7Be atmospheric activity concentration and meteorological data: Statistical analysis and two-layer atmospheric model

Uhlář, Radim; Haroková, Pavlína; Alexa, Petr; Kačmařík, Michal

doi:10.1016/j.jenvrad.2020.106278

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…At last, this paper selects the second method (visualization method of 3D cloud scene based on meteorological satellite data) and the third method (rendering and modeling method of stratus cloud based on weather forecast data), and compares the experimental results of the two recently proposed meteorological cloud data simulation methods [10]. Table 2 gives the frame rate of cloud image rendering of the three methods in experimental data set B.…”

Section: Experiments and Results Analysismentioning

confidence: 99%

Meteorological data modeling and 3D visualization based on adaptive grid structure

Lin

Huang

Zhong

2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

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Aiming at the problems of high modeling complexity and low rendering efficiency of existing visualization methods of real meteorological cloud data, a 3D visualization method of meteorological cloud data based on adaptive far-field grid structure of region of interest is proposed. Methods The region of interest was extracted to generate an adaptive far-field grid structure, which was applied to cloud particle modeling. The fine resolution of the region of interest was kept, and the number of particles in other regions was optimized. Finally, the rendering of 3D cloud images was completed. Simulation results based on WRF model meteorological cloud data show that the above grid structure can speed up rendering and rendering on the basis of ensuring the rendering quality, and can better display the morphology and structural characteristics of real clouds.

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Section: Experiments and Results Analysismentioning

confidence: 99%

Meteorological data modeling and 3D visualization based on adaptive grid structure

Lin

Huang

Zhong

2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

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“…Many studies have focused on understanding the signals in surface 7 Be measurements from worldwide monitoring stations (e.g., Hernandez-Ceballos et al, 2015;Rodriguez-Perulero et al, 2019;Uhlar et al, 2020;Ajtić et al, 2022;Burakowska et al, 2021). Due to the cosmogenic origin of 7 Be, surface air 7 Be concentrations are found to be connected to the 11-year cycle of solar modulation (Leppänen et al, 2010;Zheng et al, 2021b).…”

Section: Introductionmentioning

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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Beryllium-7 (7Be) and its variability in the near-surface atmosphere of Crimea, the Black Sea region

Kremenchutskii

Konovalov

2022

Atmospheric Pollution Research

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7Be atmospheric activity concentration and meteorological data: Statistical analysis and two-layer atmospheric model

Cited by 6 publications

References 16 publications

Meteorological data modeling and 3D visualization based on adaptive grid structure

Meteorological data modeling and 3D visualization based on adaptive grid structure

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

Beryllium-7 (7Be) and its variability in the near-surface atmosphere of Crimea, the Black Sea region

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7Be atmospheric activity concentration and meteorological data: Statistical analysis and two-layer atmospheric model

Cited by 6 publications

References 16 publications

Meteorological data modeling and 3D visualization based on adaptive grid structure

Meteorological data modeling and 3D visualization based on adaptive grid structure

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

Beryllium-7 (7Be) and its variability in the near-surface atmosphere of Crimea, the Black Sea region

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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