Automated Author ProfileTadesse, Michael G.
University of Central Florida
Tadesse, Michael G.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 2.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data supporting the paper: Calafat, F. M., T. Wahl, M. G. Tadesse, & S. Sparrow. Trends in Europe storm surge extremes match the rate of sea-level rise. Nature 603, 841-845. Please cite the paper above when using this data set. Data description: Bayesian_solutions_historical_total.nc: Bayesian estimates (posterior draws) of the GEV parameters, including trends in the GEV location parameter, at both tide gauge sites and prediction locations. This file also contains the observed surge annual maxima from tide gauge records on which these estimates are conditioned. Bayesian_solutions_historical_contributions.nc: Bayesian estimates (posterior draws) of the contributions from external forcing and internal climate variability to the trends in the GEV location parameter. Surge_annual_max_ensemble.nc: ensemble of surge annual maxima used to extract the pattern of response to external forcing.
Authors
- Calafat, Francisco M. ;
- Wahl, Thomas ;
- Tadesse, Michael G. ;
- Sparrow, Sarah
Data supporting the paper: Calafat, F. M., T. Wahl, M. G. Tadesse, & S. Sparrow. Trends in Europe storm surge extremes match the rate of sea-level rise. Nature 603, 841-845. Please cite the paper above when using this data set. Data description: Bayesian_solutions_historical_total.nc: Bayesian estimates (posterior draws) of the GEV parameters, including trends in the GEV location parameter, at both tide gauge sites and prediction locations. This file also contains the observed surge annual maxima from tide gauge records on which these estimates are conditioned. Bayesian_solutions_historical_contributions.nc: Bayesian estimates (posterior draws) of the contributions from external forcing and internal climate variability to the trends in the GEV location parameter. Surge_annual_max_ensemble.nc: ensemble of surge annual maxima used to extract the pattern of response to external forcing.
Authors
- Calafat, Francisco M. ;
- Wahl, Thomas ;
- Tadesse, Michael G. ;
- Sparrow, Sarah