Automated Author ProfileMcAfee, Stephanie
University of Nevada Reno
McAfee, Stephanie
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: 0.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In Alaska, extreme climate events such as very warm days, very cold days, and intense storms can have a range of impacts, from damaging infrastructure to disrupting the tourism economy. For example, in 2013, a colder than normal spring led to late ice break-up and rapid thaw, causing massive flooding along the Yukon River that displaced roughly 500 residents in a single town. Meanwhile, in Denali, cold May temperatures delayed openings for some tourist-related businesses. Previous work has identified which atmospheric circulation patterns are associated with extreme events, information which can help refine forecasts and downscale future climate projections. The goal of this project is to test whether these patterns hold true for all days that experience extreme weather. So far, researchers have found that not all extreme days are created equal. Some extreme climate events, such as very warm summer days, routinely occur under the expected atmospheric circulation patterns, and those circulation patterns are almost always associated with extreme climate events. However, other extreme events, such as cold summer days, can occur under a much wider range of circulation patterns. Researchers will characterize this variability in the drivers of extreme events in Alaska, ultimately improving the ability of forecasters to predict the occurrence of these events in the future.
Authors
- McAfee, Stephanie ;
- Walston, Joshua