospheric transport studies. Combining 7Be and 10Be measurements with an atmospheric transport model can not only improve our understanding of the radionuclide transport and deposition processes but also provide an evaluation of the transport process in the model. To simulate these aerosol tracers, it is critical to evaluate the influence of radionuclide production uncertainties on simulations. Here we use the GEOS-Chem chemical transport model driven by the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis to simulate 7Be and 10Be with the state-of-the-art production rate from the CRAC:Be (Cosmic Ray Atmospheric Cascade: Beryllium) model considering realistic spatial geomagnetic cutoff rigidities (denoted as P16spa). We also perform two sensitivity simulations: one with the default production rate in GEOS-Chem based on an empirical approach (denoted as LP67) and the other with the production rate from the CRAC:Be but considering only geomagnetic cutoff rigidities for a geocentric axial dipole (denoted as P16). The model results are comprehensively evaluated with a large number of measurements including surface air concentrations and deposition fluxes. The simulation with the P16spa production can reproduce the absolute values and temporal variability of 7Be and 10Be surface concentrations and deposition fluxes on annual and sub-annual scales, as well as the vertical profiles of air concentrations. The simulation with the LP67 production tends to overestimate the absolute values of 7Be and 10Be concentrations. The P16 simulation suggests less than 10 % differences compared to P16spa but a significant positive bias (∼18 %) in the 7Be deposition fluxes over East Asia. We find that the deposition fluxes are more sensitive to the production in the troposphere and downward transport from the stratosphere. Independent of the production models, surface air concentrations and deposition fluxes from all simulations show similar seasonal variations, suggesting a dominant meteorological influence. The model can also reasonably simulate the stratosphere–troposphere exchange process of 7Be and 10Be by producing stratospheric contribution and 10Be/7Be ratio values that agree with measurements. Finally, we illustrate the importance of including the time-varying solar modulations in the production calculation, which significantly improve the agreement between model results and measurements, especially at mid-latitudes and high latitudes. Reduced uncertainties in the production rates, as demonstrated in this study, improve the utility of 7Be and 10Be as aerosol tracers for evaluating and testing transport and scavenging processes in global models. For future GEOS-Chem simulations of 7Be and 10Be, we recommend using the P16spa (versus default LP67) production rate.

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Section: Be and 10 Be Observational Data For Model Validationmentioning

confidence: 99%

Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Zheng,

Liu,

Adolphi

et al. 2023

Geosci. Model Dev.

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Seasonal evolution of 7,10Be and 22Na in the near surface atmosphere of Cáceres (Spain)

Rodríguez-Perulero¹,

Baeza²,

Guillén³

2019

Journal of Environmental Radioactivity

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Concentration and seasonal variation of 10Be in surface aerosols of Lhasa, Tibet

Cited by 2 publications

References 35 publications

Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Seasonal evolution of 7,10Be and 22Na in the near surface atmosphere of Cáceres (Spain)

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Concentration and seasonal variation of 10Be in surface aerosols of Lhasa, Tibet

Cited by 2 publications

References 35 publications

Simulations of 7Be and 10Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Simulations of 7Be and 10Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Seasonal evolution of 7,10Be and 22Na in the near surface atmosphere of Cáceres (Spain)

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Product

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Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates

Simulations of ⁷Be and ¹⁰Be with the GEOS-Chem global model v14.0.2 using state-of-the-art production rates