Automated Organization ProfileYong
Yong
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset Details 1. Article Title: Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation
2. Journal: Geophysical Research Letters, 47(22), e2020GL091179, https://doi.org/10.1029/2020GL091179, 2020
3. Name and contact information:
Eberhard Bodenschatz,
Laboratory for Fluid Physics, Pattern Formation and Biocomplexity,
Max Planck Institute for Dynamics and Self-Organization,
Am Faßberg 17,
37077 Göttingen, Germany
4. Email: [email protected] 5. Funding: This research was funded by the Marie - Sk lodowska Curie Actions (MSCA) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 675675), and an extension to programme COMPLETE by Department of Applied Science and Technology, Politecnico di Torino. 6. Abstract: The activation of aerosols impacts the life cycle of a cloud. A detailed understanding is necessary for reliable climate prediction. Recent laboratory experiments demonstrate that aerosols can be activated in the wake of precipitating hydrometeors. However, many quantitative aspects of this wake‐induced activation of aerosols remain unclear. Here, we report a detailed numerical investigation of the activation potential of wake‐induced supersaturation. By Lagrangian tracking of aerosols, we show that a significant fraction of aerosols are activated in the supersaturated wake. These “lucky aerosols” are entrained in the wake's vortices and reside in the supersaturated environment sufficiently long to be activated. Our analyses show that this wake‐induced activation of aerosols can contribute to the life cycle of the clouds. Dataset Organization 1. Datasets are organized in folders which correspond to Figures in the Letter or in the Supporting Information (e.g., Figure 1 or Figure S2).
2. Details of the entries can be found in the header of each dataset.
3. Details of the simulation setup can be found in the text of each Figure. Software Details 1. Open-source LBM library Palabos (Latt et al., 2020). Link: https://palabos.unige.ch/
2. Data visualization is achieved using open-source library ParaView version 5.7 and Gnuplot Version 5.2.
Authors
- , Bhowmick ;
- , Wang ;
- , Iovieno ;
- , Bagheri ;
- , Bodenschatz
Dataset Details 1. Article Title: Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation
2. Journal: Geophysical Research Letters, 47(22), e2020GL091179, https://doi.org/10.1029/2020GL091179, 2020
3. Name and contact information:
Eberhard Bodenschatz,
Laboratory for Fluid Physics, Pattern Formation and Biocomplexity,
Max Planck Institute for Dynamics and Self-Organization,
Am Faßberg 17,
37077 Göttingen, Germany
4. Email: [email protected] 5. Funding: This research was funded by the Marie - Sk lodowska Curie Actions (MSCA) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 675675), and an extension to programme COMPLETE by Department of Applied Science and Technology, Politecnico di Torino. 6. Abstract: The activation of aerosols impacts the life cycle of a cloud. A detailed understanding is necessary for reliable climate prediction. Recent laboratory experiments demonstrate that aerosols can be activated in the wake of precipitating hydrometeors. However, many quantitative aspects of this wake‐induced activation of aerosols remain unclear. Here, we report a detailed numerical investigation of the activation potential of wake‐induced supersaturation. By Lagrangian tracking of aerosols, we show that a significant fraction of aerosols are activated in the supersaturated wake. These “lucky aerosols” are entrained in the wake's vortices and reside in the supersaturated environment sufficiently long to be activated. Our analyses show that this wake‐induced activation of aerosols can contribute to the life cycle of the clouds. Dataset Organization 1. Datasets are organized in folders which correspond to Figures in the Letter or in the Supporting Information (e.g., Figure 1 or Figure S2).
2. Details of the entries can be found in the header of each dataset.
3. Details of the simulation setup can be found in the text of each Figure. Software Details 1. Open-source LBM library Palabos (Latt et al., 2020). Link: https://palabos.unige.ch/
2. Data visualization is achieved using open-source library ParaView version 5.7 and Gnuplot Version 5.2.
Authors
- , Bhowmick ;
- , Wang ;
- , Iovieno ;
- , Bagheri ;
- , Bodenschatz